Abstract

The Program will generate large sets of data or diverse types that will have to be stored, made accessible to reach of the Projects, and analyzed for molecular signatures. The goals of this Core are to develop and maintain appropriate databases that will include both gene expression data, sequence analysis data, and clinical and patient-derived data; to provide the means for key personnel in all Projects to access and analyze this data by implementing the methods developed in Project 3 with easily accessible, """"""""user-friendly"""""""" software; to provide statistical and programming support to the Projects; and to participate in the design and deployment of uniform methods for the coordinated public disclosure of data by all NCTSGs, in collaboration with NCI staff. In this Core we have brought together a highly talented and experienced team of experts in informatics, database management, statistics, computer programming and molecular biology to attain these goals.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Program--Cooperative Agreements (U19)
Project #
1U19CA084978-01A1
Application #
6458312
Study Section
Special Emphasis Panel (ZCA1)
Project Start
2001-04-06
Project End
2005-03-31
Budget Start
Budget End
Support Year
1
Fiscal Year
2001
Total Cost
Indirect Cost

  Institution

Name
University of Texas MD Anderson Cancer Center
Department
Type
DUNS #
001910777
City
Houston
State
TX
Country
United States
Zip Code
77030

  Publications

Abel, E L; Boulware, S; Fields, T et al. (2013) Sulforaphane induces phase II detoxication enzymes in mouse skin and prevents mutagenesis induced by a mustard gas analog. Toxicol Appl Pharmacol 266:439-42
Abba, M C; Lacunza, E; Nunez, M I et al. (2009) Rhomboid domain containing 2 (RHBDD2): a novel cancer-related gene over-expressed in breast cancer. Biochim Biophys Acta 1792:988-97
Abba, Martín C; Hu, Yuhui; Levy, Carla C et al. (2009) Identification of modulated genes by three classes of chemopreventive agents at preneoplastic stages in a p53-null mouse mammary tumor model. Cancer Prev Res (Phila) 2:175-84
Wang, Aijin; Arantes, Stacey; Yan, Leqin et al. (2008) The transcription factor ATF3 acts as an oncogene in mouse mammary tumorigenesis. BMC Cancer 8:268
Abba, Martin C; Sun, Hongxia; Hawkins, Kathleen A et al. (2007) Breast cancer molecular signatures as determined by SAGE: correlation with lymph node status. Mol Cancer Res 5:881-90
Abba, Martin C; Fabris, Victoria T; Hu, Yuhui et al. (2007) Identification of novel amplification gene targets in mouse and human breast cancer at a syntenic cluster mapping to mouse ch8A1 and human ch13q34. Cancer Res 67:4104-12
Abba, Martin C; Nunez, Maria I; Colussi, Andrea G et al. (2006) GATA3 protein as a MUC1 transcriptional regulator in breast cancer cells. Breast Cancer Res 8:R64
Spyres, Lea; Gaddis, Sally; Bedford, Ella et al. (2005) Quantitative high-throughput measurement of gene expression with sub-zeptomole sensitivity by capillary electrophoresis. Anal Biochem 345:284-95
Abba, Martin C; Hu, Yuhui; Sun, Hongxia et al. (2005) Gene expression signature of estrogen receptor alpha status in breast cancer. BMC Genomics 6:37
Baggerly, Keith A; Deng, Li; Morris, Jeffrey S et al. (2004) Overdispersed logistic regression for SAGE: modelling multiple groups and covariates. BMC Bioinformatics 5:144

Showing the most recent 10 out of 15 publications