Linked Life Data

20693610

Source:http://linkedlifedata.com/resource/pubmed/id/20693610

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2010-8-9
pubmed:abstractText
High-throughput genomic technologies are increasingly being used to identify therapeutic targets and risk factors for specific diseases. Using 116 independent liver samples, we identified 793 probe sets that demonstrated a significant association in the frequency of absent calls as tissues progressed from normal to pre-neoplastic to neoplastic, followed by a bioinformatic approach which identified that 78.9% of the significant probe sets contained at least one CpG island in the gene promoter region compared with 58.9% of the remaining genes examined. Our results indicate that further high-throughput methylation studies to more fully characterize molecular events involved in hepatocarcinogenesis are warranted.
pubmed:grant
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:issn
1756-0756
pubmed:author
pubmed:issnType
Print
pubmed:volume
3
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
52-67
pubmed:meshHeading
pubmed:year
2010
pubmed:articleTitle
Identifying genes progressively silenced in preneoplastic and neoplastic liver tissues.
pubmed:affiliation
Department of Biostatistics, Virginia Commonwealth University, Richmond, Virginia 23298-0032, USA. kjarcher@vcu.edu
pubmed:publicationType
Journal Article, Research Support, N.I.H., Extramural