Genome wide conditional mouse knockout resources

C. Kaloff, Konstantinos Anastassiadis, A. Ayadi, R Baldock, J. Beig, M. C. Birling, A. Bradley, S. D.M. Brown, A. Bürger, W. Bushell, Francesco Chiani, F. S. Collins, Brendan Doe, J. T. Eppig, R. H. Finnell, Jennifer C Fletcher, Paul Flicek, Mirca El Fray, R. H. Friedel, A. GambadoroHilary Gates, J. Hansen, Y. Herault, Gemma Hicks, A. Hörlein, M. Hrabé de Angelis, V. J. Iyer, P. J. de Jong, G. Koscielny, R. Kühn, P. Liu, K. C.K. Lloyd, R. G. Lopez, Jeffrey S. Marschall, S. Martínez, C. McKerlie, T. Meehan, H. von Melchner, M. Moore, S. A. Murray, A. Nagy, L. M.J. Nutter, G. Pavlovic, A. Pombero, H. Prosser, Ramiro Ramirez-Solis, Martin Ringwald, Barry Rosen, N. Rosenthal, Janet Rossant, P. Ruiz Noppinger, Ed Ryder, William C Skarnes, J. Schick, F. Schnütgen, P E Schofield, C. Seisenberger, M. Selloum, Damian P Smedley, E. M. Simpson, A. F. Stewart, Lydia Teboul, G. P. Tocchini Valentini, David M Valenzuela, A. P. West, W Wurst

Research output: Contribution to journalArticleResearchpeer-review

6 Citations (Scopus)

Abstract

The International Knockout Mouse Consortium (IKMC) developed high throughput gene trapping and gene targeting pipelines that produced mostly conditional mutations of more than 18,500 genes in C57BL/6N mouse embryonic stem (ES) cells which have been archived and are freely available to the research community as a frozen resource. From this unprecedented resource more than 6000 mutant mouse strains have been generated by the IKMC in collaboration with the International Mouse Phenotyping Consortium (IMPC). In addition, a cre-driver resource was established including 250 C57BL/6 cre-inducible mouse strains. Complementing the cre-driver resource, a collection comprising 27 rAAVs expressing cre in a tissue-specific manner has also been produced. All resources are easily accessible from the IKMC/IMPC web portal (www.mousephenotype.org). The IKMC/IMPC resource is a standardized reference library of mouse models with defined genetic backgrounds enabling the analysis of gene-disease associations in mice of different genetic makeup and should therefore have a major impact on biomedical research.

Original languageEnglish
Pages (from-to)3-12
Number of pages10
JournalDrug Discovery Today: Disease Models
Volume20
DOIs
Publication statusPublished - 2016
Externally publishedYes

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