Literature DB >> 31526571

Predicting CRISPR/Cas9-Induced Mutations for Precise Genome Editing.

Kutubuddin A Molla1, Yinong Yang2.   

Abstract

SpCas9 creates blunt end cuts in the genome and generates random and unpredictable mutations through error-prone repair systems. However, a growing body of recent evidence points instead to Cas9-induced staggered end generation, nonrandomness of mutations, and the predictability of editing outcomes using machine learning models.
Copyright © 2019 Elsevier Ltd. All rights reserved.

Keywords:  CRISPR therapeutics; Cas9 mutagenesis; Cas9 repair outcome prediction; Cas9 staggered cut; machine learning; template-free precise editing

Mesh:

Year:  2019        PMID: 31526571     DOI: 10.1016/j.tibtech.2019.08.002

Source DB:  PubMed          Journal:  Trends Biotechnol        ISSN: 0167-7799            Impact factor:   19.536


  11 in total

1.  Predicting CRISPR/Cas9 Repair Outcomes by Attention-Based Deep Learning Framework.

Authors:  Xiuqin Liu; Shuya Wang; Dongmei Ai
Journal:  Cells       Date:  2022-06-05       Impact factor: 7.666

Review 2.  CRISPR/Cas9 in Planta Hairy Root Transformation: A Powerful Platform for Functional Analysis of Root Traits in Soybean.

Authors:  Mohsen Niazian; François Belzile; Davoud Torkamaneh
Journal:  Plants (Basel)       Date:  2022-04-12

Review 3.  Precision Breeding Made Real with CRISPR: Illustration through Genetic Resistance to Pathogens.

Authors:  Florian Veillet; Mickael Durand; Thomas Kroj; Stella Cesari; Jean-Luc Gallois
Journal:  Plant Commun       Date:  2020-07-25

4.  Maximizing CRISPR/Cas9 phenotype penetrance applying predictive modeling of editing outcomes in Xenopus and zebrafish embryos.

Authors:  Thomas Naert; Dieter Tulkens; Nicole A Edwards; Marjolein Carron; Nikko-Ideen Shaidani; Marcin Wlizla; Annekatrien Boel; Suzan Demuynck; Marko E Horb; Paul Coucke; Andy Willaert; Aaron M Zorn; Kris Vleminckx
Journal:  Sci Rep       Date:  2020-09-04       Impact factor: 4.379

5.  Simplified Gene Knockout by CRISPR-Cas9-Induced Homologous Recombination.

Authors:  Neil C Dalvie; Timothy Lorgeree; Andrew M Biedermann; Kerry R Love; J Christopher Love
Journal:  ACS Synth Biol       Date:  2021-12-09       Impact factor: 5.110

6.  Modulating DNA Repair Pathways to Diversify Genomic Alterations in Saccharomyces cerevisiae.

Authors:  Zhen Wang; Yuping Lin; Zongjie Dai; Qinhong Wang
Journal:  Microbiol Spectr       Date:  2022-03-30

7.  Predictable NHEJ Insertion and Assessment of HDR Editing Strategies in Plants.

Authors:  Kutubuddin A Molla; Justin Shih; Matthew S Wheatley; Yinong Yang
Journal:  Front Genome Ed       Date:  2022-03-16

8.  Optimization of Prime Editing in Rice, Peanut, Chickpea, and Cowpea Protoplasts by Restoration of GFP Activity.

Authors:  Sudip Biswas; Aya Bridgeland; Samra Irum; Michael J Thomson; Endang M Septiningsih
Journal:  Int J Mol Sci       Date:  2022-08-29       Impact factor: 6.208

9.  CROTON: an automated and variant-aware deep learning framework for predicting CRISPR/Cas9 editing outcomes.

Authors:  Victoria R Li; Zijun Zhang; Olga G Troyanskaya
Journal:  Bioinformatics       Date:  2021-07-12       Impact factor: 6.937

Review 10.  Context-Dependent Strategies for Enhanced Genome Editing of Genodermatoses.

Authors:  Oliver Patrick March; Thomas Kocher; Ulrich Koller
Journal:  Cells       Date:  2020-01-02       Impact factor: 6.600

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