Identifying genes progressively silenced in preneoplastic and neoplastic liver tissues

Kellie J. Archer, Zhongming Zhao, Tobias Guennel, Daniel Maluf, Robert A. Fisher, Valeria Mas

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

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.

Original languageEnglish (US)
Pages (from-to)52-67
Number of pages16
JournalInternational Journal of Computational Biology and Drug Design
Volume3
Issue number1
DOIs
StatePublished - Aug 1 2010

Fingerprint

Liver
Genes
Throughput
Tissue
CpG Islands
Methylation
Bioinformatics
Computational Biology
Genetic Promoter Regions
Association reactions
Technology
Therapeutics

All Science Journal Classification (ASJC) codes

  • Drug Discovery
  • Computer Science Applications

Cite this

Identifying genes progressively silenced in preneoplastic and neoplastic liver tissues. / Archer, Kellie J.; Zhao, Zhongming; Guennel, Tobias; Maluf, Daniel; Fisher, Robert A.; Mas, Valeria.

In: International Journal of Computational Biology and Drug Design, Vol. 3, No. 1, 01.08.2010, p. 52-67.

Research output: Contribution to journalArticle

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