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.
Identifying genes progressively silenced in preneoplastic and neoplastic liver tissues.
阅读:5
作者:Archer Kellie J, Zhao Zhongming, Guennel Tobias, Maluf Daniel G, Fisher Robert A, Mas Valeria R
| 期刊: | International Journal of Computational Biology and Drug Design | 影响因子: | 0.000 |
| 时间: | 2010 | 起止号: | 2010;3(1):52-67 |
| doi: | 10.1504/IJCBDD.2010.034499 | ||
特别声明
1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。
2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。
3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。
4、投稿及合作请联系:info@biocloudy.com。
