gebhart/patrepeval huggingface dataset:
Increased interleukin-6 production by murine bone marrow and bone cells after estrogen withdrawal. (1993)

We have previously shown that cytokine-induced production of interleukin-6 (IL-6) by cultured bone marrow-derived stromal and osteoblastic cells is inhibited by 17 beta-estradiol, and that estrogen withdrawal (ovariectomy) in mice causes an up-regulation of osteoclast development which can be prevented by a neutralizing antibody against IL-6 or estrogen replacement. To directly establish the link between estrogen loss and altered IL-6 production, implied by our earlier studies, we have now compared IL-6 production in ex vivo cultures of bone marrow cells from mice that were sham operated, ovariectomized, or ovariectomized and treated with 17 beta-estradiol. In addition, we have examined the effect of the in vitro withdrawal of estrogens from primary cell cultures of neonatal murine calvaria on IL-6 production. IL-6 production in ex vivo cultures of bone marrow cells maintained in the presence of 1,25-dihydroxyvitamin D3 or PTH was greater in marrow cells from ovariectomized mice than in those from sham-operated animals or ovariectomized animals receiving estrogen replacement. In line with this finding, addition of 17 beta-estradiol to calvaria cell cultures followed by withdrawal of the steroid caused an increase in the amount of IL-6 produced in response to the subsequent stimulation of these cultures with IL-1 or PTH compared to that in cultures that had never been treated with estradiol; when the inactive isomer 17 alpha-estradiol was used, no change in IL-6 production was observed. These results establish that estrogen loss causes an up-regulation of IL-6 production by bone marrow cells and that a similar phenomenon can be elicited in vitro by withdrawal of 17 beta-estradiol from primary cultures of bone cells.
Diagnosis and failure analysis for scan failure (2005)

This paper describes a scan test that is widely used for microelectronic devices nowadays, and scan failure that is often ranked as one of the highest yield loss for most microelectronic devices. Due to its nature, the fault isolation of scan failure can't be achieved by conventional current-based fault isolation techniques. So, establishment of scan failure diagnosis capability is very important. The four cases showed in this paper demonstrated that the scan failure could be diagnosed by diagnosis software effectively and various types of defects could be found by this methodology.
Diagnosis of Hymenoptera venom allergy (2005)

The purpose of diagnostic procedure is to classify a sting reaction by history, identify the underlying pathogenetic mechanism, and identify the offending insect. Diagnosis of Hymenoptera venom allergy thus forms the basis for the treatment. In the central and northern Europe vespid (mainly Vespula spp.) and honeybee stings are the most prevalent, whereas in the Mediterranean area stings from Polistes and Vespula are more frequent than honeybee stings; bumblebee stings are rare throughout Europe and more of an occupational hazard. Several major allergens, usually glycoproteins with a molecular weight of 10-50 kDa, have been identified in venoms of bees, vespids. and ants. The sequences and structures of the majority of venom allergens have been determined and several have been expressed in recombinant form. A particular problem in the field of cross-reactivity are specific immunoglobulin E (IgE) antibodies directed against carbohydrate epitopes, which may induce multiple positive test results (skin test, in vitro tests) of still unknown clinical significance. Venom hypersensitivity may be mediated by immunologic mechanisms (IgE-mediated or non-IgE-mediated venom allergy) but also by nonimmunologic mechanisms. Reactions to Hymenoptera stings are classified into normal local reactions, large local reactions, systemic toxic reactions, systemic anaphylactic reactions, and unusual reactions. For most venom-allergic patients an anaphylactic reaction after a sting is very traumatic event, resulting in an altered health-related quality of life. Risk factors influencing the outcome of an anaphylactic reaction include the time interval between stings, the number of stings, the severity of the preceding reaction, age, cardiovascular diseases and drug intake, insect type, elevated serum tryptase, and mastocytosis. Diagnostic tests should be carried out in all patients with a history of a systemic sting reaction to detect sensitization. They are not recommended in subjects with a history of large local reaction or no history of a systemic reaction. Testing comprises skin tests with Hymenoptera venoms and analysis of the serum for Hymenoptera venom-specific IgE. Stepwise skin testing with incremental venom concentrations is recommended. If diagnostic tests are negative they should be repeated several weeks later. Serum tryptase should be analyzed in patients with a history of a severe sting reaction.
Steady-state decomposition of ammonia on the platinum(110)-(1 .times. 2) surface (1986)

ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTSteady-state decomposition of ammonia on the platinum(110)-(1 .times. 2) surfaceJ. J. Vajo, W. Tsai, and W. H. WeinbergCite this: J. Phys. Chem. 1986, 90, 24, 6531–6535Publication Date (Print):November 1, 1986Publication History Published online1 May 2002Published inissue 1 November 1986https://pubs.acs.org/doi/10.1021/j100282a023https://doi.org/10.1021/j100282a023research-articleACS PublicationsRequest reuse permissionsArticle Views221Altmetric-Citations12LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InRedditEmail Other access options Get e-Alerts
BRCA1 is an essential regulator of heart function and survival following myocardial infarction (2011)

The tumour suppressor BRCA1 is mutated in familial breast and ovarian cancer but its role in protecting other tissues from DNA damage has not been explored. Here we show a new role for BRCA1 as a gatekeeper of cardiac function and survival. In mice, loss of BRCA1 in cardiomyocytes results in adverse cardiac remodelling, poor ventricular function and higher mortality in response to ischaemic or genotoxic stress. Mechanistically, loss of cardiomyocyte BRCA1 results in impaired DNA double-strand break repair and activated p53-mediated pro-apoptotic signalling culminating in increased cardiomyocyte apoptosis, whereas deletion of the p53 gene rescues BRCA1-deficient mice from cardiac failure. In human adult and fetal cardiac tissues, ischaemia induces double-strand breaks and upregulates BRCA1 expression. These data reveal BRCA1 as a novel and essential adaptive response molecule shielding cardiomyocytes from DNA damage, apoptosis and heart dysfunction. BRCA1 mutation carriers, in addition to risk of breast and ovarian cancer, may be at a previously unrecognized risk of cardiac failure.
Escherichia coli trigger factor is a prolyl isomerase that associates with nascent polypeptide chains. (1996)

Correct folding of newly synthesized proteins is proposed to be assisted by molecular chaperones and folding catalysts. To identify cellular factors involved in the initial stages of this process we searched for proteins associated with nascent polypeptide chains. In an Escherichia coli transcription/translation system synthesizing beta-galactosidase we identified a 58-kDa protein which associated with translating ribosomes but dissociated from these ribosomes upon release of nascent beta-galactosidase. N-terminal sequencing identified it as trigger factor, previously implicated in protein secretion. Direct evidence for association of trigger factor with nascent polypeptide chains was obtained by crosslinking. In a wheat germ translation system complemented with E. coli lysates, epsilon-4-(3-trifluoromethyldiazirino)benzoic acid-lysine residues were incorporated into nascent secretory preprolactin and a nonsecretory preprolactin mutant. Trigger factor crosslinked to both types of nascent chains, provided they were ribosome bound. Trigger factor contains key residues of the substrate-binding pocket of FK506-binding protein-type peptidyl-prolyl-cis/trans-isomerases and has prolyl isomerase activity in vitro. We propose that trigger factor is a folding catalyst acting cotranslationally.
Cloning and Nucleotide Sequence of the Maltopentaose-forming Amylase Gene fromPseudomonassp. KO-8940 (1992)

The gene coding for the maltopentaose-(G5)-forming amylase of Pseudomonas sp. KO-8940 was cloned into Escherichia coli and its nucleotides were sequenced. It was expected that a long open reading frame composed of 1,842-bp that encoded 614 amino acid residues for secretory precursor polypeptide including the typical signal sequence with an NH2-terminal was the gene. An extract of Escherichia coli carrying the cloned G5-forming amylase gene had amylolytic activity with which produced only G5 from starch, the same as that of the donor strain enzyme. In the deduced primary structure of this enzyme, the four conserved regions of many alpha-amylases were found, and the COOH-terminal portion of this enzyme showed high homology with other raw starch digesting amylases.
CD47 Is Necessary for Inhibition of Nitric Oxide-stimulated Vascular Cell Responses by Thrombospondin-1 (2006)

CD36 is necessary for inhibition of some angiogenic responses by the matricellular glycoprotein thrombospondin-1 and is therefore assumed to be the receptor that mediates its anti-angiogenic activities. Although ligation of CD36 by antibodies, recombinant type 1 repeats of thrombospondin-1, or CD36-binding peptides was sufficient to inhibit nitric oxide (NO)-stimulated responses in both endothelial and vascular smooth muscle cells, picomolar concentrations of native thrombospondin-1 similarly inhibited NO signaling in vascular cells from wild-type and CD36-null mice. Ligation of the thrombospondin-1 receptor CD47 by recombinant C-terminal regions of thrombospondin-1, thrombospondin-1 peptides, or CD47 antibodies was also sufficient to inhibit NO-stimulated phenotypic responses and cGMP signaling in vascular cells. Thrombospondin-1 did not inhibit NO signaling in CD47-null vascular cells or NO-stimulated vascular outgrowth from CD47-null muscle explants in three-dimensional cultures. Furthermore, the CD36-binding domain of thrombospondin-1 and anti-angiogenic peptides derived from this domain failed to inhibit NO signaling in CD47-null cells. Therefore, ligation of either CD36 or CD47 is sufficient to inhibit NO-stimulated vascular cell responses and cGMP signaling, but only CD47 is necessary for this activity of thrombospondin-1 at physiological concentrations.
Causal Protein-Signaling Networks Derived from Multiparameter Single-Cell Data (2005)

Machine learning was applied for the automated derivation of causal influences in cellular signaling networks. This derivation relied on the simultaneous measurement of multiple phosphorylated protein and phospholipid components in thousands of individual primary human immune system cells. Perturbing these cells with molecular interventions drove the ordering of connections between pathway components, wherein Bayesian network computational methods automatically elucidated most of the traditionally reported signaling relationships and predicted novel interpathway network causalities, which we verified experimentally. Reconstruction of network models from physiologically relevant primary single cells might be applied to understanding native-state tissue signaling biology, complex drug actions, and dysfunctional signaling in diseased cells.
Abstract 15652: Comparison of the Novel Peroxisome Proliferator-Activated Receptor Alpha Agonist K-877 and Fenofibrate on High-Density Lipoprotein Subclass Distribution Determined by High-Performance Liquid Chromatography in Patients With Dyslipidemia (2013)

Introduction: HDL is a class of structurally and functionally heterogeneous particles. Among the HDL particles, small HDL (HDL3) are more functional than large HDL (HDL2) in reverse cholesterol tra...
Varying effects of temperature, Ca2+ and cytochalasin on fusion activity mediated by human immunodeficiency virus type 1 and type 2 glycoproteins (2000)

We examined fusion mediated by the human immunodeficiency virus type 1 (HIV-1) and type 2 (HIV-2) envelope glycoproteins under various experimental conditions. Incubation of HeLa cells expressing HIV-2(ROD) and HIV-2(SBL/ISY) envelope glycoproteins with HeLa-CD4 target cells resulted in fusion at temperatures >/=25 degrees C whereas fusion with cells expressing HIV-1(Lai) occurred only at >/=31 degrees C. HIV-2 envelope glycoprotein-mediated fusion proceeded in the absence of Ca(2+) in the culture medium, whereas HIV-1 fusion required Ca(2+) ions for fusion. In contrast to HIV-2 envelope glycoprotein fusion, incubations in the presence of the 0.5 microM cytochalasin B completely inhibited HIV-1 envelope glycoprotein-mediated fusion. Our results suggest that in contrast to HIV-2, HIV-1 fusion is dependent on dynamic processes in the target membrane.
Biologics: the next-generation therapeutics for analgesia? (2011)

There is a huge unmet need for novel medicines for the treatment of chronic pain. In this article, we briefly examine some of the issues associated with traditional approaches to the treatment of these conditions. We go on to present some of the current evidence for three of the most advanced approaches to the treatment of pain using a biological approach and briefly review some of the future trends that may lead to better treatments for this debilitating condition.
Designing composite solid-state electrolytes for high performance lithium ion or lithium metal batteries (2020)

Solid-state electrolytes (SSEs) are capable of inhibiting the growth of lithium dendrites, demonstrating great potential in next-generation lithium-ion batteries (LIBs). However, poor room temperature ionic conductivity and the unstable interface between SSEs and the electrode block their large-scale applications in LIBs. Composite solid-state electrolytes (CSSEs) formed by mixing different ionic conductors lead to better performance than single SSEs, especially in terms of ionic conductivity and interfacial stability. Herein, we have systematically reviewed recent developments and investigations of CSSEs including inorganic composite and organic-inorganic composite materials, in order to provide a better understanding of designing CSSEs. The comparison of different types of CSSEs relative to their parental materials is deeply discussed in the context of ionic conductivity and interfacial design. Then, the proposed ion transfer pathways and models of lithium dendrite growth in composites are outlined to inspire future development of CSSEs.
Extending the data base relational model to capture more meaning (1979)

During the last three or four years several investigators have been exploring 'semantic models' for formatted data bases. The intent is to capture (in a more or less formal way) more of the meaning of the data, so that data base design can become more systematic and the data base system itself can behave more intelligently. Two major thrusts are clear:1) the search for meaningful units that are as small as possible --- atomic semantics2) the search for meaningful units that are larger than the usual n-ary relation --- molecular semantics.In this paper we propose extensions to the relational model to support certain atomic and molecular semantics. These extensions represent a synthesis of many ideas from the published work in semantic modeling.
Relationships Between Milk Urea Concentrations and Nutritional Management, Production, and Economic Variables in Ontario Dairy Herds (2001)

The objectives of this study were to describe the relationships between milk urea concentrations and nutritional management, production, and economic variables in commercial dairy herds. Dairy Herd Improvement (DHI) test-day milk urea data, production data, and information on ration nutrient composition and feeding management programs were collected over a 13-mo period from 53 commercial Ontario dairy herds. Economic variables included gross milk revenue, feed costs, and income over feed costs. Herd mean milk urea concentrations had a positive relationship with dietary levels of crude protein (CP), rumen degradable protein (RDP), and rumen undegradable protein (RUP) and a negative relationship with dietary levels of nonfiber carbohydrates (NFC), forage:concentrate (F:C) ratio, NFC:CP ratio, and NFC:RDP ratio. These findings are consistent with experimental studies that used chemical methods of milk urea analysis. Herd mean milk urea concentration was not associated with feeding management (e.g., total mixed rations, component feeding, feeding frequency, or synchrony of forage and concentrate feeding). Herd mean milk urea was not associated with either mean milk yield or linear score. Herd mean milk urea had a positive relationship with feed costs per cow per day but was not associated with gross milk revenue per cow per day. Herds with a high mean milk urea concentration tended to have lower income over feed costs per cow per day. High herd mean milk urea concentrations were associated with higher feed costs per kilogram of milk fat but lower gross milk revenue and lower income over feed costs per kilogram of milk fat. The results of this study demonstrate that DHI milk urea measurements produced by an infrared test method offer a useful tool for monitoring the efficiency of nitrogen utilization in commercial dairy herds. The results also suggest that diets may be balanced to achieve greater efficiency of nitrogen utilization, lower milk urea concentrations, and lower feed costs, while still achieving high milk production. This may lead to improved income over feed costs.
Wireless Communications and Applications Above 100 GHz: Opportunities and Challenges for 6G and Beyond (2019)

Frequencies from 100 GHz to 3 THz are promising bands for the next generation of wireless communication systems because of the wide swaths of unused and unexplored spectrum. These frequencies also offer the potential for revolutionary applications that will be made possible by new thinking, and advances in devices, circuits, software, signal processing, and systems. This paper describes many of the technical challenges and opportunities for wireless communication and sensing applications above 100 GHz, and presents a number of promising discoveries, novel approaches, and recent results that will aid in the development and implementation of the sixth generation (6G) of wireless networks, and beyond. This paper shows recent regulatory and standard body rulings that are anticipating wireless products and services above 100 GHz and illustrates the viability of wireless cognition, hyper-accurate position location, sensing, and imaging. This paper also presents approaches and results that show how long distance mobile communications will be supported to above 800 GHz since the antenna gains are able to overcome air-induced attenuation, and present methods that reduce the computational complexity and simplify the signal processing used in adaptive antenna arrays, by exploiting the Special Theory of Relativity to create a cone of silence in over-sampled antenna arrays that improve performance for digital phased array antennas. Also, new results that give insights into power efficient beam steering algorithms, and new propagation and partition loss models above 100 GHz are given, and promising imaging, array processing, and position location results are presented. The implementation of spatial consistency at THz frequencies, an important component of channel modeling that considers minute changes and correlations over space, is also discussed. This paper offers the first in-depth look at the vast applications of THz wireless products and applications and provides approaches for how to reduce power and increase performance across several problem domains, giving early evidence that THz techniques are compelling and available for future wireless communications.
HtrA2 Regulates β-Amyloid Precursor Protein (APP) Metabolism through Endoplasmic Reticulum-associated Degradation (2007)

Alzheimer disease-associated beta-amyloid peptide is generated from its precursor protein APP. By using the yeast two-hybrid assay, here we identified HtrA2/Omi, a stress-responsive chaperone-protease as a protein binding to the N-terminal cysteinerich region of APP. HtrA2 coimmunoprecipitates exclusively with immature APP from cell lysates as well as mouse brain extracts and degrades APP in vitro. A subpopulation of HtrA2 localizes to the cytosolic side of the endoplasmic reticulum (ER) membrane where it contributes to ER-associated degradation of APP together with the proteasome. Inhibition of the proteasome results in accumulation of retrotranslocated forms of APP and increased association of APP with HtrA2 and Derlin-1 in microsomal membranes. In cells lacking HtrA2, APP holoprotein is stabilized and accumulates in the early secretory pathway correlating with elevated levels of APP C-terminal fragments and increased Abeta secretion. Inhibition of ER-associated degradation (either HtrA2 or proteasome) promotes binding of APP to the COPII protein Sec23 suggesting enhanced trafficking of APP out of the ER. Based on these results we suggest a novel function for HtrA2 as a regulator of APP metabolism through ER-associated degradation.
International Laboratory Comparison of Influenza Microneutralization Assays for A(H1N1)pdm09, A(H3N2), and A(H5N1) Influenza Viruses by CONSISE (2015)

The microneutralization assay is commonly used to detect antibodies to influenza virus, and multiple protocols are used worldwide. These protocols differ in the incubation time of the assay as well as in the order of specific steps, and even within protocols there are often further adjustments in individual laboratories. The impact these protocol variations have on influenza serology data is unclear. Thus, a laboratory comparison of the 2-day enzyme-linked immunosorbent assay (ELISA) and 3-day hemagglutination (HA) microneutralization (MN) protocols, using A(H1N1)pdm09, A(H3N2), and A(H5N1) viruses, was performed by the CONSISE Laboratory Working Group. Individual laboratories performed both assay protocols, on multiple occasions, using different serum panels. Thirteen laboratories from around the world participated. Within each laboratory, serum sample titers for the different assay protocols were compared between assays to determine the sensitivity of each assay and were compared between replicates to assess the reproducibility of each protocol for each laboratory. There was good correlation of the results obtained using the two assay protocols in most laboratories, indicating that these assays may be interchangeable for detecting antibodies to the influenza A viruses included in this study. Importantly, participating laboratories have aligned their methodologies to the CONSISE consensus 2-day ELISA and 3-day HA MN assay protocols to enable better correlation of these assays in the future.