Twitter Based Information Extraction

In the modern world of social media dominance, the microblogs like Twitter and Facebook are probably the best source of up-to-date information. The amount of information available on these platforms is huge, although most of it is unstructured and redundant which makes our task of extracting information from it much more challenging. This automatic extraction of information from noisy sources has opened up new opportunities for querying and analyzing data. This paper is a review of the research that has been done on extracting information like event dates [1] and classification of information from social networking platforms like Twitter. We present a brief study of the work which shows that extracting useful information from Twitter and other social media platforms is indeed feasible. We provide brief study about the extraction techniques applied by the applications based on this subject like the extraction tasks and the input exploited for extraction, the types of methods of extraction used and the type of output produced

Rapid deacetylation of yeast Hsp70 mediates the cellular response to heat stress

Hsp70 is a highly conserved molecular chaperone critical for the folding of new and denatured proteins. While traditional models state that cells respond to stress by upregulating inducible HSPs, this response is relatively slow and is limited by transcriptional and translational machinery. Recent studies have identified a number of post-translational modifications (PTMs) on Hsp70 that act to fine-tune its function. We utilized mass spectrometry to determine whether yeast Hsp70 (Ssa1) is differentially modified upon heat shock. We uncovered four lysine residues on Ssa1, K86, K185, K354 and K562 that are deacetylated in response to heat shock. Mutation of these sites cause a substantial remodeling of the Hsp70 interaction network of co-chaperone partners and client proteins while preserving essential chaperone function. Acetylation/deacetylation at these residues alter expression of other heat-shock induced chaperones as well as directly influencing Hsf1 activity. Taken together our data suggest that cells may have the ability to respond to heat stress quickly though Hsp70 deacetylation, followed by a slower, more traditional transcriptional response

PDBe-KB: a community-driven resource for structural and functional annotations.

The Protein Data Bank in Europe-Knowledge Base (PDBe-KB, https://pdbe-kb.org) is a community-driven, collaborative resource for literature-derived, manually curated and computationally predicted structural and functional annotations of macromolecular structure data, contained in the Protein Data Bank (PDB). The goal of PDBe-KB is two-fold: (i) to increase the visibility and reduce the fragmentation of annotations contributed by specialist data resources, and to make these data more findable, accessible, interoperable and reusable (FAIR) and (ii) to place macromolecular structure data in their biological context, thus facilitating their use by the broader scientific community in fundamental and applied research. Here, we describe the guidelines of this collaborative effort, the current status of contributed data, and the PDBe-KB infrastructure, which includes the data exchange format, the deposition system for added value annotations, the distributable database containing the assembled data, and programmatic access endpoints. We also describe a series of novel web-pages-the PDBe-KB aggregated views of structure data-which combine information on macromolecular structures from many PDB entries. We have recently released the first set of pages in this series, which provide an overview of available structural and functional information for a protein of interest, referenced by a UniProtKB accession

Role of β-Catenin in Post-Meiotic Male Germ Cell Differentiation

Though roles of β-catenin signaling during testis development have been well established, relatively little is known about its role in postnatal testicular physiology. Even less is known about its role in post-meiotic germ cell development and differentiation. Here, we report that β-catenin is highly expressed in post-meiotic germ cells and plays an important role during spermiogenesis in mice. Spermatid-specific deletion of β-catenin resulted in significantly reduced sperm count, increased germ cell apoptosis and impaired fertility. In addition, ultrastructural studies show that the loss of β-catenin in post-meiotic germ cells led to acrosomal defects, anomalous release of immature spermatids and disruption of adherens junctions between Sertoli cells and elongating spermatids (apical ectoplasmic specialization; ES). These defects are likely due to altered expression of several genes reportedly involved in Sertoli cell-germ cell adhesion and germ cell differentiation, as revealed by gene expression analysis. Taken together, our results suggest that β-catenin is an important molecular link that integrates Sertoli cell-germ cell adhesion with the signaling events essential for post-meiotic germ cell development and maturation. Since β-catenin is also highly expressed in the Sertoli cells, we propose that binding of germ cell β-catenin complex to β-catenin complex on Sertoli cell at the apical ES surface triggers a signaling cascade that regulates post-meiotic germ cell differentiation

A Tool to Predict Surgical Outcomes

BackgroundIncreased scrutiny and the need to institute a truly patient centered approach to surgical care has motivated the growing interest in measuring the quality of surgical care through comparative surgical audit. This study aimed to assess the validity of the POSSUM (Physiological and Operative Severity Score for enumeration of Mortality and Morbidity) and P-POSSUM (Portsmouth-POSSUM) score in predicting the risk of morbidity and mortality respectively in general surgical patients presenting with conditions of various operative severities at a tertiary care centre in Haryana, a northern state of India.Method  A prospective study was performed in 100 general surgical patients including an equal number of patients in each of the four groups of operative severity i.e. minor, moderate, major, major plus. The risks of mortality and morbidity were calculated by using the POSSUM equation for morbidity and the P-POSSUM equation for mortality in each patient. The predicted risks were compared with the observed risks of mortality and morbidity and statistically analysed.ResultsThe difference in p value of predicted risk of morbidity by POSSUM equation and observed morbidity; calculated by chi square test was 0.756 which was not statistically significant. The difference in p value of predicted mortality by P-POSSUM equation and observed mortality; calculated by chi square test was 0.472 which was also not statistically significant.ConclusionPOSSUM and P-POSSUM appear to be good and valid indices for use in the risk prediction of morbidity and mortality in the north Indian population