The Gene Expression Resource (GER) was established with the successful recruitment of Lesleyann Hawthorn, PhD in 2001. The Resource has flourished since that time with a broad base of satisfied users whose continued patronage is derived from a unique approach to microarray experimentation. Its success is largely due to a commitment to provide researchers with high-quality microarray data with the added advantage of data analysis so that the results provided to the individual researchers are in a usable format, unlike most array-based facilities. Dr Hawthorn and the GER staff keep abreast of emerging technologies to provide users with a broad range of expertise and options. This success is substantiated by a large user base, publications and awarded grants. The Resource is functionally divided into Gene Expression, Genotyping, and Copy Number Analysis at the genomics level. At the level of individual chromosomal regions or specific genes, it offers mutation/polymorphism analysis, SNP validation and discovery, expression level quantification and analysis of methylation status. Most importantly, the Resource offers data analysis for all the platforms that it supports and provides expertise, time and funding for the development of novel technologies. For example, Exon array analysis has been developed which allows simultaneous detection of gene expression and alternative splicing events. Furthermore, the Resource is now able to run Whole-Genome Tiling arrays, which permit the highest-resolution Chip-on-Chip analysis as well as the detection of novel transcripts in genomic DNA. During the last few years, the Resource has been working on innovative approaches to the analysis of genomics data. One of these centers on the high-density SNP arrays that offer the highest density genotyping, as well as simultaneous CGH analysis with accompanying LOH analysis. Gene Expression has been using these arrays to look for gains and losses of chromosomal regions (CGH). The ability of the SNP Mapping arrays to detect standard cytogenetic abnormalities represents a major advancement over conventional karyotyping. The GER has collaborated with Dr Cowell's group (GN) to develop statistical analysis tools that permit the overlay of gene expression data with aCGH data, thus enhancing the power of both these technologies. Members of the six CCSG programs utilized this Resource over the last project period. The Resource was instrumental in enhanced peer-reviewed funding, publications and recruitment efforts. It is anticipated that with the new recruitment into the CSBT Program (Dr Gudkov), MTET Program (Dr Adjei), and Til (Dr Lee) the utilization of the Resource will expand. The Resource is used by all six Programs and 98% of users are CCSG members. $80,355 in CCSG support is requested, representing 11% of the total operating budget.

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
Roswell Park Cancer Institute Corp
United States
Zip Code
Wilton, John; Kurenova, Elena; Pitzonka, Laura et al. (2016) Pharmacokinetic analysis of the FAK scaffold inhibitor C4 in dogs. Eur J Drug Metab Pharmacokinet 41:55-67
Zhao, Zhiguo; Wen, Wanqing; Michailidou, Kyriaki et al. (2016) Association of genetic susceptibility variants for type 2 diabetes with breast cancer risk in women of European ancestry. Cancer Causes Control 27:679-93
Goossens, Maria E; Isa, Fatima; Brinkman, Maree et al. (2016) International pooled study on diet and bladder cancer: the bladder cancer, epidemiology and nutritional determinants (BLEND) study: design and baseline characteristics. Arch Public Health 74:30
Clyde, Merlise A; Palmieri Weber, Rachel; Iversen, Edwin S et al. (2016) Risk Prediction for Epithelial Ovarian Cancer in 11 United States-Based Case-Control Studies: Incorporation of Epidemiologic Risk Factors and 17 Confirmed Genetic Loci. Am J Epidemiol 184:579-589
Austin, David C; Strand, Douglas W; Love, Harold L et al. (2016) NF-κB and androgen receptor variant 7 induce expression of SRD5A isoforms and confer 5ARI resistance. Prostate 76:1004-18
Sexton, Sandra; Tulowitzki, Ryan; Jones, Craig A et al. (2016) Involvement of the renin-angiotensin system in the development of nephrogenic systemic fibrosis-like lesions in the RenTag mouse model. Clin Exp Nephrol 20:162-8
Shafirstein, Gal; Battoo, Athar; Harris, Kassem et al. (2016) Photodynamic Therapy of Non-Small Cell Lung Cancer. Narrative Review and Future Directions. Ann Am Thorac Soc 13:265-75
Pharoah, Paul D P; Song, Honglin; Dicks, Ed et al. (2016) PPM1D Mosaic Truncating Variants in Ovarian Cancer Cases May Be Treatment-Related Somatic Mutations. J Natl Cancer Inst 108:
Bistulfi, Gaia; Affronti, Hayley C; Foster, Barbara A et al. (2016) The essential role of methylthioadenosine phosphorylase in prostate cancer. Oncotarget 7:14380-93
Rohrbach, Daniel J; Rigual, Nestor; Arshad, Hassan et al. (2016) Intraoperative optical assessment of photodynamic therapy response of superficial oral squamous cell carcinoma. J Biomed Opt 21:18002

Showing the most recent 10 out of 1099 publications