Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
4
pubmed:dateCreated
2007-9-19
pubmed:abstractText
Functional genomics has been applied in the study of human malignancies since the inception of this field nearly a decade ago. Microarray analysis has been specifically used in an attempt to re-classify carcinomas at the molecular level, to aid in diagnosis/prognosis and to predict how various types of tumour respond to different therapeutic agents. Bioinformatics is now at the forefront of the post-genomics era and is providing a number of tools with which to mine the large datasets produced by genome-wide analysis. Of particular importance is the emergence of techniques that give the ability to reveal the transcription regulatory networks that are active in the cell in response to environmental stimuli or disease states. Deciphering the transcription networks that function in malignant cells not only will provide the knowledge to understand how carcinomas progress, but would also allow the construction of useful therapeutic tools for their effective treatment. In this review the recent advances that have been made in functional genomics that allow microarray data to be more fully interpreted and reveal the transcription networks that have gone awry in transformed cells are described.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:issn
1109-6535
pubmed:author
pubmed:issnType
Print
pubmed:volume
4
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
301-8
pubmed:meshHeading
pubmed:articleTitle
Interpreting microarray data: towards the complete bioinformatics toolkit for cancer.
pubmed:affiliation
Regulon A.E., Afxentiou 7, Athens 11525, Greece. michael@regulon.org
pubmed:publicationType
Journal Article