Proteogenomics in Aid of Host–Pathogen Interaction Studies: A Bacterial Perspective
Open accessPublished version of a preprint
Abstract
By providing useful tools to study host–pathogen interactions, next-generation omics has recently enabled the study of gene expression changes in both pathogen and infected host simultaneously. However, since great discriminative power is required to study pathogen and host simultaneously throughout the infection process, the depth of quantitative gene expression profiling has proven to be unsatisfactory when focusing on bacterial pathogens, thus preferentially requiring specific strategies or the development of novel methodologies based on complementary omics approaches. In this review, we focus on the difficulties encountered when making use of proteogenomics approaches to study bacterial pathogenesis. In addition, we review different omics strategies (i.e., transcriptomics, proteomics and secretomics) and their applications for studying interactions of pathogens with their host.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Proteoform: a single term describing protein complexity
The Consortium for Top Down Proteomics, Smith, L. M., & Kelleher, N. L. (2013) · Nature Methods · doi:10.1038/nmeth.2369 · Cited by 1,528 · cited 2× · see citing works
“and alternative translation initiation amongst others) [21], eukaryotic proteomes are about one order of magnitude larger than their prokaryotic counterparts in absolute numbers of unique proteins (Figure 1).”
BackgroundA translational profiling approach for the molecular characterization of CNS cell types
Heiman, M., Schaefer, A., Gong, S., Peterson, J. D., Day, M., Ramsey, K. E., Suárez-Fariñas, M., Schwarz, C., Stephan, D. A., Surmeier, D. J., et al. (2008) · Cell · doi:10.1016/j.cell.2008.10.028 · Cited by 1,134 · see citing works
Phagocytosis: An Immunobiologic Process
Gordon, S. (2016) · Immunity · doi:10.1016/j.immuni.2016.02.026 · Cited by 902 · see citing works
Milo, R. (2013) · BioEssays · doi:10.1002/bies.201300066 · Cited by 643 · see citing works
Paxdb, a database of protein abundance averages across all three domains of life
Wang, M., Weiss, M., Simonovic, M., Haertinger, G., Schrimpf, S. P., Hengartner, M. O., & von Mering, C. (2012) · Molecular & Cellular Proteomics · doi:10.1074/mcp.o111.014704 · Cited by 466 · cited 2× · see citing works
“typhimurium) strain LT2 encodes 4423 protein-coding genes [20].”
BackgroundSecretion and subcellular localizations of bacterial proteins: a semantic awareness issue
Desvaux, M., Hébraud, M., Talon, R., & Henderson, I. R. (2009) · Trends in Microbiology · doi:10.1016/j.tim.2009.01.004 · Cited by 347 · see citing works
Burton, N. A., Schürmann, N., Casse, O., Steeb, A. K., Claudi, B., Zankl, J., Schmidt, A., & Bumann, D. (2014) · Cell Host & Microbe · doi:10.1016/j.chom.2013.12.006 · Cited by 175 · see citing works
Flagged first, then by citations
- Authors
- Fels, U., Gevaert, K., & Van Damme, P.
- Affiliations
- Ghent University (BE)
- VIB-UGent Center for Medical Biotechnology, Albert Baertsoenkaai 3, B-9000 Ghent, Belgium
- Venue
- Proteomes
- Publisher
- MDPI AG
- Published
- 2017-10-11
- Volume
- 5
- Issue
- 4
- Pages
- 26
- ISSN
- 2227-7382 (ISSN-L)
- PMC
- PMC5748561
- OpenAlex
- W2763353276
- Cited by
- 17
- References
- 7
- Citations by year
- 2026: 1 · 2025: 1 · 2023: 2 · 2022: 1 · 2021: 1 · 2020: 2 · 2019: 5 · 2018: 4
- FWCI
- 0.35
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Proteomes (publishedVersion, cc-by)
- Preprints.org (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Ghent University Academic Bibliography (Ghent University) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Université Paris-Est Créteil Val-de-Marne
- Topics
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Bacterial Genetics and Biotechnology
- Keywords
- proteogenomics, host-pathogen interaction, bacterial pathogenesis, pathogenic bacteria, transcriptomics, proteomics, secretomics, multi-omics integration
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review