The Genomics Facility combines the expertise and instrumentation of two previous shared resource laboratories, the Microarray Facility and the Molecular Diagnosis and Genotyping Facility, to provide an integrated set of services for DNA and RNA profiling. These services are delivered by experienced genomics professionals, including a newly strengthened and focused bioinformatics support staff. Abramson Cancer Center (ACC) members benefit from consultations and training available throughout their projects, including during experimental design and budget development, sample accrual. Facility quality control assays and lab work, data management and analyses, and manuscript preparation. The Facility supports quantitative RNA profiling by Affymetrix GeneChips, lllumina BeadChips, real-time PCR, Sequenom custom multiplex assays, and High-Throughput Genomics custom profiling. DNA profiling of custom panels of sequence polymorphisms are conducted by quantitative PCR, Sequenom assays, and lllumina GoldenGate genotyping, while whole-genome assays are available on Affymetrix SNP GeneChip and lllumina Infinium platforms. Several other services including microRNA profiling, epigenetic DNA assays, and translational molecular diagnostics for clinical research are offered using these platforms. Massively parallel sequencing on an lllumina Solexa Genome Analyzer expands existing assays with genomic coverage and resolution not previously possible, and creates opportunities for new genomics applications in cancer biology. The integration of all these services facilitates gene discovery, functional characterization, and other basic research efforts to elucidate the molecular pathogenesis of human cancers. In addition, molecular profiling at the DNA and RNA levels can be used to assist Abramson Cancer Center investigators in cancer diagnosis, subclassification, risk prediction and selection of appropriate therapy. Over 70 ACC members used the facility in the last year. ACC member usage was 34% of the total core usage. CCSG support represents 8% of the proposed core budget with the remaining funding from charge backs, grants/contracts, and institutional support.

National Institute of Health (NIH)
National Cancer Institute (NCI)
Center Core Grants (P30)
Project #
Application #
Study Section
Subcommittee G - Education (NCI)
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
University of Pennsylvania
United States
Zip Code
Taylor, Laura A; Abraham, Ronnie M; Tahirovic, Emin et al. (2017) High ALDH1 expression correlates with better prognosis in tumorigenic malignant melanoma. Mod Pathol 30:634-639
Rebecca, Vito W; Nicastri, Michael C; McLaughlin, Noel et al. (2017) A Unified Approach to Targeting the Lysosome's Degradative and Growth Signaling Roles. Cancer Discov 7:1266-1283
Till, Jacob E; Yoon, Changhwan; Kim, Bang-Jin et al. (2017) Oncogenic KRAS and p53 Loss Drive Gastric Tumorigenesis in Mice That Can Be Attenuated by E-Cadherin Expression. Cancer Res 77:5349-5359
Ewens, Kathryn G; Bhatti, Tricia R; Moran, Kimberly A et al. (2017) Phosphorylation of pRb: mechanism for RB pathway inactivation in MYCN-amplified retinoblastoma. Cancer Med 6:619-630
Chee, Wonshik; Lee, Yaelim; Im, Eun-Ok et al. (2017) A culturally tailored Internet cancer support group for Asian American breast cancer survivors: A randomized controlled pilot intervention study. J Telemed Telecare 23:618-626
Zang, Tianzhu; Taplin, Mary-Ellen; Tamae, Daniel et al. (2017) Testicular vs adrenal sources of hydroxy-androgens in prostate cancer. Endocr Relat Cancer 24:393-404
Walter, David M; Venancio, Olivia S; Buza, Elizabeth L et al. (2017) Systematic In Vivo Inactivation of Chromatin-Regulating Enzymes Identifies Setd2 as a Potent Tumor Suppressor in Lung Adenocarcinoma. Cancer Res 77:1719-1729
Carrer, Alessandro; Parris, Joshua L D; Trefely, Sophie et al. (2017) Impact of a High-fat Diet on Tissue Acyl-CoA and Histone Acetylation Levels. J Biol Chem 292:3312-3322
Fennelly, Colin; Amaravadi, Ravi K (2017) Lysosomal Biology in Cancer. Methods Mol Biol 1594:293-308
Safo, Sandra E; Li, Shuzhao; Long, Qi (2017) Integrative analysis of transcriptomic and metabolomic data via sparse canonical correlation analysis with incorporation of biological information. Biometrics :

Showing the most recent 10 out of 955 publications