The Mycobacterium tuberculosis regulatory network and hypoxia.
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Abstract | We have taken the first steps towards a complete reconstruction of the Mycobacterium tuberculosis regulatory network based on ChIP-Seq and combined this reconstruction with system-wide profiling of messenger RNAs, proteins, metabolites and lipids during hypoxia and re-aeration. Adaptations to hypoxia are thought to have a prominent role in M. tuberculosis pathogenesis. Using ChIP-Seq combined with expression data from the induction of the same factors, we have reconstructed a draft regulatory network based on 50 transcription factors. This network model revealed a direct interconnection between the hypoxic response, lipid catabolism, lipid anabolism and the production of cell wall lipids. As a validation of this model, in response to oxygen availability we observe substantial alterations in lipid content and changes in gene expression and metabolites in corresponding metabolic pathways. The regulatory network reveals transcription factors underlying these changes, allows us to computationally predict expression changes, and indicates that Rv0081 is a regulatory hub. |
Year of Publication | 2013
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Journal | Nature
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Volume | 499
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Issue | 7457
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Pages | 178-83
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Date Published | 2013 Jul 11
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ISSN | 1476-4687
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URL | |
DOI | 10.1038/nature12337
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PubMed ID | 23823726
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PubMed Central ID | PMC4087036
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Grant list | T32 AI007509 / AI / NIAID NIH HHS / United States
R01 AI071155 / AI / NIAID NIH HHS / United States
U19 AI 076217 / AI / NIAID NIH HHS / United States
HHSN272200800059C / PHS HHS / United States
U19 AI076217 / AI / NIAID NIH HHS / United States
R01 AI 071155 / AI / NIAID NIH HHS / United States
HHSN272200800059C / AI / NIAID NIH HHS / United States
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