Evidence map›Paper›PMID 20852260›Full record

ArticleNucleic acids research2011

MatrixDB, the extracellular matrix interaction database.

Emilie Chautard, Marie Fatoux-Ardore, Lionel Ballut, Nicolas Thierry-Mieg, Sylvie Ricard-Blum

Abstract read
In one paragraph

Article in Nucleic acids research, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

64 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Mass Spectrometry for Proteomics-Based Investigation.Advances in experimental medicine and biology · 2026
    Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Graph algorithms for predicting subcellular localization at the pathway levelPacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2023
    Article
  9. ACS central science · 2022
    Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Glycosaminoglycan-Protein Interactions: The First Draft of the Glycosaminoglycan Interactome.The journal of histochemistry and cytochemistry : official journal of the Histochemistry Society · 2021
    Review
  15. Review
  16. Databases for Protein-Protein Interactions.Methods in molecular biology (Clifton, N.J.) · 2021
    Review
  17. Article
  18. Three-Dimensional Structures of Carbohydrates and Where to Find Them.International journal of molecular sciences · 2020
    Review
  19. Databases and Bioinformatic Tools for Glycobiology and Glycoproteomics.International journal of molecular sciences · 2020
    Review
  20. Article

4 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

5 authors.

Emilie ChautardInstitut de Biologie et Chimie des Protéines, UMR 5086 CNRS-Université Lyon 1, IFR 128 Biosciences Gerland-Lyon Sud, 7 passage du Vercors 69367, Lyon Cedex 07, France.
Marie Fatoux-Ardore
Lionel Ballut
Nicolas Thierry-Mieg
Sylvie Ricard-Blum

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MatrixDB (http://matrixdb.ibcp.fr) is a freely available database focused on interactions established by extracellular proteins and polysaccharides. Only few databases report protein-polysaccharide interactions and, to the best of our knowledge, there is no other database of extracellular interactions. MatrixDB takes into account the multimeric nature of several extracellular protein families for the curation of interactions, and reports interactions with individual polypeptide chains or with multimers, considered as permanent complexes, when appropriate. MatrixDB is a member of the International Molecular Exchange consortium (IMEx) and has adopted the PSI-MI standards for the curation and the exchange of interaction data. MatrixDB stores experimental data from our laboratory, data from literature curation, data imported from IMEx databases, and data from the Human Protein Reference Database. MatrixDB is focused on mammalian interactions, but aims to integrate interaction datasets of model organisms when available. MatrixDB provides direct links to databases recapitulating mutations in genes encoding extracellular proteins, to UniGene and to the Human Protein Atlas that shows expression and localization of proteins in a large variety of normal human tissues and cells. MatrixDB allows researchers to perform customized queries and to build tissue- and disease-specific interaction networks that can be visualized and analyzed with Cytoscape or Medusa.

Indexed as

Databases, ProteinAnimalsExtracellular Matrix ProteinsHumansMutationPolysaccharidesProtein Interaction MappingExtracellular Matrix ProteinsPolysaccharides

Identifiers

PMID20852260
PMCPMC3013758

What OpenQuestion holds

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LicenceCC BY-NC
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.