Linked Life Data

10475062

Source:http://linkedlifedata.com/resource/pubmed/id/10475062

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
6
pubmed:dateCreated
1999-9-30
pubmed:abstractText
Genome-wide expression monitoring, a novel tool of functional genomics, is currently used mainly to identify groups of coregulated genes and to discover genes expressed differentially in distinct situations that could serve as drug targets. This descriptive approach. however, fails to extract "distributed" information embedded in the genomic regulatory network and manifested in distinct gene activation profiles. A model based on the formalism of boolean genetic networks in which cellular states are represented by attractors in a discrete dynamic system can serve as a conceptual framework for an integrative interpretation of gene expression profiles. Such a global (genome-wide) view of "gene function" in the regulation of the dynamic relationship between proliferation, differentiation, and apoptosis can provide new insights into cellular homeostasis and the origins of neoplasia. Implications for a rational approach to the identification of new drug targets for cancer treatment are discussed.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jun
pubmed:issn
0946-2716
pubmed:author
pubmed:issnType
Print
pubmed:volume
77
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
469-80
pubmed:dateRevised
2011-7-8
pubmed:meshHeading
pubmed:year
1999
pubmed:articleTitle
Gene expression profiling, genetic networks, and cellular states: an integrating concept for tumorigenesis and drug discovery.
pubmed:affiliation
Department of Surgery, Children's Hospital, Harvard Medical School, Boston, MA 02115, USA. huang_su@a1.tch.harvard.edu
pubmed:publicationType
Journal Article, Review