Evidence map›Paper›PMID 29394395›Full record

ArticleNucleic acids research2018

Systems assessment of transcriptional regulation on central carbon metabolism by Cra and CRP.

Donghyuk Kim, Sang Woo Seo, Ye Gao, Hojung Nam, Gabriela I Guzman, Byung-Kwan Cho, Bernhard O Palsson

Open access · goldAbstract read
In one paragraph

Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
3.8field-weighted citation impact, top 5% 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

50 citing papers in PubMed, 104 citations in OpenAlex.

  1. Review
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  6. A systems-level atlas of carbon-response transcriptional states inProceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  7. Article
  8. Review
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  10. Cytoplasmic MgProceedings of the National Academy of Sciences of the United States of America · 2025
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  14. Review
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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

7 authors at 5 institutions in 3 countries.

Donghyuk KimDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA.
Sang Woo SeoDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA.
Ye GaoDivision of Biological Science, University of California, San Diego, La Jolla, CA 92093, USA.
Hojung NamSchool of Information and Communication, Gwangju Institute of Science and Technology, 123 Cheomdan-gwagiro, Buk-gu, Gwangju, Republic of Korea.
Gabriela I GuzmanDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA.
Byung-Kwan ChoDepartment of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea.
Bernhard O PalssonDepartment of Bioengineering, University of California, San Diego, La Jolla, CA 92093, USA.
University of California, San Diego · USGwangju Institute of Science and Technology · KRKyung Hee University · KRNovo Nordisk Foundation · DKSeoul National University · KR

Funding

Multiscale Molecular Systems Biology: Reconstruction and Model OptimizationU01GM102098 · NIGMS · STANFORD UNIVERSITY · PI SAUNDERS, MICHAEL ALAN · 2012 to 2016
$1.8M
NIGMS NIH HHS U01 GM102098
6 · The paper itself

Abstract

Two major transcriptional regulators of carbon metabolism in bacteria are Cra and CRP. CRP is considered to be the main mediator of catabolite repression. Unlike for CRP, in vivo DNA binding information of Cra is scarce. Here we generate and integrate ChIP-exo and RNA-seq data to identify 39 binding sites for Cra and 97 regulon genes that are regulated by Cra in Escherichia coli. An integrated metabolic-regulatory network was formed by including experimentally-derived regulatory information and a genome-scale metabolic network reconstruction. Applying analysis methods of systems biology to this integrated network showed that Cra enables optimal bacterial growth on poor carbon sources by redirecting and repressing glycolysis flux, by activating the glyoxylate shunt pathway, and by activating the respiratory pathway. In these regulatory mechanisms, the overriding regulatory activity of Cra over CRP is fundamental. Thus, elucidation of interacting transcriptional regulation of core carbon metabolism in bacteria by two key transcription factors was possible by combining genome-wide experimental measurement and simulation with a genome-scale metabolic model.

Indexed as

Gene Expression Regulation, BacterialBacterial ProteinsBinding SitesCarbonCyclic AMP Receptor ProteinDNA, BacterialEscherichia coliEscherichia coli ProteinsGenome, BacterialGlycolysisLac RepressorsMetabolic Networks and PathwaysProtein BindingRegulonRepressor ProteinsSystems BiologyBacterial ProteinsCarboncrp protein, E coliCyclic AMP Receptor ProteinDNA, BacterialEscherichia coli ProteinsFruR protein, BacteriaLac RepressorsRepressor ProteinsTranscription Factors

Identifiers

PMID29394395
PMCPMC5888115
OpenAlexW2952483921

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.