The mission of the Bioinformatics Core (BIC) is to provide bioinformatics support for diverse approaches to cancer research in the COHCCC. The BIC collaborates with COHCCC governance committees to promulgate standards, optimize systems and minimize redundancy through continued integration of data, databases, applications and processes for enabling cost effective, collaborative, translational research. Since the last competitive renewal, the BIC has been working with experts in the field to establish a scalable high performance cyber-infrastructure equipped with close to 500 TB tiered storage repository with high bandwidth network connection, integrated cloud computing with internal TBs shared memory servers with more than 4000 hyper-threaded CPU and GPGPU processors, and external cloud computing to maximize both our infrastructure investment and provide infrastructure-on-demand. In addition, the BIC provides integrated laboratory information management systems (LIMS), which harbor research information portals shared among multiple core facilities (e.g., Functional Genomics and Genomic Sequencing, Drug Discovery and Structural Biology, Analytical Cytometry, Small Animal Imaging, and the developing Proteomics and Translational Research cores). The BIC also provides researchers with high-throughput biological data analysis, including integration with high-quality publicly available multi-disease, multi-cohort gene expression datasets. With highly-trained staff working in multidisciplinary teams, the BIC facilitates experimental design, QC/QA, data analysis, integration, annotation, dissemination, visualization and training for researchers. A new subscription-based chargeback policy was implemented in 2009 to offer tiered services to COHCCC members to be included in their grant proposals for adequate chargeback. The usage has nearly doubled from 45 subscribers in 2008 to 78 in 2010, and chargeback revenue has tripled from $46,487 in 2008 to $141,078 in 2010. Between 2007 and 2011, the BIC was used by a total of 88 principal investigators, 67 of whom are COHCCC members, and BIC staff collectively co-authored 52 peer-reviewed publications. The BIC's ongoing goal is to foster comprehensive bioinformatics support for researchers to enable collaborations among, basic, translational, clinical and population sciences researchers.

Public Health Relevance

The overall goal of the Bioinformatics Core facility is to provide COHCCC investigators with high-throughput biological data analysis tools, data management and cyber-infrastructure, and training to foster collaborations and develop modern computational techniques. This goal enables the Cancer Center's mission of developing innovative new disease-fighting strategies in the battle against cancer.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
2P30CA033572-30
Application #
8450536
Study Section
Subcommittee G - Education (NCI)
Project Start
1997-08-01
Project End
2017-11-30
Budget Start
2013-04-25
Budget End
2013-11-30
Support Year
30
Fiscal Year
2013
Total Cost
$188,453
Indirect Cost
$76,279
Name
City of Hope/Beckman Research Institute
Department
Type
DUNS #
027176833
City
Duarte
State
CA
Country
United States
Zip Code
91010
Miao, Yifei; Ajami, Nassim E; Huang, Tse-Shun et al. (2018) Enhancer-associated long non-coding RNA LEENE regulates endothelial nitric oxide synthase and endothelial function. Nat Commun 9:292
Sen, Subha; Wang, Fei; Zhang, Jing et al. (2018) SRC1 promotes Th17 differentiation by overriding Foxp3 suppression to stimulate ROR?t activity in a PKC-?-dependent manner. Proc Natl Acad Sci U S A 115:E458-E467
Murad, John P; Kozlowska, Anna K; Lee, Hee Jun et al. (2018) Effective Targeting of TAG72+ Peritoneal Ovarian Tumors via Regional Delivery of CAR-Engineered T Cells. Front Immunol 9:2268
Brown, Christine E; Aguilar, Brenda; Starr, Renate et al. (2018) Optimization of IL13R?2-Targeted Chimeric Antigen Receptor T Cells for Improved Anti-tumor Efficacy against Glioblastoma. Mol Ther 26:31-44
Fujita-Yamaguchi, Yoko; Bagramyan, Karine; Yamaguchi, Yoshiki et al. (2018) Mass spectrometric revival of an l-rhamnose- and d-galactose-specific lectin from a lost strain of Streptomyces. J Biol Chem 293:368-378
Kanteti, Rajani; Mirzapoiazova, Tamara; Riehm, Jacob J et al. (2018) Focal adhesion kinase a potential therapeutic target for pancreatic cancer and malignant pleural mesothelioma. Cancer Biol Ther 19:316-327
Smith, Laura J; Wright, Jason; Clark, Gabriella et al. (2018) Stem cell-derived clade F AAVs mediate high-efficiency homologous recombination-based genome editing. Proc Natl Acad Sci U S A 115:E7379-E7388
Leung, Amy; Trac, Candi; Kato, Hiroyuki et al. (2018) LTRs activated by Epstein-Barr virus-induced transformation of B cells alter the transcriptome. Genome Res 28:1791-1798
Tobin, Steven J; Wakefield, Devin L; Jones, Veronica et al. (2018) Single molecule localization microscopy coupled with touch preparation for the quantification of trastuzumab-bound HER2. Sci Rep 8:15154
Chin, Andrew R; Yan, Wei; Cao, Minghui et al. (2018) Polarized Secretion of Extracellular Vesicles by Mammary Epithelia. J Mammary Gland Biol Neoplasia 23:165-176

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