The <i>Escherichia coli</i> PeptideAtlas Build: Characterizing the Observed <i>Escherichia coli</i> Pan-Proteome and Its Post-Translational Modifications
<i>Escherichia coli</i> is a widely used model organism in molecular biology. Despite its pivotal role, a comprehensive proteome resource covering the <i>E. coli</i> pan-proteome and its post-translational modifications (PTMs) has been lacking. Here we present the <i>E. coli</i> PeptideAtlas build, the first comprehensive pan-proteome analysis of <i>E. coli</i>, generated from 40 high-quality public and in-house data sets spanning a broad diversity of strains, sample types, and experimental conditions, and comprising over 73 million MS/MS spectra. All data sets were reprocessed using both a closed search (Trans-Proteomic Pipeline using MSFragger) and an open search (ionbot). The <i>E. coli</i> PeptideAtlas build provides evidence for 4755 proteins, including 1376 previously lacking protein-level support in UniProtKB. The resource offers protein coverage, modification sites, raw spectra with matched peptides, and manually annotated metadata for the <i>E. coli</i> pan-proteome. PTM profiling identified over 10,000 modification sites, including phosphorylation (3806), acetylation (754), methylation (730), glutathionylation (352) and phosphoribosylation (226). Analysis of the glutathionylation sites revealed potential links to metal binding regulation. We also detected proteins likely stemming from phages, underscoring the value of pan-proteomic approaches for studying host-phage interactions. All identifications are publicly accessible and traceable through the PeptideAtlas interface. We expect that the <i>E. coli</i> PeptideAtlas build will provide a useful resource for the community, which supports, for example, targeted MS experiment design, PTM enrichment method development, and strain typing. It allows straightforward lookups of protein and peptide identifications and facilitates comparative proteomic analyses by enabling the assessment of protein presence and variability across different <i>E. coli</i> strains. The build is available at https://peptideatlas.org/builds/ecoli/.
Authors
- Jasper Zuallaert (ORCID: https://orcid.org/0000-0003-1491-4914)
- Kevin Velghe (ORCID: https://orcid.org/0000-0002-9968-6043)
- Lennart Martens (ORCID: https://orcid.org/0000-0003-4277-658X)
- Aurélie Hirschler (ORCID: https://orcid.org/0000-0001-5066-6263)
- Kay Nieselt (ORCID: https://orcid.org/0000-0002-1283-7065)
- Christine Carapito
- Zhi Sun (ORCID: https://orcid.org/0000-0003-3324-6851)
- Caroline Jachmann (ORCID: https://orcid.org/0009-0000-4679-7295)
- Florence Arsène-Ploetze
- Robbin Bouwmeester
- Eric W. Deutsch
- Ralf Gabriels
- Tim Van Den Bossche
Institutions
- Ghent University Hospital (BE)
- Institute for Systems Biology (US)
- InSysBio (Russia) (RU)
- Institut de Biologie Moléculaire des Plantes (FR)
- IONICS Mass Spectrometry (Canada) (CA)
- VIB-UGent Center for Medical Biotechnology (BE)
- Institute for Medical Informatics and Biostatistics (CH)
- French Clinical Research Infrastructure Network (FR)
- Université de Strasbourg (FR)
- University of Tübingen (DE)
Publication Details
- Journal
- Journal of Proteome Research
- Published
- 2026-01-22
- DOI
- https://doi.org/10.1021/acs.jproteome.5c00902
- Primary Topic
- Advanced Proteomics Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00