Similar Datasets
Project description: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 diseases1,2. 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.
| S-EPMC10632133 | biostudies-literature
Project description:Genetically Engineered Mouse Models (GEMMs) aid in understanding human pathologies and developing new therapeutics, yet recapitulating human diseases authentically in mice is challenging to design and execute. Advances in genomics have highlighted the importance of non-coding regulatory genome sequences controlling spatiotemporal gene expression patterns and splicing to human diseases. It is thus apparent that including regulatory genomic regions during the engineering of GEMMs is highly preferable for disease modeling, with the prerequisite of large-scale genome engineering ability. Existing genome engineering methods have limits on the size and efficiency of DNA delivery, hampering routine creation of highly informative GEMMs. Here, we describe mSwAP-In (mammalian Switching Antibiotic resistance markers Progressively for Integration), a method for efficient genome rewriting in mouse embryonic stem cells. We first demonstrated the use of mSwAP-In for iterative genome rewriting of up to 115 kb of the Trp53 locus, as well as for genomic humanization of up to 180 kb ACE2 locus in response to the COVID-19 pandemic. Second, we showed the hACE2 GEMM authentically recapitulated human ACE2 expression patterns and splicing, and importantly, presented milder symptoms without mortality when challenged with SARS-CoV-2 compared to the K18-ACE2 model, thus representing a more authentic model of infection. Lastly, we demonstrated serial genome writing by humanizing mouse Tmprss2 in a biallelic fashion, highlighting the versatility of mSwAP-In in mouse genome writing.
2023-08-13 | GSE235162 | GEO
Project description:Genetically Engineered Mouse Models (GEMMs) aid in understanding human pathologies and developing new therapeutics, yet recapitulating human diseases authentically in mice is challenging to design and execute. Advances in genomics have highlighted the importance of non-coding regulatory genome sequences controlling spatiotemporal gene expression patterns and splicing to human diseases. It is thus apparent that including regulatory genomic regions during the engineering of GEMMs is highly preferable for disease modeling, with the prerequisite of large-scale genome engineering ability. Existing genome engineering methods have limits on the size and efficiency of DNA delivery, hampering routine creation of highly informative GEMMs. Here, we describe mSwAP-In (mammalian Switching Antibiotic resistance markers Progressively for Integration), a method for efficient genome rewriting in mouse embryonic stem cells. We first demonstrated the use of mSwAP-In for iterative genome rewriting of up to 115 kb of the Trp53 locus, as well as for genomic humanization of up to 180 kb ACE2 locus in response to the COVID-19 pandemic. Second, we showed the hACE2 GEMM authentically recapitulated human ACE2 expression patterns and splicing, and importantly, presented milder symptoms without mortality when challenged with SARS-CoV-2 compared to the K18-ACE2 model, thus representing a more authentic model of infection. Lastly, we demonstrated serial genome writing by humanizing mouse Tmprss2 in a biallelic fashion, highlighting the versatility of mSwAP-In in mouse genome writing.
2023-08-13 | GSE235159 | GEO
Project description:Genetically Engineered Mouse Models (GEMMs) aid in understanding human pathologies and developing new therapeutics, yet recapitulating human diseases authentically in mice is challenging to design and execute. Advances in genomics have highlighted the importance of non-coding regulatory genome sequences controlling spatiotemporal gene expression patterns and splicing to human diseases. It is thus apparent that including regulatory genomic regions during the engineering of GEMMs is highly preferable for disease modeling, with the prerequisite of large-scale genome engineering ability. Existing genome engineering methods have limits on the size and efficiency of DNA delivery, hampering routine creation of highly informative GEMMs. Here, we describe mSwAP-In (mammalian Switching Antibiotic resistance markers Progressively for Integration), a method for efficient genome rewriting in mouse embryonic stem cells. We first demonstrated the use of mSwAP-In for iterative genome rewriting of up to 115 kb of the Trp53 locus, as well as for genomic humanization of up to 180 kb ACE2 locus in response to the COVID-19 pandemic. Second, we showed the hACE2 GEMM authentically recapitulated human ACE2 expression patterns and splicing, and importantly, presented milder symptoms without mortality when challenged with SARS-CoV-2 compared to the K18-ACE2 model, thus representing a more authentic model of infection. Lastly, we demonstrated serial genome writing by humanizing mouse Tmprss2 in a biallelic fashion, highlighting the versatility of mSwAP-In in mouse genome writing.
2023-08-13 | GSE235153 | GEO
Project description:Genetically Engineered Mouse Models (GEMMs) aid in understanding human pathologies and developing new therapeutics, yet recapitulating human diseases authentically in mice is challenging to design and execute. Advances in genomics have highlighted the importance of non-coding regulatory genome sequences controlling spatiotemporal gene expression patterns and splicing to human diseases. It is thus apparent that including regulatory genomic regions during the engineering of GEMMs is highly preferable for disease modeling, with the prerequisite of large-scale genome engineering ability. Existing genome engineering methods have limits on the size and efficiency of DNA delivery, hampering routine creation of highly informative GEMMs. Here, we describe mSwAP-In (mammalian Switching Antibiotic resistance markers Progressively for Integration), a method for efficient genome rewriting in mouse embryonic stem cells. We first demonstrated the use of mSwAP-In for iterative genome rewriting of up to 115 kb of the Trp53 locus, as well as for genomic humanization of up to 180 kb ACE2 locus in response to the COVID-19 pandemic. Second, we showed the hACE2 GEMM authentically recapitulated human ACE2 expression patterns and splicing, and importantly, presented milder symptoms without mortality when challenged with SARS-CoV-2 compared to the K18-ACE2 model, thus representing a more authentic model of infection. Lastly, we demonstrated serial genome writing by humanizing mouse Tmprss2 in a biallelic fashion, highlighting the versatility of mSwAP-In in mouse genome writing.
2023-08-13 | GSE235150 | GEO
Project description:Mouse genome rewriting and tailoring of three important disease loci
| PRJNA984688 | ENA
Project description:Mouse genome rewriting and tailoring of three important disease loci [ChIP]
| PRJNA984681 | ENA
Project description:Mouse genome rewriting and tailoring of three important disease loci [DNA]
| PRJNA984693 | ENA
Project description:Mouse genome rewriting and tailoring of three important disease loci [ATAC]
| PRJNA984673 | ENA
Project description:Mouse genome rewriting and tailoring of three important disease loci [RNA]
| PRJNA984694 | ENA