Institution
Institute for Systems Biology
Nonprofit•Seattle, Washington, United States•
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.
Topics: Population, Proteomics, Gene, Proteome, Systems biology
Papers published on a yearly basis
Papers
More filters
••
TL;DR: It is found that Bur1 phosphorylates the Spt5 C-terminal repeat domain (CTD) both in vivo and in isolated elongation complexes in vitro.
Abstract: The Saccharomyces cerevisiae kinase Bur1 is involved in coupling transcription elongation to chromatin modification, but not all important Bur1 targets in the elongation complex are known. Using a chemical genetics strategy wherein Bur1 kinase was engineered to be regulated by a specific inhibitor, we found that Bur1 phosphorylates the Spt5 C-terminal repeat domain (CTD) both in vivo and in isolated elongation complexes in vitro. Deletion of the Spt5 CTD or mutation of the Spt5 serines targeted by Bur1 reduces recruitment of the PAF complex, which functions to recruit factors involved in chromatin modification and mRNA maturation to elongating polymerase II (Pol II). Deletion of the Spt5 CTD showed the same defect in PAF recruitment as rapid inhibition of Bur1 kinase activity, and this Spt5 mutation led to a decrease in histone H3K4 trimethylation. Brief inhibition of Bur1 kinase activity in vivo also led to a significant decrease in phosphorylation of the Pol II CTD at Ser-2, showing that Bur1 also contributes to Pol II Ser-2 phosphorylation. Genetic results suggest that Bur1 is essential for growth because it targets multiple factors that play distinct roles in transcription.
191 citations
••
TL;DR: In this article, the DNA binding and transcriptional profile of 80% of all predicted M. tuberculosis transcription factors were reported, and wide-spread dormant DNA binding was found across all predicted transcription factors.
Abstract: Adaptation of Mycobacterium tuberculosis to the host environment is principally mediated through its transcription factors. Here, the authors report the DNA binding and transcriptional profile of ~80% of all predicted M. tuberculosis transcription factors, and find wide-spread dormant DNA binding.
191 citations
••
TL;DR: These studies localize flagellin recognition to a conserved surface on the modeled TLR5 structure, providing detailed analysis of the interaction of a TLR with its ligand and suggest that ligand binding at the β sheets results in TLR activation and provide a new framework for understanding TLR–agonist interactions.
Abstract: The molecular basis for Toll-like receptor (TLR) recognition of microbial ligands is unknown. We demonstrate that mouse and human TLR5 discriminate between different flagellins, and we use this difference to map the flagellin recognition site on TLR5 to 228 amino acids of the extracellular domain. Through molecular modeling of the TLR5 ectodomain, we identify two conserved surface-exposed regions. Mutagenesis studies demonstrate that naturally occurring amino acid variation in TLR5 residue 268 is responsible for human and mouse discrimination between flagellin molecules. Mutations within one conserved surface identify residues D295 and D367 as important for flagellin recognition. These studies localize flagellin recognition to a conserved surface on the modeled TLR5 structure, providing detailed analysis of the interaction of a TLR with its ligand. These findings suggest that ligand binding at the β sheets results in TLR activation and provide a new framework for understanding TLR–agonist interactions.
191 citations
••
TL;DR: It is shown that the proteolysis of some transcriptional activators by the UPS can stimulate their function, and inhibition of the proteasome reduced transcription of the targets of the activators Gcn4, Gal4 and Ino2/4.
Abstract: The ubiquitin-proteasome system (UPS) promotes the destruction of target proteins by attaching to them a ubiquitin chain that is recognized by the 26S proteasome. The UPS influences most cellular processes, and its targets include transcriptional activators that are primary determinants of gene expression. Emerging evidence indicates that non-proteolytic functions of the UPS might stimulate transcriptional activity. Here we show that the proteolysis of some transcriptional activators by the UPS can stimulate their function. We focused on the role of UPS-dependent proteolysis in the function of inducible transcriptional activators in yeast, and found that inhibition of the proteasome reduced transcription of the targets of the activators Gcn4, Gal4 and Ino2/4. In addition, mutations in SCF(Cdc4), the ubiquitin ligase for Gcn4 (ref. 5), or mutations in ubiquitin that prevent degradation, also impaired the transcription of Gcn4 targets. These transcriptional defects were manifested despite the enhanced abundance of Gcn4 on cognate promoters. Proteasome inhibition also decreased the association of RNA polymerase II with Gcn4, Gal4 and Ino2/4 targets, as did mutations in SCF(Cdc4) for Gcn4 targets. Expression of a stable phospho-site mutant of Gcn4 (ref. 7) or disruption of the kinases that target Gcn4 for turnover alleviated the sensitivity of Gcn4 activity to defects in the UPS.
190 citations
••
TL;DR: SpecArray as discussed by the authors is a software suite that generates a peptide versus sample array from a set of LC-MS data, storing the relative abundance of thousands of peptide features in many samples and is in a format identical to that of a gene expression microarray.
190 citations
Authors
Showing all 1292 results
Name | H-index | Papers | Citations |
---|---|---|---|
Younan Xia | 216 | 943 | 175757 |
Ruedi Aebersold | 182 | 879 | 141881 |
David Haussler | 172 | 488 | 224960 |
Steven P. Gygi | 172 | 704 | 129173 |
Nahum Sonenberg | 167 | 647 | 104053 |
Leroy Hood | 158 | 853 | 128452 |
Mark H. Ellisman | 117 | 637 | 55289 |
Wei Zhang | 112 | 1189 | 93641 |
John Ralph | 109 | 442 | 39238 |
Eric H. Davidson | 106 | 454 | 47058 |
James R. Heath | 103 | 425 | 58548 |
Alan Aderem | 99 | 246 | 46682 |
Anne-Claude Gingras | 97 | 336 | 40714 |
Trey Ideker | 97 | 306 | 72276 |
Michael H. Gelb | 94 | 506 | 34714 |