bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comprehensive analysis of mobile genetic elements in the gut microbiome reveals phylum-level niche-adaptive gene pools
Authors: Jiang Xiaofang , Hall Andrew Brantley , Xavier Ramnik J. , Alm Eric 
Published: November 2017

AbstractMobile genetic elements (MGEs) drive extensive horizontal transfer in the gut microbiome. This transfer could benefit human health by conferring new metabolic capabilities to commensal microbes, or it could threaten human health by spreading antibiotic resistance genes to pathogens. Despite their biological importance and medical relevance, MGEs from the gut microbiome have not been systematically characterized. Here, we present a comprehensive analysis of chromosomal MGEs in the gut microbiome using a method called Split Read Insertion Detection (SRID) that enables the identification of the exact mobilizable unit of MGEs. Leveraging the SRID method, we curated a database of 5600 putative MGEs encompassing seven MGE classes called ImmeDB (Intestinal microbiome mobile element database) (https://immedb.mit.edu/). We observed that many MGEs carry genes that confer an adaptive advantage to the gut environment including gene families involved in antibiotic resistance, bile salt detoxification, mucus degradation, capsular polysaccharide biosynthesis, polysaccharide utilization, and sporulation. We find that antibiotic resistance genes are more likely to be spread by conjugation via integrative conjugative elements or integrative mobilizable elements than transduction via prophages. Additionally, we observed that horizontal transfer of MGEs is extensive within phyla but rare across phyla. Taken together, our findings support a phylum level niche-adaptive gene pools in the gut microbiome. ImmeDB will be a valuable resource for future fundamental and translational studies on the gut microbiome and MGE communities.
Deep learning accurately predicts estrogen receptor status in breast cancer metabolomics data
Authors: Alakwaa Fadhl M , Chaudhary Kumardeep , Garmire Lana X 
Published: November 2017

ABSTRACTMetabolomics holds the promise as a new technology to diagnose highly heterogeneous diseases. Conventionally, metabolomics data analysis for diagnosis is done using various statistical and machine learning based classification methods. However, it remains unknown if deep neural network, a class of increasingly popular machine learning methods, is suitable to classify metabolomics data. Here we use a cohort of 271 breast cancer tissues, 204 positive estrogen receptor (ER+) and 67 negative estrogen receptor (ER-), to test the accuracies of autoencoder, a deep learning (DL) framework, as well as six widely used machine learning models, namely Random Forest (RF), Support Vector Machines (SVM), Recursive Partitioning and Regression Trees (RPART), Linear Discriminant Analysis (LDA), Prediction Analysis for Microarrays (PAM), and Generalized Boosted Models (GBM). DL framework has the highest area under the curve (AUC) of 0.93 in classifying ER+/ER-patients, compared to the other six machine learning algorithms. Furthermore, the biological interpretation of the first hidden layer reveals eight commonly enriched significant metabolomics pathways (adjusted P-value<0.05) that cannot be discovered by other machine learning methods. Among them, protein digestion & absorption and ATP-binding cassette (ABC) transporters pathways are also confirmed in integrated analysis between metabolomics and gene expression data in these samples. In summary, deep learning method shows advantages for metabolomics based breast cancer ER status classification, with both the highest prediction accurcy (AUC=0.93) and better revelation of disease biology. We encourage the adoption of autoencoder based deep learning method in the metabolomics research community for classification.
Recurrent loss of heterozygosity correlates with clinical outcome in pancreatic neuroendocrine cancer
Authors: Lawrence Ben , Blenkiron Cherie , Parker Kate , Tsai Peter , Fitzgerald Sandra , Shields Paula , Robb Tamsin , Yeong Mee Ling , Kramer Nicole , James Sarah , Black Mik , Fan Vicky , Poonawala Nooriyah , Yap Patrick , Coats Esther , Woodhouse Braden , Ramsaroop Reena , Yozu Masato , Robinson Bridget , Henare Kimiora , Koea Jonathan , Johnston Peter , Carroll Richard , Connor Saxon , Morrin Helen , Elston Marianne , Jackson Christopher , Reid Papaarangi , Windsor John , MacCormick Andrew , Babor Richard , Bartlett Adam , Damianovich Dragan , Knowlton Nicholas , Grimmond Sean , Findlay Michael , Print Cristin 
Published: November 2017

AbstractPancreatic neuroendocrine tumors (pNETs) are uncommon cancers arising from pancreatic islet cells. Analysis of gene mutation, copy number and RNA expression of 57 sporadic pNETs showed that pNET genomes are dominated by aneuploidy. Remarkably, ~25% of pNETs had genomes characterized by recurrent loss of heterozygosity (LoH) of the same 10 chromosomes, accompanied by bi-allelic MEN1 inactivation, and these cases had generally poor clinical outcome. Another ~25% of all pNETs had chromosome 11 LoH and bi-allelic MEN1 inactivation, lacking the recurrent LoH pattern – these had universally good clinical outcome. Some level of aneuploidy was common, and overall ~80% of pNETs had LoH of ≥1 chromosome. This aneuploidy led to changes in RNA expression at the level of whole chromosomes and allowed pathogenic germline variants (e.g. ATM) to be expressed unopposed, inactivating downstream tumor suppressor pathways. Some pNETs appear to utilize VHL gene methylation or mutation to activate pseudo-hypoxia. Contrary to expectation neither tumor morphology within well-differentiated pNETs nor single gene mutation had significant associations with clinical outcome, nor did expression of RNAs reflecting the activity of immune, differentiation, proliferative or tumor suppressor pathways. MEN1 was the only statistically significant recurrently mutated driver gene in pNETs. Only one pNET had clearly oncogenic and actionable SNVs (in PTEN and FLCN) confirmed by corroborating RNA expression changes. The two distinct patterns of aneuploidy described here, associated with markedly poor and good clinical outcome respectively, define a novel oncogenic mechanism and the first route to genomic precision oncology for this tumor type.
Gene expression correlates of social evolution in coral reef butterflyfishes
Authors: Nowicki Jessica P. , Pratchett Morgan S. , Walker Stefan P. W. , Coker Darren J. , O’Connell Lauren A. 
Published: November 2017

AbstractAnimals display remarkable variation in social behavior. However, outside of rodents, little is known about the neural mechanisms of social variation, and whether they are shared across species and sexes, limiting our understanding of how sociality evolves. Using coral reef butterflyfishes, we examined gene expression correlates of social variation (i.e., pair bonding vs. solitary living) within and between species and sexes. In several brain regions, we quantified gene expression of receptors important for social variation in mammals: oxytocin (OTR), arginine vasopressin (V1aR), dopamine (D1R, D2R), and mu-opioid (MOR). We found that social variation across individuals of the oval butterflyfish, Chaetodon lunulatus, is linked to differences in OTR,V1aR, D1R, D2R, and MOR gene expression within several forebrain regions in a sexually dimorphic manner. However, this contrasted with social variation among six species representing a single evolutionary transition from pair bonded to solitary living. Here, OTR expression within the supracommissural part of the ventral telencephalon was higher in pair bonded than solitary species, specifically in males. These results contribute to the emerging idea that nonapeptide, dopamine, and opioid signaling is a central theme to the evolution of sociality across individuals, although the precise mechanism may be flexible across sexes and species.
Non-invasive measurement of mRNA decay reveals translation initiation as the major determinant of mRNA stability
Authors: Chan Leon Y , Mugler Christopher F , Heinrich Stephanie , Vallotton Pascal , Weis Karsten 
Published: November 2017

AbstractThe cytoplasmic abundance of mRNAs is strictly controlled through a balance of production and degradation. Whereas the control of mRNA synthesis through transcription has been well characterized, less is known about the regulation of mRNA turnover, and a consensus model explaining the wide variations in mRNA decay rates remains elusive. Here, we combine non-invasive transcriptome-wide mRNA production and stability measurements with selective and acute perturbations to demonstrate that mRNA degradation is tightly coupled to the regulation of translation, and that a competition between translation initiation and mRNA decay -but not codon optimality or elongation- is the major determinant of mRNA stability in yeast. Our refined measurements also reveal a remarkably dynamic transcriptome with an average mRNA half-life of only 4.8 minutes - much shorter than previously thought. Furthermore, global mRNA destabilization by inhibition of translation initiation induces a dose-dependent formation of processing bodies in which mRNAs can decay over time.
A Polymorphic Residue That Attenuates the Antiviral Potential of Interferon Lambda 4 in Hominid Lineages
Authors: Bamford Connor G. G. , Aranday-Cortes Elihu , Filipe Inès Cordeiro , Sukumar Swathi , Mair Daniel , da Silva Filipe Ana , Mendoza Juan L. , Christopher Garcia K. , Fan Shaohua , Tishkoff Sarah A. , McLauchlan John 
Published: November 2017

AbstractAs antimicrobial signalling molecules, type III or lambda interferons (IFNλs) are critical for defence against infection by diverse pathogens. Counter-intuitively, expression of one member of the family, IFNλ4, is associated with decreased clearance of hepatitis C virus (HCV) in the human population; by contrast, a natural in-frame nucleotide insertion that abrogates IFNλ4 production improves viral clearance. To further understand how genetic variation between and within species affects IFNλ4 function, we screened a panel of extant coding variants of human IFNλ4 and identified three variants that substantially affect antiviral activity (P70S, L79F and K154E). The most notable variant was K154E, which enhancedin vitroactivity in a range of antiviral and interferon stimulated gene (ISG) assays. This more active E154 variant of IFNλ4 was found only in African Congo rainforest ‘Pygmy’ hunter-gatherers. Remarkably, E154 was highly conserved as the ancestral residue in mammalian IFNλ4s yet K154 is the dominant variant throughout evolution of the hominid genusHomo. Compared to chimpanzee IFNλ4, the human orthologue had reduced activity due to amino acid substitution of glutamic acid with lysine at position 154. Meta-analysis of published gene expression data from humans and chimpanzees showed that this difference in activity between K154 and E154 in IFNλ4 is consistent with differences in antiviral gene expressionin vivoduring HCV infection. Mechanistically, our data suggest that human-specific K154 likely affects IFNλ4 activity by reducing secretion and potency. We postulate that evolution of an IFNλ4 with attenuated activity in humans (K154) likely contributes to distinct host-specific responses to and outcomes of infection, such as HCV.
Genome-Wide Identification of Early-Firing Human Replication Origins by Optical Replication Mapping
Authors: Klein Kyle , Wang Weitao , Borrman Tyler , Chan Saki , Zhang Denghong , Weng Zhiping , Hastie Alex , Chen Chunlong , Gilbert David M. , Rhind Nicholas 
Published: November 2017

AbstractThe timing of DNA replication is largely regulated by the location and timing of replication origin firing. Therefore, much effort has been invested in identifying and analyzing human replication origins. However, the heterogeneous nature of eukaryotic replication kinetics and the low efficiency of individual origins in metazoans has made mapping the location and timing of replication initiation in human cells difficult. We have mapped early-firing origins in HeLa cells using Optical Replication Mapping, a high-throughput single-molecule approach based on Bionano Genomics genomic mapping technology. The single-molecule nature and 290-fold coverage of our dataset allowed us to identify origins that fire with as little as 1% efficiency. We find sites of human replication initiation in early S phase are not confined to well-defined efficient replication origins, but are instead distributed across broad initiation zones consisting of many inefficient origins. These early-firing initiation zones co-localize with initiation zones inferred from Okazaki-fragment-mapping analysis and are enriched in ORC1 binding sites. Although most early-firing origins fire in early-replication regions of the genome, a significant number fire in late-replicating regions, suggesting that the major difference between origins in early and late replicating regions is their probability of firing in early S-phase, as opposed to qualitative differences in their firing-time distributions. This observation is consistent with stochastic models of origin timing regulation, which explain the regulation of replication timing in yeast.
PIK3IP1/TrIP restricts activation of T cells through inhibition of PI3K/Akt
Authors: Uche Uzodinma , Szymczak-Workman Andrea L. , Grebinoski Stephanie , Piccirillo Ann , D’Cruz Louise M. , Kane Lawrence P. 
Published: November 2017

ABSTRACTPhosphatidylinositol-3 kinases (PI3Ks) modulate numerous cellular functions, including growth, proliferation and survival. Dysregulation of the PI3K pathway can lead to autoimmune disease and cancer. PIK3IP1 (or Transmembrane Inhibitor of PI3K – TrIP) is a novel transmembrane regulator of PI3K. TrIP contains an extracellular kringle domain and an intracellular “p85-like” domain with homology to the inter-SH2 domain of the regulatory subunit of PI3K. Although TrIP has been shown to bind to the p110 catalytic subunit of PI3K in fibroblasts, the mechanism by which TrIP functions is poorly understood. We show that both the kringle and “p85-like” domains are necessary for TrIP inhibition of PI3K. We also demonstrate that TrIP protein is down-modulated from the surface of T cells to allow T cell activation. In addition, we present evidence that the kringle domain may modulate TrIP function by binding an as-yet-unidentified ligand. Using an inducible knockout mouse model that we developed, we show that TrIP-deficient T cells exhibit more robust T cell activation, show a preference for Th1 polarization and can mediate clearance of Listeria monocytogenes infection faster than WT mice. Thus, TrIP is an important negative regulator of T cell activation and may represent a novel target for immune modulation therapies.
High genomic diversity of multi-drug resistant wastewater Escherichia coli
Authors: Mahfouz Norhan , Caucci Serena , Achatz Eric , Semmler Torsten , Guenther Sebastian , Berendonk Thomas U. , Schroeder Michael 
Published: November 2017

AbstractWastewater treatment plants play an important role in the release of antibiotic resistance into the environment. It has been shown that wastewater contains multi-drug resistant Escherichia coli, but information on strain diversity is surprisingly scarce. Here we present an exceptionally large dataset on multidrug resistant Escherichia coli, originating from wastewater, over a thousand isolates were phenotypically characterized for twenty antibiotics and for 103 isolates whole genomes were sequenced. To our knowledge this is the first study documenting such a comprehensive diversity of multi-drug resistant Escherichia coli in wastewater. The genomic diversity of the isolates was unexpectedly high and contained a high number of resistance and virulence genes. To illustrate the genomic diversity of the isolates we calculated the pan genome of the wastewater Escherichia coli and found it to contain over sixteen thousand genes. To analyse this diverse dataset, we devised a computational approach correlating genotypic variation and resistance phenotype, this way we were able to identify not only known, but also candidate resistance genes. Finally, we could verify that the effluent of a wastewater treatment plant will contain multi-drug resistant Escherichia coli belonging to clinically important clonal groups.
A Pilot Randomized Trial of Oral Magnesium Supplementation on Supraventricular Arrhythmias
Authors: Lutsey Pamela L. , Chen Lin Y. , Eaton Anne , Jaeb Melanie , Rudser Kyle D. , Neaton James D. , Alonso Alvaro 
Published: November 2017

AbstractBackgroundMagnesium is believed to have a physiologic role in cardiac contractility, and evidence from epidemiologic and clinical studies has suggested that low serum concentrations of magnesium may be associated with increased risk of atrial fibrillation (AF).ObjectiveAs part of the planning effort for a large randomized trial to prevent AF with magnesium supplementation, we conducted a 12-week pilot study to assess adherence to oral magnesium supplementation and matching placebo, estimate the effect on circulating magnesium concentrations, and evaluate the feasibility of using an ambulatory monitoring device (ZioPatch) for assessing premature atrial contractions (PACs), a predictor of AF.DesignDouble-blind randomized pilot clinical trial comparing supplementation with 400 mg magnesium oxide daily (versus placebo) over 12 weeks of follow-up. The ZioPatch was applied for 14 days at baseline and the end of follow-up. Adherence to the assigned treatment, and changes in PACs, serum magnesium concentration, glucose and blood pressure were assessed.ResultsA total of 59 participants, 73% women and average age 62 years, were randomized. 98% of participants completed follow-up. Those assigned to the magnesium supplement took 75% of tablets as compared to 83% for those in the placebo group. Change in magnesium concentrations was significantly greater for those given magnesium supplement compared to placebo (0.07; 95% confidence interval (CI): 0.03, 0.12 mEq/L; p = 0.002). ZioPatch was worn for an average of 13.0 of the requested 14 days at baseline; at the end of follow-up, the average number of days of monitoring was 13.0 days for the magnesium supplement group and 12.7 days for the placebo group. For log PAC burden (episodes per hour), the average change from baseline was −0.05 (95% CI: −0.31, 0.20) for those randomized to magnesium supplement and 0.04 (95% CI: −0.24, 0.31) for those randomized to placebo (p=0.79 for difference). Gastrointestinal problems were reported by 50% of participants in the magnesium supplement group and 7% in the placebo group. Only one person in the magnesium supplement group and none in the placebo group experienced adverse events which led to treatment discontinuation.ConclusionsIn this pilot randomized clinic trial, although gastrointestinal side effects to the magnesium supplement were common, adherence, measured by pill counts, was very good and, as a consequence, magnesium concentrations were greater for those randomly assigned to the magnesium supplement compared to placebo. Participant acceptance of the planned monitoring with ZioPatch was also very good. While the difference in the change in PACs was not significant, this pilot study was small, short-term, and did not include participants at high risk of AF. Thus, we could not reliably evaluate the effect of magnesium supplementation on PACs.Clinicaltrials.gov registrationNCT02837328
Split personality of Aluminum Activated Malate Transporter family proteins: facilitation of both GABA and malate transport
Authors: Ramesh Sunita A. , Kamran Muhammad , Sullivan Wendy , Chirkova Larissa , Okamoto Mamoru , Degryse Fien , McLaughlin Michael , Gilliham Matthew , Tyerman Stephen D. 
Published: November 2017

ABSTRACTPlant aluminum activated malate transporters (ALMTs) are currently classified as anion channels; they are also known to be regulated by diverse signals leading to a range of physiological responses. Gamma-aminobutyric acid (GABA) regulation of anion flux through ALMT proteins requires the presence of a specific amino acid motif in ALMTs that shares similarity with a GABA-binding site in mammalian GABAAreceptors. Here, we explore why TaALMT1-activation leads to a negative correlation between malate efflux and endogenous GABA concentrations ([GABA]i) in both wheat root tips and in heterologous expression systems. We show that TaALMT1 activation reduces [GABA]ibecause TaALMT1 facilitates GABA efflux. TaALMT1-expression also leads to GABA transport into cells, demonstrated by a yeast complementation assay and via14CGABA uptake into TaALMT1-expressingXenopus laevisoocytes; this was found to be a general feature of all ALMTs we examined. Mutation of the GABA motif (TaALMT1F213C) prevented both GABA influx and efflux, and uncoupled the relationship between malate efflux and [GABA]i. We conclude that ALMTs are likely to act as both GABA and anion transportersin planta. GABA and malate appear to interact with ALMTs in a complex manner regulating each other’s transport, suggestive of a role for ALMTs in communicating metabolic status.
Coupling MALDI-TOF mass spectrometry protein and specialized metabolite analyses to rapidly discriminate bacterial function
Authors: Clark Chase M. , Costa Maria S. , Sanchez Laura M. , Murphy Brian T. 
Published: November 2017

AbstractFor decades, researchers have lacked the ability torapidlycorrelate microbial identity with bacterial metabolism. Since specialized metabolites are critical to bacterial function and survival in the environment, we designed a data acquisition and bioinformatics technique (IDBac) that utilizesin situmatrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) to analyze protein and specialized metabolite spectra of single bacterial colonies from agar plates. We demonstrated the power of our approach by discriminating between twoBacillus subtiliscolonies in under 30 minutes, which differ by a single genomic mutation, solely on the basis of their differential ability to produce cyclic peptide antibiotics surfactin and plipastatin. Next, we employed our IDBac technique to detect subtle intra-species differences in the production of metal scavenging acyl-desferrioxamines in a group of eight freshwaterMicromonosporaisolates that share >99% sequence similarity in the 16S rRNA gene. Finally, we employed our method to simultaneously extract protein and specialized metabolite MS profiles from unidentified species of Lake Michigan sponge-associated bacteria cultivated on an agar plate. In just 3 hours, we created hierarchical protein MS groupings of 11 environmental isolates (10 MS replicates each, for a total of 110 samples) that accurately mirrored phylogenetic groupings. We further distinguished isolates within these groupings, which share nearly identical 16S rRNA gene sequence identity, based on inter- and intra-species differences in specialized metabolite production. To our knowledge, IDBac is the first attempt to couplein situMS analyses of protein contentandspecialized metabolite production to allow the distinction of closely related bacterial colonies.SignificanceMass spectrometry is a powerful technique that has been used to identify bacteria via protein content, and to assess bacterial function in an environment via analysis of specialized metabolites. However, until now these analyses have operated independently, and this has resulted in the inability to rapidly connect bacterial phylogenetic identity with patterns of specialized metabolism. To bridge this gap, we designed a MALDI-TOF mass spectrometry data acquisition and bioinformatics pipeline (IDBac) to discriminate both intact protein and specialized metabolite spectra directly from bacterial cells grown on agar. To our knowledge, this is the first technique that organizes bacteria into highly similar phylogenetic groups and allows for comparison of metabolic differences of hundreds of isolates in just a few hours.