The Jackson Laboratory Cancer Center (JAXCC) provides a unique concentration of genetic and genomic expertise focusing on applications of murine model systems and systems genomics in addressing cancer questions. The JAXCC has 47 members in one Research Program, Genetic Models for Precision Cancer Medicine, comprising 3 related themes in cancer cell robustness, genetic and genomic complexity, and progenitor cell biology. Collectively, we seek to determine the molecular drivers of intrinsic cancer resistance, cancer evolution, adaptation, and self-renewal. Innovations In genomic technologies, computational analytics and mouse models for human cancers are integral to all themes, providing a robust interdisciplinary structure. The JAXCC now operates on 3 campuses: JAX Mammalian Genetics (Bar Harbor, ME) with a focus on mouse models for complex genetics; JAX Genomic Medicine (Farmington, CT), with a focus on human cancer genomics; and JAX-West (Sacramento, CA) with a focus on pre-clinical trials using patient-derived-xenograft (PDX) mouse models of human cancer. The scientific leadership of JAX has direct oversight of the Cancer Center: Dr. Edison Liu is President and CEO of JAX and Director of the JAXCC. Dr. Robert Braun Is Vice President for Research of JAX and Deputy Director of the Cancer Center. Drs. Carol Bult, Chengkai Dai and Frank McKeon are co-programming Leaders. Associate Directors for Regional Translational Partnerships (Dr. Kevin Mills) and Research Administration (Dr. Barbara Tennent) expand the leadership structure. A dedicated 7-member External Advisory Board (EAB) advises them. The new leadership, combined with recruitment of new senior and junior investigators, and a significant increase in institutional resources for cancer research heightens the impact ofthe JAXCC. This has been realized In the expanded JAXCC translational outreach through regional and national partnerships (e.g., SWOG). Support is requested for Shared Resources: a) Computational Sciences, for advanced computational and statistical analysis; b) Genome Technologies, for innovations in next generation sequencing, and in metabolomic and proteomic analyses; c) Cancer Model Development for consultation and project management in developing new models; d) Genetic Engineering Technologies for manipulating germline and somatic gene expression in mice; and e) Phenotyping Technologies for microscopy, cytogenetics, clinical assessment, histology and flow cytometry. Funds are also requested for support of annual EAB meetings and JAXCC member retreats. Developmental funds significantly supplemented by institutional funds are requested for a pilot project program to stimulate new cancer research opportunities and for support of new investigators to the JAXCC.

Public Health Relevance

to public health: More than 1.3 million people in the United States are likely to be diagnosed with cancer this year. Strategies for identifying cancer at the earliest stages and preventing their progression are urgently needed. For advanced cancers, combinations of drugs targeted to the specific drivers of cancer progression are needed to slow or cure the disease. The JAXCC performs research to support these aims.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA034196-32
Application #
9298392
Study Section
Subcommittee I - Transistion to Independence (NCI)
Program Officer
Belin, Precilla L
Project Start
1997-08-01
Project End
2019-06-30
Budget Start
2017-07-01
Budget End
2018-06-30
Support Year
32
Fiscal Year
2017
Total Cost
Indirect Cost
Name
Jackson Laboratory
Department
Type
DUNS #
042140483
City
Bar Harbor
State
ME
Country
United States
Zip Code
04609
Gong, Liang; Wong, Chee-Hong; Cheng, Wei-Chung et al. (2018) Picky comprehensively detects high-resolution structural variants in nanopore long reads. Nat Methods 15:455-460
Noorbakhsh, Javad; Kim, Hyunsoo; Namburi, Sandeep et al. (2018) Distribution-based measures of tumor heterogeneity are sensitive to mutation calling and lack strong clinical predictive power. Sci Rep 8:11445
Gatti, D M; Weber, S N; Goodwin, N C et al. (2018) Genetic background influences susceptibility to chemotherapy-induced hematotoxicity. Pharmacogenomics J 18:319-330
deCarvalho, Ana C; Kim, Hoon; Poisson, Laila M et al. (2018) Discordant inheritance of chromosomal and extrachromosomal DNA elements contributes to dynamic disease evolution in glioblastoma. Nat Genet 50:708-717
Mistri, Tapan Kumar; Arindrarto, Wibowo; Ng, Wei Ping et al. (2018) Dynamic changes in Sox2 spatio-temporal expression promote the second cell fate decision through Fgf4/Fgfr2 signaling in preimplantation mouse embryos. Biochem J 475:1075-1089
Leidy-Davis, Tiffany; Cheng, Kai; Goodwin, Leslie O et al. (2018) Viable Mice with Extensive Gene Humanization (25-kbp) Created Using Embryonic Stem Cell/Blastocyst and CRISPR/Zygote Injection Approaches. Sci Rep 8:15028
Raghupathy, Narayanan; Choi, Kwangbom; Vincent, Matthew J et al. (2018) Hierarchical analysis of RNA-seq reads improves the accuracy of allele-specific expression. Bioinformatics 34:2177-2184
Presa, Maximiliano; Racine, Jeremy J; Dwyer, Jennifer R et al. (2018) A Hypermorphic Nfkbid Allele Contributes to Impaired Thymic Deletion of Autoreactive Diabetogenic CD8+ T Cells in NOD Mice. J Immunol 201:1907-1917
Pullagura, Sri Ramulu N; Buaas, Bill; Gray, Nichelle et al. (2018) Functional Redundancy of DICER Cofactors TARBP2 and PRKRA During Murine Embryogenesis Does Not Involve miRNA Biogenesis. Genetics 208:1513-1522
Cho, Sung-Yup; Sung, Chang Ohk; Chae, Jeesoo et al. (2018) Alterations in the Rho pathway contribute to Epstein-Barr virus-induced lymphomagenesis in immunosuppressed environments. Blood 131:1931-1941

Showing the most recent 10 out of 1156 publications