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支持 CRISPR-Cas 实验的计算工具和资源。

Computational Tools and Resources Supporting CRISPR-Cas Experiments.

机构信息

Department of Genome Engineering, Institute of Bioorganic Chemistry, Polish Academy of Sciences, Noskowskiego 12/14, 61-704 Poznan, Poland.

出版信息

Cells. 2020 May 22;9(5):1288. doi: 10.3390/cells9051288.

DOI:10.3390/cells9051288
PMID:32455882
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7290941/
Abstract

The CRISPR-Cas system has become a cutting-edge technology that revolutionized genome engineering. The use of Cas9 nuclease is currently the method of choice in most tasks requiring a specific DNA modification. The rapid development in the field of CRISPR-Cas is reflected by the constantly expanding ecosystem of computational tools aimed at facilitating experimental design and result analysis. The first group of CRISPR-Cas-related tools that we review is dedicated to aid in guide RNA design by prediction of their efficiency and specificity. The second, relatively new group of tools exploits the observed biases in repair outcomes to predict the results of CRISPR-Cas edits. The third class of tools is developed to assist in the evaluation of the editing outcomes by analysis of the sequencing data. These utilities are accompanied by relevant repositories and databases. Here we present a comprehensive and updated overview of the currently available CRISPR-Cas-related tools, from the perspective of a user who needs a convenient and reliable means to facilitate genome editing experiments at every step, from the guide RNA design to analysis of editing outcomes. Moreover, we discuss the current limitations and challenges that the field must overcome for further improvement in the CRISPR-Cas endeavor.

摘要

CRISPR-Cas 系统已成为一项颠覆性技术,彻底改变了基因组工程领域。目前,在大多数需要特定 DNA 修饰的任务中,Cas9 核酸酶的使用是首选方法。CRISPR-Cas 领域的快速发展反映在不断扩展的计算工具生态系统中,这些工具旨在促进实验设计和结果分析。我们回顾的第一组 CRISPR-Cas 相关工具旨在通过预测其效率和特异性来辅助指导 RNA 的设计。第二组相对较新的工具利用观察到的修复结果偏差来预测 CRISPR-Cas 编辑的结果。第三类工具是为了通过分析测序数据来协助评估编辑结果而开发的。这些实用程序伴随着相关的存储库和数据库。在这里,我们从用户的角度全面而更新地介绍了当前可用的 CRISPR-Cas 相关工具,用户需要一种方便可靠的方法来在每个步骤(从指导 RNA 设计到编辑结果分析)促进基因组编辑实验。此外,我们还讨论了该领域必须克服的当前限制和挑战,以进一步改进 CRISPR-Cas 的努力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cae/7290941/704b2470870f/cells-09-01288-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cae/7290941/3b3fae935453/cells-09-01288-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cae/7290941/704b2470870f/cells-09-01288-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cae/7290941/3b3fae935453/cells-09-01288-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6cae/7290941/704b2470870f/cells-09-01288-g002.jpg

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NAR Genom Bioinform. 2020 Jun;2(2):lqaa012. doi: 10.1093/nargab/lqaa012. Epub 2020 Feb 21.
2
[Methods of Evaluating the Efficiency of CRISPR/Cas Genome Editing].[评估CRISPR/Cas基因组编辑效率的方法]
Mol Biol (Mosk). 2019 Nov-Dec;53(6):982-997. doi: 10.1134/S0026898419060119.
3
SNP-CRISPR: A Web Tool for SNP-Specific Genome Editing.SNP-CRISPR:一个用于 SNP 特异性基因组编辑的网络工具。
植物基因组编辑中的关键考量因素与计算工具
Heliyon. 2024 Dec 14;11(1):e41135. doi: 10.1016/j.heliyon.2024.e41135. eCollection 2025 Jan 15.
4
Structure-optimized sgRNA selection with PlatinumCRISPr for efficient Cas9 generation of knockouts.使用PlatinumCRISPr进行结构优化的sgRNA选择以高效产生Cas9基因敲除。
Genome Res. 2024 Dec 23;34(12):2279-2292. doi: 10.1101/gr.279479.124.
5
Codon usage and expression-based features significantly improve prediction of CRISPR efficiency.密码子使用和基于表达的特征显著提高了 CRISPR 效率的预测。
NPJ Syst Biol Appl. 2024 Sep 3;10(1):100. doi: 10.1038/s41540-024-00431-8.
6
Meta-2OM: A multi-classifier meta-model for the accurate prediction of RNA 2'-O-methylation sites in human RNA.Meta-2OM:一种用于准确预测人类 RNA 2'-O-甲基化位点的多分类器元模型。
PLoS One. 2024 Jun 26;19(6):e0305406. doi: 10.1371/journal.pone.0305406. eCollection 2024.
7
Strong association between genomic 3D structure and CRISPR cleavage efficiency.基因组三维结构与 CRISPR 切割效率之间存在很强的关联。
PLoS Comput Biol. 2024 Jun 7;20(6):e1012214. doi: 10.1371/journal.pcbi.1012214. eCollection 2024 Jun.
8
Emerging Gene Therapeutics for Epidermolysis Bullosa under Development.正在开发中的新型基因疗法治疗大疱性表皮松解症。
Int J Mol Sci. 2024 Feb 13;25(4):2243. doi: 10.3390/ijms25042243.
9
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J Fungi (Basel). 2024 Feb 16;10(2):157. doi: 10.3390/jof10020157.
10
SynBioTools: a one-stop facility for searching and selecting synthetic biology tools.SynBioTools:一站式搜索和选择合成生物学工具的平台。
BMC Bioinformatics. 2023 Apr 17;24(1):152. doi: 10.1186/s12859-023-05281-5.
G3 (Bethesda). 2020 Feb 6;10(2):489-494. doi: 10.1534/g3.119.400904.
4
AlleleAnalyzer: a tool for personalized and allele-specific sgRNA design.AlleleAnalyzer:用于个性化和等位基因特异性 sgRNA 设计的工具。
Genome Biol. 2019 Aug 15;20(1):167. doi: 10.1186/s13059-019-1783-3.
5
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Bioengineering (Basel). 2019 Jul 25;6(3):63. doi: 10.3390/bioengineering6030063.
6
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7
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10
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