Evidence map›Paper›PMID 23293649›Full record

ArticleFrontiers in plant science2012

Inferring the Brassica rapa Interactome Using Protein-Protein Interaction Data from Arabidopsis thaliana.

Jianhua Yang, Kim Osman, Mudassar Iqbal, Dov J Stekel, Zewei Luo, Susan J Armstrong, F Chris H Franklin

Abstract read
In one paragraph

Article in Frontiers in plant science, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Frontiers in plant science · 2021
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. PCPPI: a comprehensive database for the prediction of Penicillium-crop protein-protein interactions.Database : the journal of biological databases and curation · 2017
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jianhua YangUniversity of Birmingham Birmingham, UK.
Kim Osman
Mudassar Iqbal
Dov J Stekel
Zewei Luo
Susan J Armstrong
F Chris H Franklin

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Following successful completion of the Brassica rapa sequencing project, the next step is to investigate functions of individual genes/proteins. For Arabidopsis thaliana, large amounts of protein-protein interaction (PPI) data are available from the major PPI databases (DBs). It is known that Brassica crop species are closely related to A. thaliana. This provides an opportunity to infer the B. rapa interactome using PPI data available from A. thaliana. In this paper, we present an inferred B. rapa interactome that is based on the A. thaliana PPI data from two resources: (i) A. thaliana PPI data from three major DBs, BioGRID, IntAct, and TAIR. (ii) ortholog-based A. thaliana PPI predictions. Linking between B. rapa and A. thaliana was accomplished in three complementary ways: (i) ortholog predictions, (ii) identification of gene duplication based on synteny and collinearity, and (iii) BLAST sequence similarity search. A complementary approach was also applied, which used known/predicted domain-domain interaction data. Specifically, since the two species are closely related, we used PPI data from A. thaliana to predict interacting domains that might be conserved between the two species. The predicted interactome was investigated for the component that contains known A. thaliana meiotic proteins to demonstrate its usability.

Indexed as

Arabidopsis thalianaBrassica rapadomain–domain interactioninteractomemeiosisprotein–protein interaction

Identifiers

PMID23293649
PMCPMC3537189

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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.