Formally established in mid-2010 to address the growing demand for in-depth bioinformatics support from CCSG investigators of Roswell Park Cancer Institute, the Bioinformatics Shared Resource is a new full Shared Resource. A key mission of the Resource is to provide state-of-art bioinformatics assistance for the design, analysis, and interpretation of genomics, proteomics, and other high-resolution, high-throughput based studies for better understanding of cancer biology, thereby facilitating translation of cancer omics discoveries to cancer treatment. Services include: directing the design of high-throughput experiments, raw omics data processing, data analysis and interpretation, data mining and integration, assistance in the design and deployment of appropriate informatics infrastructure for data sharing and management, reviewing and preparing grants and manuscripts, software evaluation, new method and database development, and education and training. The bioinformatics expertise provided by the resource personnel ensures that the yield of useful information from the scientific studies conducted at RPCI is maximized while costs are minimized. The Resource leaders are Song Liu, PhD (GN), Resource Director and Vice Chair of RPCI's Department of Biostatistics and Bioinformatics, and Jianmin Wang, PhD (GN), Resource Co-Director. The Bioinformatics Resource and the Biostatistics Resource coordinate service and support activities through regular planning meetings, ensuring the CCSG investigators have full analytic coverage from clinical and preclinical biostatistics to statistical genetics and to bioinformatics, while receiving focused support on each discipline. In addition, the Resource has developed a synergistic working relationship with the Genomics, Clinical Data Network, Pathology Resource Network, and Data Bank and BioRepository Shared Resources and the Information Technology department to ensure coordination of experiment and analytics through the different phases of a cancer research project. Potential collaborators learn about the Resource via referrals by CCSG members, formal seminars given by Resource personnel, CCSG Program meetings, the Scientific Review Committee, the RPCI website, and general announcements to the Institute's scientific community. Prioritization for use is given to 1) peer-reviewed funded RPCI CCSG members;2) non-peer-reviewed funded CCSG members;3) non-members and academic collaborators;and 4) external users. During the reporting period, the Bioinformatics Shared Resource served 113 members from 6 research programs, with 37% utilization by CCSG members with peer-reviewed funding. CCSG funding comprises 5% of the overall proposed budget

Public Health Relevance

There is a huge demand for bioinformatics expertise in modern cancer research and treatment. The Bioinformatics Shared Resource ensures that CCSG investigators have ready access to expert bioinformatics support and service to carry out basic science, translational, clinical, and population-oriented research.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
2P30CA016056-37
Application #
8738367
Study Section
Subcommittee G - Education (NCI)
Project Start
1997-06-16
Project End
2019-04-30
Budget Start
2014-06-26
Budget End
2015-04-30
Support Year
37
Fiscal Year
2014
Total Cost
$71,618
Indirect Cost
$28,328
Name
Roswell Park Cancer Institute Corp
Department
Type
DUNS #
824771034
City
Buffalo
State
NY
Country
United States
Zip Code
14263
Ling, Xiang; Wu, Wenjie; Fan, Chuandong et al. (2018) An ABCG2 non-substrate anticancer agent FL118 targets drug-resistant cancer stem-like cells and overcomes treatment resistance of human pancreatic cancer. J Exp Clin Cancer Res 37:240
Chung, Sejin; Vail, Paris J; Witkiewicz, Agnieszka K et al. (2018) Coordinately targeting cell cycle checkpoint functions in integrated models of pancreatic cancer. Clin Cancer Res :
Eng, Diana G; Kaverina, Natalya V; Schneider, Remington R S et al. (2018) Detection of renin lineage cell transdifferentiation to podocytes in the kidney glomerulus with dual lineage tracing. Kidney Int 93:1240-1246
Hsu, Alice H; Lum, Michelle A; Shim, Kang-Sup et al. (2018) Crosstalk between PKC? and PI3K/AKT Signaling Is Tumor Suppressive in the Endometrium. Cell Rep 24:655-669
Sandlesh, Poorva; Juang, Thierry; Safina, Alfiya et al. (2018) Uncovering the fine print of the CreERT2-LoxP system while generating a conditional knockout mouse model of Ssrp1 gene. PLoS One 13:e0199785
Mohammadpour, Hemn; O'Neil, Rachel; Qiu, Jingxin et al. (2018) Blockade of Host ?2-Adrenergic Receptor Enhances Graft-versus-Tumor Effect through Modulating APCs. J Immunol 200:2479-2488
Damayanti, Nur P; Budka, Justin A; Khella, Heba W Z et al. (2018) Therapeutic Targeting of TFE3/IRS-1/PI3K/mTOR Axis in Translocation Renal Cell Carcinoma. Clin Cancer Res 24:5977-5989
Mayor, Paul; Starbuck, Kristen; Zsiros, Emese (2018) Adoptive cell transfer using autologous tumor infiltrating lymphocytes in gynecologic malignancies. Gynecol Oncol 150:361-369
Zhang, Dingxiao; Zhao, Shuhong; Li, Xinyun et al. (2018) Prostate Luminal Progenitor Cells in Development and Cancer. Trends Cancer 4:769-783
Hong, Chi-Chen; Sucheston-Campbell, Lara E; Liu, Song et al. (2018) Genetic Variants in Immune-Related Pathways and Breast Cancer Risk in African American Women in the AMBER Consortium. Cancer Epidemiol Biomarkers Prev 27:321-330

Showing the most recent 10 out of 1555 publications