Literature DB >> 23812235

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

John P Sundberg1, Derry C Roopenian2, Edison T Liu2, Paul N Schofield3.   

Abstract

A recent publication questions the suitability of mice as a model for the human inflammatory response and has fueled the continuing debate about the suitability of mice as models for human disease. We discuss recent advances in disease modeling using mice, and the genetic factors that need to be considered when trying to recapitulate aspects of human disease. Failure to appreciate the important differences between human and mouse biology and genetics underlying attempts to generate faithful models frequently leads to poor outcomes. Closely coordinated human and model organism studies are essential to provide traction for translational research.

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Year:  2013        PMID: 23812235     DOI: 10.1038/jid.2013.238

Source DB:  PubMed          Journal:  J Invest Dermatol        ISSN: 0022-202X            Impact factor:   8.551


  6 in total

1.  Training mouse pathologists: 15 years of workshops on the pathology of mouse models of human disease.

Authors:  John P Sundberg; Kelli Boyd; Harm Hogenesch; Alexander Y Nikitin; Piper M Treuting; Jerrold M Ward
Journal:  Lab Anim (NY)       Date:  2017-04-19       Impact factor: 12.625

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

Authors:  Debra M Krupke; Dale A Begley; John P Sundberg; Joel E Richardson; Steven B Neuhauser; Carol J Bult
Journal:  Cancer Res       Date:  2017-11-01       Impact factor: 12.701

3.  Training mouse pathologists: 16th annual workshop on the pathology of mouse models of human disease.

Authors:  John P Sundberg; Kelli Boyd; Harm Hogenesch; Alexander Yu Nikitin; Piper M Treuting; Jerrold M Ward
Journal:  Lab Anim (NY)       Date:  2018-01-31       Impact factor: 12.625

4.  Mouse Tumor Biology (MTB): a database of mouse models for human cancer.

Authors:  Carol J Bult; Debra M Krupke; Dale A Begley; Joel E Richardson; Steven B Neuhauser; John P Sundberg; Janan T Eppig
Journal:  Nucleic Acids Res       Date:  2014-10-20       Impact factor: 16.971

5.  Contribution of model organism phenotypes to the computational identification of human disease genes.

Authors:  Sarah M Alghamdi; Paul N Schofield; Robert Hoehndorf
Journal:  Dis Model Mech       Date:  2022-08-03       Impact factor: 5.732

6.  The influence of disease categories on gene candidate predictions from model organism phenotypes.

Authors:  Anika Oellrich; Sebastian Koehler; Nicole Washington; Chris Mungall; Suzanna Lewis; Melissa Haendel; Peter N Robinson; Damian Smedley
Journal:  J Biomed Semantics       Date:  2014-06-03
  6 in total

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