The Genomics Core is organized to provide both consultation and state-of-the-art technologies and data interpretation in genomics. 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 Imethodologies, 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, 377, 3100);2) real-time quantitative PCR for mRNA and/or DNA (ABI 7900);3) high-volume microsatellite-repeat genotyping (ABI 377, 3100) land SNP analysis (ABI 7900);4) rapid, inexpensive 96-well-based polymorphism/mutation hunting with HPLC heteroduplexing (Transgenomics WAVE);5) high throughput robotic assistance in picking and arraying clones, growing large library collections, and general liquid handling;6) gene expression analysis using Affymetrix GeneChip arrays, and 7) gene expression profiling using in-house microprinted glass microarrays. Informatics is a critical component of any genomics facility and the Core operates software for sample acquisition and tracking, correlation with clinical information, work assignment, clone/plate management and raw data reporting (SQL*LIMS &SQL*GT) and data mining tools. The instruments are connected directly to the database servers for automated data collection (SQL*LIMS and GCOS). The Core's ethernet network is connected to the WSU campus gigabit ring. Informatics personnel include a systems administrator, Oracle database programmers, application specialists, and technology-specific project managers.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA022453-28
Application #
7742210
Study Section
Subcommittee G - Education (NCI)
Project Start
Project End
Budget Start
2008-12-01
Budget End
2009-11-30
Support Year
28
Fiscal Year
2009
Total Cost
$142,272
Indirect Cost
Name
Wayne State University
Department
Type
DUNS #
001962224
City
Detroit
State
MI
Country
United States
Zip Code
48202
Burl, Rayanne B; Ramseyer, Vanesa D; Rondini, Elizabeth A et al. (2018) Deconstructing Adipogenesis Induced by ?3-Adrenergic Receptor Activation with Single-Cell Expression Profiling. Cell Metab 28:300-309.e4
Dedigama-Arachchige, Pavithra M; Acharige, Nuwan P N; Pflum, Mary Kay H (2018) Identification of PP1-Gadd34 substrates involved in the unfolded protein response using K-BIPS, a method for phosphatase substrate identification. Mol Omics 14:121-133
Thakur, Manish K; Ruterbusch, Julie J; Schwartz, Ann G et al. (2018) Risk of Second Lung Cancer in Patients with Previously Treated Lung Cancer: Analysis of Surveillance, Epidemiology, and End Results (SEER) Data. J Thorac Oncol 13:46-53
Desai, Pinkal; Wallace, Robert; Anderson, Matthew L et al. (2018) An analysis of the association between statin use and risk of endometrial and ovarian cancers in the Women's Health Initiative. Gynecol Oncol 148:540-546
Mitrea, Cristina; Wijesinghe, Priyanga; Dyson, Greg et al. (2018) Integrating 5hmC and gene expression data to infer regulatory mechanisms. Bioinformatics 34:1441-1447
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
Luca, Francesca; Kupfer, Sonia S; Knights, Dan et al. (2018) Functional Genomics of Host-Microbiome Interactions in Humans. Trends Genet 34:30-40
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
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
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

Showing the most recent 10 out of 826 publications