Mouse models of human cancer are instrumental in understanding tumorigenesis. Advances continue to be made that allow better understanding of the mechanisms of tumor development, which leads toward the identification of new diagnostics and therapies. The Genome Editing shared resource at Rutgers Cancer Institute of New Jersey (CINJ) was established in 2016 as a consortium managed shared resource whose purpose is to provide a centralized laboratory for the generation and preservation of mouse research models and creation of custom genome edited cell lines. The services offered by the Genome Editing shared resource ensure that investigators across the consortium are equipped to make scientific breakthroughs and speed research into mechanisms of cancer initiation, progression and treatment using genetically engineered mouse models (GEMMs) and genetically modified human and mouse cell lines. The considerable experience and technical expertise of the managing and scientific directors are also a valuable resource made available to investigators. Moreover, Genome Editing offers cryopreservation of research mouse models to safeguard against devastating loss of investigators? valuable GEMM lines. Almost all of the procedures conducted by the shared resource require a high degree of technical expertise and equipment not readily available to individual laboratories. In addition to its service functions, the Genome Editing shared resource plays an important intellectual role in the development and pursuit of mouse-oriented research projects and the application of genome editing throughout the CINJ consortium. The shared resource also engages in the development of new approaches and methodologies in genome editing to better serve its users.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Center Core Grants (P30)
Project #
5P30CA072720-22
Application #
10112865
Study Section
Subcommittee I - Transistion to Independence (NCI)
Project Start
1997-03-01
Project End
2024-02-29
Budget Start
2021-03-01
Budget End
2022-02-28
Support Year
22
Fiscal Year
2021
Total Cost
Indirect Cost
Name
Rbhs -Cancer Institute of New Jersey
Department
Type
DUNS #
078728091
City
New Brunswick
State
NJ
Country
United States
Zip Code
08901
Lu, Yingchang; Beeghly-Fadiel, Alicia; Wu, Lang et al. (2018) A Transcriptome-Wide Association Study Among 97,898 Women to Identify Candidate Susceptibility Genes for Epithelial Ovarian Cancer Risk. Cancer Res 78:5419-5430
Lalani, Almin I; Zhu, Sining; Xie, Ping (2018) Characterization of Thymus-dependent and Thymus-independent Immunoglobulin Isotype Responses in Mice Using Enzyme-linked Immunosorbent Assay. J Vis Exp :
Warner, Wayne A; Lee, Tammy Y; Badal, Kimberly et al. (2018) Cancer incidence and mortality rates and trends in Trinidad and Tobago. BMC Cancer 18:712
Qin, Bo; Llanos, Adana A M; Lin, Yong et al. (2018) Validity of self-reported weight, height, and body mass index among African American breast cancer survivors. J Cancer Surviv 12:460-468
Farber, Nicholas J; Radadia, Kushan D; Singer, Eric A (2018) Accuracy of Nodal Staging and Outcomes of Lymphadenectomy for Non-metastatic Renal Cell Carcinoma: An Analysis of the National Cancer Database. Bladder Cancer 4:S14-S15
Poillet-Perez, Laura; Xie, Xiaoqi; Zhan, Le et al. (2018) Autophagy maintains tumour growth through circulating arginine. Nature 563:569-573
Chan, Chang S; Laddha, Saurabh V; Lewis, Peter W et al. (2018) ATRX, DAXX or MEN1 mutant pancreatic neuroendocrine tumors are a distinct alpha-cell signature subgroup. Nat Commun 9:4158
Panda, Anshuman; de Cubas, Aguirre A; Stein, Mark et al. (2018) Endogenous retrovirus expression is associated with response to immune checkpoint blockade in clear cell renal cell carcinoma. JCI Insight 3:
Warner, Wayne A; Lee, Tammy Y; Fang, Fang et al. (2018) The burden of prostate cancer in Trinidad and Tobago: one of the highest mortality rates in the world. Cancer Causes Control 29:685-697
Zhao, Yuhan; Wu, Lihua; Yue, Xuetian et al. (2018) A polymorphism in the tumor suppressor p53 affects aging and longevity in mouse models. Elife 7:

Showing the most recent 10 out of 775 publications