We have applied genomics and epigenomics to identify novel cancer-associated genes that are involved in breast cancer development. To support this activity, we developed analytic methods that can enhance signal and reduce noise. We have developed multivariate methods to discover gene expression and DNA methylation signatures that can classify tumors with different clinical phenotypes. Our expertise in data analyses and development of novel analytical methods also provide a focal point for interactions with other investigators.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Investigator-Initiated Intramural Research Projects (ZIA)
Project #
1ZIABC011250-03
Application #
8553062
Study Section
Project Start
Project End
Budget Start
Budget End
Support Year
3
Fiscal Year
2012
Total Cost
$55,626
Indirect Cost
Name
National Cancer Institute Division of Basic Sciences
Department
Type
DUNS #
City
State
Country
Zip Code
Su, Hua; Hu, Nan; Yang, Howard H et al. (2011) Global gene expression profiling and validation in esophageal squamous cell carcinoma and its association with clinical phenotypes. Clin Cancer Res 17:2955-66
Devaiah, Ballachanda N; Lu, Hanxin; Gegonne, Anne et al. (2010) Novel functions for TAF7, a regulator of TAF1-independent transcription. J Biol Chem 285:38772-80
Yang, Howard H; Hu, Nan; Wang, Chaoyu et al. (2010) Influence of genetic background and tissue types on global DNA methylation patterns. PLoS One 5:e9355
Kadota, Mitsutaka; Yang, Howard H; Gomez, Bianca et al. (2010) Delineating genetic alterations for tumor progression in the MCF10A series of breast cancer cell lines. PLoS One 5:e9201
Hu, Nan; Clifford, Robert J; Yang, Howard H et al. (2010) Genome wide analysis of DNA copy number neutral loss of heterozygosity (CNNLOH) and its relation to gene expression in esophageal squamous cell carcinoma. BMC Genomics 11:576