Modeling and Computational Biology
Geisler-Lee, Jane , OToole, Nicholas , Ammar, Ron , Provart, Nicholas , Millar, A. Harvey , Geisler, Matt .
A Predicted Interactome for Arabidopsis thalianatext.
Physical interactions between proteins frequently determine the complexity of cellular functions in an organism. A map of all protein-protein interactions, an interactome, becomes an invaluable tool to elucidate this complexity. Here a predicted interactome for Arabidopsis thaliana from interacting orthologs in yeast, worm, fruit fly and human is presented. In this interactome, we impose an internal quality control, a confidence value based on the number of supporting evidence for each interaction, and have generated a total of 1159 high confidence, 5913 medium confidence, and 12907 low confidence interactions from 3617 conserved Arabidopsis proteins. The genes whose proteins were predicted to interact were found significantly coexpressed; and the interacting proteins were also found significantly colocalized in the same subcellular compartments. The exception was the proteins located in the Golgi which interacted not only with Golgi but also with vacuolar and ER sorted proteins to indicate the possibility of docking or trafficking interactions. Our predicted interactome is presented in an online web interface the Arabidopsis Interactions Viewer for the plant research community. It will greatly aid researchers to extend known pathways and signaling networks with candidate proteins in order to understand global signaling in Arabidopsis.
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1 - Southern Illinois University Carbondale, Plant Biology
2 - University of Western Australia, ARC Centre of Excellence in Plant Energy Biology
3 - University of Toronto, Cell & Systems Biology
4 - Southern Illinois University Carbondale, Plant Biology, 1125 Lincoln Ave., LSII, Rm403, Carbondale, Illinois, 62901, USA
Presentation Type: Plant Biology Abstract
Location: Exhibit Hall (Northeast, Southwest & Southeast)/Hilton
Date: Sunday, July 8th, 2007
Time: 8:00 AM