) The Genetics/Genomics Core is organized to provide both consultation and state-of-the-art technologies and data interpretation in genomics and bioinformatics. Core scientists interact with CCC researchers at the design phase of projects and assist in incorporating genomics approaches by a) generation of preliminary data, b) writing methodologies, c) high throughput implementation of technology, and d) data mining in public and proprietary databases. The Core supports research investigating genetic elements responsible for cancer susceptibility and genetic factors involved in neoplastic initiation and progression. Existing Core technologies include: 1) high-throughput DNA sequencing and genotyping (ABI 3700); 2) real-time quantitative PCR for mRNA and/or DNA (ABI 7700); 3) high-volume microsatellite-repeat genotyping (ABI 377s) and SNP analysis (ABI TaqMan7700); 4) rapid, inexpensive 96-well-based polymorphism/mutation hunting with HPLC heteroduplexing (WAVE); 5) 24-fluor color SKY painting of chromosomes; 6) FISH gene mapping to chromosomes; 7) Comparative Genome Hybridization (CGH); and 8) high throughput robotic assistance in picking and arraying clones, growing large library collections, and general liquid handling; 9) single cell micromanipulation and molecular/cytogenetics; and 10) gene expression profiling using in-house microprinted glass microarrays of the entire (up-to-date UNIGENE) human and rat EST collections. The facility is Certified by federal (CLIA-88), state (DoH), and professional societies (ASHG and CAP) for data integrity. Bioinformatics is a critical component of any genomics and proteomics facility and the Core operates, in partnership with PE-Informatics, software for a) sample acquisition and tracking, correlation with clinical information, work assignment, clone/plate management and raw data reporting (SQL*LIMS & SQL*GT); b) data mining tools (extensive software); and c) systems microarray and sequence analysis (GeneKeeper) and sophisticated publish/subscribe/share capability throughout the CCC (BioMerge). The Core has onsite, a 40-gigabite database of sequence data accessible with these software tools, a UNIX based SGI supercomputer and multiple SUN workstations linked to researchers via a GigaPoP fiber backbone. Bioinformatics personnel include an OS system manager, Oracle databasers, application specialists, and technology-specific project managers.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA022453-23
Application #
6573369
Study Section
Subcommittee E - Prevention &Control (NCI)
Project Start
2001-12-01
Project End
2002-11-30
Budget Start
Budget End
Support Year
23
Fiscal Year
2002
Total Cost
Indirect Cost
Name
Wayne State University
Department
Type
DUNS #
City
Detroit
State
MI
Country
United States
Zip Code
48202
Ma, Huiyan; Ursin, Giske; Xu, Xinxin et al. (2018) Body mass index at age 18 years and recent body mass index in relation to risk of breast cancer overall and ER/PR/HER2-defined subtypes in white women and African-American women: a pooled analysis. Breast Cancer Res 20:5
Mitrea, Cristina; Wijesinghe, Priyanga; Dyson, Greg et al. (2018) Integrating 5hmC and gene expression data to infer regulatory mechanisms. Bioinformatics 34:1441-1447
Simon, Michael S; Beebe-Dimmer, Jennifer L; Hastert, Theresa A et al. (2018) Cardiometabolic risk factors and survival after breast cancer in the Women's Health Initiative. Cancer 124:1798-1807
Luca, Francesca; Kupfer, Sonia S; Knights, Dan et al. (2018) Functional Genomics of Host-Microbiome Interactions in Humans. Trends Genet 34:30-40
Hastert, T A; de Oliveira Otto, M C; Lê-Scherban, F et al. (2018) Association of plasma phospholipid polyunsaturated and trans fatty acids with body mass index: results from the Multi-Ethnic Study of Atherosclerosis. Int J Obes (Lond) 42:433-440
Bock, Cathryn H; Jay, Allison M; Dyson, Gregory et al. (2018) The effect of genetic variants on the relationship between statins and breast cancer in postmenopausal women in the Women's Health Initiative observational study. Breast Cancer Res Treat 167:741-749
Mittal, Sandeep; Klinger, Neil V; Michelhaugh, Sharon K et al. (2018) Alternating electric tumor treating fields for treatment of glioblastoma: rationale, preclinical, and clinical studies. J Neurosurg 128:414-421
Park, Hyo K; Schildkraut, Joellen M; Alberg, Anthony J et al. (2018) Benign gynecologic conditions are associated with ovarian cancer risk in African-American women: a case-control study. Cancer Causes Control 29:1081-1091
Heyza, Joshua; Lei, Wen; Watza, Donovan et al. (2018) Identification and characterization of synthetic viability with ERCC1 deficiency in response to interstrand crosslinks in lung cancer. Clin Cancer Res :
Bonomi, Robin; Popov, Vadim; Laws, Maxwell T et al. (2018) Molecular Imaging of Sirtuin1 Expression-Activity in Rat Brain Using Positron-Emission Tomography-Magnetic-Resonance Imaging with [18F]-2-Fluorobenzoylaminohexanoicanilide. J Med Chem 61:7116-7130

Showing the most recent 10 out of 826 publications