Pathology Shared Resource (PSR) The Pathology Shared Resource (PSR) was created to provide Norris Cotton Cancer Center (NCCC) investigators from different backgrounds (e.g., physicians, basic scientists, diagnosticians) access to a CLIA- certified, CAP-accredited facility with standardized laboratory protocols for histologic, quantitative imaging and molecular analysis. The ultimate goal of the PSR is to provide NCCC investigators with state-of-the-art technical and professional support leading to quality results for clinical and pre-clinical studies. The PSR has consolidated institutional expertise and experience by combining responsibility for providing for and supporting both clinical and research utilization of these services. The PSR supports human tissue and cell procurement/acquisition (i.e., handling, storage, distribution and biobanking); histology and immunohistochemical analysis; molecular pathology analysis (i.e., genotyping, next-generation sequencing, quantitative PCR, tissue microarrays; cell processing services); and cytogenetics analysis. The PSR is directed by Dr. Gregory Tsongalis, who oversees a staff of 12 that includes two Research Associates, two Histotechnologists, an Apheresis Nurse, and seven additional technical specialists. The PSR is organized to identify as early as possible the needs of researchers in developing and supporting their translational research project, providing them with technical support and consultation. Further, many Pathology faculty become involved in collaborating on individual research projects by reviewing proposals, selecting appropriate tissues, designing IHC staining and molecular testing algorithms, creating tissue arrays, suggesting alternative biomarker testing, and scoring IHC expression levels. The PSR has supported NCCC Members in each of the six Research Programs: Cancer Control (2 members), Cancer Epidemiology (6 members), Cancer Mechanisms (12 members), Molecular Therapeutics (27 members), Cancer Imaging & Radiobiology (7 members), and Immunology & Cancer Immunotherapy (12 members).

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA023108-40
Application #
9616821
Study Section
Subcommittee I - Career Development (NCI)
Project Start
Project End
Budget Start
2018-12-01
Budget End
2019-11-30
Support Year
40
Fiscal Year
2019
Total Cost
Indirect Cost
Name
Dartmouth College
Department
Type
DUNS #
041027822
City
Hanover
State
NH
Country
United States
Zip Code
03755
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