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Human Molecular Genetics Advance Access published online on September 14, 2005
Human Molecular Genetics, doi:10.1093/hmg/ddi335
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© The Author 2005. Published by Oxford University Press. All rights reserved
Received August 18, 2005
Revised September 1, 2005
Accepted September 1, 2005

Article

Interactome: Gateway into systems biology

Michael Cusick 1*, Niels Klitgord 2, Marc Vidal 1*, and David E. Hill 1*

1 Center for Cancer Systems Biology and Department of Cancer Biology, Dana-Farber Cancer Institute; Department of Genetics, Harvard Medical School, 44 Binney Street, Boston, Massachusetts 02115, USA; Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA
2 Center for Cancer Systems Biology and Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, Massachusetts 02115, USA; Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA

* To whom correspondence should be addressed.
Michael Cusick, E-mail: Michael_cusick{at}dfci.harvard.edu
Marc Vidal, E-mail: marc_vidal{at}dfci.harvard.edu
David E. Hill, E-mail: david_hill{at}dfci.harvard.edu


  Abstract

Protein-protein interactions are fundamental to all biological processes, and a comprehensive determination of all protein-protein interactions that can take place in an organism provides a framework for understanding biology as an integrated system. The availability of genome-scale sets of cloned open reading frames (ORFs) has facilitated systematic efforts at creating proteome-scale datasets of protein-protein interactions, which are represented as complex networks or "interactome" maps. Protein-protein interaction mapping projects that follow stringent criteria, coupled with experimental validation in orthogonal systems, provide high-confidence datasets immanently useful for interrogating developmental and disease mechanisms at a system level as well as elucidating individual protein function and interactome network topology. While far from complete, currently available maps provide insight into how biochemical properties of proteins and protein complexes are integrated into biological systems. Such maps are also a useful resource to predict the function(s) of thousands of genes (1).


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