pubmed-article:20693610 | rdf:type | pubmed:Citation | lld:pubmed |
pubmed-article:20693610 | lifeskim:mentions | umls-concept:C0736268 | lld:lifeskim |
pubmed-article:20693610 | lifeskim:mentions | umls-concept:C0017337 | lld:lifeskim |
pubmed-article:20693610 | lifeskim:mentions | umls-concept:C1709160 | lld:lifeskim |
pubmed-article:20693610 | pubmed:issue | 1 | lld:pubmed |
pubmed-article:20693610 | pubmed:dateCreated | 2010-8-9 | lld:pubmed |
pubmed-article:20693610 | 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. | lld:pubmed |
pubmed-article:20693610 | pubmed:grant | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:20693610 | pubmed:language | eng | lld:pubmed |
pubmed-article:20693610 | pubmed:journal | http://linkedlifedata.com/r... | lld:pubmed |
pubmed-article:20693610 | pubmed:citationSubset | IM | lld:pubmed |
pubmed-article:20693610 | pubmed:status | MEDLINE | lld:pubmed |
pubmed-article:20693610 | pubmed:issn | 1756-0756 | lld:pubmed |
pubmed-article:20693610 | pubmed:author | pubmed-author:ArcherKellie... | lld:pubmed |
pubmed-article:20693610 | pubmed:author | pubmed-author:FisherRobert... | lld:pubmed |
pubmed-article:20693610 | pubmed:author | pubmed-author:MalufDaniel... | lld:pubmed |
pubmed-article:20693610 | pubmed:author | pubmed-author:ZhaoZhongming... | lld:pubmed |
pubmed-article:20693610 | pubmed:author | pubmed-author:MasValeria... | lld:pubmed |
pubmed-article:20693610 | pubmed:author | pubmed-author:GuennelTobias... | lld:pubmed |
pubmed-article:20693610 | pubmed:issnType | Print | lld:pubmed |
pubmed-article:20693610 | pubmed:volume | 3 | lld:pubmed |
pubmed-article:20693610 | pubmed:owner | NLM | lld:pubmed |
pubmed-article:20693610 | pubmed:authorsComplete | Y | lld:pubmed |
pubmed-article:20693610 | pubmed:pagination | 52-67 | lld:pubmed |
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pubmed-article:20693610 | pubmed:year | 2010 | lld:pubmed |
pubmed-article:20693610 | pubmed:articleTitle | Identifying genes progressively silenced in preneoplastic and neoplastic liver tissues. | lld:pubmed |
pubmed-article:20693610 | pubmed:affiliation | Department of Biostatistics, Virginia Commonwealth University, Richmond, Virginia 23298-0032, USA. kjarcher@vcu.edu | lld:pubmed |
pubmed-article:20693610 | pubmed:publicationType | Journal Article | lld:pubmed |
pubmed-article:20693610 | pubmed:publicationType | Research Support, N.I.H., Extramural | lld:pubmed |