Literature DB >> 29092943

The Mouse Tumor Biology Database: A Comprehensive Resource for Mouse Models of Human Cancer.

Debra M Krupke1, Dale A Begley1, John P Sundberg1, Joel E Richardson1, Steven B Neuhauser1, Carol J Bult2.   

Abstract

Research using laboratory mice has led to fundamental insights into the molecular genetic processes that govern cancer initiation, progression, and treatment response. Although thousands of scientific articles have been published about mouse models of human cancer, collating information and data for a specific model is hampered by the fact that many authors do not adhere to existing annotation standards when describing models. The interpretation of experimental results in mouse models can also be confounded when researchers do not factor in the effect of genetic background on tumor biology. The Mouse Tumor Biology (MTB) database is an expertly curated, comprehensive compendium of mouse models of human cancer. Through the enforcement of nomenclature and related annotation standards, MTB supports aggregation of data about a cancer model from diverse sources and assessment of how genetic background of a mouse strain influences the biological properties of a specific tumor type and model utility. Cancer Res; 77(21); e67-70. ©2017 AACR. ©2017 American Association for Cancer Research.

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Year:  2017        PMID: 29092943      PMCID: PMC5679300          DOI: 10.1158/0008-5472.CAN-17-0584

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  15 in total

Review 1.  The Mouse Tumor Biology Database: a public resource for cancer genetics and pathology of the mouse.

Authors:  Dieter Näf; Debra M Krupke; John P Sundberg; Janan T Eppig; Carol J Bult
Journal:  Cancer Res       Date:  2002-03-01       Impact factor: 12.701

2.  High-resolution genetic mapping using the Mouse Diversity outbred population.

Authors:  Karen L Svenson; Daniel M Gatti; William Valdar; Catherine E Welsh; Riyan Cheng; Elissa J Chesler; Abraham A Palmer; Leonard McMillan; Gary A Churchill
Journal:  Genetics       Date:  2012-02       Impact factor: 4.562

Review 3.  Animal models of human disease: challenges in enabling translation.

Authors:  Paul McGonigle; Bruce Ruggeri
Journal:  Biochem Pharmacol       Date:  2013-08-14       Impact factor: 5.858

Review 4.  How genetically engineered mouse tumor models provide insights into human cancers.

Authors:  Katerina Politi; William Pao
Journal:  J Clin Oncol       Date:  2011-01-24       Impact factor: 44.544

Review 5.  One mouse, one patient paradigm: New avatars of personalized cancer therapy.

Authors:  Prerna Malaney; Santo V Nicosia; Vrushank Davé
Journal:  Cancer Lett       Date:  2013-10-22       Impact factor: 8.679

6.  The Cinderella effect: searching for the best fit between mouse models and human diseases.

Authors:  John P Sundberg; Derry C Roopenian; Edison T Liu; Paul N Schofield
Journal:  J Invest Dermatol       Date:  2013-06-27       Impact factor: 8.551

7.  A surprising cross-species conservation in the genomic landscape of mouse and human oral cancer identifies a transcriptional signature predicting metastatic disease.

Authors:  Michael D Onken; Ashley E Winkler; Krishna-Latha Kanchi; Varun Chalivendra; Jonathan H Law; Charles G Rickert; Dorina Kallogjeri; Nancy P Judd; Gavin P Dunn; Jay F Piccirillo; James S Lewis; Elaine R Mardis; Ravindra Uppaluri
Journal:  Clin Cancer Res       Date:  2014-03-25       Impact factor: 12.531

8.  The long path from QTL to gene.

Authors:  Norman R Drinkwater; Michael N Gould
Journal:  PLoS Genet       Date:  2012-09-20       Impact factor: 5.917

9.  The mammalian gene function resource: the International Knockout Mouse Consortium.

Authors:  Allan Bradley; Konstantinos Anastassiadis; Abdelkader Ayadi; James F Battey; Cindy Bell; Marie-Christine Birling; Joanna Bottomley; Steve D Brown; Antje Bürger; Carol J Bult; Wendy Bushell; Francis S Collins; Christian Desaintes; Brendan Doe; Aris Economides; Janan T Eppig; Richard H Finnell; Colin Fletcher; Martin Fray; David Frendewey; Roland H Friedel; Frank G Grosveld; Jens Hansen; Yann Hérault; Geoffrey Hicks; Andreas Hörlein; Richard Houghton; Martin Hrabé de Angelis; Danny Huylebroeck; Vivek Iyer; Pieter J de Jong; James A Kadin; Cornelia Kaloff; Karen Kennedy; Manousos Koutsourakis; K C Kent Lloyd; Susan Marschall; Jeremy Mason; Colin McKerlie; Michael P McLeod; Harald von Melchner; Mark Moore; Alejandro O Mujica; Andras Nagy; Mikhail Nefedov; Lauryl M Nutter; Guillaume Pavlovic; Jane L Peterson; Jonathan Pollock; Ramiro Ramirez-Solis; Derrick E Rancourt; Marcello Raspa; Jacques E Remacle; Martin Ringwald; Barry Rosen; Nadia Rosenthal; Janet Rossant; Patricia Ruiz Noppinger; Ed Ryder; Joel Zupicich Schick; Frank Schnütgen; Paul Schofield; Claudia Seisenberger; Mohammed Selloum; Elizabeth M Simpson; William C Skarnes; Damian Smedley; William L Stanford; A Francis Stewart; Kevin Stone; Kate Swan; Hamsa Tadepally; Lydia Teboul; Glauco P Tocchini-Valentini; David Valenzuela; Anthony P West; Ken-ichi Yamamura; Yuko Yoshinaga; Wolfgang Wurst
Journal:  Mamm Genome       Date:  2012-09-12       Impact factor: 2.957

10.  The Mouse Genome Database: integration of and access to knowledge about the laboratory mouse.

Authors:  Judith A Blake; Carol J Bult; Janan T Eppig; James A Kadin; Joel E Richardson
Journal:  Nucleic Acids Res       Date:  2013-11-26       Impact factor: 16.971

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  21 in total

Review 1.  Model organism data evolving in support of translational medicine.

Authors:  Douglas G Howe; Judith A Blake; Yvonne M Bradford; Carol J Bult; Brian R Calvi; Stacia R Engel; James A Kadin; Thomas C Kaufman; Ranjana Kishore; Stanley J F Laulederkind; Suzanna E Lewis; Sierra A T Moxon; Joel E Richardson; Cynthia Smith
Journal:  Lab Anim (NY)       Date:  2018-09-17       Impact factor: 12.625

2.  Quantitative Proteomics Links the LRRC59 Interactome to mRNA Translation on the ER Membrane.

Authors:  Molly M Hannigan; Alyson M Hoffman; J Will Thompson; Tianli Zheng; Christopher V Nicchitta
Journal:  Mol Cell Proteomics       Date:  2020-08-11       Impact factor: 5.911

3.  Early expression of mature αβ TCR in CD4-CD8- T cell progenitors enables MHC to drive development of T-ALL bearing NOTCH mutations.

Authors:  Kimberly G Laffey; Robert J Stiles; Melissa J Ludescher; Tessa R Davis; Shariq S Khwaja; Richard J Bram; Peter J Wettstein; Venkataraman Ramachandran; Christopher A Parks; Edwin E Reyes; Alejandro Ferrer; Jenna M Canfield; Cory E Johnson; Richard D Hammer; Diana Gil; Adam G Schrum
Journal:  Proc Natl Acad Sci U S A       Date:  2022-06-29       Impact factor: 12.779

Review 4.  Programmable RNA-Guided Large DNA Transgenesis by CRISPR/Cas9 and Site-Specific Integrase Bxb1.

Authors:  Vishnu Hosur; Benjamin E Low; Michael V Wiles
Journal:  Front Bioeng Biotechnol       Date:  2022-07-05

Review 5.  Research-Relevant Conditions and Pathology of Laboratory Mice, Rats, Gerbils, Guinea Pigs, Hamsters, Naked Mole Rats, and Rabbits.

Authors:  Timothy K Cooper; David K Meyerholz; Amanda P Beck; Martha A Delaney; Alessandra Piersigilli; Teresa L Southard; Cory F Brayton
Journal:  ILAR J       Date:  2021-12-31       Impact factor: 1.521

6.  Systematic Establishment of Robustness and Standards in Patient-Derived Xenograft Experiments and Analysis.

Authors:  Yvonne A Evrard; Anuj Srivastava; Jelena Randjelovic; James H Doroshow; Dennis A Dean; Jeffrey S Morris; Jeffrey H Chuang
Journal:  Cancer Res       Date:  2020-03-09       Impact factor: 12.701

7.  PATHBIO: an international training program for precision mouse phenotyping.

Authors:  Jesus Ruberte; Paul N Schofield; Cord Brakebusch; Peter Vogel; Yann Herault; Guillem Gracia; Colin McKerlie; Martin Hrabĕ de Angelis; Michael Hagn; John P Sundberg
Journal:  Mamm Genome       Date:  2020-02-22       Impact factor: 2.957

Review 8.  Development of Immunotherapy Combination Strategies in Cancer.

Authors:  Timothy A Yap; Eileen E Parkes; Weiyi Peng; Justin T Moyers; Michael A Curran; Hussein A Tawbi
Journal:  Cancer Discov       Date:  2021-04-02       Impact factor: 39.397

9.  Mouse Genome Database (MGD) 2019.

Authors:  Carol J Bult; Judith A Blake; Cynthia L Smith; James A Kadin; Joel E Richardson
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

10.  RASAL2 Confers Collateral MEK/EGFR Dependency in Chemoresistant Triple-Negative Breast Cancer.

Authors:  Siang-Boon Koh; Kenneth Ross; Steven J Isakoff; Nsan Melkonjan; Lei He; Karina J Matissek; Andrew Schultz; Erica L Mayer; Tiffany A Traina; Lisa A Carey; Hope S Rugo; Minetta C Liu; Vered Stearns; Adam Langenbucher; Srinivas Vinod Saladi; Sridhar Ramaswamy; Michael S Lawrence; Leif W Ellisen
Journal:  Clin Cancer Res       Date:  2021-06-24       Impact factor: 12.531

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