Evidence map›Paper›PMID 30137486›Full record

ArticleNucleic acids research2018

Systematic discovery of uncharacterized transcription factors in Escherichia coli K-12 MG1655.

Ye Gao, James T Yurkovich, Sang Woo Seo, Ilyas Kabimoldayev, Andreas Dräger, Ke Chen, Anand V Sastry, Xin Fang, Nathan Mih, Laurence Yang and 4 more

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 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed
8.9field-weighted citation impact, top 2% 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

64 citing papers in PubMed, 115 citations in OpenAlex.

  1. Article
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  9. Journal of bacteriology · 2025
    Article
  10. Article
  11. Article
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  13. Review
  14. Evolution of pH-sensitive transcription termination inProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  15. Article
  16. Article
  17. Article
  18. Harnessing regulatory networks in Actinobacteria for natural product discovery.Journal of industrial microbiology & biotechnology · 2024
    Review
  19. Article
  20. Article

4 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

14 authors at 6 institutions in 4 countries.

Ye GaoDivision of Biological Sciences, University of California, San Diego, La Jolla, CA 92093, USA.
James T YurkovichDepartment of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA.
Sang Woo SeoSchool of Chemical and Biological Engineering, Seoul National University, Seoul, Republic of Korea.
Ilyas KabimoldayevDepartment of Genetic Engineering and Graduate School of Biotechnology, College of Life Sciences, Kyung Hee University, Yongin, Republic of Korea.
Andreas DrägerComputational Systems Biology of Infection and Antimicrobial-Resistant Pathogens, Center for Bioinformatics Tübingen (ZBIT), 72076 Tübingen, Germany.
Ke ChenDepartment of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA.
Anand V SastryDepartment of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA.
Xin FangDepartment of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA.
Nathan MihDepartment of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA.
Laurence YangDepartment of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA.
Johannes EichnerComputational Systems Biology of Infection and Antimicrobial-Resistant Pathogens, Center for Bioinformatics Tübingen (ZBIT), 72076 Tübingen, Germany.
Byung-Kwan ChoNovo Nordisk Foundation Center for Biosustainability, 2800 Kongens Lyngby, Denmark.
Donghyuk KimDepartment of Genetic Engineering and Graduate School of Biotechnology, College of Life Sciences, Kyung Hee University, Yongin, Republic of Korea.
Bernhard O PalssonDepartment of Bioengineering, University of California San Diego, La Jolla, CA 92093, USA.
University of California San Diego · USBernstein Center for Computational Neuroscience Tübingen · DEKyung Hee University · KRKorea Advanced Institute of Science and Technology · KRNovo Nordisk Foundation · DKSeoul National University · KR

Funding

Continued Support of Essential SBML Software and Community ResourcesR01GM070923 · NIGMS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI HUCKA, MICHAEL · 2004 to 2018
$8.0M
NIGMS NIH HHS R01 GM070923
6 · The paper itself

Abstract

Transcriptional regulation enables cells to respond to environmental changes. Of the estimated 304 candidate transcription factors (TFs) in Escherichia coli K-12 MG1655, 185 have been experimentally identified, but ChIP methods have been used to fully characterize only a few dozen. Identifying these remaining TFs is key to improving our knowledge of the E. coli transcriptional regulatory network (TRN). Here, we developed an integrated workflow for the computational prediction and comprehensive experimental validation of TFs using a suite of genome-wide experiments. We applied this workflow to (i) identify 16 candidate TFs from over a hundred uncharacterized genes; (ii) capture a total of 255 DNA binding peaks for ten candidate TFs resulting in six high-confidence binding motifs; (iii) reconstruct the regulons of these ten TFs by determining gene expression changes upon deletion of each TF and (iv) identify the regulatory roles of three TFs (YiaJ, YdcI, and YeiE) as regulators of l-ascorbate utilization, proton transfer and acetate metabolism, and iron homeostasis under iron-limited conditions, respectively. Together, these results demonstrate how this workflow can be used to discover, characterize, and elucidate regulatory functions of uncharacterized TFs in parallel.

Indexed as

Gene Expression ProfilingEscherichia coli K12Escherichia coli ProteinsGene Expression Regulation, BacterialGene Regulatory NetworksOligonucleotide Array Sequence AnalysisTranscription FactorsEscherichia coli ProteinsTranscription Factors

Identifiers

PMID30137486
PMCPMC6237786
OpenAlexW2806609811

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.