The Mycobacterium tuberculosis regulatory network and hypoxia.
The Mycobacterium tuberculosis regulatory network and hypoxia.
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DOI：
10.1038/nature12337
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发表时间：
2013-07-11
期刊：
影响因子：
64.8
通讯作者：
Schoolnik, Gary K.
中科院分区：
文献类型：
--
作者：
Galagan, James E.;Minch, Kyle;Peterson, Matthew;Lyubetskaya, Anna;Azizi, Elham;Sweet, Linsday;Gomes, Antonio;Rustad, Tige;Dolganov, Gregory;Glotova, Irina;Abeel, Thomas;Mahwinney, Chris;Kennedy, Adam D.;Allard, Rene;Brabant, William;Krueger, Andrew;Jaini, Suma;Honda, Brent;Yu, Wen-Han;Hickey, Mark J.;Zucker, Jeremy;Garay, Christopher;Weiner, Brian;Sisk, Peter;Stolte, Christian;Winkler, Jessica K.;Van de Peer, Yves;Iazzetti, Paul;Camacho, Diogo;Dreyfuss, Jonathan;Liu, Yang;Dorhoi, Anca;Mollenkopf, Hans-Joachim;Drogaris, Paul;Lamontagne, Julie;Zhou, Yiyong;Piquenot, Julie;Park, Sang Tae;Raman, Sahadevan;Kaufmann, Stefan H. E.;Mohney, Robert P.;Chelsky, Daniel;Moody, D. Branch;Sherman, David R.;Schoolnik, Gary K.
我们已经迈出了基于ChIP-Seq的结核分枝杆菌调控网络完整重建的第一步，并将此重建与缺氧和再通气期间信使RNA，蛋白质，代谢物和脂质的全系统分析相结合。缺氧适应被认为在M.结核病发病机制使用ChIP-Seq结合诱导相同因子的表达数据，我们重建了基于50个转录因子的调控网络草案。该网络模型揭示了缺氧反应、脂质代谢、脂质拮抗和细胞壁脂质产生之间的直接联系。作为该模型的验证，在响应氧的可用性，我们观察到大量的脂质含量的变化和相应的代谢途径中的基因表达和代谢物的变化。调控网络揭示了这些变化背后的转录因子，使我们能够通过计算预测表达变化，并表明Rv 0081是一个调控中心。
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.
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影响因子：
4.8
作者：
Domenech, P;Reed, MB;Barry, CE
通讯作者：
Barry, CE
影响因子：
14.8
作者：
Cho, Byung-Kwan;Federowicz, Stephen;Park, Young-Seoub;Zengler, Karsten;Palsson, Bernhard O.
通讯作者：
Palsson, Bernhard O.
DOI：
10.1073/pnas.0913551107
发表时间：
2010-03-16
影响因子：
11.1
作者：
Gordon, Blair R. G.;Li, Yifei;Liu, Jun
通讯作者：
Liu, Jun
影响因子：
3.2
作者：
Chang, Jennifer C.;Miner, Maurine D.;Sherman, David R.
通讯作者：
Sherman, David R.
APRABC：结核分枝杆菌的复杂特异性基因座，可调节pH驱动的巨噬细胞吞噬体。
影响因子：
3.6
作者：
Abramovitch RB;Rohde KH;Hsu FF;Russell DG
通讯作者：
Russell DG