# Patent

## Title
Gene expression profiling of Parkinson's Disease

## Abstract

The present invention identifies the changes in gene expression associated with Parkinson's Disease by examining multiregional gene expression from normal brain and brain of Parkinson's Disease. The present also identifies the changes in gene expression associated with Parkinson's Disease by examining the expression of genes from normal blood and from the blood of patients with Parkinson's Disease. In another aspect, the present invention identifies expression profiles which serve as useful diagnostic markers as well as markers that can be used to monitor disease states, disease progression, drug toxicity, drug efficacy and drug metabolism.

## Background
CROSS-REFERENCE TO RELATED APPLICATIONS
This application is the national stage entry of International Application No. PCT/US2007/082132, filed Oct. 22, 2007, which is entitled to priority to U.S. Provisional Patent Application No. 60/852,966, which was filed on Oct. 20, 2006, both of which are incorporated by reference in their entirety.


SEQUENCE LISTING
The instant application contains a Sequence Listing which has been submitted in ASCII format via EFS-Web and is hereby incorporated by reference in its entirety. Said ASCII copy, created on Mar. 15, 2012, is named 7230-59.txt and is 78,145 bytes in size.
BACKGROUND OF THE INVENTION
Parkinson's Disease (PD) is one of the major progressive neurological disorders for which no preventative or long-term effective treatment strategies are available. Idiopathic PD is a multisystem disorder with a multifactorial etiology and diverse clinical phenotype. The risk of developing PD increases with age, and afflicted individuals are usually adults over 40. PD occurs in all parts of the world, and affects more than one million individuals in the United States alone.
PD is characterized by degeneration of dopaminergic neurons of the substantia nigra. The substantia nigra is a portion of the lower brain, or brain stem, that helps control voluntary movements. The shortage of dopamine in the brain caused by the loss of these neurons is believed to cause the observable disease symptoms.
The symptoms of PD may vary from patient to patient. The most common symptom is a paucity of movement: That is, rigidity characterized by an increased stiffness of voluntary skeletal muscles. Additional symptoms include resting tremor, bradykinesia (slowness of movement), poor balance, and problems walking. Common secondary symptoms include depression, sleep disturbance, dizziness, stooped posture, dementia, and problems with speech, breathing, and swallowing. The symptoms become progressively worse and ultimately result in death.
The primary cause of Parkinson's Disease is not known. Polymorphism in certain genes appears to be a risk factor, but there is no direct evidence for the causal relationship between polymorphism and increased risk of PD. Only a small percentage (<5%) of patients develop PD that may be linked to the currently known gene mutations (1). In familial PD, mutation in the synuclein gene is associated with the disease, but a direct role of this gene in degeneration of dopaminergic neurons remains to be established. Although mutations in the Parkin gene have been associated with autosomal recessive juvenile Parkinson's Disease, the role of this gene mutation in causing degeneration of dopaminergic neurons has not been defined. In idiopathic PD, epigenetic (mitochondria, membranes, protein modifications) rather than genetic events may be primary targets which, when impaired, initiate degeneration of dopaminergic neurons, eventually leading to cell death.
Although the nature of neurotoxins that cause degeneration in dopaminergic neurons in PD is not well understood, oxidative stress is one of the intermediary risk factors that could initiate and/or promote such degeneration. Therefore, supplementation with antioxidants may prevent or reduce the rate of PD progression. Supplementation with multiple antioxidants at appropriate doses is desirable because: various types of free radicals are produced in vivo, antioxidants vary in their ability to quench different free radicals, and cellular environments vary with respect to their lipid and aqueous phases. L-dihydroxyphenylalanine (L-dopa) is one of the agents used in the treatment of PD.
In addition to genome-wide association studies, which have identified polymorphisms that potentially confer susceptibility to PD (2), gene array surveys of the substantia nigra (SN) and other regions of the brain have provided some insights into the biological, cellular and molecular pathways implicated in PD (3-7).
There is a continuing need to identify genes and gene products that are associated with Parkinson's Disease or the progression of Parkinson's Disease, to provide means for screening, diagnosing, and evaluating Parkinson's Disease patients and patients suspected of having Parkinson's Disease. By identifying such genes and gene products, Parkinson's Disease treatments can be identified, evaluated, and may be selected for individualized care of PD patients.
SUMMARY OF THE INVENTION
The present disclosure identifies changes in gene expression that are associated with Parkinson's Disease. These changes in gene expression were identified by examining gene expression in multiple regions of normal brain samples and brain samples from patients having Parkinson's Disease. The gene expression analysis disclosed herein includes an analysis of multiple brain regions of PD patients, as well as an analysis of gene expression in the blood of PD patients, as compared to controls. As discussed more fully herein, genes or gene products that display differential gene expression in multiple regions of a PD brain, as compared to corresponding samples from control populations, are desirable as diagnostic and prognostic markers of PD.
In one aspect, the invention provides a method of diagnosing Parkinson's Disease in a patient. In this aspect, the method comprises detecting the level of expression of one or more genes from Tables 4-6 in a biological sample from the patient. The differential expression of these genes as compared to corresponding control levels is indicative of Parkinson's Disease.
In certain embodiments of the invention, the biological sample is a biological fluid, such as blood, urine, cerebrospinal fluid, or lymph, from the patient. Further, the biological sample may be derived from the biological fluid, such as a sample derived from blood.
In certain embodiments of the invention, the patient being tested is exhibiting symptoms of Parkinson's Disease or is being treated for Parkinson's Disease, making an evaluation of the patient for the presence of PD necessary. In these and other embodiments, the Parkinson's Disease is idiopathic Parkinson's Disease. In certain embodiments, the patient is known to be susceptible to PD, for example, on the basis of genotyping. Such genotyping may be conducted in addition to the gene expression analyses disclosed herein for further evaluation of the patient's disease state.
In another aspect, the invention provides a method for evaluating Parkinson's Disease in a patient. In this aspect, the method comprises determining a first level of expression of one or more genes from Tables 4-6 in a biological sample from the Parkinson's Disease patient. A treatment for Parkinson's Disease, or a candidate treatment, may then be administered to the patient if necessary. At least a second level of expression of the genes is subsequently determined in a biological sample that is obtained from the patient during the course of the treatment. Where the genes in the first sample are differentially expressed as compared to the second sample (or third, fourth, and so on), the treatment or candidate treatment is identified as being effective for treatment of the Parkinson's Disease. For example, L-dopa is known to produce free radicals during its normal metabolism. L-dopa may lead to the gene expression changes disclosed in the present invention, which may therefore be used to monitor drug efficacy. Thus, in this embodiment, the patient is undergoing therapy with L-dopa, and gene expression values monitored during treatment.
Any method of gene expression analysis may be used in accordance with the present invention, and such methods are well known in the art. For example, in certain embodiments, the level of expression of one or more genes listed in Tables 4-6 are determined by a nucleic acid polymerization or hybridization technology. For example, suitable assays include RT-PCR, northern blotting, and functionally similar techniques.
The genes identified herein as useful diagnostic and prognostic markers for PD are differentially expressed in one or more brain regions of Parkinson's Disease patients, as well as in other tissues. For example, such brain regions include substantia nigra, ventral tegmental area, cingulate cortex (BA35), insular cortex, amygdala, nucleus basalis, caudate, putamen, nucleus accumbens, globus pallidus, mediodorsal thalamus, pulvinar, subthalamic nucleus, nucleus ambiguous, cerebellar hemisphere, anterior cerebellar vermis, dorsal raphe, locus ceruleus, hypothalamus, hippocampus and reticular formation.
As disclosed herein, the genes identified in Tables 4-6 are differentially expressed in PD, including the following genes: Mitochondrial Ribosome Protein S6 (MRPS6), Solute Carrier Family 5, member 3 (SLC5A3), Histone 1, H2bd (H1ST1H2BD), RNA Binding Motif Protein 3 (RBM3), Solute Carrier Family 38, member 2 (SLC38A2), Cysteine/Histidine-rich Domain-Containing Zinc Binding Protein 1 (CHORDC1), Cold Inducible RNA Binding Protein (CIRBP), cAMP dependent protein kinase, beta catalytic subunit PRKACB, Stress-induced Phosphoprotein (STIP1), Hypothetical Protein FLJ33814, FUS Interacting Protein (serine/arginine-rich) 1 (FUSIP1), and Suppressor of Variegation 4-20 homolog 1 (SUV420H1). Table 4 lists these genes along with the number of brain regions for which they are differentially expressed, and the fold change in gene expression. The methods of the invention may determine the levels or changes in gene expression of one, two, five, ten, all, or nearly all, of these genes, or the level of their corresponding gene products (e.g., translation products) as discussed below.
In certain embodiments of the invention, the methods involve determining the levels of expression or changes in expression of at least two of MRP6, SLC5A3, and PRKACB. For example, MRP6 and SLC5A3 are expressed at higher levels in PD patients, while PRKACB is expressed at lower levels in PD patients.
As discussed herein, these aspects of the invention may be embodied in the form of a kit for diagnosing Parkinson's Disease. The kit may be designed for use in any gene expression assay. Generally, the kit includes a plurality of probes or a plurality of primers for detecting the expression level of one, or two or more, genes listed in Tables 4-6, including those listed above. The kit further includes the necessary reagents for detecting gene expression levels in a sample. The kit may also contain one or more solid supports having attached thereto the one or more probe oligonucleotides. For example, the solid support may be an oligonucleotide array. The kits may further comprise one or more reagents for use with the arrays, one or more signal detection and/or array-processing instruments, one or more gene expression databases, and one or more analysis and database management software packages.
In another aspect, the invention involves diagnosing Parkinson's Disease in a patient by detecting the level of one or more translation products in a biological sample from the patient. Such biological samples include biological fluids such as blood and blood products. The translation products detected in accordance with this aspect are the translation products of genes listed in Tables 4-6, including those listed above. Where there is a difference in the levels of the translation products in the sample as compared to control levels (as described herein), the patient is identified as having Parkinson's Disease.
In another aspect, the invention provides a method for evaluating Parkinson's Disease in a patient. The method comprises initially determining a first level of one or more translation products in a biological sample from a Parkinson's Disease patient. These translation products are the translation products of the genes listed in Tables 4-6, including those listed above. The first level of the gene products may be determined prior to treatment for PD. The patient may then be administered a treatment for Parkinson's Disease if necessary (e.g., L-dopa), and subsequently, at least a second level of the gene products is determined in a second biological sample obtained from the patient during the course of the treatment. Where a difference in the levels of the gene products in the first sample as compared to the second sample is detected, the treatment is determined to be effective for the treatment of Parkinson's Disease. In certain, embodiments, the first and second levels are also compared to the levels in healthy controls to further evaluate the efficacy of the treatment.
In accordance with this aspect, the translation products may be detected by any known method, including an immunological assay such as ELISA.
In accordance with these aspects, the invention may be embodied in the form of a kit for diagnosing Parkinson's Disease. The kit may be designed to detect gene products in accordance with any known immunological assay format, including ELISA and absorbent strip assays. Generally, the kit includes a plurality of antibodies for detecting the level of two or more gene products, the gene products being translation products of the genes listed in Tables 4-6, including those listed above. For example, the kit may comprise antibodies that recognize one, two, or all of MRP6, SLC5A3, and PRKACB, along with necessary reagents for detecting antigen/antibody reactions.
The invention further includes methods of screening for an agent capable of modulating the onset or progression of Parkinson's Disease, comprising the steps of exposing a cell to the agent; and detecting the expression level of one or more genes from Tables 4-6. Where the agent modulates the expression of the genes listed in Tables 4-6, as disclosed herein, the agent is a candidate agent for treating or mimicking Parkinson's Disease.



BRIEF DESCRIPTION OF THE DRAWINGS
FIG. 1 is a graph depicting quality control (QC) parameters for RNA. The relationships between RNA QC (determined by the average of the 5/3 signal ratios of β-actin and GapDH across Plus 2.0 chips) and the postmortem interval (PMI) in SN show no effect of the PMI on the QC measurements.
FIG. 2 is the regional brain sample tiling chart. Columns represent gene chips from individual subjects and rows represent gene chips used per regional comparison. Data from a total of 499 gene chips (283 from 22 PD patients and 216 from 23 aged control subjects) and from 21 regions passed RNA and microarray quality control and were used is our analysis.
FIG. 3 is a frequency pyramid showing the number of candidate genes (number inside pyramid) significantly regulated according to the number of brain regions (shown in rectangular box). Four genes topped the pyramid. Details of these genes are presented in Table 4.
FIG. 4 shows the results of MRPS6 gene expression (fold change “FC”) in PD patients versus normal aged controls: Gene array (caudate FC=2.7, SE=0.1 and insula FC=2.7, SE=0.1) and RT-PCR (caudate FC=2.6, SE=0.3 and insula FC=2.4, SE=0.3) methods produced similar levels of overexpression in 2 blindly selected regions (insula and caudate). Results of the comparisons of MRPS6 expression between groups were statistically significant (p<0.01) in both regions with both methods.
FIG. 5 shows the fold change in expression of MRPS6, CHORDC1, PRKACB, and SLC38A2 in the Amygdala and Substantia Niagra of post-mortem PD patients versus normal aged controls as determined by real-time RT-PCR.
FIG. 6 shows the fold change in gene expression of MRPS6 in blood from three PD patients versus that from blood of three control patients, as measured by RT-PCR. The expression of MRPS6 was normalized with respect to four known housekeeping genes, 18S rRNA, B2M, ACTB, and HPRT1. However, only HPRT1 was not disregulated in PD blood, and therefore, it was used as the standard housekeeping gene.
FIG. 7 shows the fold change in gene expression of SLC5A3 in blood from three PD patients versus that from blood of three control patients, as measured by RT-PCR. The expression of SLC5A3 was normalized with respect to four known housekeeping genes, 18S rRNA, B2M, ACTB, and HPRT1. As described in FIG. 6, only HPRT1 was not disregulated in PD blood. Thus, it was used as the standard housekeeping gene.



DETAILED DESCRIPTION OF EMBODIMENTS
Many biological functions are accomplished by altering the expression of various genes through transcriptional (e.g., through control of initiation, provision of RNA precursors, RNA processing, etc.) and/or translational control. For example, fundamental biological processes such as cell cycle, cell differentiation and cell death, are often characterized by the variations in the expression levels of groups of genes.
Changes in gene expression also are associated with pathogenesis. For example, the lack of sufficient expression of functional tumor suppressor genes and/or the over expression of oncogene/protooncogenes could lead to tumorgenesis or hyperplastic growth of cells (Marshall, (1991) Cell, 64, 313-326; Weinberg, (1991) Science, 254, 1138-1146). Thus, changes in the expression levels of particular genes serve as signposts for the presence and progression of various diseases.
The present inventors have examined tissue samples from multiple regions of normal brain and from known Parkinson's Disease samples, to identify the changes in gene expression associated with Parkinson's Disease. These changes in gene expression, also referred to as expression profiles, provide diagnostic markers as well as markers to monitor disease states, disease progression, and drug efficacy.
As shown herein, nucleic acid samples of isolated tissues from multiple brain regions of individuals with Parkinson's Disease, and from individuals without the disease, were applied to a DNA microarray. Multiregional gene expression analysis was then performed to identify genes with increased or decreased expression in subsets of Parkinson's Disease patients. Exemplary genes that are differentially expressed in PD brain samples are listed in Tables 4-6.
Gene microarrays were performed utilizing Affymetrix gene chips. Brain specimens from different cortical and subcortical regions were taken from PD and normal aged brain donors. Only samples satisfying strict RNA and microarray quality criteria were utilized in the multiregional comparisons between PD patients and controls. Gene expression was considered significantly different if the fold change was >±1.3, and p-values were ≦0.05.
The present inventors have also examined blood samples from Parkinson's Disease patients to identify or confirm the changes in gene expression associated with Parkinson's Disease.
Nucleic Acid-Based Assay Formats
The present invention includes methods that quantify expression levels in clinical samples as well as methods that determine whether a gene of interest is expressed at all or expressed above a threshold (e.g., a control threshold) in clinical samples. Thus, an assay which provides a “yes or no” result without necessarily providing quantification of gene expression is within the scope of the present invention. Thus, the invention may involve quantitative or qualitative assessment of gene expression.
The genes identified as being differentially expressed in Parkinson's Disease may be used in a variety of nucleic acid detection assays to detect or quantify the expression level of a gene or multiple genes in a given sample. For example, traditional Northern blotting, nuclease protection, RT-PCR and differential display methods may be used for detecting gene expression levels, including Taqman and flap endonuclease assays. Additional assays include array or chip hybridization-based methods, which are convenient when determining the expression levels of a larger number of genes.
In some embodiments, the invention may employ reverse transcription polymerase chain reaction (RT-PCR), which is a sensitive method for the detection of mRNA, including low abundant mRNAs present in clinical tissue samples. The application of fluorescence techniques to RT-PCR combined with suitable instrumentation has led to quantitative RT-PCR methods that combine amplification, detection and quantification in a closed system. Two commonly used quantitative RT-PCR techniques are the Taqman RT-PCR assay (ABI, Foster City, USA) and the Lightcycler assay (Roche, USA).
Thus, in one embodiment of the present invention, the method comprises conducting real-time quantitative PCR (TaqMan) with sample-derived RNA and control RNA. Holland, et al., PNAS 88:7276-7280 (1991) describe an assay known as a Taqman assay. The 5′ to 3′ exonuclease activity of Taq polymerase is employed in a polymerase chain reaction product detection system to generate a specific detectable signal concomitantly with amplification. An oligonucleotide probe, nonextendable at the 3′ end, labeled at the 5′ end, and designed to hybridize within the target sequence, is introduced into the polymerase chain reaction assay. Annealing of the probe to one of the polymerase chain reaction product strands during the course of amplification generates a substrate suitable for exonuclease activity. During amplification, the 5′ to 3′ exonuclease activity of Taq polymerase degrades the probe into smaller fragments that can be differentiated from undegraded probe. A version of this assay is also described in Gelfand et al., in U.S. Pat. No. 5,210,015, which is hereby incorporated by reference.
Further, U.S. Pat. No. 5,491,063 to Fisher, et al., provides a Taqman-type assay. The method of Fisher et al. provides a reaction that results in the cleavage of single-stranded oligonucleotide probes labeled with a light-emitting label wherein the reaction is carried out in the presence of a DNA binding compound that interacts with the label to modify the light emission of the label. The method utilizes the change in light emission of the labeled probe that results from degradation of the probe. The methods are applicable in general to assays that utilize a reaction that results in cleavage of oligonucleotide probes, and in particular, to homogeneous amplification/detection assays where hybridized probe is cleaved concomitant with primer extension.
The TaqMan detection assays offer several advantages over the classical PCR assays. First, the TaqMan assays combine the sensitivity of PCR along with hybridization of the internal oligonucleotide sequence that is present in a target sequence. Following PCR, samples do not have to be separated on agarose gels, and the subsequent Southern blots and hybridization steps that are necessary to verify the identity of the PCR products is eliminated. Using the TaqMan system, the assays are completed within 2.5 h. Further, the methodology involved in the assay process makes possible the handling of large numbers of samples efficiently and without cross-contamination and is therefore adaptable for robotic sampling. As a result, large numbers of test samples can be processed in a very short period of time using the TaqMan assay. Another advantage of the TaqMan system is the potential for multiplexing. Since different fluorescent reporter dyes can be used to construct probes, the expression of several different genes associated with PD could be assayed in the same PCR reaction, thereby reducing the labor costs that would be incurred if each of the tests were performed individually.
In other embodiments, the invention employs detection and quantification of RNA levels in real-time using nucleic acid sequence based amplification (NASBA) combined with molecular beacon detection molecules. NASBA is a singe-step isothermal RNA-specific amplification method that amplifies mRNA in a double stranded DNA environment, and this method has recently proven useful in the detection of various mRNAs, and in the detection of both viral and bacterial RNA in clinical samples.
In yet other embodiments, the invention uses an assay employing a flap endonuclease, such as the InvaderTM assay (Third Wave Technologies). In the case of using the invader method, an invader probe containing a sequence specific to the region 3′ to a target site, and a primary probe containing a sequence specific to the region 5′ to the target site of a template and an unrelated flap sequence, are prepared. Cleavase is then allowed to act in the presence of these probes, the target molecule, as well as a FRET probe containing a sequence complementary to the flap sequence and an auto-complementary sequence that is labeled with both a fluorescent dye and a quencher. When the primary probe hybridizes with the template, the 3′ end of the invader probe penetrates the target site, and this structure is cleaved by the Cleavase resulting in dissociation of the flap. The flap binds to the FRET probe and the fluorescent dye portion is cleaved by the Cleavase resulting in emission of fluorescence.
The invention may also employ hybridization-based assays. Nucleic acid hybridization simply involves contacting a probe and target nucleic acid under conditions where the probe and its complementary target can form stable hybrid duplexes through complementary base pairing (see Lockhart et al., (1999) WO 99/32660). The nucleic acids that do not form hybrid duplexes are then washed away leaving the hybridized nucleic acids to be detected, typically through detection of an attached detectable label. It is generally recognized that nucleic acids are denatured by increasing the temperature or decreasing the salt concentration of the buffer containing the nucleic acids.
Under low stringency conditions (e.g., low temperature and/or high salt) hybrid duplexes (e.g., DNA-DNA, RNA-RNA or RNA-DNA) will form even where the annealed sequences are not perfectly complementary. Thus specificity of hybridization is reduced at lower stringency. Conversely, at higher stringency (e.g., higher temperature or lower salt) successful hybridization requires fewer mismatches. One of skill in the art will appreciate that hybridization conditions may be selected to provide any degree of stringency. In a preferred embodiment, hybridization is performed at low stringency, in this case in 6×SSPE-T at 37° C. (0.005% Triton x-100) to ensure hybridization and then subsequent washes are performed at higher stringency (e.g., 1×SSPE-T at 37° C.) to eliminate mismatched hybrid duplexes. Successive washes may be performed at increasingly higher stringency (e.g., down to as low as 0.25×SSPET at 37° C. to 50° C.) until a desired level of hybridization specificity is obtained. Stringency can also be increased by addition of agents such as formamide. Hybridization specificity may be evaluated by comparison of hybridization to the test probes with hybridization to the various controls that can be present (e.g., expression level control, normalization control, mismatch controls, etc.).
In general, there is a tradeoff between hybridization specificity (stringency) and signal intensity. Thus, in a preferred embodiment, the wash is performed at the highest stringency that produces consistent results and that provides a signal intensity greater than approximately 10% of the background intensity. Thus, in a preferred embodiment, the hybridized array may be washed at successively higher stringency solutions and read between each wash. Analysis of the data sets thus produced will reveal a wash stringency above which the hybridization pattern is not appreciably altered and which provides adequate signal for the particular oligonucleotide probes of interest.
The hybridized nucleic acids are typically detected by detecting one or more labels attached to the sample nucleic acids. The labels may be incorporated by any of a number of means well known to those of skill in the art (see Lockhart et al., (1999) WO 99/32660).
When employing hybridization formats, solution-based and solid support-based assay formats may be employed. Solid supports containing oligonucleotide probes for differentially expressed genes of the invention can be filters, polyvinyl chloride dishes, silicon or glass based chips, etc. Such wafers and hybridization methods are widely available, for example, those disclosed by Beattie (WO 95/11755). Any solid surface to which oligonucleotides can be bound, either directly or indirectly, either covalently or non-covalently, can be used. An exemplary solid support is a high density array or DNA chip. These contain a particular oligonucleotide probe in a predetermined location on the array. Each predetermined location may contain more than one molecule of the probe, but each molecule within the predetermined location has an identical sequence. Such predetermined locations are termed features. There may be, for example, about 2, 10, 100, 1000 to 10,000; 100,000 or 400,000 of such features on a single solid support. The solid support, or the area within which the probes are attached may be on the order of a square centimeter.
Oligonucleotide probe arrays for expression monitoring can be made and used according to any techniques known in the art (see for example, Lockhart et al., (1996) Nat. Biotechnol. 14, 1675-1680; McGall et al., (1996) Proc. Nat. Acad. Sci. USA 93, 13555-13460). Such probe arrays may contain at least two or more oligonucleotides that are complementary to or hybridize to two or more of the genes described herein. Such arrays may also contain oligonucleotides that are complementary or hybridize to at least about 2, 3, 4, 5, 6, 7, 8, 9, 10, 20, 30, 50, or all of the genes described herein as being differentially expressed in PD.
The mRNA or reversed transcribed mRNA may optionally be cloned or amplified. The cloning itself does not appear to bias the representation of mRNA within a population. However, it may be preferable to use polyA+RNA as a source, as it can be used with less processing steps.
The sequences of the expression marker genes are in the public databases. Table 4 provides the Affymetrix fragment ID for several genes that are differentially expressed in PD, as well as the SEQ ID NOS. The column labeled “Gene Symbol” refers to the abbreviated names of the genes correlating the Affymetrix gene fragment ID. Table 6 further lists the GeneBank accession IDs for the differentially expressed genes, which are hereby incorporated by reference.
Probes based on the sequences of the genes described herein may be prepared by any commonly available method. Oligonucleotide probes for assaying the tissue or cell sample are preferably of sufficient length to specifically hybridize only to appropriate, complementary genes or transcripts. Typically the oligonucleotide probes will be at least 10, 12, 14, 16, 18, 20 or 25 nucleotides in length. In some cases longer probes of at least 30, 40, or 50 nucleotides will be desirable.
As used herein, oligonucleotide sequences that are complementary to one or more of the genes described herein, refers to oligonucleotides that are capable of hybridizing under stringent conditions to at least part of the nucleotide sequence of said genes. Such hybridizable oligonucleotides will typically exhibit at least about 75% sequence identity at the nucleotide level to said genes, preferably about 80% or 85% sequence identity or more preferably about 90% or 95% or more sequence identity to said genes. In some embodiments, the oligonucleotide probes are identical to a portion of the genes disclosed herein, and usually identical in a range of 10-30 nucleotides, such as 15-20 nucleotides.
The terms “background” or “background signal intensity” refer to hybridization signals resulting from non-specific binding, or other interactions, for example between a labeled target nucleic acid and components of the oligonucleotide array (e.g., the oligonucleotide probes, control probes, the array substrate, etc.). Background signals may also be produced by intrinsic fluorescence of the array components themselves. A single background signal can be calculated for the entire array, or a different background signal may be calculated for each target nucleic acid. In a preferred embodiment, background is calculated as the average hybridization signal intensity for the lowest 5% to 10% of the probes in the array, or, where a different background signal is calculated for each target gene, for the lowest 5% to 10% of the probes for each gene. Of course, one of skill in the art will appreciate that where the probes to a particular gene hybridize well and thus appear to be specifically binding to a target sequence, they should not be used in a background signal calculation. Alternatively, background may be calculated as the average hybridization signal intensity produced by hybridization to probes that are not complementary to any sequence found in the sample (e.g., probes directed to nucleic acids of the opposite sense or to genes not found in the sample such as bacterial genes). Background can also be calculated as the average signal intensity produced by regions of the array that lack any probes at all.
The phrase “hybridizing specifically to” refers to the binding, duplexing or hybridizing of a molecule substantially to or only to a particular nucleotide sequence or sequences under stringent conditions when that sequence is present in a complex mixture (e.g., total cellular) DNA or RNA.
The term “mismatch control” or “mismatch probe” refer to a probe whose sequence is deliberately selected not to be perfectly complementary to a particular target sequence. For each mismatch (MM) control in a high-density array there typically exists a corresponding perfect match (PM) probe that is perfectly complementary to the same particular target sequence. The mismatch may comprise one or more bases.
While the mismatch(es) may be located anywhere in the mismatch probe, terminal mismatches are less desirable as a terminal mismatch is less likely to prevent hybridization of the target sequence. In a particularly preferred embodiment, the mismatch is located at or near the center of the probe such that the mismatch is most likely to destabilize the duplex with the target sequence under the test hybridization conditions. The term “perfect match probe” refers to a probe that has a sequence that is perfectly complementary to a particular target sequence. The test probe is typically perfectly complementary to a portion (subsequence) of the target sequence. The perfect match (PM) probe can be a “test probe”, a “normalization control” probe, an expression level control probe and the like. A perfect match control or perfect match probe is, however, distinguished from a “mismatch control” or “mismatch probe.”
As used herein a “probe” is defined as a nucleic acid, capable of binding to a target nucleic acid of complementary sequence through one or more types of chemical bonds, usually through complementary base pairing, usually through hydrogen bond formation. As used herein, a probe may include natural (i.e., A, G, U, C or T) or modified bases (7-deazaguanosine, inosine, etc.). In addition, the bases in probes may be joined by a linkage other than a phosphodiester bond, so long as it does not interfere with hybridization. Thus, probes may be peptide nucleic acids in which the constituent bases are joined by peptide bonds rather than phosphodiester linkages.
The term “stringent conditions” refers to conditions under which a probe will hybridize to its target subsequence, but with only insubstantial hybridization to other sequences or to other sequences such that the difference may be identified. Stringent conditions are sequence-dependent and will be different in different circumstances. Longer sequences hybridize specifically at higher temperatures. Generally, stringent conditions are selected to be about 5° C. lower than the thermal melting point (Tm) for the specific sequence at a defined ionic strength and pH.
Typically, stringent conditions will be those in which the salt concentration is at least about 0.01 to 1.0 M sodium ion concentration (or other salts) at pH 7.0 to 8.3 and the temperature is at least about 30° C. for short probes (e.g., 10 to 50 nucleotide). Stringent conditions may also be achieved with the addition of destabilizing agents such as formamide.
The “percentage of sequence identity” or “sequence identity” is determined by comparing two optimally aligned sequences or subsequences over a comparison window or span, wherein the portion of the polynucleotide sequence in the comparison window may optionally comprise additions or deletions (i.e., gaps) as compared to the reference sequence (which does not comprise additions or deletions) for optimal alignment of the two sequences. The percentage is calculated by determining the number of positions at which the identical monomer unit (e.g., nucleic acid base or amino acid residue) occurs in both sequences to yield the number of matched positions, dividing the number of matched positions by the total number of positions in the window of comparison and multiplying the result by 100 to yield the percentage of sequence identity. Percentage sequence identity when calculated using the programs GAP or BESTFIT (see below) is calculated using default gap weights.
Homology or identity may be determined by BLAST (Basic Local Alignment Search Tool) analysis using the algorithm employed by the programs blastp, blastn, blastx, tblastn and tblastx (Karlin et al., (1990) Proc. Natl. Acad. Sci. USA 87, 2264-2268 and Altschul, (1993) J. Mol. Evol. 36, 290-300, fully incorporated by reference) which are tailored for sequence similarity searching. The approach used by the BLAST program is to first consider similar segments between a query sequence and a database sequence, then to evaluate the statistical significance of all matches that are identified and finally to summarize only those matches which satisfy a preselected threshold of significance. For a discussion of basic issues in similarity searching of sequence databases, see Altschul et al., (1994) Nature Genet. 6, 119-129) which is filly incorporated by reference. The search parameters for histogram, descriptions, alignments, expect (i.e., the statistical significance threshold for reporting matches against database sequences), cutoff, matrix and filter are at the default settings. The default scoring matrix used by blastp, blastx, tblastn, and tblastx is the BLOSUM62 matrix (Henikoff et al., (1992) Proc. Natl. Acad. Sci. USA 89, 10915-10919, fully incorporated by reference). Four blastn parameters were adjusted as follows: Q=10 (gap creation penalty); R=10 (gap extension penalty); wink=1 (generates word hits at every WinkTM position along the query); and gapw=16 (sets the window width within which gapped alignments are generated). The equivalent Blastp parameter settings were Q=9; R=2; wink=1; and gapw=32. A Bestfit comparison between sequences, available in the GCG package version 10.0, uses DNA parameters GAP=50 (gap creation penalty) and LEN=3 (gap extension penalty) and the equivalent settings in protein comparisons are GAP=8 and LEN=2.
The design of appropriate probes for hybridizing to a particular target nucleic acid, and as configured for any appropriate nucleic acid detection assay, is well known, and discussed supra.
Further, with respect to arrays, one of skill in the art will appreciate that an enormous number of array designs are suitable for the practice of this invention, where array embodiments are desirable. The array will typically include a number of probes that specifically hybridize to the sequences of interest. See WO 99/32660 for methods of producing probes for a given gene or genes. In addition, in a preferred embodiment, the array will include one or more control probes.
High density array chips of the invention include “test probes.” Test probes may be oligonucleotides that range from about 5 to about 500 or about 5 to about 50 nucleotides, more preferably from about 10 to about 40 nucleotides and most preferably from about 15 to about 40 nucleotides in length. In other particularly preferred embodiments the probes are about 20 to 25 nucleotides in length. In another preferred embodiment, test probes are double or single strand DNA sequences. DNA sequences are isolated or cloned from natural sources or amplified from natural sources using natural nucleic acid as templates. These probes have sequences complementary to particular subsequences of the genes whose expression they are designed to detect. Thus, the test probes are capable of specifically hybridizing to the target nucleic acid they are to detect.
In addition to test probes that bind the target nucleic acid(s) of interest, the high density array can contain a number of control probes. The control probes fall into three categories referred to herein as (1) normalization controls; (2) expression level controls; and (3) mismatch controls.
Normalization controls are oligonucleotide or other nucleic acid probes that are complementary to labeled reference oligonucleotides or other nucleic acid sequences that are added to the nucleic acid sample. The signals obtained from the normalization controls after hybridization provide a control for variations in hybridization conditions, label intensity, “reading” efficiency and other factors that may cause the signal of a perfect hybridization to vary between arrays. In a preferred embodiment, signals (e.g., fluorescence intensity) read from all other probes in the array are divided by the signal (e.g., fluorescence intensity) from the control probes thereby normalizing the measurements.
Virtually any probe may serve as a normalization control. However, it is recognized that hybridization efficiency varies with base composition and probe length. Preferred normalization probes are selected to reflect the average length of the other probes present in the array, however, they can be selected to cover a range of lengths. The normalization control(s) can also be selected to reflect the (average) base composition of the other probes in the array, however in a preferred embodiment, only one or a few probes are used and they are selected such that they hybridize well (i.e., no secondary structure) and do not match any target-specific probes.
Expression level controls are probes that hybridize specifically with constitutively expressed genes in the biological sample. Virtually any constitutively expressed gene provides a suitable target for expression level controls. Typical expression level control probes have sequences complementary to subsequences of constitutively expressed “housekeeping genes” including, but not limited to the β-actin gene, the transferrin receptor gene, the GAPDH gene, the HPRT1 gene, and the like. As disclosed herein, the HPRT1 gene is particularly suitable as a control for expression, since HPRT1 is not differentially expressed in PD patients.
Mismatch controls may also be provided for the probes to the target genes, for expression level controls or for normalization controls. Mismatch controls are oligonucleotide probes or other nucleic acid probes identical to their corresponding test or control probes except for the presence of one or more mismatched bases. A mismatched base is a base selected so that it is not complementary to the corresponding base in the target sequence to which the probe would otherwise specifically hybridize. One or more mismatches are selected such that under appropriate hybridization conditions (e.g., stringent conditions) the test or control probe would be expected to hybridize with its target sequence, but the mismatch probe would not hybridize (or would hybridize to a significantly lesser extent). Preferred mismatch probes contain a central mismatch. Thus, for example, where a probe is a twenty-mer, a corresponding mismatch probe will have the identical sequence except for a single base mismatch (e.g., substituting a G, a C or a T for an A) at any of positions 6 through 14 (the central mismatch).
Mismatch probes thus provide a control for non-specific binding or cross hybridization to a nucleic acid in the sample other than the target to which the probe is directed. Mismatch probes also indicate whether a hybridization is specific or not. For example, if the target is present the perfect match probes should be consistently brighter than the mismatch probes. In addition, if all central mismatches are present, the mismatch probes can be used to detect a mutation. The difference in intensity between the perfect match and the mismatch probe (IBM)-I(MM)) provides a good measure of the concentration of the hybridized material.
Nucleic Acid Samples
As is apparent to one of ordinary skill in the art, nucleic acid samples used in the methods and assays of the invention may be prepared by any available method or process. Methods of isolating total mRNA are also well known to those of skill in the art. For example, methods of isolation and purification of nucleic acids are described in detail in Chapter 3 of Laboratory Techniques in Biochemistry and Molecular Biology: Hybridization With Nucleic Acid Probes, Part I Theory and Nucleic Acid Preparation, Tijssen, (1993) (editor) Elsevier Press. Such samples include RNA samples, but also include cDNA synthesized from a mRNA sample isolated from a cell or tissue of interest. Such samples also include DNA amplified from the cDNA, and an RNA transcribed from the amplified DNA. One of skill in the art would appreciate that it is desirable to inhibit or destroy RNase present in homogenates before homogenates can be used.
Biological samples may be of any biological tissue or fluid or cells. Typical clinical samples include, but are not limited to, sputum, blood, blood-cells (e.g., white cells), tissue or fine needle biopsy samples, urine, lymph, cerebrospinal fluid, peritoneal fluid, and pleural fluid, or cells therefrom.
Biological samples may also include sections of tissues, such as frozen sections or formalin fixed sections taken for histological purposes. In one embodiment, the tissues for the gene expression analysis are brain tissues, which includes brain tissue derived from several regions of the brain. Typical brain tissue samples include, but are not limited to, substantia nigra, ventral tegmental area, cingulate cortex (BA35), insular cortex, amygdala, nucleus basalis, caudate, putamen, nucleus accumbens, globus pallidus, mediodorsal thalamus, pulvinar, subthalamic nucleus, nucleus ambiguous, cerebellar hemisphere, anterior cerebellar vermis, dorsal raphe, locus ceruleus, hypothalamus, hippocampus and reticular formation. The tissues may be obtained from postmortem brain specimens or live patients.
Databases
The present invention includes relational databases containing sequence information, for instance for the genes of Tables 4-6, as well as gene expression information in various tissue samples, including brain and blood samples. Databases may also contain information associated with a given sequence or tissue sample such as descriptive information about the gene associated with the sequence information, or descriptive information concerning the clinical status of the tissue sample, or the patient from which the sample was derived. The database may be designed to include different parts, for instance a sequences database and a gene expression database. Methods for the configuration and construction of such databases are widely available, for instance, see Akerblom et al., (1999) U.S. Pat. No. 5,953,727, which is herein incorporated by reference in its entirety.
A database of the invention may include gene expression information for about 2, 3, 4, 5, 6, 7, 8, 9, 10, 15, 20, 25, 30, 50, 75, 100, 200, 500, 1000 or more genes, wherein the gene expression information is from diseased brain tissues or controls as described herein.
The databases of the invention may be linked to an outside or external database. In a preferred embodiment, as described in Tables 4-6, the external database is GenBank and the associated databases maintained by the National Center for Biotechnology Information (NCBI).
Any appropriate computer platform may be used to perform the necessary comparisons between sequence information, gene expression information and any other information in the database or provided as an input. For example, a large number of computer workstations are available from a variety of manufacturers, such has those available from Silicon Graphics. Client-server environments, database servers and networks are also widely available and appropriate platforms for the databases of the invention.
The databases of the invention may be used to produce, among other things, electronic Northerns to allow the user to determine the cell type or tissue in which a given gene is expressed and to allow determination of the abundance or expression level of a given gene in a particular tissue or cell.
The databases of the invention may also be used to present information identifying the expression level in a tissue or cell of a set of genes comprising at least one gene in Tables 4-6 comprising the step of comparing the expression level of at least one gene in Tables 4-6 in the tissue to the level of expression of the gene in the database. Such methods may be used to predict the physiological state of a given tissue by comparing the level of expression of a gene or genes in Tables 4-6 from a sample to the expression levels found in tissue from normal brain and brain of Parkinson's Disease patients. Such methods may also be used in the drug or agent screening assays as described below.
Detection Reports
As described above, the methods, databases and computer systems of the invention can be used to produce, deliver and/or send a detection or diagnosis report. The detection report of the invention typically comprises information or data related to the results of the practice of a method of the invention. For instance, the practice of a method of identifying genes associated with Parkinson's Disease as herein described may result in the preparation or production of a report describing the results of the method. The report may comprise information related to the candidate genes predicted by the comparison of at least one diseased sample to at least one normal sample. The report may also present information concerning the nucleic acid hybridization data, such as the integrity of the data as well as information inputted by the user of the database and methods of the invention, such as information used to annotate the nucleic acid hybridization data. As described elsewhere in this specification, the report may be generated by a server or computer system to which is loaded nucleic acid hybridization data by a user. The report related to that nucleic acid data may be generated and delivered to the user via remote means such as a password secured environment available over the internet or via available computer communication means such as email.
Antibody-Based Detection Methods
The present invention also employs methods for detecting the translation products of the genes listed in Tables 4-6 in clinical samples such as those described herein. For example, the present invention provides blood-based assays for diagnosing Parkinson's Disease by detecting the level of one or more proteins (encoded by genes in Tables 4-6) present in the blood. Numerous antibody-based detection formats are well known in the art, and include ELISA, radioimmunoassays, immunoblots, Western blots, flow cytometry, immunofluorescence, immunoprecipitation, and other related techniques. The antibodies may be provided in a diagnostic kit that incorporates at least one of these procedures to detect the translation products of the genes described herein as being differentially expressed in PD. The kit may contain other components, packaging, instructions, or other material to aid the detection of the protein and use of the kit.
In this aspect of the invention, the method may include a step of comparing the level of the PD biomarker expression in a clinical sample to a baseline level (also known as a control level) of biomarker expression. According to the present invention, a “baseline level” is a control level, and in some embodiments a normal or non-PD level. Therefore, it can be determined, based on the control or baseline level of biomarker expression, whether a sample to be evaluated for PD has a measurable increase, decrease, or substantially no change in biomarker expression, as compared to the baseline level. In certain embodiments, the baseline can be indicative of a particular stage of PD which will allow a patient's sample to be “staged.” In yet another embodiment, the baseline level can be established from a previous sample from the patient being tested, so that the disease state of a patient can be monitored over time and/or so that the efficacy of a given therapeutic protocol can be evaluated over time.
The method for establishing a baseline level of biomarker expression or activity is selected based on the sample type, the tissue or organ from which the sample is obtained, the status of the patient to be evaluated, and, as discussed above, the focus or goal of the assay (e.g., diagnosis, staging, monitoring). Preferably, the method is the same method that will be used to evaluate the sample in the patient. In one embodiment, when the goal of the assay is diagnosis of PD, it is desirable to take the control sample from a population of cells, a tissue or a bodily fluid which is believed to represent a “normal” cell, tissue, or bodily fluid.
Various immunoassays known in the art can be used in conjunction with the present invention, including but not limited to, competitive and non-competitive assay systems using techniques such as radioimmunoassays, ELISA (enzyme linked immunosorbent assay), “sandwich” immunoassays, immunoradiometric assays, gel diffusion precipitation reactions, immunodiffusion assays, in situ immunoassays (using colloidal gold, enzyme or radioisotope labels, for example), western blots, precipitation reactions, agglutination assays (e.g., gel agglutination assays, hemagglutination assays), complement fixation assays, immunofluorescence assays, protein A assays, and immunoelectrophoresis assays. In one embodiment, antibody binding is detected by detecting a label on the primary antibody. In another embodiment, the primary antibody is detected by detecting binding of a secondary antibody or reagent to the primary antibody. In a further embodiment, the secondary antibody is labeled. Many means are known in the art for detecting binding in an immunoassay and are within the scope of the present invention.
Drug Screening
As described above, the genes and gene expression information provided in Tables 4-6 may be used as diagnostic markers for the prediction or identification of PD. For instance, a clinical sample from a patient may be assayed by any of the methods described above, and the expression levels from a gene or genes from Tables 4-6, may be compared to the expression levels found in non-diseased samples, and/or expression levels found in samples from Parkinson's Disease patients. Comparison of the expression data, as well as available sequence or other information may be done by researcher or diagnostician or may be done with the aid of a computer and databases as described above.
As described above, the genes and gene expression information provided in Tables 4-6 may also be used as markers for the monitoring PD progression, for instance, the development of Parkinson's Disease. For instance, a brain tissue sample or other sample from a patient may be assayed by any of the methods described above, and the expression levels in the sample from a gene or genes from Table 4 may be compared to the expression levels found in normal and tissue of Parkinson's Disease. Comparison of the expression data, as well as available sequence or other information may be done by researcher or diagnostician or may be done with the aid of a computer and databases as described above.
According to the present invention, the genes identified in Tables 4-6 may also be used as markers to evaluate the effects of a candidate drug or agent on a cell, particularly a Parkinson's Disease cell or tissue sample. A candidate drug or agent can be screened for the ability to simulate the transcription or expression of a given marker or markers (drug targets) or to down-regulate or counteract the transcription or expression of a marker or markers. According to the present invention, one can also compare the specificity of drugs' effects by looking at the number of markers which the drugs have and comparing them. More specific drugs will have fewer transcriptional targets. Similar sets of markers identified for two drugs indicates a similarity of effects.
Assays to monitor the expression of a marker or markers as defined in Tables 4-6 may utilize any available means of monitoring for changes in the expression level of the nucleic acids of the invention. As used herein, an agent is said to modulate the expression of a nucleic acid of the invention if it is capable of up- or down-regulating expression of the nucleic acid in a cell.
In one assay format, gene chips containing probes to at least two genes from Tables 4-6 may be used to directly monitor or detect changes in gene expression in the treated or exposed cell as described in more detail above. In another format, cell lines that contain reporter gene fusions between the open reading frame and/or the 3′ or 5′ regulatory regions of a gene in Tables 4-6 and any assayable fusion partner may be prepared. Numerous assayable fusion partners are known and readily available including the firefly luciferase gene and the gene encoding chloramphenicol acetyltransferase (Alam et al., (1990) Anal. Biochem. 188, 245-254). Cell lines containing the reporter gene fusions are then exposed to the agent to be tested under appropriate conditions and time. Differential expression of the reporter gene between samples exposed to the agent and control samples identifies agents which modulate the expression of the nucleic acid.
Additional assay formats may be used to monitor the ability of the agent to modulate the expression of a gene identified in Tables 4-6. For instance, as described above, mRNA expression may be monitored directly by hybridization of probes to the nucleic acids of the invention. Cell lines are exposed to the agent to be tested under appropriate conditions and time and total RNA or mRNA is isolated by standard procedures such those disclosed in Sambrook et al., (1989) Molecular Cloning—A Laboratory Manual, Cold Spring Harbor Laboratory Press).
In another assay format, cells or cell lines are first identified which express the gene products of the invention physiologically. Cell and/or cell lines so identified would be expected to comprise the necessary cellular machinery such that the fidelity of modulation of the transcriptional apparatus is maintained with regard to exogenous contact of agent with appropriate surface transduction mechanisms and/or the cytosolic cascades. Such cell lines may be, but are not required to be, derived from brain tissue. Further, such cells or cell lines may be transduced or transfected with an expression vehicle (e.g., a plasmid or viral vector) construct comprising an operable non-translated 5′-promoter containing end of the structural gene encoding the instant gene products fused to one or more antigenic fragments, which are peculiar to the instant gene products, wherein said fragments are under the transcriptional control of said promoter and are expressed as polypeptides whose molecular weight can be distinguished from the naturally occurring polypeptides or may further comprise an immunologically distinct tag. Such a process is well known in the art (see Sambrook et al., (1989) Molecular Cloning—A Laboratory Manual, Cold Spring Harbor Laboratory Press).
Cells or cell lines transduced or transfected as outlined above are then contacted with agents under appropriate conditions; for example, the agent comprises a pharmaceutically acceptable excipient and is contacted with cells comprised in an aqueous physiological buffer such as phosphate buffered saline (PBS) at physiological pH, Eagles balanced salt solution (BSS) at physiological pH, PBS or BSS comprising serum or conditioned media comprising PBS or BSS and serum incubated at 37° C. Said conditions may be modulated as deemed necessary by one of skill in the art. Subsequent to contacting the cells with the agent, said cells will be disrupted and the polypeptides of the lysate are fractionated such that a polypeptide fraction is pooled and contacted with an antibody to be further processed by immunological assay (e.g., ELISA, immunoprecipitation or Western blot). The pool of proteins isolated from the “agent-contacted” sample will be compared with a control sample where only the excipient is contacted with the cells and an increase or decrease in the immunologically generated signal from the “agent-contacted” sample compared to the control will be used to distinguish the effectiveness of the agent.
Another embodiment of the present invention provides methods for identifying agents that modulate the levels, concentration or at least one activity of a protein(s) encoded by the genes in Tables 4-6. Such methods or assays may utilize any means of monitoring or detecting the desired activity.
In one format, the relative amounts of a protein of the invention between a cell population that has been exposed to the agent to be tested compared to an unexposed control cell population may be assayed. In this format, probes such as specific antibodies are used to monitor the differential expression of the protein in the different cell populations. Cell lines or populations are exposed to the agent to be tested under appropriate conditions and time. Cellular lysates may be prepared from the exposed cell line or population and a control, unexposed cell line or population. The cellular lysates are then analyzed with the probe, such as a specific antibody.
Agents that are assayed in the above methods can be randomly selected or rationally selected or designed. As used herein, an agent is said to be randomly selected when the agent is chosen randomly without considering the specific sequences involved in the association of the a protein of the invention alone or with its associated substrates, binding partners, etc. An example of randomly selected agents is the use a chemical library or a peptide combinatorial library, or a growth broth of an organism.
As used herein, an agent is said to be rationally selected or designed when the agent is chosen on a nonrandom basis which takes into account the sequence of the target site and/or its conformation in connection with the agents action. Agents can be rationally selected or rationally designed by utilizing the peptide sequences that make up these sites.
For example, a rationally selected peptide agent can be a peptide whose amino acid sequence is identical to or a derivative of any functional consensus site.
The agents of the present invention can be, as examples, peptides, small molecules, vitamin derivatives, as well as carbohydrates. Dominant negative proteins, DNA encoding these proteins, antibodies to these proteins, peptide fragments of these proteins or mimics of these proteins may be introduced into cells to affect function. “Mimic” as used herein refers to the modification of a region or several regions of a peptide molecule to provide a structure chemically different from the parent peptide but topographically and functionally similar to the parent peptide (see Grant, (1995) in Molecular Biology and Biotechnology Meyers (editor) VCH Publishers). A skilled artisan can readily recognize that there is no limit as to the structural nature of the agents of the present invention.
Without further description, it is believed that one of ordinary skill in the art can, using the preceding description and the following illustrative examples, make and utilize the compounds of the present invention and practice the claimed methods. The following working examples therefore, specifically point out the preferred embodiments of the present invention, and are not to be construed as limiting in any way the remainder of the disclosure.
EXAMPLES
Methods
Subjects and Biological Samples
Postmortem brain tissue was obtained from 21 brain areas in two groups of Caucasian subjects diagnosed with neuropathologically confirmed PD (n=22) or aged individuals with no history or pathological diagnosis of neurologic or psychiatric disease (n=23). All subjects consented during life to donate their brain after death to the University of Miami/NPF Brain Endowment Bank (UM/BEB). All subjects completed either a disease (PD and other movement disorders) or aged control registry form (normal, aged donors) providing information about demographics, clinical diagnosis, medications, environmental and drug and alcohol exposures, personal and family history, and activities of daily living. Yearly updates on all brain donors were obtained until death. Medical and hospital records were collected on an annual basis and all pertinent information was entered into a database. The clinical and pathological diagnosis of PD was based on the UK PD Society Brain Bank diagnostic criteria (9) and the severity of PD at death was assessed using the Hoehn and Yahr (HY) scale (10). All clinical records were reviewed by a movement disorders specialist (S.P.) to ensure that subjects met diagnostic criteria.
An agonal-state questionnaire (25 items) provided information about the events 48 h prior to death (time, date, place and cause of death, treating physician, mean 48 h axillary temperature, presence and type of infection, co-morbidities, medication, presence of feeding tube, catheters, IV lines, PEG, oxygen, state of feeding and activity and DNR status). This information was completed by the treating physician or nurse immediately after death and was used for exclusion of patients with prolonged agonal states or death related events that are known to influence RNA quality (i.e. prolonged hypoxia or intubation). Although death certificates on all patients were available, they were not used as a source of information since they can introduce significant bias in PD (11). Since agonal state may affect the RNA expression profile of postmortem brain tissue, care was taken to match subject groups as closely as possible for age, gender, PMI, and brain pH.
Regional samples of postmortem brain were taken from frozen coronal blocks based on surface landmarks and cytoarchitectural landmarks. The regional analysis included 21 different brain regions (substantia nigra, ventral tegmental area, cingulate cortex (BA35), insular cortex, amygdala, nucleus basalis, caudate, putamen, nucleus accumbens, globus pallidus, mediodorsal thalamus, pulvinar, subthalamic nucleus, nucleus ambiguous, cerebellar hemisphere, anterior cerebellar vermis, dorsal raphe, locus ceruleus, hypothalamus, hippocampus and reticular formation).
Microarray Experiments
Total RNA isolation and biotin-labeled cRNA synthesis were performed by Gene Logic Inc. (Gaithersburg, Md.) using a TriZol method and RNEasy columns, according to Affymetrix (Santa Clara, Calif.) specifications from 50 mg of each regional sample. Extractions of RNA used in the present study had a minimum A260/A280 ratio of more than 1.9. The samples were further checked for evidence of degradation and integrity. Samples had a minimum 28S/18S ratio of more than 1.6 (2100 Bioanalyzer; Agilent Technologies, Palo Alto, Calif.). We used the Human Genome U133 Plus 2.0 GeneChip array with 54,000 probe sets representing more than 47,000 transcripts derived from approximately 38,500 well-substantiated human genes (Affymtrix). GeneChip analysis was performed with Microarray Analysis Suite version 5.0, Data Mining Tool 2.0, and Microarray database software (Affymetrix). The genes represented on the GeneChip were globally normalized and scaled to a signal intensity of 100.
The different measures of microarray RNA integrity are shown for the substantia nigra in Table 1. The same values were compared in all 21 regions to filter samples for quality control to meet criteria for inclusion in the final analysis. Microarray quality control parameters included the following: noise (RawQ), consistent number of genes detected as present across arrays, consistent scale factors, and consistent β-actin and glyceraldehyde-3-phosphate dehydrogenase 5′/3′ signal ratios.
Data Analysis
We performed a gene expression survey for each of the 21 individual regions comparing end-stage PD patients and normal aged individuals. From a total of 945 samples obtained from the 21 brain regions from PD brain donors (n=22) and normal aged controls (n=23), a total of 499 (52.8%) passed the microarray brain quality control were used in the final expression data analysis. The total number of samples per region per subject is presented as a tilling chart and is shown in FIG. 1. We selected genes for analysis on the basis of “present calls” by Microarray Analysis Suite 5.0. In the present study, for a gene to be included, it had to be present (detectable) in at least 75% of the subjects to reduce the chances of false-positive findings. Expression data were analyzed using Genesis (GeneLogic, Gaithersburg, Md.) and AVADIS software (Strand Genomics, Redwood City, Calif.). Gene expression values were floored to 1 and then log2-transformed. One-way analysis of variance was performed for each gene to identify statistically significant gene expression changes. Two criteria were used to determine whether a gene was differentially expressed. The cutoffs for inclusion were a 1-way analysis of variance p value ≦0.01 and a fold-change (FC) of ±1.3.
Target Validation
Cases included in the microarray analysis were used for the quantitative real-time polymerase chain reaction (RT-PCR) for selected target validation. For validation of the top candidate gene, we blindly selected two regions (caudate and insula) for RT-PCR experiments. Three housekeeping genes (beta actin, GAPDH and cyclophilin) were used to generate a normalization factor for quantitative comparisons across groups (PD n=22 and aged controls n=23).
Total RNA was isolated using the TriZol reagent (Invitrogen, Carlsbad, Calif.) according to the manufacturer's instructions. The concentration of RNA was determined by spectrophotometry, using GeneQuant II (Amersham Biosciences, Uppsala, Sweden). Reverse transcription was performed with SuperScriptTM First-Strand Synthesis System (Invitrogen). Real-time PCR reactions were run in 96-well PCR plates using an ABI Prism 7300 sequence detection system (Applied Biosystems, Foster City, Calif.). Each 50 μl reaction contained cDNA template generated from RNA, 900 nM of gene specific primers for MRPS6 (5′-ATGGGATCTCTGCCC CAGTCA-3′, [SEQ ID NO:29] and 5′-CAAGTGCTCACCATGCTTT-3′ [SEQ ID NO:30]), 250 nM probe (5′-FAM TTTTTATGCACCCACCGCAGC-3′ [SEQ ID NO:31]) and Taqman Universal PCR Master Mix (Applied Biosystems) containing Hot Goldstar DNA Polymerase, dNTPs, uracil-N-glycosylase, and passive reference. PCR cycle was run at 50° C. for 2 min, 95° C. for 10 min, 40 cycles of 95° C. for 15 sec, and 60° C. for 1 min. At the end of PCR cycling steps, data were collected by the Sequence Detector Software (SDS version 2.1, Applied Biosystems). All measurements were performed in triplicates and the gene expression levels calculated as an average of triplicates. To normalize the intersample variation associated with RNA preparation, 3 housekeeping genes (cyclophilin, β-actin and glyceraldehyde-3-phosphate dehydrogenase) were quantified for all samples to obtain the normalization factor using a Visual Basic Application (VBA) for MS Excel termed geNorm as described in (12).
Additional Target Validation
Real-time RT-PCR was performed for MRPS6, CHORDC1, PRKCAB, and SLC38A2 using brain tissue from the substantia nigra and amygdale of 15 Parkinson's Disease human post-mortem brains. The gene expression of these genes from the PD patients was compared to that of eight control subjects. This additional target validation was conducted in a different cohort of PD cases than those described above.
Total RNA was isolated using the TriZol reagent (Invitrogen, Carlsbad, Calif.) according to the manufacturer's instructions. The concentration of RNA was determined by spectrophotometry, using Nanodrop-1000 (Nanodrop Technologies, Wilmington, D.C.). Reverse transcription was performed with a High-Capacity cDNA Reverse Transcription kit using random primers from Applied Biosystems (Foster City, Calif.). Gene expression levels were measured in each sample by real-time PCR using the ABI 7900HT Thermocycler. Expression levels were normalized with respect to an internal reference 18S rRNA. All samples were run in triplicate. cDNA was amplified with the Taqman Universal PCR master mix reagent (Applied Biosystems, Foster City, Calif.) using the following cycling parameters: 2 minutes at 50° C., 10 minutes at 95° C., 40 cycles: 15 seconds at 95° C. and 1 minute at 60° C. The target cDNA from MRPS6, CHORDC1, PRKCAB, and SLC38A2 was amplified using ABI MGB probe and primer set assay IDs Hs00606808_m1, Hs00854389_g1, and Hs00255854_m1, respectively and normalized with respect to the 18S rRNA control (ABI MGB probe and primer set assay ID Hs99999901_s1). Data was analyzed using software RQ manager 1.2 from Applied Biosystems (Foster City, Calif.).
Gene Expression in Blood
Real-time RT-PCR was also performed to measure the expression of MRPS6 and SLC5A3 in blood samples from three Parkinson's Disease patients and three control subjects. The expression of MRPS6 and SLC5A3 was normalized with respect to four known housekeeping genes, 18S rRNA, B2M, ACTB, and HPRT1. However, only HPRT1 was not disregulated in PD blood, and therefore, it was used as the standard housekeeping gene. Gene expression for CHORDC1, PRKACB, and SLC38A2 in blood were also measured.
Results
The RNA quality parameters for all subjects are shown in Table 1 for two blindly selected regions (insula and caudate—also used for RT-PCR validation) and the substantia nigra. Analysis of the quality control parameters showed no significant differences in age, brain pH, post mortem interval or RNA QC values between aged control and PD groups. Table 2 lists the demographic information, age at death, cause of death, PMI and brain pH values for PD and control subjects. These results demonstrate the subjects were well matched on these variables, including the number of individuals with sudden versus prolonged terminal cause of death. The clinical characteristics of the PD subjects included in the gene expression survey are summarized in Table 3. All PD subjects had advanced disease with H&R stage of 4.5±0.7. Consistent with previous reports, RNA quality control parameters showed no effect of PMI even in a brain region that is one of the most severely affected with advanced disease (FIG. 2).
To reduce the number of comparisons and the chances of false positives, we conducted a multiregional survey to identify and cluster select genes that were significantly expressed across the different comparison regions. A frequency pyramid indicating the number of target brain regions in which these candidate genes were significantly expressed is shown in FIG. 3. A list of these top candidate genes associated with PD is presented (Table 4), together with biological function and chromosomal location (Table 5). In Table 6 lists these and other genes that are differentially expressed in PD, along with the GeneBank ID. The nucleotide sequences of these genes, which are in the public domain, are hereby incorporated by reference. Topping the list was MRPS6, a nuclear encoded mitochondrial ribosomal protein, that was significantly upregulated with a 2.1 mean fold change for 20 out of 21 regions (p≦0.001). The only brain region in which the MRPS6 was not differentially expressed was the hippocampus.
Gene Ontology analysis of the top candidate genes identified in the multiregional analysis suggests involvement of genes having to do with response to stress in end-stage disease, including STIP1 and CIRBP (Tables 4 and 5). Another gene of interest was the solute carrier family member 2 (SLC38A2), which functions to transport glutamine. This gene product was upregulated 1.7 fold in PD compared to control subjects. We observed in 18 of the 21 PD brain regions surveyed, a marked  ̃2 fold decrease for the cAMP dependent protein kinase, beta catalytic subunit (PRKACB). The gene has been implicated in a number of different cellular processes, including cell growth and death and long-term potentiation in the CNS.
The expression levels of MRPS6 was confirmed by quantitative RT-PCR analyses in 2 selected regions (caudate nucleus and insula). The validation results are presented in FIG. 4. We used three control genes (GAPDH, beta actin and cyclophilin) to normalize expression data for MRPS6. The correlation between the microarray and RT-PCR data using the three controls genes for RT-PCR were consistent for this gene product (data not shown). Analysis of the MRPS6 gene in PD patients compared to normal aged controls was of the same order of magnitude as seen from the microarray experiments. The fold-change values determined from microarray (caudate FC=2.7±0.1 and insula FC=2.7±0.1) were in good agreement with expression levels determined by RT-PCR (caudate FC=2.6±0.3 and insula FC=2.4±0.3) methods. These results demonstrate that the differential expression of MRPS6 was confirmed by both methods on independent samples from the same individuals.
Additional target validation was performed using real-time RT-PCR to measure the gene expression of MRPS6, CHORDC1, PRKACB, and SLC38A2 in the substantia nigra and amygdala from a different cohort of PD cases. Significantly higher levels of expression for MRPS6, CHORDC1, and SLC38A2 were observed in the substantia nigra and amygdala of the PD post-mortem brain (FIG. 5). In contrast, the levels of expression for PRKACB were significantly lower in the substantia nigra and amygdala of the PD post-mortem brain. These results are identical to those derived from gene expression studies from the other cohort run on the Affymetrix U133 Plus 2 gene chip.
Gene expression was also measured in blood. As indicated in FIGS. 6 and 7, the expression of MRPS6 and SLC5A3 was significantly higher in blood samples from PD patients in comparison to control subjects. These results demonstrate that a correlation exists between the expression of genes in brain tissue and blood samples from patients with Parkinson's Disease, and indicate that blood testing can be used to detect genes associated with Parkinson's Disease.
Discussion
Gene expression profiling is done usually on a few select brain regions, providing a measurement of transcript numbers at a particular point in the sequence of a continuing process. The expression levels of specific gene transcripts in postmortem brain tissues may be either ‘state’ or ‘trait’ dependent, reflecting a complex interplay of disease relevant changes in cellular processes, structure and function. This report provides the first extensive multiregional gene expression profiling survey in PD, to identify common transcripts that are regulated reproducibly throughout a large number of the total number of brain regions surveyed.
Using this unbiased approach, we have identified MRPS6 as a top candidate gene associated with PD. MRPS6 was significantly upregulated in 20 out of 21 regions studied approximately three-fold that of normal aged controls. The original MRPS6 frag, 212944_at, is now called SLC5A3 (the solute carrier family 5 member 3 gene). SLC5A3 corresponds to Fragment IDs. 212944_at and 1553313_s_at. The expression levels of MRPS6, represented by Fragment IDs 213164_at and 224919_at, in PD were confirmed by quantitative RT-PCR. A total of 3 other high probability genes were differentially expressed in addition to the MRPS6, including the histone 1 (H1ST1H2BD), RNA binding motif protein 3 (RBM3), and solute carrier family 38, member 2 (SLC38A2), a sodium-coupled glutamine transporter (13) in 20 out of 21 regions surveyed. Other genes of interest that were regulated throughout most of the brain regions surveyed were the cysteine and histidine-rich containing zinc binding protein 1 (CHORDC1), the cold inducible RNA binding protein (CIRBP), a heat shock protein 90-interacting protein (14), cAMP dependent protein kinase, beta catalytic subunit PRKACB (PKBACB), and a stress-induced phosphoprotein (STIP1).
Mitochondrial dysfunction caused either by genetic defects (i.e. PINK1 and DJ1 mutations) and/or environmental factors (MPTP, rotenone or paraquat toxicity) causes parkinsonism in vivo in mice and primate models (1, 15). PD is a multisystem disorder that affects autonomic, limbic and somatomotor systems with advanced disease staging. Our finding of increased expression of MRPS6 in PD patients may be associated with a disorder of energy metabolism with development of PD-related pathology.
Nuclear MRP genes are associated with mitochondrial disease (20, 21). It is estimated that there are about 100 different human mitochondrial ribosomal proteins (16) all of which are encoded by nuclear genes (17). They are essential building blocks for the 55S mammalian mitochondrial ribosome, which translates mitochondrial mRNAs for the 13 essential components of the OXPHOS (17). The mammalian mitoribosome differs significantly from the ancestral 70S ribosome (18) in that it has lost it has lost nearly half the RNA present in bacterial mitoribosomes and gained “extra” proteins (MRPs) (19), which can have additional properties (multifunctional) and have been implicated, among others, in apoptosis and cellular degeneration (20).
Since mitochondrial ribosomes are responsible for translating the 13 mRNAs for essential proteins of the OXPHOS, mutations in these proteins have significant consequences. Several of the MRP genes map to chromosomal loci associated with neurological/neurodegenerative diseases (17). These range from mild, late-onset disorders, such as age-related sensorineural hearing impairment or ocular myopathy (PEO), to devastating and usually fatal infantile disorders, such as Leigh syndrome (also known as fatal necrotizing encephalopathy) (21). MRPs have been linked also to diseases affecting specific neuronal populations including non-syndromic hearing loss (22), spinocerebellar ataxia with blindness and deafness (6p23-p21) (17), Usher Syndrome, type 1E (21q21) (23), Leigh Syndrome (9q34, 11q13, 19p13.3, and 5q11) (24), Russell-Silver Syndrome (7p11.2, 17q23-q24) (25), the Stuve-Wiedemann Syndrome (1p34) (26) and the multiple mitochondrial dysfunctions syndrome (2p14-p13) (27).
Mitochondrial dysfunction plays a key role in many signaling pathways leading to cell death (28, 29). The precise mechanisms underlying the role of mitochondria in apoptosis (30) and the number of proteins involved remain unclear (31). Recently, MRPS29 shares sequence homology with death-associated protein 3 (DAP3) (32-35). DAP3 is a GTP binding protein that mediates interferon-, tumor necrosis factor- and FAS-induced cell death (20). When over-expressed, it causes apoptosis in a number of different types of mammalian cells (33, 34). Although its precise role in the induction of cell death is not known, it functions downstream of the death-inducing signaling complex, but upstream of the some members of the caspase family (33, 34). A second pro-apoptotic protein of unknown function is programmed cell death protein 9 (PDCD9 or p52) (designated MRP-S30) (20). Yoo et al. (36), demonstrated that the mitoribosomal protein MRPL41 enhances p53 stability and contributes to p53-induced apoptosis in response to growth-inhibitory conditions. The tumor suppressor p53 is a key regulator of both the cell cycle and cell proliferation (36). The p53 protein is a potent transcription factor, which activates target genes, and triggers growth arrest, DNA repair, or apoptosis in response to cellular genotoxic stresses (37, 38). MRPL41 protein enhances the translocation of p53 to the mitochondria, thereby inducing apoptosis. While the function of MRPS6 is at present unknown, the link to pro-apoptotic mechanisms demonstrated for other members of the mitoribosomal family makes this protein a potentially relevant gene target for PD pathophysiology.
The expression of the β catalytic subunit of cAMP-dependent protein kinase (PRKACB) gene was significantly down-regulated in our multiregional comparisons between PD subjects and normal, aged controls. PRKACB regulates the function of the neurotrophin receptor p75 by phosphorylation (39). Several p75 neurotrophin receptor mediated activities have been proposed, including enhancement of axonal outgrowth (40, 41) and modulating dopaminergic synaptic transmission (42). A recent report suggests metaplasticity of the late-phase of long-term potentiation includes a crictical role for cAMP/protein kinase A signaling (REF). A disruption in this pathway in advanced PD, might suggest a loss of input specific synaptic facilitation and relative imbalance due to loss of protein kinase A activity. Another gene of interest identified in our study is the solute carrier family 38, member 2 (SLC38A2), a sodium-coupled glutamine transporter. SLC28A2 is thought to be involved in the glutamate-glutamine cycle (13). Glutamate released into the extracellular space is cleared by glutamate transporters (expressed in neuronal cells and glial cells), terminating neurotransmission. Glutamate is converted to glutamine by glutamine synthetase (43) and then re-released through glutamine transporters, like SLC38A2) (44) for uptake by glutaminergic neurons as an immediate precursor of glutamate (13). The upregulation of SLC38A2 may link this transporter with a dysregulation of glutaminergic pathways, consistent with the excitotoxic theory of neurodegeneration proposed for PD (45).
Additional findings of our multiregion, gene expression study are consistent with our current understanding of PD. Two of our top candidate genes (FUSIP1 and PRKACB) map near the chromosomal locus (1p36) which has shown significant linkage to PD and harbors three relevant loci: PARK6 (pink1) (46), PARK7 (dj1) (47) and PARK9 (unknown gene) (48). One more, SLC38A2 maps on the same region with PARK8 (LRRK2) (49). Recent evidence (PNAS 103(36)′′13520-13525, 2006) suggests that a reduction in PINK1 function leads to a PD-associated neurodegeneration. Thus a reduction in two of our top genes, FUSIP1 and PRKACB, located on the same chromosomal location as PINK1 (1q36.1 and 0.11) might suggest a similar PD-associated neurodegeneration.
The present invention is not to be limited in scope by the specific embodiments described which are intended as single illustrations of individual aspects of the invention, and functionally equivalent methods and components are within the scope of the invention. Indeed, various modifications of the invention, in addition to those shown and described herein, will become apparent to those skilled in the art from the foregoing description and accompanying drawings using no more than routine experimentation. Such modifications and equivalents are intended to fall within the scope of the appended claims.
All publications, patents and patent applications mentioned in this specification are herein incorporated by reference into the specification to the same extent as if each individual publication, patent or patent application was specifically and individually indicated to be incorporated herein by reference.
Citation or discussion of a reference herein shall not be construed as an admission that such is prior art to the present invention.
REFERENCES
The disclosures of each and every patent, patent application, and publication cited herein including but not limited to the references listed immediately below are hereby incorporated herein by reference in their entirety.

    1. Farrer M J. Genetics of Parkinson disease: paradigm shifts and future prospects. Nat Rev Genet 2006; 7:306-318.
    2. Maraganore D M, de Andrade M, Lesnick T G, et al. High-resolution whole-genome association study of Parkinson disease. Am J Hum Genet 2005; 77:685-693.
    3. Grunblatt E, Mandel S, Jacob-Hirsch J, et al. Gene expression profiling of parkinsonian substantia nigra pars compacta; alterations in ubiquitin-proteasome, heat shock protein, iron and oxidative stress regulated proteins, cell adhesion/cellular matrix and vesicle trafficking genes. J Neural Transm 2004; 111:1543-1573.
    4. Hauser M A, Li Y J, Xu H, et al. Expression profiling of substantia nigra in Parkinson disease, progressive supranuclear palsy, and frontotemporal dementia with parkinsonism. Arch Neurol 2005; 62:917-921.
    5. Mandel S, Grunblatt E, Riederer P, et al. Gene Expression Profiling of Sporadic Parkinson's Disease Substantia Nigra Pars Compacta Reveals Impairment of Ubiquitin-Proteasome Subunits, SKP1A, Aldehyde Dehydrogenase, and Chaperone HSC-70. Ann N Y Acad Sci 2005; 1053:356-375.
    6. Moran L B, Duke D C, Deprez M, Dexter D T, Pearce R K, Graeber M B. Whole genome expression profiling of the medial and lateral substantia nigra in Parkinson's Disease. Neurogenetics 2006; 7:1-11.
    7. Zhang Y, James M, Middleton F A, Davis R L. Transcriptional analysis of multiple brain regions in Parkinson's Disease supports the involvement of specific protein processing, energy metabolism, and signaling pathways, and suggests novel disease mechanisms. Am J Med Genet B Neuropsychiatr Genet 2005; 137:5-16.
    8. Ogden C A, Rich M E, Schork N J, et al. Candidate genes, pathways and mechanisms for bipolar (manic-depressive) and related disorders: an expanded convergent functional genomics approach. Mol Psychiatry 2004; 9:1007-1029.
    9. Hughes A J, Daniel S E, Kilford L, Lees A J. Accuracy of clinical diagnosis of idiopathic Parkinson's Disease: a clinico-pathological study of 100 cases. J Neurol Neurosurg Psychiatry 1992; 55:181-184.
    10. Hoehn M M, Yahr M D. Parkinsonism: onset, progression and mortality. Neurology 1967; 17:427-442.
    11. Papapetropoulos S, Villar J M, Gonzalez J, Mash D C. Disparities in death certificates of Parkinson's Disease patients: A report from a population of brain donors. Mov Disord 2006.
    12. Vandesompele J, De Preter K, Pattyn F, et al. Accurate normalization of real-time quantitative RT-PCR data by geometric averaging of multiple internal control genes. Genome Biol 2002; 3:RESEARCH0034.
    13. Umapathy N S, Li W, Mysona B A, Smith S B, Ganapathy V. Expression and function of glutamine transporters SN1 (SNAT3) and SN2 (SNAT5) in retinal Muller cells. Invest Ophthalmol Vis Sci 2005; 46:3980-3987.
    14. Wu J, Luo S, Jiang H, Li H. Mammalian CHORD-containing protein 1 is a novel heat shock protein 90-interacting protein. FEBS Lett 2005; 579:421-426.
    15. Gandhi S, Wood N W. Molecular pathogenesis of Parkinson's Disease. Hum Mol Genet 2005; 14:2749-2755.
    16. O'Brien T W. Properties of human mitochondrial ribosomes. IUBMB Life 2003; 55:505-513.
    17. O'Brien T W, O'Brien B J, Norman R A. Nuclear MRP genes and mitochondrial disease. Gene 2005; 354:147-151.
    18. Gray M W, Burger G, Lang B F. The origin and early evolution of mitochondria. Genome Biol 2001; 2:REVIEWS 1018.
    19. Schieber G L, O'Brien T W. Extraction of proteins from the large subunit of bovine mitochondrial ribosomes under nondenaturing conditions. J Biol Chem 1982; 257:8781-8787.
    20. Cavdar Koc E, Ranasinghe A, Burkhart W, et al. A new face on apoptosis: death-associated protein 3 and PDCD9 are mitochondrial ribosomal proteins. FEBS Lett 2001; 492:166-170.
    21. Jacobs H T, Turnbull D M. Nuclear genes and mitochondrial translation: a new class of genetic disease. Trends Genet 2005; 21:312-314.
    22. Sylvester J E, Fischel-Ghodsian N, Mougey E B, O'Brien T W. Mitochondrial ribosomal proteins: candidate genes for mitochondrial disease. Genet Med 2004; 6:73-80.
    23. Chaib H, Kaplan J, Gerber S, et al. A newly identified locus for Usher syndrome type I, USH1E, maps to chromosome 21q21. Hum Mol Genet 1997; 6:27-31.
    24. Dahl H H. Getting to the nucleus of mitochondrial disorders: identification of respiratory chain-enzyme genes causing Leigh syndrome. Am J Hum Genet 1998; 63:1594-1597.
    25. Monk D, Bentley L, Hitchins M, et al. Chromosome 7p disruptions in Silver Russell syndrome: delineating an imprinted candidate gene region. Hum Genet 2002; 111:376-387.
    26. Chabrol B, Sigaudy S, Paquis V, et al. Stuve-Wiedemann syndrome and defects of the mitochondrial respiratory chain. Am J Med Genet 1997; 72:222-226.
    27. Seyda A, Newbold R F, Hudson T J, et al. A novel syndrome affecting multiple mitochondrial functions, located by microcell-mediated transfer to chromosome 2p14-2p13. Am J Hum Genet 2001; 68:386-396.
    28. Brenner C, Kroemer G. Apoptosis. Mitochondria—the death signal integrators. Science 2000; 289:1150-1151.
    29. Gottlieb R A. Mitochondria: execution central. FEBS Lett 2000; 482:6-12.
    30. Bernardi P, Scorrano L, Colonna R, Petronilli V, Di Lisa F. Mitochondria and cell death. Mechanistic aspects and methodological issues. Eur J Biochem 1999; 264:687-701.
    31. Crompton M. The mitochondrial permeability transition pore and its role in cell death. Biochem J 1999; 341 (Pt 2):233-249.


32. Carim L, Sumoy L, Nadal M, Estivill X, Escarceller M. Cloning, expression, and mapping of PDCD9, the human homolog of Gallus gallus pro-apoptotic protein p52. Cytogenet Cell Genet 1999; 87:85-88.

    33. Kissil J L, Cohen O, Raveh T, Kimchi A. Structure-function analysis of an evolutionary conserved protein, DAP3, which mediates TNF-alpha- and Fas-induced cell death. Embo J 1999; 18:353-362.
    34. Kissil J L, Deiss L P, Bayewitch M, Raveh T, Khaspekov G, Kimchi A. Isolation of DAP3, a novel mediator of interferon-gamma-induced cell death. J Biol Chem 1995; 270:27932-27936.
    35. Sun L, Liu Y, Fremont M, et al. A novel 52 kDa protein induces apoptosis and concurrently activates c-Jun N-terminal kinase 1 (JNK1) in mouse C3H10T1/2 fibroblasts. Gene 1998; 208:157-166.
    36. Yoo Y A, Kim M J, Park J K, et al. Mitochondrial ribosomal protein L41 suppresses cell growth in association with p53 and p27Kip1. Mol Cell Biol 2005; 25:6603-6616.
    37. Giaccia A J, Kastan M B. The complexity of p53 modulation: emerging patterns from divergent signals. Genes Dev 1998; 12:2973-2983.
    38. Jin A, Itahana K, O'Keefe K, Zhang Y. Inhibition of HDM2 and activation of p53 by ribosomal protein L23. Mol Cell Biol 2004; 24:7669-7680.
    39. Higuchi H, Yamashita T, Yoshikawa H, Tohyama M. PKA phosphorylates the p75 receptor and regulates its localization to lipid rafts. Embo J 2003; 22:1790-1800.
    40. Bentley C A, Lee K F. p75 is important for axon growth and schwann cell migration during development. J Neurosci 2000; 20:7706-7715.
    41. Brann A B, Scott R, Neuberger Y, et al. Ceramide signaling downstream of the p75 neurotrophin receptor mediates the effects of nerve growth factor on outgrowth of cultured hippocampal neurons. J Neurosci 1999; 19:8199-8206.
    42. Blochl A, Sirrenberg C. Neurotrophins stimulate the release of dopamine from rat mesencephalic neurons via Trk and p75Lntr receptors. J Biol Chem 1996; 271:21100-21107.
    43. Riepe R E, Norenberg M D. Glutamine synthetase in the developing rat retina: an immunohistochemical study. Exp Eye Res 1978; 27:435-444.
    44. Mackenzie B, Erickson J D. Sodium-coupled neutral amino acid (System N/A) transporters of the SLC38 gene family. Pflugers Arch 2004; 447:784-795.
    45. Vernon A C, Palmer S, Datla K P, Zbarsky V, Croucher M J, Dexter D T. Neuroprotective effects of metabotropic glutamate receptor ligands in a 6-hydroxydopamine rodent model of Parkinson's Disease. Eur J Neurosci 2005; 22:1799-1806.
    46. Valente E M, Abou-Sleiman P M, Caputo V, et al. Hereditary early-onset Parkinson's Disease caused by mutations in PINK1. Science 2004; 304:1158-1160.
    47. Bonifati V, Rizzu P, van Baren M J, et al. Mutations in the DJ-1 gene associated with autosomal recessive early-onset parkinsonism. Science 2003; 299:256-259.
    48. Williams D R, Hadeed A, al-Din A S, Wreikat A L, Lees A J. Kufor Rakeb disease: autosomal recessive, levodopa-responsive parkinsonism with pyramidal degeneration, supranuclear gaze palsy, and dementia. Mov Disord 2005; 20:1264-1271.
    49. Zimprich A, Biskup S, Leitner P, et al. Mutations in LRRK2 cause autosomal-dominant parkinsonism with pleomorphic pathology. Neuron 2004; 44:601-607.









TABLE 1





Quality Control Parameters for Brain Sample Microarrays
























β-Actin
GapDH




SN
Number
Age (yr)
Ratio
Ratio
RNA QC
Present Calls





CTRL
11
77.9 ± 13.09
0.33 ± 0.11
0.60 ± 0.14
0.46 ± 0.11
  24296 ± 753.24


PD
16
75.1 ± 7.81
0.28 ± 0.09
0.58 ± 0.11
0.42 ± 0.09
  24982 ± 837.18







Insula













CTRL
11
73.3 ± 4.02
0.35 ± 0.04
0.62 ± 0.04
0.48 ± 0.04
25633.9 ± 360.5


PD
12
72.2 ± 3.13
0.35 ± 0.03
0.66 ± 0.04
0.50 ± 0.03
24892.5 ± 582.5







Caudate













CTRL
14
  60 ± 7.02
0.302 ± 0.04 
0.625 ± −0.05
0.464 ± 0.04 
24154.28 ± 546.5 


PD
10
  73 ± 3.07
0.31 ± 0.02
0.625 ± 0.047
0.45 ± 0.04
26259.44 ± 337.2 

















%

Scale




SN
Present
RAWQ
Factor
PMI







CTRL
44.4 ± 7.8
1.53 ± 0.08
2.00 ± 0.24
8.2 ± 2.1



PD
 45.5 ± 1.50
1.60 ± 0.23
1.85 ± 0.26
7.4 ± 1.6







Insula













CTRL
46.8 ± 6.8
1.74 ± 0.05
1.45 ± 0.07
9.3 ± 2.0



PD
45.6 ± 1.2
1.53 ± 0.14
2.03 ± 0.29
7.5 ± 1.8







Caudate













CTRL
51.14 ± 7.2 
1.63 ± 0.06
1.78 ± 0.18
10.2 ± 2.00



PD
48.10 ± 6.6 
1.61 ± 0.06
1.61 ± 0.13
6.9 ± 1.8







*Samples were obtained from the 2 blindly selected sample regions and the substantia nigra. RNA quality control parameters (including β-actin and GAPDH signal ratios) were consistent across chips. Values were derived from results of Microarray Analysis Suite version 5.0 analysis (available at: http://www.affymetrix.com).













TABLE 2







Demographic details, cause of death and RNA quality-determining parameters














Age at





Code
Gender
death
Cause of Death
PMI
Ph















C1
M
74
Lung Cancer
4
6.52


C2
F
90
Congestive Heart Failure
5
6.08


C3
F
90
Respiratory Failure
5
6.12


C4
F
83
Chronic renal failure
13
6.52


C5
F
85
Metastatic cancer of lung
3
6.04


C6
M
46
Myocardial infarction
7
6.5


C7
F
85
Obstructive Pulmonary Disease
15
6.53


C8
F
82
Malignant Melanoma
5
6.92


C9
F
84
Cardiorespiratory Arrest
4
6.01


C10
F
90
Heart and Respiratory Failure
3
6


C11
M
88
Multiple organ failure
3
6.03


C12
F
84
Cerebrovascular Accident
9
5.96


C13
M
85
Myelodisplastic syndrome
11
6.06


C14
M
80
Myelodisplastic syndrome
12
6.08


C15
F
85
Respiratory failure
4
6.3


C16
F
83
Cardiopulmonary arrest
4
6.16


C17
F
88
Ischemic Heart Disease
11
5.93


C18
M
65
IHD
9
6.64


C19
M
70
Cardiac arrest
9
6.18


C20
M
65
Ischemic Heart Disease
6
6.49


C21
M
65
Heart Disease
10
6.45


C22
M
65
Cardiac arrest
12
6.78


C23
M
68
Cardiac arrest
16
6


Total 23
11M/13F
78.2 ± 11.4
Sudden death 10/Prolonged 13
7.8 ± 4.1
6.3 ± 0.3


PD1
F
65
Cardiopulmonary failure
4
6.28


PD2
M
75
Infectious disease/IHD
15
6.36


PD3
M
77
PD
4
6.38


PD4
M
71
IHD
6
6.00


PD5
M
74
PD/IHD
4
6.41


PD6
M
63
Cardiopulmonary failure/PD
5
6.42


PD7
M
88
Aspiration/PD
20
6.48


PD8
M
66
PD
5
6.42


PD9
F
86
Cardiopulmonary failure
5
6.59


PD10
M
78
PD
5
6.16


PD11
M
71
Intestinal Bleeding
12
6.05


PD12
F
60
Stroke
4
6.29


PD13
F
66
Respiratory failure
10
6.51


PD14
M
83
PD
2
5.96


PD15
M
74
PD
8
6.42


PD16
M
72
Pneumonia
6
5.88


PD17
M
69
PD/Cancer
3
6.00


PD18
M
82
Cardiopulmonary failure
4
5.79


PD19
M
73
Coronary Artery Disease
11
5.92


PD20
M
76
Pneumonia/PD
5
5.97


PD21
M
81
Coronary Artery Disease
5
6.02


PD22
F
78
Coronary Artery Disease/PD
6
6.39


Total 22
17M/5F
74 ± 7.4
Sudden death 11/Prolonged 12
6.8 ± 4.8
6.2 ± 0.2
















TABLE 3







Clinical characteristics of Parkinson's Disease subjects


















Age at
Disease

Onset



Autonomic


Code
Gender
Onset
Duration
H&Y
Symptom
Dementia
Depression
Dyskinesia
Dysfunction



















PD1
F
50
15
4
Tremor
No
No
Yes
No


PD2
M
67
8
5
Gait
No
No
No
No


PD3
M
64
13
5
Gait
No
No
Yes
No


PD4
M
51
20
5
Slowness
No
No
Yes
No


PD5
M
53
21
5
Tremor
No
No
Yes
Syncope


PD6
M
53
10
5
Tremor
No
Yes
No
No


PD7
M
77
11
4
Tremor
No
No
No
No


PD8
M
55
11
5
Tremor
No
No
Yes
No


PD9
F
77
9
5
Tremor
No
Yes
No
No


PD10
M
56
22
5
Gait
Yes
Yes
Yes
No


PD11
M
44
27
5
Tremor
No
No
Yes
No


PD12
F
40
20
3
Stiffness
No
No
Yes
Incontinence


PD13
F
56
10
5
Tremor
Yes
Yes
No
No


PD14
M
80
3
4
Tremor
No
Yes
No
Hypotension


PD15
M
64
10
4
Stiffness
Yes
Yes
Yes
Constipation


PD16
M
46
26
4
Stiffness
Yes
Yes
Yes
Hypotension


PD17
M
59
10
5
Tremor
No
No
Yes
No


PD18
M
74
8
3
Depression
No
Yes
No
No


PD19
M
70
3
3
Gait
Yes
Yes
No
Incontinence


PD20
M
72
4
5
Gait
Yes
No
No
Incontinence


PD21
M
68
13
5
Tremor
Yes
No
Yes
Incontinence


PD22
F
68
10
5
Gait
Yes
No
Yes
No



17M/5F
61.1 ± 11.5
12.9 ± 6.9
4.5 ± 0.7





Abbreviations:


F = female,


M = male,


H&Y = Hoehn and Yahr clinical stage of Parkinson's Disease (1 = mild unilateral disease-5 = severe end-stage disease)













TABLE 4







Genes significantly regulated in ≧18 out of 21 regions.















Affymetrix








Gene
gene fragment

No of
Regions not
Mean

SEQ


Symbol
ID1
Gene Name
Regions
present
FC
Mean P
IDs

















MRPS62
212944_at
Mitochondrial ribosomal protein
20
HIPP
2.1
.001
1-5


(SLC5A3)

S6


HIST1H2BD
235456_at
Histone 1, H2bd
20
Pt
2.0
.012
6-7


RBM3
208319_s_at
RNA binding motif (RNP1, RRM)
20
LC
−1.4
.006
 8




protein 3


SLC38A23
222982_x_at
Solute carrier family 38, member 2
20
HIPP
1.6
.006
 9-10


MRPS62
213164_at
Mitochondrial ribosomal protein
19
HIPP, Hyp
2.3
.003
1-5




S6


CHORDC1
218566_s_at
Cysteine/histidine-rich domain
19
HIPP, Pulv
1.9
.007
11




(CHORD)-containing, zinc binding




protein 1


CIRBP
200810_s_at
Cold inducible RNA binding
19
HIPP, Pulv
−2.2
.007
12-14




protein


SLC38A23
220924_s_at
Solute carrier family 38, member 2
19
Hyp, Pulv
1.7
.014
 9-10


FLJ33814

Hypothetical protein FLJ33814
18
AMG, Cere-
1.5
.006
15


FUSIP1
225348_at
FUS interacting protein
18
HIPP, LC,
1.6
.012
16-19




(serine/arginine-rich) 1

VTA


PRKACB4
225644_at
Protein kinase, cAMP-dependent,
18
HIPP, NB,
−1.9
.007
20-21




catalytic, beta

Th


STIP1
213330_s_at
Stress-induced-phosphoprotein 1
18
AMG, Pulv,
1.8
.015
22




(Hsp70/Hsp90-organizing protein)

Th


SUV420H1
222759_at
Suppressor of variegation 4-20
18
NB, Pulv,
−1.6
.012
23-28




homolog 1

Th





1Annotated by Affymetrix.


2Two out of 3 fragments representing the MRPS6 gene were included in the top candidate genes list. Original Frag. 212944_at in now called SLC5A3 (the solute carrier family 5 member 3 gene)


3Two out of 3 fragments representing the MRPS6 gene were included in the top candidate genes list


Abbreviations:


HIPP = hippocampus


Pt = putamen


LC = locus ceruleus,


Hyp = hypothalamus,


Pulv = Pulvinar,


AMG = amygdala,


Cere = cerebellar hemisphere,


VTA = ventral tegmental area,


NB = nucleus basalis,


Th = thalamus


4Additional Affymetrix frags. include 235780_at, 202742_s_at, and 202741_at













TABLE 5







Summary of biological plausibility of top candidate genes


GENE ONTOLOGY1











Gene






Symbol
Biological function
Process
Component
Location





MRPS6
structural constituent of ribosome
protein biosynthesis
Mitochondrial small
21q21.3-q22.1





ribosomal subunit


HIST1H2BD
DNA binding
chromosome organization and
Nucelus, chromosome,
6p21.3




biogenesis, nucleosome assembly
nucleosome


RBM3
RNA processing
RNA, nucleotide, nucleic acid binding
N/A
Xp11.2


SLC38A2
a sodium-coupled neutral amino acid
glutamate-glutamine cycle/glutamine
N/A
12q



transporter (16)2
transporter (13)


CHORDC1
heat shock protein 90-interacting
N/A
N/A
11q14.3



protein (17)2


CIRBP
RNA, nucleotide and nucleic acid
Response to cold
Nucleus
19p13.3



binding


FLJ33814
N/A
N/A
N/A
22q12.1


FUSIP1
RNA splicing factor activity,
assembly of spliceosomal tri-snRNP,
Cytoplasm,
1p36.11



transesterification mechanism, RS
cytoplasmic transport, mRNA export
nucleoplasm, nucleus



domain binding, unfolded protein
from nucleus, mRNA splice site



binding
selection, nuclear mRNA splicing, via




spliceosome, regulation of transcription


PRKACB
ATP binding, cAMP-dependent
G-protein signaling, coupled to cAMP
cAMP-dependent
1p36.1



protein kinase activity, magnesium
nucleotide second messenger, protein
protein kinase



ion binding, nucleotide binding,
amino acid phosphorylation, signal
complex, nucleus



protein serine/threonine kinase
transduction



activity, transferase activity


STIP1
binding
response to stress
Golgi apparatus,
11q13





nucleus


SUV420H1*
Histone lysine N-methyltransferase
histone methylation
condensed nuclear
11q13.2



activity (H4-K20 specific

chromosome,





pericentric region





1Annotated from Entrez Gene (ncbi.nlm.nih.gov)


2Proposed biological function (see reference)


*Drosophila analogue


N/A = Not assigned

















TABLE 6









Genebank


CHIP (Plus 2)
Affy Frag ID
Gene Symbol
Gene Name
ID
























232923(51)
202259_s_at
(CG012, CG030,
Hypothetical gene CG012
U50530
U50531








LOC88523, PFAAP5)


244644(51)
214130_s_at
(FLJ21272, PDE4DIP)
(FLJ39739 protein, Phosphodiesterase 4D
AK024925
NM_001002810





interacting protein (myomegalin), Similar to





KIAA0454 protein)


244643(51)
214129_at
(FLJ21272, PDE4DIP)
(FLJ39739 protein, Phosphodiesterase 4D
AK024925
NM_001002810





interacting protein (myomegalin), Similar to





KIAA0454 protein)


257791(51)
227321_at
(GATS, MGC2463,
(Opposite strand transcription unit to STAG3,
BC100779
BC090867
AK092358




STAG3)
Stromal antigen 3)


240532(51)
209911_x_at
(HIST1H2BD,
(Histone 1, H2bd, Histone 1, H2bl, Histone 1, H2bn)
BC096122
BC002842




HIST1H2BL,




HIST1H2BN)


231464(51)
200800_s_at
(HSPA1A, HSPA1B)
(Heat shock 70 kDa protein 1A, Heat shock 70 kDa
BC009322
BC018740
BC002453
BC057397
BC063507





protein 1B, Protein tyrosine phosphatase, non-





receptor type substrate 1-like 3)


231463(51)
200799_at
(HSPA1A, HSPA1B)
(Heat shock 70 kDa protein 1A, Heat shock 70 kDa
BC009322
BC018740
BC002453
BC057397
BC063507





protein 1B, Protein tyrosine phosphatase, non-





receptor type substrate 1-like 3)


367020(51)
1552327_at
ARMCX4
Armadillo repeat containing, X-linked 4
BC032236


235270(51)
204608_at
ASL
Argininosuccinate lyase
BC033146
BC008195


237248(51)
206587_at
CCT6B
Chaperonin containing TCP1, subunit 6B (zeta 2)
NM_006584


233914(51)
203252_at
CDK2AP2
CDK2-associated protein 2
BC002850
BC016704


249066(51)
218566_s_at
CHORDC1
Cysteine and histidine-rich domain (CHORD)-
BC017789





containing, zinc binding protein 1


255663(51)
225191_at
CIRBP
Cold inducible RNA binding protein
BC000403
BC000901
NM_001280


231474(51)
200810_s_at
CIRBP
Cold inducible RNA binding protein
BC000403
BC000901
NM_001280


231475(51)
200811_at
CIRBP
Cold inducible RNA binding protein
BC000403
BC000901
NM_001280


258526(51)
228057_at
DDIT4L
DNA-damage-inducible transcript 4-like
BC013592
NM_145244


235662(51)
205000_at
DDX3Y
DEAD (Asp-Glu-Ala-Asp) box polypeptide 3, Y-
BC034942





linked


108356(51)
37590_g_at
DKFZp547K1113
Hypothetical protein DKFZp547K1113
AL831826


257678(51)
227208_at
DLNB14
Similar to DLNB14
AB094093


239644(51)
209015_s_at
DNAJB6
DnaJ (Hsp40) homolog, subfamily B, member 6
BC002446
BC000177


368539(51)
1554360_at
FCHSD2
FCH and double SH3 domains 2
BC010394


231559(51)
200895_s_at
FKBP4
FK506 binding protein 4, 59 kDa
BC007924
BC001786


231558(51)
200894_s_at
FKBP4
FK506 binding protein 4, 59 kDa
BC007924
BC001786


245555(51)
215046_at
FLJ23861
Hypothetical protein FLJ23861
BC032837


256116(51)
225644_at
FLJ33814
Hypothetical protein FLJ33814
AK091133


255820(51)
225348_at
FUSIP1
FUS interacting protein (serine/arginine-rich) 1
BC005039
BC001107
BC071575
BC010074


232300(51)
201636_at
FXR1
Fragile X mental retardation, autosomal homolog 1
BC028983


258008(51)
227539_at
GNA13
Guanine nucleotide binding protein (G protein),
AF493902





alpha 13


369812(51)
1556126_s_at
GPATC2
G patch domain containing 2
BC063474
BC042193


269267(51)
238803_at
HECTD2
HECT domain containing 2
BC040187


233478(51)
202814_s_at
HEXIM1
Hexamethylene bis-acetamide inducible 1
BC006460


265920(51)
235456_at
HIST1H2BD
Histone 1, H2bd
BC096122
BC002842


261264(51)
230795_at
HIST2H4
Histone 2, H4
NM_003548


233245(51)
202581_at
HSPA1B
Heat shock 70 kDa protein 1B
DQ388429


255299(51)
224826_at
KIAA1434
Hypothetical protein KIAA1434
BC027588


233706(51)
203042_at
LAMP2
Lysosomal-associated membrane protein 2
BC002965


243887(51)
213371_at
LDB3
LIM domain binding 3
BC010929


258575(51)
228106_at
LOC441010
LOC441010


371444(51)
1558795_at
LOC441157
LOC441157


371445(51)
1558796_a_at
LOC441157
LOC441157
not found


250042(51)
219543_at
MAWBP
MAWD binding protein
BC009738


255346(51)
224873_s_at
MRPS25
Mitochondrial ribosomal protein S25


243462(51)
212944_at
SLC5A3
Solute carrier family 5
BC000547
BC010076
BC004976
NM_032476
BC042752


243681(51)
213164_at
MRPS6
Mitochondrial ribosomal protein S6
BC000547
BC010076
BC004976
NM_032476
BC042752


255392(51)
224919_at
MRPS6
Mitochondrial ribosomal protein S6
BC000547
BC010076
BC004976
NM_032476
BC042752


256420(51)
225949_at
NRBP2
Nuclear receptor binding protein 2
NM_178564
BC113873


238199(51)
207543_s_at
P4HA1
Procollagen-proline, 2-oxoglutarate 4-dioxygenase
BC034998





(proline 4-hydroxylase), alpha polypeptide I


243238(51)
212718_at
PAPOLA
Poly(A) polymerase alpha
NM_032632

BC036014


258564(51)
228095_at
PHF14
PHD finger protein 14
NM_001007157

NM_014660


256788(51)
226317_at
PPP4R2
Protein phosphatase 4, regulatory subunit 2
NM_174907

AJ271448
BC110889


266244(51)
235780_at
PRKACB
Protein kinase, cAMP-dependent, catalytic, beta
BC035058

BC016285


232791(51)
202127_at
PRPF4B
PRP4 pre-mRNA processing factor 4 homolog B
BC059713





(yeast)


245742(51)
215233_at
PTDSR
Phosphatidylserine receptor
BC066654
NM_015167


259973(51)
229504_at
RAB23
RAB23, member RAS oncogene family


244299(51)
213784_at
RABL4
RAB, member of RAS oncogene family-like 4


238958(51)
208319_s_at
RBM3
RNA binding motif (RNP1, RRM) protein 3
BC006825


258448(51)
227979_at
RBM30
RNA binding motif protein 30


260661(51)
230192_at
RFP2
Ret finger protein 2
AF241850


242659(51)
212138_at
SCC-112
SCC-112 protein
NM_015200
BC114218
BC041361
BC009650
AF294791


250188(51)
219689_at
SEMA3G
Sema domain, immunoglobulin domain (Ig), short





basic domain, secreted, (semaphorin) 3G


245301(51)
214790_at
SENP6
SUMO1/sentrin specific protease 6
NM_015571
BC08583


107710(51)
35626_at
SGSH
N-sulfoglucosamine sulfohydrolase (sulfamidase)


253476(51)
222982_x_at
SLC38A2
Solute carrier family 38, member 2
NM_018976
BC029379


248541(51)
218041_x_at
SLC38A2
Solute carrier family 38, member 2
NM_018976
BC029379


251423(51)
220924_s_at
SLC38A2
Solute carrier family 38, member 2
NM_018976
BC029379


243846(51)
213330_s_at
STIP1
Stress-induced-phosphoprotein 1 (Hsp70/Hsp90-
NM_006819





organizing protein)


253253(51)
222759_at
SUV420H1
Suppressor of variegation 4-20 homolog 1
BC104483
BC065287
BC099714
BC087834
BC002522
BC012933





(Drosophila)


254079(51)
223588_at
THAP2
Hypothetical protein DKFZp564I0422
NM_031435

BC008358


270039(51)
239575_at
TMEM10
Transmembrane protein 10
BC033737


257726(51)
227256_at
USP31
Ubiquitin specific protease 31


371080(51)
1558117_s_at
USP31
Ubiquitin specific protease 31


239405(51)
208775_at
XPO1
Exportin 1 (CRM1 homolog, yeast)


253707(51)
223214_s_at
ZHX1
Zinc fingers and homeoboxes 1


256991(51)
226520_at


272727(51)
242263_at


272185(51)
241721_at

CDNA FLJ37844 fis, clone BRSSN2012622


266020(51)
235556_at

Transcribed locus, weakly similar to NP_703324.1





glutamic acid-rich protein (garp) [Plasmodium





falciparum 3D7]


270774(51)
240310_at

Transcribed locus


259124(51)
228655_at

Unknown mRNA sequence


267017(51)
236553_at

Transcribed locus


252809(51)
222315_at


244160(51)
213645_at


260284(51)
229815_at

CDNA clone IMAGE: 4814828

## Claims

1. A method of diagnosing Parkinson's Disease in a patient, comprising: detecting the level of expression of one or more genes selected from the group consisting of: the mitochondrial ribosome protein S6 (MRPS6) gene, the solute carrier family 5 gene (SLC5A3), the solute carrier family 38, member 2 gene (SLC38A2), the cAMP dependent protein kinase, the beta catalytic subunit gene (PRKACB), the cysteine and histidine-rich containing zinc binding protein 1 gene (CHORDC1), and the FUS interacting protein (serine/arginine-rich) 1 gene (FUSIP1), in a biological sample from said patient, wherein differential expression of said one or more genes in the sample as compared to control levels of expression of said one or more genes is indicative of Parkinson's Disease.

2. The method of claim 1, wherein said biological sample is blood.

3. The method of claim 1, wherein the sample is a brain tissue sample.

4. The method of claim 1, wherein the patient is exhibiting symptoms of Parkinson's Disease or is being treated for Parkinson's Disease.

5. The method of claim 1, wherein the level of expression of one or more genes is determined by a nucleic acid polymerization or hybridization technology.

6. The method of claim 1, wherein at least one of said genes comprises MRPS6, SLC5A3, SLC38A2, PRKACB, CHORDC1, and FUSIP1.

7. The method of claim 1, wherein said one or more genes include at least two of MRPS6, CHORDC1, SLC38A2, SLC5A3, PRKACB and FUSIP1.

8. The method of claim 1, wherein said one or more genes are differentially expressed in one or more brain regions of the Parkinson's Disease patient, said brain regions being selected from the group consisting of substantia nigra, ventral tegmental area, cingulate cortex (BA35), insular cortex, amygdala, nucleus basalis, caudate, putamen, nucleus accumbens, globus pallidus, mediodorsal thalamus, pulvinar, subthalamic nucleus, nucleus ambiguous, cerebellar hemisphere, anterior cerebellar vermis, dorsal raphe, locus ceruleus, hypothalamus, hippocampus and reticular formation.

9. The method of claim 1, wherein the level of expression of said one or more genes is normalized to the expression level of a housekeeping gene as a control.

10. The method of claim 1, further comprising, treating said patient for Parkinson's Disease.

11. A method for evaluating Parkinson's Disease in a patient, comprising:
(a) determining a first level of expression of one or more genes selected from the group consisting of: MRPS6, SLC5A3, SLC38A2, PRKACB, CHORDC1, and FUSIP1, in a biological sample from a Parkinson's Disease patient;
(b) administering to said patient a treatment for Parkinson's Disease; and
(c) determining a second level of expression of said one or more genes in a biological sample obtained from the patient during the course of said treatment, wherein differential expression of said one or more genes in the first sample as compared to the second sample is indicative of effective treatment for Parkinson's Disease.

12. The method of claim 11, wherein the biological samples are blood samples.

13. The method of claim 11, wherein at least one of said genes comprises MRPS6, SLC5A3, SLC38A2, PRKACB, CHORDC1, and FUSIP1.

14. The method of claim 11, wherein the one or more genes are differentially expressed in one or more brain regions of the Parkinson's Disease patient, said one or more brain regions being selected from the group consisting of substantia nigra, ventral tegmental area, cingulate cortex (BA35), insular cortex, amygdala, nucleus basalis, caudate, putamen, nucleus accumbens, globus pallidus, mediodorsal thalamus, pulvinar, subthalamic nucleus, nucleus ambiguous, cerebellar hemisphere, anterior cerebellar vermis, dorsal raphe, locus ceruleus, hypothalamus, hippocampus and reticular formation.

15. The method of claim 11, wherein the level of expression of said one or more genes is normalized to the expression level of a housekeeping gene as a control.

16. A method of diagnosing Parkinson's Disease in a patient, comprising:
detecting the level of one or more gene products in a biological sample from said patient, said one or more gene products being the translation products of one or more genes selected from the group consisting of: MRPS6, SLC5A3, SLC38A2, PRKACB, CHORDC1, and FUSIP1, wherein a difference in the levels of said one or more gene products in the sample as compared to control levels is indicative of Parkinson's Disease.

17. The method of claim 16, wherein said biological sample is blood.

18. The method of claim 16, wherein the patient is exhibiting symptoms of Parkinson's Disease or is being treated for Parkinson's Disease.

19. The method of claim 16, wherein the level of the one or more gene products is determined by an immunological assay.

20. The method of claim 16, wherein at least one said gene product comprises MRPS6, SLC5A3, SLC38A2, PRKACB, CHORDC1, and FUSIP1.

21. The method of claim 16, wherein said one or more gene products include at least two of MRPS6, SLC5A3, SLC38A2, PRKACB, CHORDC1, and FUSIP1.

22. The method of claim 16, wherein the gene product is differentially expressed in one or more brain regions of the Parkinson's Disease patient, the one or more brain regions being selected from the group consisting of substantia nigra, ventral tegmental area, cingulate cortex (BA35), insular cortex, amygdala, nucleus basalis, caudate, putamen, nucleus accumbens, globus pallidus, mediodorsal thalamus, pulvinar, subthalamic nucleus, nucleus ambiguous, cerebellar hemisphere, anterior cerebellar vermis, dorsal raphe, locus ceruleus, hypothalamus, hippocampus and reticular formation.

23. A method for evaluating Parkinson's Disease in a patient, comprising:
(a) determining a first level of one or more gene products in a biological sample from a Parkinson's Disease patient, said one or more gene products being translation products of genes selected from the group consisting of: MRPS6, SLC5A3, SLC38A2, PRKACB, CHORDC1, and FUSIP1;
(b) administering to said patient a treatment for Parkinson's Disease; and
(c) determining a second level of said one or more gene products in a biological sample obtained from the patient during the course of said treatment, wherein a difference in the levels of said one or more gene products in the first sample as compared to the second sample is indicative of effective treatment for Parkinson's Disease.

24. The method of claim 23, wherein the biological samples are blood samples.

25. The method of claim 23, wherein at least one said gene product comprises MRPS6, SLC5A3, SLC38A2, PRKACB, CHORDC1, and FUSIP1.

26. The method of claim 23, wherein said one or more gene products include at least two of MRPS6, SLC5A3, SLC38A2, PRKACB, CHORDC1, and FUSIP1.

27. The method of claim 23, wherein the gene product is differentially expressed in one or more brain regions of the Parkinson's Disease patient, the one or more brain regions being selected from the group consisting of substantia nigra, ventral tegmental area, cingulate cortex (BA35), insular cortex, amygdala, nucleus basalis, caudate, putamen, nucleus accumbens, globus pallidus, mediodorsal thalamus, pulvinar, subthalamic nucleus, nucleus ambiguous, cerebellar hemisphere, anterior cerebellar vermis, dorsal raphe, locus ceruleus, hypothalamus, hippocampus and reticular formation.