AutoESDCas: A Web-Based Tool for the Whole-Workflow Editing Sequence Design for Microbial Genome Editing Based on the CRISPR/Cas System

IF 3.7 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS ACS Synthetic Biology Pub Date : 2024-06-06 DOI:10.1021/acssynbio.4c00063
Chunhe Yang, Yi Yang, Guangyun Chu, Ruoyu Wang, Haoran Li, Yufeng Mao, Meng Wang, Jian Zhang, Xiaoping Liao* and Hongwu Ma*, 
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Abstract

Genome editing is the basis for the modification of engineered microbes. In the process of genome editing, the design of editing sequences, such as primers and sgRNA, is very important for the accurate positioning of editing sites and efficient sequence editing. The whole process of genome editing involves multiple rounds and types of editing sequence design, while the development of related whole-workflow design tools for high-throughput experimental requirements lags. Here, we propose AutoESDCas, an online tool for the end-to-end editing sequence design for microbial genome editing based on the CRISPR/Cas system. This tool facilitates all types of genetic manipulation covering diverse experimental requirements and design scenarios, enables biologists to quickly and efficiently obtain all editing sequences needed for the entire genome editing process, and empowers high-throughput strain modification. Notably, with its off-target risk assessment function for editing sequences, the usability of the design results is significantly improved. AutoESDCas is freely available at https://autoesdcas.biodesign.ac.cn/with the source code at https://github.com/tibbdc/AutoESDCas/.

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AutoESDCas:基于 CRISPR/Cas 系统的微生物基因组编辑全流程编辑序列设计网络工具》。
基因组编辑是改造工程微生物的基础。在基因组编辑过程中,引物和 sgRNA 等编辑序列的设计对于准确定位编辑位点和高效编辑序列非常重要。基因组编辑的整个过程涉及多轮、多类型的编辑序列设计,而针对高通量实验要求的相关全流程设计工具的开发却相对滞后。在此,我们提出了基于CRISPR/Cas系统的微生物基因组编辑端到端编辑序列设计在线工具AutoESDCas。该工具适用于各种类型的遗传操作,涵盖不同的实验要求和设计方案,使生物学家能够快速高效地获得整个基因组编辑过程所需的所有编辑序列,并实现高通量菌株改造。值得注意的是,通过对编辑序列的脱靶风险评估功能,设计结果的可用性得到了显著提高。AutoESDCas 可在 https://autoesdcas.biodesign.ac.cn/with 免费获取源代码,网址是 https://github.com/tibbdc/AutoESDCas/。
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来源期刊
CiteScore
8.00
自引率
10.60%
发文量
380
审稿时长
6-12 weeks
期刊介绍: The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism. Topics may include, but are not limited to: Design and optimization of genetic systems Genetic circuit design and their principles for their organization into programs Computational methods to aid the design of genetic systems Experimental methods to quantify genetic parts, circuits, and metabolic fluxes Genetic parts libraries: their creation, analysis, and ontological representation Protein engineering including computational design Metabolic engineering and cellular manufacturing, including biomass conversion Natural product access, engineering, and production Creative and innovative applications of cellular programming Medical applications, tissue engineering, and the programming of therapeutic cells Minimal cell design and construction Genomics and genome replacement strategies Viral engineering Automated and robotic assembly platforms for synthetic biology DNA synthesis methodologies Metagenomics and synthetic metagenomic analysis Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction Gene optimization Methods for genome-scale measurements of transcription and metabolomics Systems biology and methods to integrate multiple data sources in vitro and cell-free synthetic biology and molecular programming Nucleic acid engineering.
期刊最新文献
Efficient Strategy for Synthesizing Vector-Free and Oncolytic Herpes Simplex Type 1 Viruses. One-Pot Assay for Rapid Detection of Stenotrophomonas maltophilia by RPA-CRISPR/Cas12a. Correction to "Cell-Free Gene Expression Dynamics in Synthetic Cell Populations". The Potential of Artificial Cells Functioning under In Situ Deep-Sea Conditions. Disentangling the Regulatory Response of Agrobacterium tumefaciens CHLDO to Glyphosate for Engineering Whole-Cell Phosphonate Biosensors.
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