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Impact of essential genes on the success of genome editing experiments generating 3313 new genetically engineered mouse lines

Authors :
Hillary Elrick
Kevin A. Peterson
Brandon J. Willis
Denise G. Lanza
Elif F. Acar
Edward J. Ryder
Lydia Teboul
Petr Kasparek
Marie-Christine Birling
David J. Adams
Allan Bradley
Robert E. Braun
Steve D. Brown
Adam Caulder
Gemma F. Codner
Francesco J. DeMayo
Mary E. Dickinson
Brendan Doe
Graham Duddy
Marina Gertsenstein
Leslie O. Goodwin
Yann Hérault
Lauri G. Lintott
K. C. Kent Lloyd
Isabel Lorenzo
Matthew Mackenzie
Ann-Marie Mallon
Colin McKerlie
Helen Parkinson
Ramiro Ramirez-Solis
John R. Seavitt
Radislav Sedlacek
William C. Skarnes
Damien Smedley
Sara Wells
Jacqueline K. White
Joshua A. Wood
International Mouse Phenotyping Consortium
Stephen A. Murray
Jason D. Heaney
Lauryl M. J. Nutter
Source :
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Publication Year :
2024
Publisher :
Nature Portfolio, 2024.

Abstract

Abstract The International Mouse Phenotyping Consortium (IMPC) systematically produces and phenotypes mouse lines with presumptive null mutations to provide insight into gene function. The IMPC now uses the programmable RNA-guided nuclease Cas9 for its increased capacity and flexibility to efficiently generate null alleles in the C57BL/6N strain. In addition to being a valuable novel and accessible research resource, the production of 3313 knockout mouse lines using comparable protocols provides a rich dataset to analyze experimental and biological variables affecting in vivo gene engineering with Cas9. Mouse line production has two critical steps – generation of founders with the desired allele and germline transmission (GLT) of that allele from founders to offspring. A systematic evaluation of the variables impacting success rates identified gene essentiality as the primary factor influencing successful production of null alleles. Collectively, our findings provide best practice recommendations for using Cas9 to generate alleles in mouse essential genes, many of which are orthologs of genes linked to human disease.

Details

Language :
English
ISSN :
20452322
Volume :
14
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Scientific Reports
Publication Type :
Academic Journal
Accession number :
edsdoj.0788cc9d0e59472c90243baecc221f96
Document Type :
article
Full Text :
https://doi.org/10.1038/s41598-024-72418-8