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Interpreting the Cancer Genome

Abstract C18: Interpreting the cancer genome using the Mouse Tumor Biology (MTB) Database

Debra M. Krupke, Dale A. Begley, Steven B. Neuhauser, Joel E. Richardson, John P. Sundberg, Carol J. Bult and Janan T. Eppig
Debra M. Krupke
The Jackson Laboratory, Bar Harbor, ME.
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Dale A. Begley
The Jackson Laboratory, Bar Harbor, ME.
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Steven B. Neuhauser
The Jackson Laboratory, Bar Harbor, ME.
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Joel E. Richardson
The Jackson Laboratory, Bar Harbor, ME.
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John P. Sundberg
The Jackson Laboratory, Bar Harbor, ME.
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Carol J. Bult
The Jackson Laboratory, Bar Harbor, ME.
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Janan T. Eppig
The Jackson Laboratory, Bar Harbor, ME.
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DOI: 10.1158/1538-7445.FBCR13-C18 Published October 2013
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Abstract

For over a century cancer biologists have utilized the laboratory mouse in the study of cancer biology. Many mouse models recapitulate the genetic abnormalities observed in human cancers. The Mouse Tumor Biology Database (MTB; http://tumor.informatics.jax.org) provides multiple tools to explore and interpret the cancer genome. These tools include the ability to search MTB using mouse or human gene symbols, a mouse cancer quantitative trait loci (QTL) viewer, links to gene expression data for a variety of mouse models of human cancer, and access to public genomic data from the emerging Jackson Laboratory (JAX; http://www.jax.org) Patient-Derived Xenograft (PDX) program.

MTB was established in 1997 and provides freely available access to data on spontaneous and induced tumors from genetically defined mice (inbred, hybrid, mutant, and genetically engineered strains). These data include standardized tumor names and classifications, pathology reports and images, mouse genes and QTL associated with cancers, genomic and cytogenetic changes occurring in the tumor, strain names, tumor frequency and latency, and literature citations. Although the primary source for data represented in MTB is peer-reviewed scientific literature an increasing amount of data are derived from large systematic programs (e.g. JAX Aging Resource, PDX Program) and laboratory or consortia contributions. MTB includes annotated histopathology images and cytogenetic assay images for mouse tumors where these data are available. MTB encourages direct submission of mouse tumor data and images from the cancer research community and provides investigators with a web-accessible tool for image submission and annotation.

MTB is supported by NCI grant CA089713.

Citation Format: Debra M. Krupke, Dale A. Begley, Steven B. Neuhauser, Joel E. Richardson, John P. Sundberg, Carol J. Bult, Janan T. Eppig. Interpreting the cancer genome using the Mouse Tumor Biology (MTB) Database. [abstract]. In: Proceedings of the Third AACR International Conference on Frontiers in Basic Cancer Research; Sep 18-22, 2013; National Harbor, MD. Philadelphia (PA): AACR; Cancer Res 2013;73(19 Suppl):Abstract nr C18.

  • ©2013 American Association for Cancer Research.
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Cancer Research: 73 (19 Supplement)
October 2013
Volume 73, Issue 19 Supplement
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Abstract C18: Interpreting the cancer genome using the Mouse Tumor Biology (MTB) Database
Debra M. Krupke, Dale A. Begley, Steven B. Neuhauser, Joel E. Richardson, John P. Sundberg, Carol J. Bult and Janan T. Eppig
Cancer Res October 1 2013 (73) (19 Supplement) C18; DOI: 10.1158/1538-7445.FBCR13-C18

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Abstract C18: Interpreting the cancer genome using the Mouse Tumor Biology (MTB) Database
Debra M. Krupke, Dale A. Begley, Steven B. Neuhauser, Joel E. Richardson, John P. Sundberg, Carol J. Bult and Janan T. Eppig
Cancer Res October 1 2013 (73) (19 Supplement) C18; DOI: 10.1158/1538-7445.FBCR13-C18
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Cancer Research Online ISSN: 1538-7445
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