Evidence map›Paper›PMID 21092245›Full record

ArticleBMC genomics2010

LAB-Secretome: a genome-scale comparative analysis of the predicted extracellular and surface-associated proteins of Lactic Acid Bacteria.

Miaomiao Zhou, Daniel Theunissen, Michiel Wels, Roland J Siezen

Open access · goldAbstract readComparative Study
In one paragraph

Article in BMC genomics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
12.3field-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

44 citing papers in PubMed, 88 citations in OpenAlex.

  1. Article
  2. Article
  3. Secretome Profiling ofAntibiotics (Basel, Switzerland) · 2026
    Article
  4. Article
  5. Advances in Genetic Tools and Their Application inFoods (Basel, Switzerland) · 2023
    Review
  6. Article
  7. Article
  8. Adhesion Properties ofMicroorganisms · 2021
    Article
  9. Article
  10. Living the Sweet Life: HowFoods (Basel, Switzerland) · 2020
    Article
  11. Article
  12. An Acid Up-Regulated Surface Protein ofInternational journal of molecular sciences · 2019
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. VerSeDa: vertebrate secretome database.Database : the journal of biological databases and curation · 2017
    Article
  20. Article
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

4 authors at 3 institutions in 1 country.

Miaomiao ZhouCentre for Molecular and Biomolecular Informatics, Radboud University Nijmegen Medical Centre, PO Box 9101, 6500 HB Nijmegen, The Netherlands. m.zhou@cmbi.ru.nl
Daniel Theunissen
Michiel Wels
Roland J Siezen
Nederlands Instituut Voor Zuivel Oonderzoek · NLRadboud University Medical Center · NLTiFN · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn Lactic Acid Bacteria (LAB), the extracellular and surface-associated proteins can be involved in processes such as cell wall metabolism, degradation and uptake of nutrients, communication and binding to substrates or hosts. A genome-scale comparative study of these proteins (secretomes) can provide vast information towards the understanding of the molecular evolution, diversity, function and adaptation of LAB to their specific environmental niches.

resultsWe have performed an extensive prediction and comparison of the secretomes from 26 sequenced LAB genomes. A new approach to detect homolog clusters of secretome proteins (LaCOGs) was designed by integrating protein subcellular location prediction and homology clustering methods. The initial clusters were further adjusted semi-manually based on multiple sequence alignments, domain compositions, pseudogene analysis and biological function of the proteins. Ubiquitous protein families were identified, as well as species-specific, strain-specific, and niche-specific LaCOGs. Comparative analysis of protein subfamilies has shown that the distribution and functional specificity of LaCOGs could be used to explain many niche-specific phenotypes.A comprehensive and user-friendly database LAB-Secretome was constructed to store, visualize and update the extracellular proteins and LaCOGs http://www.cmbi.ru.nl/lab_secretome/. This database will be updated regularly when new bacterial genomes become available.

conclusionsThe LAB-Secretome database could be used to understand the evolution and adaptation of lactic acid bacteria to their environmental niches, to improve protein functional annotation and to serve as basis for targeted experimental studies.

Indexed as

Databases, ProteinBacterial ProteinsCluster AnalysisExtracellular SpaceGenome, BacterialLactobacillaceaeMembrane ProteinsOpen Reading FramesProtein Structure, TertiaryPseudogenesSequence Homology, Amino AcidSpecies SpecificityBacterial ProteinsMembrane Proteins

Identifiers

PMID21092245
PMCPMC3017865
OpenAlexW2022221798

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.