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Mouse genome rewriting and tailoring of three important disease loci.

Authors :
Zhang W
Golynker I
Brosh R
Fajardo A
Zhu Y
Wudzinska AM
Ordoñez R
Ribeiro-Dos-Santos AM
Carrau L
Damani-Yokota P
Yeung ST
Khairallah C
Vela Gartner A
Chalhoub N
Huang E
Ashe HJ
Khanna KM
Maurano MT
Kim SY
tenOever BR
Boeke JD
Source :
Nature [Nature] 2023 Nov; Vol. 623 (7986), pp. 423-431. Date of Electronic Publication: 2023 Nov 01.
Publication Year :
2023

Abstract

Genetically engineered mouse models (GEMMs) help us to understand human pathologies and develop new therapies, yet faithfully recapitulating human diseases in mice is challenging. Advances in genomics have highlighted the importance of non-coding regulatory genome sequences, which control spatiotemporal gene expression patterns and splicing in many human diseases <superscript>1,2</superscript> . Including regulatory extensive genomic regions, which requires large-scale genome engineering, should enhance the quality of disease modelling. Existing methods set limits on the size and efficiency of DNA delivery, hampering the routine creation of highly informative models that we call genomically rewritten and tailored GEMMs (GREAT-GEMMs). Here we describe 'mammalian switching antibiotic resistance markers progressively for integration' (mSwAP-In), a method for efficient genome rewriting in mouse embryonic stem cells. We demonstrate the use of mSwAP-In for iterative genome rewriting of up to 115 kb of a tailored Trp53 locus, as well as for humanization of mice using 116 kb and 180 kb human ACE2 loci. The ACE2 model recapitulated human ACE2 expression patterns and splicing, and notably, presented milder symptoms when challenged with SARS-CoV-2 compared with the existing K18-hACE2 model, thus representing a more human-like model of infection. Finally, we demonstrated serial genome writing by humanizing mouse Tmprss2 biallelically in the ACE2 GREAT-GEMM, highlighting the versatility of mSwAP-In in genome writing.<br /> (© 2023. The Author(s).)

Details

Language :
English
ISSN :
1476-4687
Volume :
623
Issue :
7986
Database :
MEDLINE
Journal :
Nature
Publication Type :
Academic Journal
Accession number :
37914927
Full Text :
https://doi.org/10.1038/s41586-023-06675-4