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Systematic deciphering of cancer genome networks.

Authors
  • Fendler, Bernard1
  • Atwal, Gurinder
Type
Published Article
Journal
The Yale journal of biology and medicine
Publication Date
Sep 01, 2012
Volume
85
Issue
3
Pages
339–345
Identifiers
PMID: 23012582
Source
Medline
Keywords
License
Unknown

Abstract

When growth regulatory genes are damaged in a cell, it may become cancerous. Current technological advances in the last decade have allowed the characterization of the whole genome of these cells by directly or indirectly measuring DNA changes. Complementary analyses were developed to make sense of the massive amounts of data generated. A large majority of these analyses were developed to construct interaction networks between genes from, primarily, expression array data. We review the current technologies and analyses that have developed in the last decade. We further argue that as cancer genomics evolves from single gene validations to gene network inferences, new analyses must be developed for the different technological platforms.

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