The Genomics Shared Resource has operated since 2002 as a core facility. The GSR was developed within the NCCC as a resource to meet the research needs of the NCCC but has expanded its reach to provide services to the entire Dartmouth research community. The major objectives of the GSR are to: (1) implement state-of-the-art high-throughput technologies for the global analysis of gene regulation and expression;(2) develop a competitive low-cost structure for microarray services that would promote use by NCCC investigators;and (3) develop new technologies to exploit additional avenues in genomics. Services currently offered by the GSR include (1) analysis of RNA samples to determine quality, amount, and purity;(2) experimental design consultations in conjunction with the Biostatistics and Bioinformatics Snared Resources; (3) Affymetrix gene expression profiling;(4) Agilent gene expression profiling;(5) Agilent miRNA arrays;(6) Agilent CGH arrays from frozen and FFPE samples;and (7) Agilent CpG island arrays. Services that are to be offered in the next year include: ChlP-on-chip arrays, Agilent genome tiling arrays, and SNP analysis. Information and ordering by the investigator is available electronically via the interactive website , which was established in 2006. Some of the new technologies being developed at the GSR include the use of microarrays to determine global transcription rates, hnRNA processing, cytoplasmic turnover rates, polysome entry rates, and differential nuclear vs. cytoplasmic steady-state RNA levels. During the fiscal year ending in 2007,14 NCCC members and their laboratories (of a total of 24 laboratories at Dartmouth) used the GSR with services valued at $238,000 (-65% of $366,410 total revenues). The overall goal of the GSR is to provide NCCC researchers with state-of-the-art technical support and services for their cancer research at as low a cost as possible so that they can successfully achieve their research objectives.

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
Dartmouth College
United States
Zip Code
Emond, Jennifer A; Tovar, Alison; Li, Zhigang et al. (2017) FTO genotype and weight status among preadolescents: Assessing the mediating effects of obesogenic appetitive traits. Appetite 117:321-329
Rapuano, Kristina M; Zieselman, Amanda L; Kelley, William M et al. (2017) Genetic risk for obesity predicts nucleus accumbens size and responsivity to real-world food cues. Proc Natl Acad Sci U S A 114:160-165
Carroll, A M; Cheng, R; Collie-Duguid, E S R et al. (2017) Fine-mapping of genes determining extrafusal fiber properties in murine soleus muscle. Physiol Genomics 49:141-150
Fang, Jun; Jia, Jinping; Makowski, Matthew et al. (2017) Functional characterization of a multi-cancer risk locus on chr5p15.33 reveals regulation of TERT by ZNF148. Nat Commun 8:15034
Pan, Yongchu; Liu, Hongliang; Wang, Yanru et al. (2017) Associations between genetic variants in mRNA splicing-related genes and risk of lung cancer: a pathway-based analysis from published GWASs. Sci Rep 7:44634
Rothwell, Simon; Cooper, Robert G; Lundberg, Ingrid E et al. (2017) Immune-Array Analysis in Sporadic Inclusion Body Myositis Reveals HLA-DRB1 Amino Acid Heterogeneity Across the Myositis Spectrum. Arthritis Rheumatol 69:1090-1099
Hampsch, Riley A; Shee, Kevin; Bates, Darcy et al. (2017) Therapeutic sensitivity to Rac GTPase inhibition requires consequential suppression of mTORC1, AKT, and MEK signaling in breast cancer. Oncotarget 8:21806-21817
Barr, Paul J; Forcino, Rachel C; Thompson, Rachel et al. (2017) Evaluating CollaboRATE in a clinical setting: analysis of mode effects on scores, response rates and costs of data collection. BMJ Open 7:e014681
Melin, Beatrice S; Barnholtz-Sloan, Jill S; Wrensch, Margaret R et al. (2017) Genome-wide association study of glioma subtypes identifies specific differences in genetic susceptibility to glioblastoma and non-glioblastoma tumors. Nat Genet 49:789-794
Adachi-Mejia, Anna M; Lee, Chanam; Lee, Chunkuen et al. (2017) Geographic variation in the relationship between body mass index and the built environment. Prev Med 100:33-40

Showing the most recent 10 out of 1659 publications