Evidence map›Paper›PMID 25977815›Full record

ArticleScientific data2015

A comprehensive map of genome-wide gene regulation in Mycobacterium tuberculosis.

Serdar Turkarslan, Eliza J R Peterson, Tige R Rustad, Kyle J Minch, David J Reiss, Robert Morrison, Shuyi Ma, Nathan D Price, David R Sherman, Nitin S Baliga

Open access · goldAbstract readDataset
In one paragraph

Article in Scientific data, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

38 citing papers in PubMed, 67 citations in OpenAlex.

  1. Article
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  7. Comparative transcriptomic signatures of virulent and attenuatedFrontiers in cellular and infection microbiology · 2025
    Article
  8. Predicting fitness inFrontiers in tuberculosis · 2025
    Article
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  18. Mycobacterial fatty acid catabolism is repressed by FdmR to sustain lipogenesis and virulence.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  19. Review
  20. Review
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

10 authors at 2 institutions in 1 country.

Serdar TurkarslanInstitute for Systems Biology , Seattle, Washington 98109, USA.
Eliza J R PetersonInstitute for Systems Biology , Seattle, Washington 98109, USA.
Tige R RustadSeattle Biomedical Research Institute , Seattle, Washington 98109, USA ; Interdisciplinary Program of Pathobiology, Department of Global Health, University of Washington , Seattle, Washington 98195, USA.
Kyle J MinchSeattle Biomedical Research Institute , Seattle, Washington 98109, USA.
David J ReissInstitute for Systems Biology , Seattle, Washington 98109, USA.
Robert MorrisonSeattle Biomedical Research Institute , Seattle, Washington 98109, USA.
Shuyi MaInstitute for Systems Biology , Seattle, Washington 98109, USA ; Seattle Biomedical Research Institute , Seattle, Washington 98109, USA ; Department of Chemical and Biomolecular Engineering, University of Illinois , Urbana, Illinois 61801, USA.
Nathan D PriceInstitute for Systems Biology , Seattle, Washington 98109, USA.
David R ShermanSeattle Biomedical Research Institute , Seattle, Washington 98109, USA ; Interdisciplinary Program of Pathobiology, Department of Global Health, University of Washington , Seattle, Washington 98195, USA ; Molecular and Cellular Biology Program, University of Washington , Seattle, Washington 98195, USA.
Nitin S BaligaInstitute for Systems Biology , Seattle, Washington 98109, USA ; Molecular and Cellular Biology Program, University of Washington , Seattle, Washington 98195, USA ; Departments of Biology and Microbiology, University of Washington , Seattle, Washington 98195, USA ; Lawrence Berkeley National Lab , Berkeley, California 94720, USA.
Center for Infectious Disease Research · USInstitute for Systems Biology · US

Funding

Quantitative Systems BiologyP50GM076547 · NIGMS · INSTITUTE FOR SYSTEMS BIOLOGY · PI DUDLEY, AIMEE M · 2006 to 2016
$30.6M
Technology CoreU19AI106761 · NIAID · SEATTLE BIOMEDICAL RESEARCH INSTITUTE · PI ADEREM, ALAN A, SHERMAN, DAVID R · 2013 to 2017
$18.9M
Diseases of Public Health Importance Training GrantT32AI007509 · NIAID · UNIVERSITY OF WASHINGTON · PI LUND, JENNIFER M · 1997 to 2024
$6.3M
NIAID NIH HHS HHSN272200800059CNIAID NIH HHS T32 AI007509NIAID NIH HHS T32AI007509.NIAID NIH HHS U19 AI106761NIGMS NIH HHS 2P50GM076547NIGMS NIH HHS P50 GM076547PHS HHS HHSN272200800059C
6 · The paper itself

Abstract

Mycobacterium tuberculosis (MTB) is a pathogenic bacterium responsible for 12 million active cases of tuberculosis (TB) worldwide. The complexity and critical regulatory components of MTB pathogenicity are still poorly understood despite extensive research efforts. In this study, we constructed the first systems-scale map of transcription factor (TF) binding sites and their regulatory target proteins in MTB. We constructed FLAG-tagged overexpression constructs for 206 TFs in MTB, used ChIP-seq to identify genome-wide binding events and surveyed global transcriptomic changes for each overexpressed TF. Here we present data for the most comprehensive map of MTB gene regulation to date. We also define elaborate quality control measures, extensive filtering steps, and the gene-level overlap between ChIP-seq and microarray datasets. Further, we describe the use of TF overexpression datasets to validate a global gene regulatory network model of MTB and describe an online source to explore the datasets.

Indexed as

Gene Expression Regulation, BacterialGenome, BacterialBacterial ProteinsBinding SitesGene Expression ProfilingModels, GeneticMycobacterium tuberculosisTranscription FactorsBacterial ProteinsTranscription Factors

Identifiers

PMID25977815
PMCPMC4413241
OpenAlexW2237142366

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.