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      Saturation Editing of Genomic Regions by Multiplex Homology-Directed Repair

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          Abstract

          Saturation mutagenesis 1, 2 – coupled to an appropriate biological assay – represents a fundamental means of achieving a high-resolution understanding of regulatory 3 and protein-coding 4 nucleic acid sequences of interest. However, mutagenized sequences introduced in trans on episomes or via random or “safe-harbor” integration fail to capture the native context of the endogenous chromosomal locus 5 . This shortcoming markedly limits the interpretability of the resulting measurements of mutational impact. Here, we couple CRISPR/Cas9 RNA-guided cleavage 6 with multiplex homology-directed repair (HDR) using a complex library of donor templates to demonstrate saturation editing of genomic regions. In exon 18 of BRCA1, we replace a six base-pair (bp) genomic region with all possible hexamers, or the full exon with all possible single nucleotide variants (SNVs), and measure strong effects on transcript abundance attributable to nonsense-mediated decay and exonic splicing elements. We similarly perform saturation genome editing of a well-conserved coding region of an essential gene, DBR1, and measure relative effects on growth that correlate with functional impact. Measurement of the functional consequences of large numbers of mutations with saturation genome editing will potentially facilitate high-resolution functional dissection of both cis-regulatory elements and trans-acting factors, as well as the interpretation of variants of uncertain significance observed in clinical sequencing.

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          Amino acid substitution matrices from protein blocks.

          Methods for alignment of protein sequences typically measure similarity by using a substitution matrix with scores for all possible exchanges of one amino acid with another. The most widely used matrices are based on the Dayhoff model of evolutionary rates. Using a different approach, we have derived substitution matrices from about 2000 blocks of aligned sequence segments characterizing more than 500 groups of related proteins. This led to marked improvements in alignments and in searches using queries from each of the groups.
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            FLASH Assembly of TALENs Enables High-Throughput Genome Editing

            Engineered transcription activator-like effector nucleases (TALENs) have shown promise as facile and broadly applicable genome editing tools. However, no publicly available high-throughput method for constructing TALENs has been published and large-scale assessments of the success rate and targeting range of the technology remain lacking. Here we describe the Fast Ligation-based Automatable Solid-phase High-throughput (FLASH) platform, a rapid and cost-effective method we developed to enable large-scale assembly of TALENs. We tested 48 FLASH-assembled TALEN pairs in a human cell-based EGFP reporter system and found that all 48 possessed efficient gene modification activities. We also used FLASH to assemble TALENs for 96 endogenous human genes implicated in cancer and/or epigenetic regulation and found that 84 pairs were able to efficiently introduce targeted alterations. Our results establish the robustness of TALEN technology and demonstrate that FLASH facilitates high-throughput genome editing at a scale not currently possible with engineered zinc-finger nucleases or meganucleases.
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              High Resolution Mapping of Protein Sequence–Function Relationships

              We present a large-scale approach to investigate the functional consequences of sequence variation in a protein. The approach entails the display of hundreds of thousands of protein variants, moderate selection for activity, and high throughput DNA sequencing to quantify the performance of each variant. Using this strategy, we tracked the performance of >600,000 variants of a human WW domain after three and six rounds of selection by phage display for binding to its peptide ligand. Binding properties of these variants defined a high-resolution map of mutational preference across the WW domain; each position possessed unique features that could not be captured by a few representative mutations. Our approach could be applied to many in vitro or in vivo protein assays, providing a general means for understanding how protein function relates to sequence.
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                Author and article information

                Journal
                0410462
                6011
                Nature
                Nature
                Nature
                0028-0836
                1476-4687
                22 July 2014
                4 September 2014
                04 March 2015
                : 513
                : 7516
                : 120-123
                Affiliations
                [1 ]Department of Genome Sciences, University of Washington, Seattle, WA 98195, USA
                Author notes
                [# ]Corresponding author: shendure@ 123456uw.edu (J.S.); gf2@ 123456uw.edu (G.M.F.)
                [*]

                These authors contributed equally to this work.

                Article
                NIHMS614935
                10.1038/nature13695
                4156553
                25141179
                280bc486-dc74-496b-8fba-27c7ac9816d4
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