Evidence map›Paper›PMID 20140071›Full record

ArticleBioinformatics and biology insights2009

Bioinformatics as a tool for assessing the quality of sub-cellular proteomic strategies and inferring functions of proteins: plant cell wall proteomics as a test case.

Hélène San Clemente, Rafael Pont-Lezica, Elisabeth Jamet

Abstract read
In one paragraph

Article in Bioinformatics and biology insights, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–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

19 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Review
  5. Article
  6. Physiological and Biochemical Traits of Two MajorFrontiers in plant science · 2021
    Article
  7. The Cell Wall Proteome ofFrontiers in plant science · 2021
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. 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

3 authors.

Hélène San ClementeSurfaces cellulaires et Signalisation chez les Végétaux, UMR 5546 CNRS-UPS-Université de Toulouse, Pôle de Biotechnologie Végétale, 24 chemin de Borde-Rouge, BP 42617 Auzeville, 31326 Castanet-Tolosan, France.
Rafael Pont-Lezica
Elisabeth Jamet

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bioinformatics is used at three different steps of proteomic studies of sub-cellular compartments. First one is protein identification from mass spectrometry data. Second one is prediction of sub-cellular localization, and third one is the search of functional domains to predict the function of identified proteins in order to answer biological questions. The aim of the work was to get a new tool for improving the quality of proteomics of sub-cellular compartments. Starting from the analysis of problems found in databases, we designed a new Arabidopsis database named ProtAnnDB (http://www.polebio.scsv.ups-tlse.fr/ProtAnnDB/). It collects in one page predictions of sub-cellular localization and of functional domains made by available software. Using this database allows not only improvement of interpretation of proteomic data (top-down analysis), but also of procedures to isolate sub-cellular compartments (bottom-up quality control).

Indexed as

bioinformaticscell wallplantproteomics

Identifiers

PMID20140071
PMCPMC2808182

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.