Bioinformatics is critical for any cancer center, allowing researchers to tap the ever-growing data sets afforded by new cancer research technologies. However daunting, massive data sets are being created, must be analyzed, and need to be related to translafional and clinical end points. LCCC expertise in this area began with the genomics program, particularly gene expression microarray analysis. By necessity, the personnel, computafional infrastructure, and broad faculty expertise was built through internal and external recruitment. In the last three years, capabilifies rapidly expanded to capture clinical data and annotate specimens. The Lineberger Data Warehouse (LDW) was created to allow Interactive use of mulfiple oracle based data repositories. With this expanded staff and mission, the genomics and bioinformatics were divided into two resources. The relafionships between the Bioinformatics, Biostatisfics and Data Management, Genomics and the new Next Generafion and Genotyping Core will be seamless. The Bioinformafic Core's goals are to confinue to provide bioinformafics tools, databases for the storage and analysis of genomic data, for the storage and analysis of clinical/pafient data, and to provide tools to link these disfinct data types together to foster translational research discoveries. Incorporafion of new enfifies, such as the Cancer Survivorship Cohort, is occurring. The key element remains the Bioinformafics Core Central Patient Registry which provides and tracks all pafients after assigning a unique research identifier. The group has significant experience with genomic database development and curation, genomic data analysis and tool development, clinical database development, and linking these together through the LDW. The core will expand capabilifies to include new genomic plafi'orms and new clinical databases/tumor types. The core requests $270,568, representing 13% of its total operating costs to accomplish its ambitious goals. All core use in 2009 was by members. The co-directors, Drs. Perou and Hayes, are leaders in genomic analysis and its integration with clinical endpoints.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
2P30CA016086-35
Application #
8340336
Study Section
Subcommittee G - Education (NCI)
Project Start
2011-05-23
Project End
2015-11-30
Budget Start
2011-05-23
Budget End
2011-11-30
Support Year
35
Fiscal Year
2011
Total Cost
$286,287
Indirect Cost
Name
University of North Carolina Chapel Hill
Department
Type
DUNS #
608195277
City
Chapel Hill
State
NC
Country
United States
Zip Code
27599
Conway, Kathleen; Edmiston, Sharon N; Parrish, Eloise et al. (2017) Breast tumor DNA methylation patterns associated with smoking in the Carolina Breast Cancer Study. Breast Cancer Res Treat 163:349-361
Williams, Lindsay A; Olshan, Andrew F; Hong, Chi-Chen et al. (2017) Alcohol Intake and Breast Cancer Risk in African American Women from the AMBER Consortium. Cancer Epidemiol Biomarkers Prev 26:787-794
Quach, Bryan; Furey, Terrence S (2017) DeFCoM: analysis and modeling of transcription factor binding sites using a motif-centric genomic footprinter. Bioinformatics 33:956-963
Wang, Sheng; Wacker, Daniel; Levit, Anat et al. (2017) D4 dopamine receptor high-resolution structures enable the discovery of selective agonists. Science 358:381-386
Westmoreland, Katherine D; Montgomery, Nathan D; Stanley, Christopher C et al. (2017) Plasma Epstein-Barr virus DNA for pediatric Burkitt lymphoma diagnosis, prognosis and response assessment in Malawi. Int J Cancer 140:2509-2516
Kang, SunAh; Fedoriw, Yuri; Brenneman, Ethan K et al. (2017) BAFF Induces Tertiary Lymphoid Structures and Positions T Cells within the Glomeruli during Lupus Nephritis. J Immunol 198:2602-2611
Ehe, Ben K; Lamson, David R; Tarpley, Michael et al. (2017) Identification of a DYRK1A-mediated phosphorylation site within the nuclear localization sequence of the hedgehog transcription factor GLI1. Biochem Biophys Res Commun 491:767-772
Krishnaiah, Saikumari Y; Wu, Gang; Altman, Brian J et al. (2017) Clock Regulation of Metabolites Reveals Coupling between Transcription and Metabolism. Cell Metab 25:961-974.e4
Shutova, Maria S; Asokan, Sreeja B; Talwar, Shefali et al. (2017) Self-sorting of nonmuscle myosins IIA and IIB polarizes the cytoskeleton and modulates cell motility. J Cell Biol 216:2877-2889
Evon, Donna M; Golin, Carol E; Stewart, Paul et al. (2017) Patient engagement and study design of PROP UP: A multi-site patient-centered prospective observational study of patients undergoing hepatitis C treatment. Contemp Clin Trials 57:58-68

Showing the most recent 10 out of 1197 publications