Institute for Systems Biology

About: Institute for Systems Biology is a nonprofit organization based out in Seattle, Washington, United States. It is known for research contribution in the topics: Population & Proteomics. The organization has 1277 authors who have published 2777 publications receiving 353165 citations.

Modular organization of cellular networks

Abstract: We investigated the organization of interacting proteins and protein complexes into networks of modules. A network-clustering method was developed to identify modules. This method of network-structure determination was validated by clustering known signaling-protein modules and by identifying module rudiments in exclusively high-throughput protein-interaction data with high error frequencies and low coverage. The signaling network controlling the yeast developmental transition to a filamentous form was clustered. Abstraction of a modular network-structure model identified module-organizer proteins and module-connector proteins. The functions of these proteins suggest that they are important for module function and intermodule communication.

Rare coding variants in PLCG2, ABI3, and TREM2 implicate microglial-mediated innate immunity in Alzheimer's disease

Abstract: We identified rare coding variants associated with Alzheimer's disease in a three-stage case–control study of 85,133 subjects. In stage 1, we genotyped 34,174 samples using a whole-exome microarray. In stage 2, we tested associated variants (P < 1 × 10−4) in 35,962 independent samples using de novo genotyping and imputed genotypes. In stage 3, we used an additional 14,997 samples to test the most significant stage 2 associations (P < 5 × 10−8) using imputed genotypes. We observed three new genome-wide significant nonsynonymous variants associated with Alzheimer's disease: a protective variant in PLCG2 (rs72824905: p.Pro522Arg, P = 5.38 × 10−10, odds ratio (OR) = 0.68, minor allele frequency (MAF)cases = 0.0059, MAFcontrols = 0.0093), a risk variant in ABI3 (rs616338: p.Ser209Phe, P = 4.56 × 10−10, OR = 1.43, MAFcases = 0.011, MAFcontrols = 0.008), and a new genome-wide significant variant in TREM2 (rs143332484: p.Arg62His, P = 1.55 × 10−14, OR = 1.67, MAFcases = 0.0143, MAFcontrols = 0.0089), a known susceptibility gene for Alzheimer's disease. These protein-altering changes are in genes highly expressed in microglia and highlight an immune-related protein–protein interaction network enriched for previously identified risk genes in Alzheimer's disease. These genetic findings provide additional evidence that the microglia-mediated innate immune response contributes directly to the development of Alzheimer's disease.

A uniform proteomics MS/MS analysis platform utilizing open XML file formats.

Abstract: The analysis of tandem mass (MS/MS) data to identify and quantify proteins is hampered by the heterogeneity of file formats at the raw spectral data, peptide identification, and protein identification levels. Different mass spectrometers output their raw spectral data in a variety of proprietary formats, and alternative methods that assign peptides to MS/MS spectra and infer protein identifications from those peptide assignments each write their results in different formats. Here we describe an MS/MS analysis platform, the Trans-Proteomic Pipeline, which makes use of open XML file formats for storage of data at the raw spectral data, peptide, and protein levels. This platform enables uniform analysis and exchange of MS/MS data generated from a variety of different instruments, and assigned peptides using a variety of different database search programs. We demonstrate this by applying the pipeline to data sets generated by ThermoFinnigan LCQ, ABI 4700 MALDI-TOF/TOF, and Waters Q-TOF instruments, and searched in turn using SEQUEST, Mascot, and COMET.

A systematic approach to the analysis of protein phosphorylation

Abstract: Reversible protein phosphorylation has been known for some time to control a wide range of biological functions and activities Thus determination of the site(s) of protein phosphorylation has been an essential step in the analysis of the control of many biological systems However, direct determination of individual phosphorylation sites occurring on phosphoproteins in vivo has been difficult to date, typically requiring the purification to homogeneity of the phosphoprotein of interest before analysis Thus, there has been a substantial need for a more rapid and general method for the analysis of protein phosphorylation in complex protein mixtures Here we describe such an approach to protein phosphorylation analysis It consists of three steps: (1) selective phosphopeptide isolation from a peptide mixture via a sequence of chemical reactions, (2) phosphopeptide analysis by automated liquid chromatography-tandem mass spectrometry (LC-MS/MS), and (3) identification of the phosphoprotein and the phosphorylated residue(s) by correlation of tandem mass spectrometric data with sequence databases By utilizing various phosphoprotein standards and a whole yeast cell lysate, we demonstrate that the method is equally applicable to serine-, threonine- and tyrosine-phosphorylated proteins, and is capable of selectively isolating and identifying phosphopeptides present in a highly complex peptide mixture

Innate immune detection of the type III secretion apparatus through the NLRC4 inflammasome

Abstract: The mammalian innate immune system uses Toll-like receptors (TLRs) and Nod-LRRs (NLRs) to detect microbial components during infection. Often these molecules work in concert; for example, the TLRs can stimulate the production of the proforms of the cytokines IL-1β and IL-18, whereas certain NLRs trigger their subsequent proteolytic processing via caspase 1. Gram-negative bacteria use type III secretion systems (T3SS) to deliver virulence factors to the cytosol of host cells, where they modulate cell physiology to favor the pathogen. We show here that NLRC4/Ipaf detects the basal body rod component of the T3SS apparatus (rod protein) from S. typhimurium (PrgJ), Burkholderia pseudomallei (BsaK), Escherichia coli (EprJ and EscI), Shigella flexneri (MxiI), and Pseudomonas aeruginosa (PscI). These rod proteins share a sequence motif that is essential for detection by NLRC4; a similar motif is found in flagellin that is also detected by NLRC4. S. typhimurium has two T3SS: Salmonella pathogenicity island-1 (SPI1), which encodes the rod protein PrgJ, and SPI2, which encodes the rod protein SsaI. Although PrgJ is detected by NLRC4, SsaI is not, and this evasion is required for virulence in mice. The detection of a conserved component of the T3SS apparatus enables innate immune responses to virulent bacteria through a single pathway, a strategy that is divergent from that used by plants in which multiple NB-LRR proteins are used to detect T3SS effectors or their effects on cells. Furthermore, the specific detection of the virulence machinery permits the discrimination between pathogenic and nonpathogenic bacteria.