Cited by 233Bioinformatics and Genomic NetworksBacterial Genetics and BiotechnologyAdvanced Proteomics Techniques and Applications

The binary protein-protein interaction landscape of Escherichia coli

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Rajagopala, Seesandra V, Sikorski, Patricia, Kumar, Ashwani, Mosca, Roberto, Vlasblom, James, Arnold, Roland, Franca-Koh, Jonathan, Pakala, Suman B +10 more·2014·Nature Biotechnology

Abstract

Efforts to map the Escherichia coli interactome have identified several hundred macromolecular complexes, but direct binary protein-protein interactions (PPIs) have not been surveyed on a large scale. Here we performed yeast two-hybrid screens of 3,305 baits against 3,606 preys (∼70% of the E. coli proteome) in duplicate to generate a map of 2,234 interactions, which approximately doubles the number of known binary PPIs in E. coli. Integration of binary PPI and genetic-interaction data revealed functional dependencies among components involved in cellular processes, including envelope integrity, flagellum assembly and protein quality control. Many of the binary interactions that we could map in multiprotein complexes were informative regarding internal topology of complexes and indicated that interactions in complexes are substantially more conserved than those interactions connecting different complexes. This resource will be useful for inferring bacterial gene function and provides a draft reference of the basic physical wiring network of this evolutionarily important model microbe.

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Authors
Rajagopala, S. V., Sikorski, P., Kumar, A., Mosca, R., Vlasblom, J., Arnold, R., Franca-Koh, J., Pakala, S. B., Phanse, S., Ceol, A., Häuser, R., Siszler, G., Wuchty, S., Emili, A., Babu, M., Aloy, P., Pieper, R., & Uetz, P.
Affiliations
  • J. Craig Venter Institute (US)
  • University of Regina (CA)
  • Institute for Research in Biomedicine (ES)
  • University of Toronto (CA)
  • German Cancer Research Center (DE)
  • National Institutes of Health (US)
  • Institució Catalana de Recerca i Estudis Avançats (ES)
  • Virginia Commonwealth University (US)
Corresponding author
  • Rajagopala, Seesandra V
  • Babu, Mohan
Venue
Nature Biotechnology
Published
2014-02-23
Volume
32
Issue
3
Pages
285-290
ISSN
  • 0733-222X (ISSN-L)
  • 1087-0156
  • 1546-1696
OpenAlex
W2108102049
Cited by
233
References
48
Citations by year
2026: 12 · 2025: 10 · 2024: 20 · 2023: 18 · 2022: 16 · 2021: 19 · 2020: 16 · 2019: 17 · 2018: 24 · 2017: 20 · 2016: 22 · 2015: 24 · 2014: 15
FWCI
11.01
Type
journal article
Language
en
Open access
Locations
  • Nature Biotechnology (publishedVersion)
  • PubMed (publishedVersion)
  • PubMed Central (acceptedVersion)
  • University of Birmingham Research Portal (University of Birmingham) (submittedVersion)
Funders
National Institute of General Medical Sciences (GM079710, R01GM079710)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Bacterial Genetics and Biotechnology
  • Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
Keywords
Escherichia coli, protein-protein interaction, protein-protein interaction network, macromolecular complexes, genetic interactions, flagellum assembly, protein quality control, gene function prediction
MeSH terms
Two-Hybrid System Techniques, Protein Interaction Mapping, Escherichia coli Proteins, Proteomics, Protein Interaction Maps

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