Mapping Plant Interactomes Using Literature Curated and Predicted Protein-Protein Interaction Data Sets

被引：22

作者：

Lee, KiYoung ^{[1
,2
,3
]}

Thorneycroft, David ^{[4
]}

Achuthan, Premanand ^{[4
]}

Hermjakob, Henning ^{[4
]}

Ideker, Trey ^{[2
,3
]}

机构：

[1] Ajou Univ, Sch Med, Dept Biomed Informat, Suwon 443749, South Korea

[2] Univ Calif San Diego, Dept Med, La Jolla, CA 92093 USA

[3] Univ Calif San Diego, Dept Bioengn, La Jolla, CA 92093 USA

[4] European Bioinformat Inst, European Mol Biol Lab, Cambridge CB10 1SD, England

来源：

PLANT CELL | 2010年 / 22卷 / 04期

关键词：

ARABIDOPSIS-THALIANA; GENE ONTOLOGY; NETWORKS; INTEGRATION; IDENTIFICATION; CYTOSCAPE; ROC;

D O I：

10.1105/tpc.109.072736

中图分类号：

Q5 [生物化学]; Q7 [分子生物学];

学科分类号：

071010 ; 081704 ;

摘要：

Most cellular processes are enabled by cohorts of interacting proteins that form dynamic networks within the plant proteome. The study of these networks can provide insight into protein function and provide new avenues for research. This article informs the plant science community of the currently available sources of protein interaction data and discusses how they can be useful to researchers. Using our recently curated IntAct Arabidopsis thaliana protein-protein interaction data set as an example, we discuss potentials and limitations of the plant interactomes generated to date. In addition, we present our efforts to add value to the interaction data by using them to seed a proteome-wide map of predicted protein subcellular locations.

引用

页码：997 / 1005

页数：9

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