Literature DB >> 11125059

Web-based access to mouse models of human cancers: the Mouse Tumor Biology (MTB) Database.

C J Bult1, D M Krupke, D Näf, J P Sundberg, J T Eppig.   

Abstract

The Mouse Tumor Biology (MTB) Database serves as a curated, integrated resource for information about tumor genetics and pathology in genetically defined strains of mice (i.e., inbred, transgenic and targeted mutation strains). Sources of information for the database include the published scientific literature and direct data submissions by the scientific community. Researchers access MTB using Web-based query forms and can use the database to answer such questions as 'What tumors have been reported in transgenic mice created on a C57BL/6J background?', 'What tumors in mice are associated with mutations in the Trp53 gene?' and 'What pathology images are available for tumors of the mammary gland regardless of genetic background?'. MTB has been available on the Web since 1998 from the Mouse Genome Informatics web site (http://www.informatics.jax.org). We have recently implemented a number of enhancements to MTB including new query options, redesigned query forms and results pages for pathology and genetic data, and the addition of an electronic data submission and annotation tool for pathology data.

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Year:  2001        PMID: 11125059      PMCID: PMC29782          DOI: 10.1093/nar/29.1.95

Source DB:  PubMed          Journal:  Nucleic Acids Res        ISSN: 0305-1048            Impact factor:   16.971


  9 in total

Review 1.  Studying cancer in the mouse.

Authors:  R D Klausner
Journal:  Oncogene       Date:  1999-09-20       Impact factor: 9.867

Review 2.  A mouse phenome project.

Authors:  K Paigen; J T Eppig
Journal:  Mamm Genome       Date:  2000-09       Impact factor: 2.957

Review 3.  A survey of web resources for basic cancer genetics research.

Authors:  C J Bult; D M Krupke; B J Tennent; J T Eppig
Journal:  Genome Res       Date:  1999-05       Impact factor: 9.043

4.  Mouse tumor biology database (MTB): enhancements and current status.

Authors:  C J Bult; D M Krupke; J P Sundberg; J T Eppig
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

5.  GXD: a Gene Expression Database for the laboratory mouse: current status and recent enhancements. The Gene Expresison Database group.

Authors:  M Ringwald; J T Eppig; J A Kadin; J E Richardson
Journal:  Nucleic Acids Res       Date:  2000-01-01       Impact factor: 16.971

6.  Genealogies of mouse inbred strains.

Authors:  J A Beck; S Lloyd; M Hafezparast; M Lennon-Pierce; J T Eppig; M F Festing; E M Fisher
Journal:  Nat Genet       Date:  2000-01       Impact factor: 38.330

7.  The Mouse Genome Database (MGD): integration nexus for the laboratory mouse.

Authors:  J A Blake; J T Eppig; J E Richardson; C J Bult; J A Kadin
Journal:  Nucleic Acids Res       Date:  2001-01-01       Impact factor: 16.971

8.  Electronic access to mouse tumor data: the Mouse Tumor Biology Database (MTB) project.

Authors:  C J Bult; D M Krupke; J T Eppig
Journal:  Nucleic Acids Res       Date:  1999-01-01       Impact factor: 16.971

Review 9.  A miracle enough: the power of mice.

Authors:  K Paigen
Journal:  Nat Med       Date:  1995-03       Impact factor: 53.440

  9 in total
  7 in total

1.  The Mouse Genome Database (MGD): the model organism database for the laboratory mouse.

Authors:  Judith A Blake; Joel E Richardson; Carol J Bult; Jim A Kadin; Janan T Eppig
Journal:  Nucleic Acids Res       Date:  2002-01-01       Impact factor: 16.971

2.  Mutational fingerprints of aging.

Authors:  Martijn E T Dollé; Wendy K Snyder; David B Dunson; Jan Vijg
Journal:  Nucleic Acids Res       Date:  2002-01-15       Impact factor: 16.971

3.  Pathbase: a database of mutant mouse pathology.

Authors:  Paul N Schofield; Jonathan B L Bard; Catherine Booth; Jacques Boniver; Vincenzo Covelli; Philippe Delvenne; Michele Ellender; Wilhelm Engstrom; Wolfgang Goessner; Michael Gruenberger; Heinz Hoefler; John Hopewell; Mariatheresa Mancuso; Carmel Mothersill; Christopher S Potten; Leticia Quintanilla-Fend; Bjorn Rozell; Hannu Sariola; John P Sundberg; Andrew Ward
Journal:  Nucleic Acids Res       Date:  2004-01-01       Impact factor: 16.971

4.  Databases and QSAR for cancer research.

Authors:  Adeel Malik; Hemajit Singh; Munazah Andrabi; Syed Akhtar Husain; Shandar Ahmad
Journal:  Cancer Inform       Date:  2007-02-15

5.  Mouse Tumor Biology Database (MTB): status update and future directions.

Authors:  Dale A Begley; Debra M Krupke; Matthew J Vincent; John P Sundberg; Carol J Bult; Janan T Eppig
Journal:  Nucleic Acids Res       Date:  2006-11-29       Impact factor: 16.971

6.  The mouse as a model for understanding chronic diseases of aging: the histopathologic basis of aging in inbred mice.

Authors:  John P Sundberg; Annerose Berndt; Beth A Sundberg; Kathleen A Silva; Victoria Kennedy; Roderick Bronson; Rong Yuan; Beverly Paigen; David Harrison; Paul N Schofield
Journal:  Pathobiol Aging Age Relat Dis       Date:  2011-06-01

7.  What do we mean by Internet access? A framework for health researchers.

Authors:  Nigel E Bush; Deborah J Bowen; Jean Wooldridge; Abi Ludwig; Hendrika Meischke; Robert Robbins
Journal:  Prev Chronic Dis       Date:  2004-09-15       Impact factor: 2.830

  7 in total

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