Evidence map›Paper›PMID 23823726›Full record

ArticleNature2013

The Mycobacterium tuberculosis regulatory network and hypoxia.

James E Galagan, Kyle Minch, Matthew Peterson, Anna Lyubetskaya, Elham Azizi, Linsday Sweet, Antonio Gomes, Tige Rustad, Gregory Dolganov, Irina Glotova and 35 more

Open access · bronzeAbstract read
In one paragraph

Article in Nature, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 286 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
286citing papers in PubMed, 1 pooled it
25.9field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

286 citing papers in PubMed, 1 synthesis or guideline pooled it, 450 citations in OpenAlex.

  1. A Systematic Review on NovelFrontiers in immunology · 2018
    Pooled it
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  19. Article
  20. Review

226 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

45 authors at 10 institutions in 4 countries.

James E GalaganDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts 02215, USA. jgalag@bu.edu
Kyle Minch
Matthew Peterson
Anna Lyubetskaya
Elham Azizi
Linsday Sweet
Antonio Gomes
Tige Rustad
Gregory Dolganov
Irina Glotova
Thomas Abeel
Chris Mahwinney
Adam D Kennedy
René Allard
William Brabant
Andrew Krueger
Suma Jaini
Brent Honda
Wen-Han Yu
Mark J Hickey
Jeremy Zucker
Christopher Garay
Brian Weiner
Peter Sisk
Christian Stolte
Jessica K Winkler
Yves Van de Peer
Paul Iazzetti
Diogo Camacho
Jonathan Dreyfuss
Yang Liu
Anca Dorhoi
Hans-Joachim Mollenkopf
Paul Drogaris
Julie Lamontagne
Yiyong Zhou
Julie Piquenot
Sang Tae Park
Sahadevan Raman
Stefan H E Kaufmann
Robert P Mohney
Daniel Chelsky
D Branch Moody
David R Sherman
Gary K Schoolnik
Boston University · USCaprion (Canada) · CACenter for Infectious Disease Research · USBroad Institute · USMax Planck Institute for Infection Biology · DEStanford Medicine · USGhent University · BEHarvard University · USMetabolon (United States) · USUniversity of Massachusetts Boston · US

Funding

Real-time surveillance to support dynamic and predictive models of MDR/XDR TBU19AI076217 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI FARMER, PAUL EDWARD · 2007 to 2011
$13.5M
Diseases of Public Health Importance Training GrantT32AI007509 · NIAID · UNIVERSITY OF WASHINGTON · PI LUND, JENNIFER M · 1997 to 2024
$6.3M
Remodeling of the M. tuberculosis cell wall during infectionR01AI071155 · NIAID · BRIGHAM AND WOMEN'S HOSPITAL · PI MOODY, DAVID BRANCH · 2006 to 2010
$2.1M
NIAID NIH HHS HHSN272200800059CNIAID NIH HHS R01 AI 071155NIAID NIH HHS R01 AI071155NIAID NIH HHS T32 AI007509NIAID NIH HHS U19 AI 076217NIAID NIH HHS U19 AI076217
6 · The paper itself

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.

Indexed as

Gene Regulatory NetworksAdaptation, PhysiologicalBacterial ProteinsBinding SitesChromatin ImmunoprecipitationGene Expression ProfilingGenomicsHypoxiaLipid MetabolismMetabolic Networks and PathwaysModels, BiologicalMycobacterium tuberculosisOxygenProteolysisReproducibility of ResultsRNA, MessengerBacterial ProteinsOxygenRNA, MessengerTranscription Factors

Identifiers

PMID23823726
PMCPMC4087036
OpenAlexW2040694642

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.