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      A versatile platform for locus-scale genome rewriting and verification

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          Significance

          Functional analysis of noncoding genomic regulatory elements, which harbor the majority of common human disease and trait associations, is complicated by their cellular and genomic context sensitivity. We developed Big-IN, a method for rewriting large segments of mammalian genomes, including full genes and their surrounding regulatory elements. We demonstrate a flexible genomic verification pipeline to identify correctly engineered cells. We expect Big-IN will enable technologies for synthesis and assembly of large DNAs to catalyze a synthetic approach to regulatory genomics.

          Abstract

          Routine rewriting of loci associated with human traits and diseases would facilitate their functional analysis. However, existing DNA integration approaches are limited in terms of scalability and portability across genomic loci and cellular contexts. We describe Big-IN, a versatile platform for targeted integration of large DNAs into mammalian cells. CRISPR/Cas9-mediated targeting of a landing pad enables subsequent recombinase-mediated delivery of variant payloads and efficient positive/negative selection for correct clones in mammalian stem cells. We demonstrate integration of constructs up to 143 kb, and an approach for one-step scarless delivery. We developed a staged pipeline combining PCR genotyping and targeted capture sequencing for economical and comprehensive verification of engineered stem cells. Our approach should enable combinatorial interrogation of genomic functional elements and systematic locus-scale analysis of genome function.

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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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              Genome engineering using the CRISPR-Cas9 system.

              Targeted nucleases are powerful tools for mediating genome alteration with high precision. The RNA-guided Cas9 nuclease from the microbial clustered regularly interspaced short palindromic repeats (CRISPR) adaptive immune system can be used to facilitate efficient genome engineering in eukaryotic cells by simply specifying a 20-nt targeting sequence within its guide RNA. Here we describe a set of tools for Cas9-mediated genome editing via nonhomologous end joining (NHEJ) or homology-directed repair (HDR) in mammalian cells, as well as generation of modified cell lines for downstream functional studies. To minimize off-target cleavage, we further describe a double-nicking strategy using the Cas9 nickase mutant with paired guide RNAs. This protocol provides experimentally derived guidelines for the selection of target sites, evaluation of cleavage efficiency and analysis of off-target activity. Beginning with target design, gene modifications can be achieved within as little as 1-2 weeks, and modified clonal cell lines can be derived within 2-3 weeks.
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                Author and article information

                Journal
                Proc Natl Acad Sci U S A
                Proc Natl Acad Sci U S A
                pnas
                pnas
                PNAS
                Proceedings of the National Academy of Sciences of the United States of America
                National Academy of Sciences
                0027-8424
                1091-6490
                09 March 2021
                01 March 2021
                01 March 2021
                : 118
                : 10
                : e2023952118
                Affiliations
                [1] aInstitute for Systems Genetics, NYU Langone Health , New York, NY 10016;
                [2] bDepartment of Biochemistry and Molecular Pharmacology, NYU Langone Health , New York, NY 10016;
                [3] cDepartment of Biomedical Engineering, NYU Tandon School of Engineering , Brooklyn 11201, NY;
                [4] dDepartment of Pathology, NYU Langone Health , New York, NY 10016
                Author notes
                4To whom correspondence may be addressed. Email: jef.boeke@ 123456nyulangone.org .

                Contributed by Jef D. Boeke, January 14, 2021 (sent for review November 19, 2020; reviewed by Barak A. Cohen and Evgeny Kvon)

                Author contributions: R.B., J.M.L., S.P., J.D.B., and M.T.M. designed research; R.B., J.M.L., R.O., E.H., M.S.H., A.M.H., L.A.M., and R.D.L. performed research; R.B., J.M.L., R.O., L.A.M., J.A.C., D.M.T., and J.D.B. contributed new reagents/analytic tools; R.B., J.M.L., R.O., J.A.C., J.D.B., and M.T.M. analyzed data; and R.B., J.D.B., and M.T.M. wrote the paper.

                Reviewers: B.A.C., Washington University in St. Louis School of Medicine; and E.K., University of California, Irvine.

                1R.B. and J.M.L. contributed equally to this work.

                2Present address: Department of Research and Development, Pandemic Response Lab NYC, New York, NY 10016.

                3Present address: Department of Research and Development, Neochromosome, New York, NY 10016.

                Author information
                https://orcid.org/0000-0001-9714-8623
                https://orcid.org/0000-0003-3796-210X
                https://orcid.org/0000-0002-5121-5111
                https://orcid.org/0000-0001-5322-4946
                Article
                202023952
                10.1073/pnas.2023952118
                7958457
                33649239
                d27966c7-2862-4947-baac-f878ea094bce
                Copyright © 2021 the Author(s). Published by PNAS.

                This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND).

                History
                Page count
                Pages: 11
                Funding
                Funded by: NIH NHGRI
                Award ID: RM1HG009491
                Award Recipient : Ran Brosh Award Recipient : Jon Laurent Award Recipient : Raquel Ordoñez Award Recipient : Emily Huang Award Recipient : Megan S Hogan Award Recipient : Angela Hitchcock Award Recipient : Leslie A Mitchell Award Recipient : Sudarshan Pinglay Award Recipient : John Cadley Award Recipient : Raven Luther Award Recipient : David M Truong Award Recipient : Jef D. Boeke Award Recipient : Matthew Maurano
                Funded by: NIH NIGMS
                Award ID: R35GM119703
                Award Recipient : Ran Brosh Award Recipient : Jon Laurent Award Recipient : Raquel Ordoñez Award Recipient : Emily Huang Award Recipient : Megan S Hogan Award Recipient : Angela Hitchcock Award Recipient : Leslie A Mitchell Award Recipient : Sudarshan Pinglay Award Recipient : John Cadley Award Recipient : Raven Luther Award Recipient : David M Truong Award Recipient : Jef D. Boeke Award Recipient : Matthew Maurano
                Funded by: Colton Center for Autoimmunity
                Award ID: none
                Award Recipient : Ran Brosh Award Recipient : Jon Laurent Award Recipient : Raquel Ordoñez Award Recipient : Emily Huang Award Recipient : Megan S Hogan Award Recipient : Angela Hitchcock Award Recipient : Leslie A Mitchell Award Recipient : Sudarshan Pinglay Award Recipient : John Cadley Award Recipient : Raven Luther Award Recipient : David M Truong Award Recipient : Jef D. Boeke Award Recipient : Matthew Maurano
                Categories
                419
                Biological Sciences
                Genetics

                genome engineering,genome writing,regulatory genomics,stem cells,synthetic biology

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