Evidence map›Paper›PMID 28417974›Full record

ArticleScientific reports2017

The E. coli molecular phenotype under different growth conditions.

Mehmet U Caglar, John R Houser, Craig S Barnhart, Daniel R Boutz, Sean M Carroll, Aurko Dasgupta, Walter F Lenoir, Bartram L Smith, Viswanadham Sridhara, Dariya K Sydykova and 5 more

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
–field-weighted citation impact
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

35 citing papers in PubMed.

  1. Bacterial stress responses lower mRNA-protein level correlations.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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  4. Article
  5. Review
  6. Review
  7. Bacterial extracellular vesicles target different bacterial species, impairing cell division and diminishing their pathogenicity.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  8. Article
  9. Towards improved biofilm models.Nature reviews. Microbiology · 2025
    Review
  10. Article
  11. Article
  12. 'Wild Type'.Microbiology (Reading, England) · 2024
    Review
  13. Article
  14. Creating Polyploid Escherichia Coli and Its Application in Efficient L-Threonine Production.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  15. Article
  16. Article
  17. Article
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  20. Article
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

15 authors.

Mehmet U CaglarDepartment of Integrative Biology, The University of Texas at Austin, Austin, Texas, USA.
John R HouserInstitute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, Texas, USA.
Craig S BarnhartInstitute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, Texas, USA.
Daniel R BoutzInstitute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, Texas, USA.
Sean M CarrollDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, USA.
Aurko DasguptaInstitute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, Texas, USA.
Walter F LenoirDepartment of Molecular Biosciences, The University of Texas at Austin, Austin, Texas, USA.
Bartram L SmithDepartment of Integrative Biology, The University of Texas at Austin, Austin, Texas, USA.
Viswanadham SridharaCenter for Computational Biology and Bioinformatics, The University of Texas at Austin, Austin, Texas, USA.
Dariya K SydykovaDepartment of Integrative Biology, The University of Texas at Austin, Austin, Texas, USA.
Drew Vander WoodInstitute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, Texas, USA.
Christopher J MarxDepartment of Biological Sciences, University of Idaho, Moscow, Idaho, USA.
Edward M MarcotteInstitute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, Texas, USA.
Jeffrey E BarrickInstitute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, Texas, USA.
Claus O WilkeInstitute for Cellular and Molecular Biology, The University of Texas at Austin, Austin, Texas, USA.

Funding

Proteomics and model organism humanization to decode human geneticsR35GM122480 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI EDWARD M MARCOTTE · 2017 to 2026
$5.4M
The biophysical basis of translational selectionR01GM088344 · NIGMS · UNIVERSITY OF TEXAS AT AUSTIN · PI BARRICK, JEFFREY EVAN, WILKE, CLAUS O · 2009 to 2023
$3.5M
Single-Cell VirologyR01AI120560 · NIAID · PENNSYLVANIA STATE UNIVERSITY, THE · PI CAMERON, CRAIG E., HUANG, TONY JUN · 2015 to 2017
$1.4M
NIAID NIH HHS R01 AI120560NIGMS NIH HHS R01 GM088344NIGMS NIH HHS R35 GM122480
6 · The paper itself

Abstract

Modern systems biology requires extensive, carefully curated measurements of cellular components in response to different environmental conditions. While high-throughput methods have made transcriptomics and proteomics datasets widely accessible and relatively economical to generate, systematic measurements of both mRNA and protein abundances under a wide range of different conditions are still relatively rare. Here we present a detailed, genome-wide transcriptomics and proteomics dataset of E. coli grown under 34 different conditions. Additionally, we provide measurements of doubling times and in-vivo metabolic fluxes through the central carbon metabolism. We manipulate concentrations of sodium and magnesium in the growth media, and we consider four different carbon sources glucose, gluconate, lactate, and glycerol. Moreover, samples are taken both in exponential and stationary phase, and we include two extensive time-courses, with multiple samples taken between 3 hours and 2 weeks. We find that exponential-phase samples systematically differ from stationary-phase samples, in particular at the level of mRNA. Regulatory responses to different carbon sources or salt stresses are more moderate, but we find numerous differentially expressed genes for growth on gluconate and under salt and magnesium stress. Our data set provides a rich resource for future computational modeling of E. coli gene regulation, transcription, and translation.

Indexed as

Bacteriological TechniquesCarbonCulture MediaEscherichia coliEscherichia coli ProteinsGene Expression Regulation, BacterialMagnesiumPhenotypeSodiumCarbonCulture MediaEscherichia coli ProteinsMagnesiumSodium

Identifiers

PMID28417974
PMCPMC5394689

What OpenQuestion holds

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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.