The long-term goal ofthe research program. Genetic Models for Precision Cancer Medicine (Drs. Bult, Dai, and McKeon co-Leaders), is to develop novel therapeutic and diagnostic concepts for cancer by modeling and interrogating the complex genomics of human cancers. Research is organized around three inter-related themes, all of which involve the systems genomics ofthe cancer cell and its host environment. The first theme. Cancer Cell Robustness, aims to define the dynamic genome alterations at a systems level that generate primary drug resistance in a cancer and its subclones. The second theme. Genetic and Genomic Complexity, aims to measure and quantify genomic instability in primary cancers;to describe the associated genomic configurations;and to use defective maintenance systems for genome integrity for therapeutic advantage. The third theme. Progenitor Cell Biology, aims to define the genomic parameters of certain cancer progenitors;to reconstruct cancer states in primary cells using systems approaches;and to use this knowledge to provide effective combinatorial therapeutics. All program goals rely on interactions with program members who are developing advanced cross cutting technological approaches. The first approach, precision model development, includes efficient methods for humanizing cancer-relevant genomic regions in the mouse;tool strains for directing and visualizing temporal and tissue-specific gene expression;optimized immunodeficient mice for sustained engraftment of primary human cancers;and populations of mice that model human genomic heterogeneity. The second approach, genomic technologies, develops new high throughput DNA interrogation methodologies for detailed assessment of structural and sequence mutations and their transcriptional consequences. The third key technology is computational, including algorithms for modeling gene networks;ontology development that supports data integration and enables in silico modeling of gene functional associations;and informatics and database systems are essential for integrative studies and comparative genomic analyses. The 47 program members include 35 at Bar Harbor, 8 at Farmington, and 1 at Sacramento, together with 3 adjunct members from UC Davis Comprehensive Cancer Center, Eastern Maine Healthcare Systems, and Trinity University (TX). Through its emphasis on basic research and unique technology development, the program leverages funding from multiple NIH ICs in support of cancer focused research. In total the program is supported by $40,150,131 total costs in NCI and other peer reviewed cancer-related support in the last budget year. Over the past grant cycle, program members produced 1022 publications, including 10% intra-programmatic collaborations and 62% with collaborators external to JAX

Public Health Relevance

The JAXCC member retreat serves as the forum for planning that brings together all Cancer Center members from all campuses. Topics include collaborative projects;new resource and model development;technological and methodological innovations and their application to cancer research;and research areas for faculty recruiting, among others. Partial CCSG funding for the JAXCC member retreat is requested.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
2P30CA034196-29
Application #
8699297
Study Section
Subcommittee G - Education (NCI)
Project Start
1997-08-01
Project End
2019-06-30
Budget Start
2014-07-01
Budget End
2015-06-30
Support Year
29
Fiscal Year
2014
Total Cost
$16,989
Indirect Cost
$7,281
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

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