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      Prime editing in mice reveals the essentiality of a single base in driving tissue-specific gene expression

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          Abstract

          Background

          Most single nucleotide variants (SNVs) occur in noncoding sequence where millions of transcription factor binding sites (TFBS) reside. Here, a comparative analysis of CRISPR-mediated homology-directed repair (HDR) versus the recently reported prime editing 2 (PE2) system was carried out in mice over a TFBS called a CArG box in the Tspan2 promoter.

          Results

          Quantitative RT-PCR showed loss of Tspan2 mRNA in aorta and bladder, but not heart or brain, of mice homozygous for an HDR-mediated three base pair substitution in the Tspan2 CArG box. Using the same protospacer, mice homozygous for a PE2-mediated single-base substitution in the Tspan2 CArG box displayed similar cell-specific loss of Tspan2 mRNA; expression of an overlapping long noncoding RNA was also nearly abolished in aorta and bladder. Immuno-RNA fluorescence in situ hybridization validated loss of Tspan2 in vascular smooth muscle cells of HDR and PE2 CArG box mutant mice. Targeted sequencing demonstrated variable frequencies of on-target editing in all PE2 and HDR founders. However, whereas no on-target indels were detected in any of the PE2 founders, all HDR founders showed varying levels of on-target indels. Off-target analysis by targeted sequencing revealed mutations in many HDR founders, but none in PE2 founders.

          Conclusions

          PE2 directs high-fidelity editing of a single base in a TFBS leading to cell-specific loss in expression of an mRNA/long noncoding RNA gene pair. The PE2 platform expands the genome editing toolbox for modeling and correcting relevant noncoding SNVs in the mouse.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s13059-021-02304-3.

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          Most cited references57

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          Trimmomatic: a flexible trimmer for Illumina sequence data

          Motivation: Although many next-generation sequencing (NGS) read preprocessing tools already existed, we could not find any tool or combination of tools that met our requirements in terms of flexibility, correct handling of paired-end data and high performance. We have developed Trimmomatic as a more flexible and efficient preprocessing tool, which could correctly handle paired-end data. Results: The value of NGS read preprocessing is demonstrated for both reference-based and reference-free tasks. Trimmomatic is shown to produce output that is at least competitive with, and in many cases superior to, that produced by other tools, in all scenarios tested. Availability and implementation: Trimmomatic is licensed under GPL V3. It is cross-platform (Java 1.5+ required) and available at http://www.usadellab.org/cms/index.php?page=trimmomatic Contact: usadel@bio1.rwth-aachen.de Supplementary information: Supplementary data are available at Bioinformatics online.
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            Fast and accurate short read alignment with Burrows–Wheeler transform

            Motivation: The enormous amount of short reads generated by the new DNA sequencing technologies call for the development of fast and accurate read alignment programs. A first generation of hash table-based methods has been developed, including MAQ, which is accurate, feature rich and fast enough to align short reads from a single individual. However, MAQ does not support gapped alignment for single-end reads, which makes it unsuitable for alignment of longer reads where indels may occur frequently. The speed of MAQ is also a concern when the alignment is scaled up to the resequencing of hundreds of individuals. Results: We implemented Burrows-Wheeler Alignment tool (BWA), a new read alignment package that is based on backward search with Burrows–Wheeler Transform (BWT), to efficiently align short sequencing reads against a large reference sequence such as the human genome, allowing mismatches and gaps. BWA supports both base space reads, e.g. from Illumina sequencing machines, and color space reads from AB SOLiD machines. Evaluations on both simulated and real data suggest that BWA is ∼10–20× faster than MAQ, while achieving similar accuracy. In addition, BWA outputs alignment in the new standard SAM (Sequence Alignment/Map) format. Variant calling and other downstream analyses after the alignment can be achieved with the open source SAMtools software package. Availability: http://maq.sourceforge.net Contact: rd@sanger.ac.uk
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              FLASH: fast length adjustment of short reads to improve genome assemblies.

              Next-generation sequencing technologies generate very large numbers of short reads. Even with very deep genome coverage, short read lengths cause problems in de novo assemblies. The use of paired-end libraries with a fragment size shorter than twice the read length provides an opportunity to generate much longer reads by overlapping and merging read pairs before assembling a genome. We present FLASH, a fast computational tool to extend the length of short reads by overlapping paired-end reads from fragment libraries that are sufficiently short. We tested the correctness of the tool on one million simulated read pairs, and we then applied it as a pre-processor for genome assemblies of Illumina reads from the bacterium Staphylococcus aureus and human chromosome 14. FLASH correctly extended and merged reads >99% of the time on simulated reads with an error rate of <1%. With adequately set parameters, FLASH correctly merged reads over 90% of the time even when the reads contained up to 5% errors. When FLASH was used to extend reads prior to assembly, the resulting assemblies had substantially greater N50 lengths for both contigs and scaffolds. The FLASH system is implemented in C and is freely available as open-source code at http://www.cbcb.umd.edu/software/flash. t.magoc@gmail.com.
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                Author and article information

                Contributors
                panpangao1121@163.com
                lvtsing@hotmail.com
                asalem@augusta.edu
                Cicera.Lazzarotto@stjude.org
                gnewby@broadinstitute.org
                wzhang1@augusta.edu
                mihyun.711@gmail.com
                oslivano@augusta.edu
                kevin.holden@synthego.com
                john.walker@synthego.com
                Anastasia.kadina@synthego.com
                rjm69@cornell.edu
                ca258@cornell.edu
                jcs92@cornell.edu
                dliu@broadinstitute.org
                Shengdar.Tsai@stjude.org
                xlong@augusta.edu
                jmiano@augusta.edu
                Journal
                Genome Biol
                Genome Biol
                Genome Biology
                BioMed Central (London )
                1474-7596
                1474-760X
                16 March 2021
                16 March 2021
                2021
                : 22
                : 83
                Affiliations
                [1 ]GRID grid.410427.4, ISNI 0000 0001 2284 9329, Department of Medicine, Vascular Biology Center, , Medical College of Georgia at Augusta University, ; Augusta, GA 30912 USA
                [2 ]GRID grid.240871.8, ISNI 0000 0001 0224 711X, Department of Hematology, , St. Jude Children’s Research Hospital, ; Memphis, TN 38195 USA
                [3 ]GRID grid.66859.34, Merkin Institute of Transformative Technologies in Healthcare, , Broad Institute of MIT and Harvard, ; Cambridge, MA 02142 USA
                [4 ]GRID grid.38142.3c, ISNI 000000041936754X, Department of Chemistry and Chemical Biology, , Harvard University, ; Cambridge, MA 02138 USA
                [5 ]GRID grid.38142.3c, ISNI 000000041936754X, Howard Hughes Medical Institute, , Harvard University, ; Cambridge, MA 02138 USA
                [6 ]GRID grid.413558.e, ISNI 0000 0001 0427 8745, Department of Physiology, , Albany Medical College, ; Albany, NY 12208 USA
                [7 ]Synthego Corporation, Redwood City, CA 94025 USA
                [8 ]GRID grid.5386.8, ISNI 000000041936877X, Department of Biomedical Sciences, , Cornell University, ; Ithaca, NY 14853 USA
                Author information
                http://orcid.org/0000-0001-7522-3207
                Article
                2304
                10.1186/s13059-021-02304-3
                7962346
                33722289
                b914ad03-b474-418c-975b-098b9e5cb32f
                © The Author(s) 2021

                Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 21 November 2020
                : 24 February 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000050, National Heart, Lung, and Blood Institute;
                Award ID: HL138987
                Award ID: HL136224
                Award ID: HL147476
                Award ID: HL122686
                Award ID: HL139794
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000049, National Institute on Aging;
                Award ID: U142756
                Award ID: 15055101
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000002, National Institutes of Health;
                Award ID: UG3TR002636
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000051, National Human Genome Research Institute;
                Award ID: 009490
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100000057, National Institute of General Medical Sciences;
                Award ID: 118062
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100005237, Helen Hay Whitney Foundation;
                Funded by: FundRef http://dx.doi.org/10.13039/100000968, American Heart Association;
                Award ID: 18CDA34110319
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2021

                Genetics
                mouse,crispr,prime editing,genome editing,transcription,gene expression
                Genetics
                mouse, crispr, prime editing, genome editing, transcription, gene expression

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