Evidence map›Paper›PMID 34032011›Full record

ArticleMolecular systems biology2021

From coarse to fine: the absolute Escherichia coli proteome under diverse growth conditions.

Matteo Mori, Zhongge Zhang, Amir Banaei-Esfahani, Jean-Benoît Lalanne, Hiroyuki Okano, Ben C Collins, Alexander Schmidt, Olga T Schubert, Deok-Sun Lee, Gene-Wei Li and 3 more

Erratum issuedAbstract read
In one paragraph

Article in Molecular systems biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 93 papers.

0numbers the graph read from it
0cells of the map it votes in
93citing 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

93 citing papers in PubMed.

  1. Article
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  9. Review
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  14. Global analysis of protein degradation reveals instability of diverse regulators inProceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  15. Heterologous expression ofEngineering microbiology · 2026
    Article
  16. Article
  17. Bacterial iron acquisition byProceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  18. Review
  19. Review
  20. Review

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Matteo MoriDepartment of Physics, University of California at San Diego, La Jolla, CA, USA.ORCID 0000-0002-6263-8021
Zhongge ZhangSection of Molecular Biology, Division of Biological Sciences, University of California at San Diego, La Jolla, CA, USA.
Amir Banaei-EsfahaniDepartment of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.ORCID 0000-0002-9533-7647
Jean-Benoît LalanneDepartment of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0001-8753-0669
Hiroyuki OkanoDepartment of Physics, University of California at San Diego, La Jolla, CA, USA.
Ben C CollinsDepartment of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.ORCID 0000-0003-0827-3495
Alexander SchmidtBiozentrum, University of Basel, Basel, Switzerland.ORCID 0000-0002-3149-2381
Olga T SchubertDepartment of Human Genetics, University of California, Los Angeles, Los Angeles, CA, USA.ORCID 0000-0002-2613-0714
Deok-Sun LeeSchool of Computational Sciences, Korea Institute for Advanced Study, Seoul, Korea.
Gene-Wei LiDepartment of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA.ORCID 0000-0001-7036-8511
Ruedi AebersoldDepartment of Biology, Institute of Molecular Systems Biology, ETH Zurich, Zurich, Switzerland.ORCID 0000-0002-9576-3267
Terence HwaDepartment of Physics, University of California at San Diego, La Jolla, CA, USA.ORCID 0000-0003-1837-6842
Christina LudwigBavarian Center for Biomolecular Mass Spectrometry (BayBioMS), Technical University of Munich (TUM), Freising, Germany.ORCID 0000-0002-6131-7322

Funding

Technology CoreU19AI106761 · NIAID · SEATTLE BIOMEDICAL RESEARCH INSTITUTE · PI SHERMAN, DAVID R, ZAK, DANIEL E · 2013 to 2017
$18.9M
Evolution and Regulation of Bacterial Proteome CompositionR35GM124732 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Gene-Wei Li · 2017 to 2026
$3.8M
Quantitative Studies of Bacterial Growth PhysiologyR01GM095903 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HWA, TERENCE · 2011 to 2023
$3.8M
Quantitative Studies of Metabolic Switches in enteric bacteriaR01GM109069 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HWA, TERENCE · 2014 to 2022
$3.0M
Howard Hughes Medical InstituteNIAID NIH HHS U19 AI106761NIGMS NIH HHS R01 GM095903NIGMS NIH HHS R01 GM109069NIGMS NIH HHS R35 GM124732
6 · The paper itself

Abstract

Accurate measurements of cellular protein concentrations are invaluable to quantitative studies of gene expression and physiology in living cells. Here, we developed a versatile mass spectrometric workflow based on data-independent acquisition proteomics (DIA/SWATH) together with a novel protein inference algorithm (xTop). We used this workflow to accurately quantify absolute protein abundances in Escherichia coli for > 2,000 proteins over > 60 growth conditions, including nutrient limitations, non-metabolic stresses, and non-planktonic states. The resulting high-quality dataset of protein mass fractions allowed us to characterize proteome responses from a coarse (groups of related proteins) to a fine (individual) protein level. Hereby, a plethora of novel biological findings could be elucidated, including the generic upregulation of low-abundant proteins under various metabolic limitations, the non-specificity of catabolic enzymes upregulated under carbon limitation, the lack of large-scale proteome reallocation under stress compared to nutrient limitations, as well as surprising strain-dependent effects important for biofilm formation. These results present valuable resources for the systems biology community and can be used for future multi-omics studies of gene regulation and metabolic control in E. coli.

Indexed as

AlgorithmsBacteriological TechniquesEscherichia coliEscherichia coli ProteinsMass SpectrometryProteomicsStress, PhysiologicalSystems BiologyWorkflowEscherichia coli Proteinsabsolute quantificationEscherichia colimass spectrometryprotein inferencequantitative proteomics

Identifiers

PMID34032011
PMCPMC8144880

What OpenQuestion holds

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Registered trials

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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.