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      In vivo mitochondrial base editing via adeno-associated viral delivery to mouse post-mitotic tissue

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          Abstract

          Mitochondria host key metabolic processes vital for cellular energy provision and are central to cell fate decisions. They are subjected to unique genetic control by both nuclear DNA and their own multi-copy genome - mitochondrial DNA (mtDNA). Mutations in mtDNA often lead to clinically heterogeneous, maternally inherited diseases that display different organ-specific presentation at any stage of life. For a long time, genetic manipulation of mammalian mtDNA has posed a major challenge, impeding our ability to understand the basic mitochondrial biology and mechanisms underpinning mitochondrial disease. However, an important new tool for mtDNA mutagenesis has emerged recently, namely double-stranded DNA deaminase (DddA)-derived cytosine base editor (DdCBE). Here, we test this emerging tool for in vivo use, by delivering DdCBEs into mouse heart using adeno-associated virus (AAV) vectors and show that it can install desired mtDNA edits in adult and neonatal mice. This work provides proof-of-concept for use of DdCBEs to mutagenize mtDNA in vivo in post-mitotic tissues and provides crucial insights into potential translation to human somatic gene correction therapies to treat primary mitochondrial disease phenotypes.

          Abstract

          Mutations in mitochondrial DNA can lead to clinically heterogeneous disease. Here the authors demonstrate in vivo base editing of mouse mitochondrial DNA in a post-mitotic tissue by AAV delivery of DddA-derived cytosine base editor (DdCBE).

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          Most cited references40

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            Cutadapt removes adapter sequences from high-throughput sequencing reads

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              VarScan 2: somatic mutation and copy number alteration discovery in cancer by exome sequencing.

              Cancer is a disease driven by genetic variation and mutation. Exome sequencing can be utilized for discovering these variants and mutations across hundreds of tumors. Here we present an analysis tool, VarScan 2, for the detection of somatic mutations and copy number alterations (CNAs) in exome data from tumor-normal pairs. Unlike most current approaches, our algorithm reads data from both samples simultaneously; a heuristic and statistical algorithm detects sequence variants and classifies them by somatic status (germline, somatic, or LOH); while a comparison of normalized read depth delineates relative copy number changes. We apply these methods to the analysis of exome sequence data from 151 high-grade ovarian tumors characterized as part of the Cancer Genome Atlas (TCGA). We validated some 7790 somatic coding mutations, achieving 93% sensitivity and 85% precision for single nucleotide variant (SNV) detection. Exome-based CNA analysis identified 29 large-scale alterations and 619 focal events per tumor on average. As in our previous analysis of these data, we observed frequent amplification of oncogenes (e.g., CCNE1, MYC) and deletion of tumor suppressors (NF1, PTEN, and CDKN2A). We searched for additional recurrent focal CNAs using the correlation matrix diagonal segmentation (CMDS) algorithm, which identified 424 significant events affecting 582 genes. Taken together, our results demonstrate the robust performance of VarScan 2 for somatic mutation and CNA detection and shed new light on the landscape of genetic alterations in ovarian cancer.
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                Author and article information

                Contributors
                michal.minczuk@mrc-mbu.cam.ac.uk
                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Publishing Group UK (London )
                2041-1723
                8 February 2022
                8 February 2022
                2022
                : 13
                : 750
                Affiliations
                GRID grid.5335.0, ISNI 0000000121885934, MRC Mitochondrial Biology Unit, , University of Cambridge, ; Cambridge, CB2 0XY UK
                Author information
                http://orcid.org/0000-0002-0872-5749
                http://orcid.org/0000-0001-7809-1473
                http://orcid.org/0000-0001-5091-5055
                http://orcid.org/0000-0001-9586-9523
                http://orcid.org/0000-0001-8242-1420
                Article
                28358
                10.1038/s41467-022-28358-w
                8825850
                35136065
                570ee7d8-0070-4a1d-8326-c039717a6502
                © The Author(s) 2022

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 14 September 2021
                : 21 January 2022
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100009187, RCUK | MRC | Medical Research Foundation;
                Award ID: MC_UU_00015/4
                Award ID: MC_UU_00015/4
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/501100000265, RCUK | Medical Research Council (MRC);
                Award ID: MC_UU_00015/4
                Award ID: MC_UU_00015/4
                Award ID: MC_UU_00015/4
                Award Recipient :
                Categories
                Article
                Custom metadata
                © The Author(s) 2022

                Uncategorized
                mitochondria,mitochondrial genome,genome
                Uncategorized
                mitochondria, mitochondrial genome, genome

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