<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Chauhan R</submitter><funding>NIAID NIH HHS</funding><funding>NHLBI NIH HHS</funding><funding>NIGMS NIH HHS</funding><pagination>11062</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC4821874</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>7</volume><pubmed_abstract>Accessory sigma factors, which reprogram RNA polymerase to transcribe specific gene sets, activate bacterial adaptive responses to noxious environments. Here we reconstruct the complete sigma factor regulatory network of the human pathogen Mycobacterium tuberculosis by an integrated approach. The approach combines identification of direct regulatory interactions between M. tuberculosis sigma factors in an E. coli model system, validation of selected links in M. tuberculosis, and extensive literature review. The resulting network comprises 41 direct interactions among all 13 sigma factors. Analysis of network topology reveals (i) a three-tiered hierarchy initiating at master regulators, (ii) high connectivity and (iii) distinct communities containing multiple sigma factors. These topologica</pubmed_abstract><journal>Nature communications</journal><pubmed_title>Reconstruction and topological characterization of the sigma factor regulatory network of Mycobacterium tuberculosis.</pubmed_title><pmcid>PMC4821874</pmcid><funding_grant_id>R21 AI095924</funding_grant_id><funding_grant_id>GM096189</funding_grant_id><funding_grant_id>R01 GM096189</funding_grant_id><funding_grant_id>HL106788</funding_grant_id><funding_grant_id>AI095924</funding_grant_id><funding_grant_id>R01 HL106788</funding_grant_id><pubmed_authors>Chauhan R</pubmed_authors><pubmed_authors>Datta P</pubmed_authors><pubmed_authors>Schnappinger D</pubmed_authors><pubmed_authors>Gennaro ML</pubmed_authors><pubmed_authors>Ravi J</pubmed_authors><pubmed_authors>Balazsi G</pubmed_authors><pubmed_authors>Chen T</pubmed_authors><pubmed_authors>Bassler KE</pubmed_authors></additional><is_claimable>false</is_claimable><name>Reconstruction and topological characterization of the sigma factor regulatory network of Mycobacterium tuberculosis.</name><description>Accessory sigma factors, which reprogram RNA polymerase to transcribe specific gene sets, activate bacterial adaptive responses to noxious environments. Here we reconstruct the complete sigma factor regulatory network of the human pathogen Mycobacterium tuberculosis by an integrated approach. The approach combines identification of direct regulatory interactions between M. tuberculosis sigma factors in an E. coli model system, validation of selected links in M. tuberculosis, and extensive literature review. The resulting network comprises 41 direct interactions among all 13 sigma factors. Analysis of network topology reveals (i) a three-tiered hierarchy initiating at master regulators, (ii) high connectivity and (iii) distinct communities containing multiple sigma factors. These topologica</description><dates><release>2016-01-01T00:00:00Z</release><publication>2016 Mar</publication><modification>2025-04-26T02:15:49.314Z</modification><creation>2019-03-27T03:11:16Z</creation></dates><accession>S-EPMC4821874</accession><cross_references><pubmed>27029515</pubmed><doi>10.1038/ncomms11062</doi></cross_references></HashMap>