Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 579

The DOI matches its Crossref record; 144 of the 144 references it cites were found in a registry or an index.

Proteomics of Protein Secretion by Bacillus subtilis : Separating the “Secrets” of the Secretome

Open access
Tjalsma, Harold, Antelmann, Haike, Jongbloed, Jan D.H., Braun, Peter G., Darmon, Elise, Dorenbos, Ronald, Dubois, Jean-Yves F., Westers, Helga, Zanen, Geeske, Quax, Wim J., Kuipers, Oscar P., Bron, Sierd, Hecker, Michael, van Dijl, Jan Maarten·2004·Microbiology and Molecular Biology Reviews

Abstract

SUMMARY: Secretory proteins perform a variety of important“ remote-control” functions for bacterial survival in the environment. The availability of complete genome sequences has allowed us to make predictions about the composition of bacterial machinery for protein secretion as well as the extracellular complement of bacterial proteomes. Recently, the power of proteomics was successfully employed to evaluate genome-based models of these so-called secretomes. Progress in this field is well illustrated by the proteomic analysis of protein secretion by the gram-positive bacterium Bacillus subtilis , for which ∼90 extracellular proteins were identified. Analysis of these proteins disclosed various“ secrets of the secretome,” such as the residence of cytoplasmic and predicted cell envelope proteins in the extracellular proteome. This showed that genome-based predictions reflect only∼ 50% of the actual composition of the extracellular proteome of B. subtilis . Importantly, proteomics allowed the first verification of the impact of individual secretion machinery components on the total flow of proteins from the cytoplasm to the extracellular environment. In conclusion, proteomics has yielded a variety of novel leads for the analysis of protein traffic in B. subtilis and other gram-positive bacteria. Ultimately, such leads will serve to increase our understanding of virulence factor biogenesis in gram-positive pathogens, which is likely to be of high medical relevance.

Overview

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1128/mmbr.68.2.207-233.2004

Cites

144 of 144 references verified0 citation errors · 0 not checkable

Statistics

Verification

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.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 144 references

Cited by

See all 579

Metadata

Authors
Tjalsma, H., Antelmann, H., Jongbloed, J. D. H., Braun, P. G., Darmon, E., Dorenbos, R., Dubois, J.-Y. F., Westers, H., Zanen, G., Quax, W. J., Kuipers, O. P., Bron, S., Hecker, M., & van Dijl, J. M.
Venue
Microbiology and Molecular Biology Reviews
Published
2004-06
Volume
68
Issue
2
Pages
207-233
ISSN
  • 1092-2172 (ISSN-L)
  • 1098-5557
OpenAlex
W2116788456
Cited by
579
References
144
FWCI
2.07
Type
journal article
Language
en
Open access
green

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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Proteomics of Protein Secretion by Bacillus subtilis : Separating the “Secrets” of the Secretome. https://app.cochat.ai/papers/10.1128/mmbr.68.2.207-233.2004
The paper
Tjalsma, H., Antelmann, H., Jongbloed, J. D. H., Braun, P. G., Darmon, E., Dorenbos, R., Dubois, J.-Y. F., Westers, H., Zanen, G., Quax, W. J., Kuipers, O. P., Bron, S., Hecker, M., & van Dijl, J. M. (2004). Proteomics of Protein Secretion by Bacillus subtilis : Separating the “Secrets” of the Secretome. Microbiology and Molecular Biology Reviews. https://doi.org/10.1128/mmbr.68.2.207-233.2004

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.