Literature DB >> 26551941

Excavating the Genome: Large-Scale Mutagenesis Screening for the Discovery of New Mouse Models.

John P Sundberg1,2, Soheil S Dadras3,4, Kathleen A Silva1, Victoria E Kennedy1, Stephen A Murray5, James M Denegre5, Paul N Schofield1,6, Lloyd E King2, Michael V Wiles7, C Herbert Pratt5.   

Abstract

Technology now exists for rapid screening of mutated laboratory mice to identify phenotypes associated with specific genetic mutations. Large repositories exist for spontaneous mutants and those induced by chemical mutagenesis, many of which have never been fully studied or comprehensively evaluated. To supplement these resources, a variety of techniques have been consolidated in an international effort to create mutations in all known protein coding genes in the mouse. With targeted embryonic stem cell lines now available for almost all protein coding genes and more recently CRISPR/Cas9 technology, large-scale efforts are underway to create further novel mutant mouse strains and to characterize their phenotypes. However, accurate diagnosis of skin, hair, and nail diseases still relies on careful gross and histological analysis, and while not automated to the level of the physiological phenotyping, histopathology still provides the most direct and accurate diagnosis and correlation with human diseases. As a result of these efforts, many new mouse dermatological disease models are being characterized and developed.

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Mesh:

Year:  2015        PMID: 26551941      PMCID: PMC4734626          DOI: 10.1038/jidsymp.2015.36

Source DB:  PubMed          Journal:  J Investig Dermatol Symp Proc        ISSN: 1087-0024


  18 in total

1.  The Collaborative Cross, a community resource for the genetic analysis of complex traits.

Authors:  Gary A Churchill; David C Airey; Hooman Allayee; Joe M Angel; Alan D Attie; Jackson Beatty; William D Beavis; John K Belknap; Beth Bennett; Wade Berrettini; Andre Bleich; Molly Bogue; Karl W Broman; Kari J Buck; Ed Buckler; Margit Burmeister; Elissa J Chesler; James M Cheverud; Steven Clapcote; Melloni N Cook; Roger D Cox; John C Crabbe; Wim E Crusio; Ariel Darvasi; Christian F Deschepper; R W Doerge; Charles R Farber; Jiri Forejt; Daniel Gaile; Steven J Garlow; Hartmut Geiger; Howard Gershenfeld; Terry Gordon; Jing Gu; Weikuan Gu; Gerald de Haan; Nancy L Hayes; Craig Heller; Heinz Himmelbauer; Robert Hitzemann; Kent Hunter; Hui-Chen Hsu; Fuad A Iraqi; Boris Ivandic; Howard J Jacob; Ritsert C Jansen; Karl J Jepsen; Dabney K Johnson; Thomas E Johnson; Gerd Kempermann; Christina Kendziorski; Malak Kotb; R Frank Kooy; Bastien Llamas; Frank Lammert; Jean-Michel Lassalle; Pedro R Lowenstein; Lu Lu; Aldons Lusis; Kenneth F Manly; Ralph Marcucio; Doug Matthews; Juan F Medrano; Darla R Miller; Guy Mittleman; Beverly A Mock; Jeffrey S Mogil; Xavier Montagutelli; Grant Morahan; David G Morris; Richard Mott; Joseph H Nadeau; Hiroki Nagase; Richard S Nowakowski; Bruce F O'Hara; Alexander V Osadchuk; Grier P Page; Beverly Paigen; Kenneth Paigen; Abraham A Palmer; Huei-Ju Pan; Leena Peltonen-Palotie; Jeremy Peirce; Daniel Pomp; Michal Pravenec; Daniel R Prows; Zhonghua Qi; Roger H Reeves; John Roder; Glenn D Rosen; Eric E Schadt; Leonard C Schalkwyk; Ze'ev Seltzer; Kazuhiro Shimomura; Siming Shou; Mikko J Sillanpää; Linda D Siracusa; Hans-Willem Snoeck; Jimmy L Spearow; Karen Svenson; Lisa M Tarantino; David Threadgill; Linda A Toth; William Valdar; Fernando Pardo-Manuel de Villena; Craig Warden; Steve Whatley; Robert W Williams; Tim Wiltshire; Nengjun Yi; Dabao Zhang; Min Zhang; Fei Zou
Journal:  Nat Genet       Date:  2004-11       Impact factor: 38.330

2.  Genome-wide association study in alopecia areata implicates both innate and adaptive immunity.

Authors:  Lynn Petukhova; Madeleine Duvic; Maria Hordinsky; David Norris; Vera Price; Yutaka Shimomura; Hyunmi Kim; Pallavi Singh; Annette Lee; Wei V Chen; Katja C Meyer; Ralf Paus; Colin A B Jahoda; Christopher I Amos; Peter K Gregersen; Angela M Christiano
Journal:  Nature       Date:  2010-07-01       Impact factor: 49.962

3.  Pathology of the laboratory mouse: an International Workshop on Challenges for High Throughput Phenotyping.

Authors:  Paul N Schofield; Pierre Dubus; Laurence Klein; Mark Moore; Colin McKerlie; Jerrold M Ward; John P Sundberg
Journal:  Toxicol Pathol       Date:  2011-03-28       Impact factor: 1.902

4.  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

5.  The Diversity Outbred mouse population.

Authors:  Gary A Churchill; Daniel M Gatti; Steven C Munger; Karen L Svenson
Journal:  Mamm Genome       Date:  2012-08-15       Impact factor: 2.957

Review 6.  Mouse ENU mutagenesis.

Authors:  M J Justice; J K Noveroske; J S Weber; B Zheng; A Bradley
Journal:  Hum Mol Genet       Date:  1999       Impact factor: 6.150

7.  The Collaborative Cross at Oak Ridge National Laboratory: developing a powerful resource for systems genetics.

Authors:  Elissa J Chesler; Darla R Miller; Lisa R Branstetter; Leslie D Galloway; Barbara L Jackson; Vivek M Philip; Brynn H Voy; Cymbeline T Culiat; David W Threadgill; Robert W Williams; Gary A Churchill; Dabney K Johnson; Kenneth F Manly
Journal:  Mamm Genome       Date:  2008-08-21       Impact factor: 2.957

8.  EMPReSS: standardized phenotype screens for functional annotation of the mouse genome.

Authors:  S D M Brown; P Chambon; M Hrabé de Angelis
Journal:  Nat Genet       Date:  2005-11       Impact factor: 38.330

Review 9.  Exploring the elephant: histopathology in high-throughput phenotyping of mutant mice.

Authors:  Paul N Schofield; Peter Vogel; Georgios V Gkoutos; John P Sundberg
Journal:  Dis Model Mech       Date:  2011-10-25       Impact factor: 5.758

10.  Identification of genes important for cutaneous function revealed by a large scale reverse genetic screen in the mouse.

Authors:  Tia DiTommaso; Lynelle K Jones; Denny L Cottle; Anna-Karin Gerdin; Valerie E Vancollie; Fiona M Watt; Ramiro Ramirez-Solis; Allan Bradley; Karen P Steel; John P Sundberg; Jacqueline K White; Ian M Smyth
Journal:  PLoS Genet       Date:  2014-10-23       Impact factor: 5.917

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