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Letter
Nature 438, 103-107 (3 November 2005) | doi:10.1038/nature04104; Received 14 April 2005; Accepted 1 August 2005
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Associate Professor / Professor ? NCRIS TERN Director
- University Of Queensland, Australia
- Brisbane, Queensland, Australia
Assistant Professor - Pathology
- Amrita Institute of Medical Sciences & Research Centre (AIMS)
- Kochi, Kerala 682 026 India
A protein interaction network of the malaria parasite Plasmodium falciparum
Douglas J. LaCount1,2,5, Marissa Vignali2,5, Rakesh Chettier3, Amit Phansalkar3, Russell Bell3, Jay R. Hesselberth2, Lori W. Schoenfeld1,2, Irene Ota3, Sudhir Sahasrabudhe3, Cornelia Kurschner3, Stanley Fields1,2 & Robert E. Hughes3,4
- Howard Hughes Medical Institute,
- Departments of Genome Sciences and Medicine, University of Washington, Box 357730, Seattle, Washington 98195, USA
- Prolexys Pharmaceuticals, Inc., 2150 West Dauntless Avenue, Salt Lake City, Utah 84111, USA
- †Present address: Buck Institute, Novato, California 94945, USA
- *These authors contributed equally to this work
Correspondence to: Stanley Fields1,2Robert E. Hughes3,4 Correspondence and requests for materials should be addressed to S.F. (Email: fields@u.washington.edu) or R.E.H. (Email: rhughes@buckinstitute.org).
Abstract
Plasmodium falciparum causes the most severe form of malaria and kills up to 2.7 million people annually1. Despite the global importance of P. falciparum, the vast majority of its proteins have not been characterized experimentally. Here we identify P. falciparum protein–protein interactions using a high-throughput version of the yeast two-hybrid assay that circumvents the difficulties in expressing P. falciparum proteins in Saccharomyces cerevisiae. From more than 32,000 yeast two-hybrid screens with P. falciparum protein fragments, we identified 2,846 unique interactions, most of which include at least one previously uncharacterized protein. Informatic analyses of network connectivity, coexpression of the genes encoding interacting fragments, and enrichment of specific protein domains or Gene Ontology annotations2 were used to identify groups of interacting proteins, including one implicated in chromatin modification, transcription, messenger RNA stability and ubiquitination, and another implicated in the invasion of host cells. These data constitute the first extensive description of the protein interaction network for this important human pathogen.
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