Evidence map›Paper›PMID 15187182›Full record

ReviewMicrobiology and molecular biology reviews : MMBR2004

Proteomics of protein secretion by Bacillus subtilis: separating the "secrets" of the secretome.

Harold Tjalsma, Haike Antelmann, Jan D H Jongbloed, Peter G Braun, Elise Darmon, Ronald Dorenbos, Jean-Yves F Dubois, Helga Westers, Geeske Zanen, Wim J Quax and 4 more

Open access · greenAbstract readReview
In one paragraph

Review in Microbiology and molecular biology reviews : MMBR, 2004. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 221 papers.

0numbers the graph read from it
0cells of the map it votes in
221citing papers in PubMed
14.4field-weighted citation impact, top 1% of its field
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

221 citing papers in PubMed, 570 citations in OpenAlex.

  1. Article
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  4. Review
  5. Article
  6. Impact of expression systems on the transcriptome ofApplied and environmental microbiology · 2025
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  7. Review
  8. Article
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  19. Hallmarks of the metabolic secretome.Trends in endocrinology and metabolism: TEM · 2024
    Review
  20. Article

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

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 4 institutions in 3 countries.

Harold TjalsmaDepartment of Genetics, Groningen Biomolecular Sciences and Biotechnology Institute, Kerklaan 30, 9751 NN Haren, The Netherlands.
Haike Antelmann
Jan D H Jongbloed
Peter G Braun
Elise Darmon
Ronald Dorenbos
Jean-Yves F Dubois
Helga Westers
Geeske Zanen
Wim J Quax
Oscar P Kuipers
Sierd Bron
Michael Hecker
Jan Maarten van Dijl
University of Groningen · NLBiotechnology Institute · USUniversität Greifswald · DERadboud University Nijmegen · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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 approximately 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 approximately 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.

Indexed as

Bacillus subtilisBacterial ProteinsGenome, BacterialMembrane ProteinsModels, BiologicalPeriplasmic ProteinsProtein Sorting SignalsProtein TransportProteomicsBacterial ProteinsMembrane ProteinsPeriplasmic ProteinsProtein Sorting Signals

Identifiers

PMID15187182
PMCPMC419921
OpenAlexW2116788456

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.