CAP: conformation angles package-displaying the conformation angles of side chains in proteins

SUMMARY: A graphics package has been developed to display all side chain conformation angles of the user selected residue in a given protein structure. The proposed package is incorporated with all the protein structures (solved using X-ray diffraction and NMR spectroscopy) available in the Protein Data Bank. The package displays the multiple conformations adopted by a single amino acid residue whose structure is solved and refined at very high resolution. In addition, it shows the percentage distribution of the side chain conformation angles in different rotameric states. AVAILABILITY: http://144.16.71.146/cap/     

Systematic Cell-Based Phenotyping of Missense Alleles Empowers Rare Variant Association Studies: A Case for LDLR and Myocardial Infarction

A fundamental challenge to contemporary genetics is to distinguish rare missense alleles that disrupt protein functions from the majority of alleles neutral on protein activities. High-throughput experimental tools to securely discriminate between disruptive and non-disruptive missense alleles are currently missing. Here we establish a scalable cell-based strategy to profile the biological effects and likely disease relevance of rare missense variants in vitro. We apply this strategy to systematically characterize missense alleles in the low-density lipoprotein receptor (LDLR) gene identified through exome sequencing of 3,235 individuals and exome-chip profiling of 39,186 individuals. Our strategy reliably identifies disruptive missense alleles, and disruptive-allele carriers have higher plasma LDL-cholesterol (LDL-C). Importantly, considering experimental data refined the risk of rare LDLR allele carriers from 4.5- to 25.3-fold for high LDL-C, and from 2.1- to 20-fold for early-onset myocardial infarction. Our study generates proof-of-concept that systematic functional variant profiling may empower rare variant-association studies by orders of magnitude.     

Lentiviral vector-mediated expression of GFP or Kir2.1 alters the electrophysiology of neonatal rat ventricular myocytes without inducing cytotoxicity

Recombinant lentiviral vectors (LVs) are capable of transducing neonatal rat ventricular myocytes (NRVMs) and providing stable, long-term transgene expression. The goal of the present study was to comprehensively test whether transduction of NRVMs by LVs results in cytotoxicity and to examine the electrophysiological consequences of gene modification of NRVM monolayers by two vectors: one encoding a putatively inert enhanced green fluorescent protein (eGFP) and the other a major ion channel protein, inward rectifier K(+) channel (Kir) 2.1. Freshly isolated NRVMs were transduced and cultured in monolayers. Immunohistochemistry, Trypan blue exclusion, annexin V binding followed by flow cytometry (FCM), and terminal transferase dUTP nick-end labeling assays were performed to assess for cytotoxicity. Optical mapping studies of action potential propagation in NRVM monolayers were performed to characterize the electrophysiological alterations following transduction. The cytotoxicity assays revealed that transduction had no adverse effects on NRVM cultures. However, eGFP-transduced monolayers exhibited a decrease in conduction velocity (CV) and action potential duration (APD) compared with monolayers transduced with LVs encoding LacZ or devoid of a transgene. In addition, small interfering RNA-mediated knockdown of eGFP expression corrected this phenotype. In contrast, Kir2.1 gene-modified monolayers showed an increase in CV and a predictable decrease in APD. This study demonstrates that LVs transduce NRVMs without cytotoxic effects. However, eGFP has a significant effect on APD and CV in this experimental system and calls into question the widely held belief that GFP is physiologically inert. In addition, LV-mediated overexpression of Kir2.1 opens up the prospect of studying the functional role of inward rectifier K(+) current in cardiac arrhythmias.     

Detection of proteins and bacteria using an array of feedback capacitance sensors

An integrated array of micron-dimension capacitors, originally developed for biometric applications (fingerprint identification), was engineered for detection of biological agents such as proteins and bacteria. This device consists of an array of 93,184 (256 x 364) individual capacitor-based sensing elements located underneath a thin (0.8 microm) layer of glass. This glass layer can be functionalized with organosilane-based monolayers to provide groups amenable for the immobilization of bioreceptors such as antibodies, enzymes, peptides, aptamers, and nucleotides. Upon functionalization with antibodies and in conjunction with signal amplification schemes that result in perturbation of the dielectric constant around the captured antigens, this system can be used as a detector of biological agents. Two signal amplification schemes were tested in this work: one consisted of 4 microm diameter latex immunobeads and a second one was based on colloidal gold catalyzed reduction of silver. These signal amplification approaches were demonstrated and show that this system is capable of specific detection of bacteria (Escherichia coli) and proteins (ovalbumin). The present work shows proof-of-principle demonstration that a simple fingerprint detector based on feedback capacitance measurements can be implemented as a biosensor. The approach presented could be easily expanded to simultaneously test for a large number of analytes and multiple samples given that this device has a large number of detectors. The device and required instrumentation is highly portable and does not require expensive and bulky instrumentation because it relies purely on electronic detection.     

Ramachandran plot on the web (2.0)

The Ramachandran plot displays the main chain conformation angles (Phi and Psi) of the polypeptide chain of a protein molecule. The paper reports the updated version of the Ramachandran plot web server and has several improved options for displaying the conformation angles in various regions. In addition, options are provided to display the conformation angles in various secondary structural elements and regions within the user specified Phi and Psi values in the plot. The updated version is accessible at the following URL: http://dicsoft1.physics.iisc.ernet.in/rp/.     

A systems biology approach to model neural stem cell regulation by notch, shh, wnt, and EGF signaling pathways

The Notch, Sonic Hedgehog (Shh), Wnt, and EGF pathways have long been known to influence cell fate specification in the developing nervous system. Here we attempted to evaluate the contemporary knowledge about neural stem cell differentiation promoted by various drug-based regulations through a systems biology approach. Our model showed the phenomenon of DAPT-mediated antagonism of Enhancer of split [E(spl)] genes and enhancement of Shh target genes by a SAG agonist that were effectively demonstrated computationally and were consistent with experimental studies. However, in the case of model simulation of Wnt and EGF pathways, the model network did not supply any concurrent results with experimental data despite the fact that drugs were added at the appropriate positions. This paves insight into the potential of crosstalks between pathways considered in our study. Therefore, we manually developed a map of signaling crosstalk, which included the species connected by representatives from Notch, Shh, Wnt, and EGF pathways and highlighted the regulation of a single target gene, Hes-1, based on drug-induced simulations. These simulations provided results that matched with experimental studies. Therefore, these signaling crosstalk models complement as a tool toward the discovery of novel regulatory processes involved in neural stem cell maintenance, proliferation, and differentiation during mammalian central nervous system development. To our knowledge, this is the first report of a simple crosstalk map that highlights the differential regulation of neural stem cell differentiation and underscores the flow of positive and negative regulatory signals modulated by drugs.     

Testing for an unusual distribution of rare variants

Technological advances make it possible to use high-throughput sequencing as a primary discovery tool of medical genetics, specifically for assaying rare variation. Still this approach faces the analytic challenge that the influence of very rare variants can only be evaluated effectively as a group. A further complication is that any given rare variant could have no effect, could increase risk, or could be protective. We propose here the C-alpha test statistic as a novel approach for testing for the presence of this mixture of effects across a set of rare variants. Unlike existing burden tests, C-alpha, by testing the variance rather than the mean, maintains consistent power when the target set contains both risk and protective variants. Through simulations and analysis of case/control data, we demonstrate good power relative to existing methods that assess the burden of rare variants in individuals.     

Junker: An Intergenic Explorer for Bacterial Genomes

In the past few decades, scientists from all over the world have taken a keen interest in novel functional units such as small regulatory RNAs, small open reading frames, pseudogenes, transposons, integrase binding attB/attP sites, repeat elements within the bacterial intergenic regions (IGRs) and in the analysis of those junk regions for ge- nomic complexity. Here we have developed a web server, named Junker, to facilitate the in-depth analysis of IGRs for examining their length distribution, four-quadrant...