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AutoESD: a web tool for automatic editing sequence design for genetic manipulation of microorganisms

Advances in genetic manipulation and genome engineering techniques have enabled on-demand targeted deletion, insertion, and substitution of DNA sequences. One important step in these techniques is the design of editing sequences (e.g. primers, homologous arms) to precisely target and manipulate DNA...

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Autores principales: Yang, Yi, Mao, Yufeng, Wang, Ruoyu, Li, Haoran, Liu, Ye, Cheng, Haijiao, Shi, Zhenkun, Wang, Yu, Wang, Meng, Zheng, Ping, Liao, Xiaoping, Ma, Hongwu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252779/
https://www.ncbi.nlm.nih.gov/pubmed/35639727
http://dx.doi.org/10.1093/nar/gkac417
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author Yang, Yi
Mao, Yufeng
Wang, Ruoyu
Li, Haoran
Liu, Ye
Cheng, Haijiao
Shi, Zhenkun
Wang, Yu
Wang, Meng
Zheng, Ping
Liao, Xiaoping
Ma, Hongwu
author_facet Yang, Yi
Mao, Yufeng
Wang, Ruoyu
Li, Haoran
Liu, Ye
Cheng, Haijiao
Shi, Zhenkun
Wang, Yu
Wang, Meng
Zheng, Ping
Liao, Xiaoping
Ma, Hongwu
author_sort Yang, Yi
collection PubMed
description Advances in genetic manipulation and genome engineering techniques have enabled on-demand targeted deletion, insertion, and substitution of DNA sequences. One important step in these techniques is the design of editing sequences (e.g. primers, homologous arms) to precisely target and manipulate DNA sequences of interest. Experimental biologists can employ multiple tools in a stepwise manner to assist editing sequence design (ESD), but this requires various software involving non-standardized data exchange and input/output formats. Moreover, necessary quality control steps might be overlooked by non-expert users. This approach is low-throughput and can be error-prone, which illustrates the need for an automated ESD system. In this paper, we introduce AutoESD (https://autoesd.biodesign.ac.cn/), which designs editing sequences for all steps of genetic manipulation of many common homologous-recombination techniques based on screening-markers. Notably, multiple types of manipulations for different targets (CDS or intergenic region) can be processed in one submission. Moreover, AutoESD has an entirely cloud-based serverless architecture, offering high reliability, robustness and scalability which is capable of parallelly processing hundreds of design tasks each having thousands of targets in minutes. To our knowledge, AutoESD is the first cloud platform enabling precise, automated, and high-throughput ESD across species, at any genomic locus for all manipulation types.
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spelling pubmed-92527792022-07-05 AutoESD: a web tool for automatic editing sequence design for genetic manipulation of microorganisms Yang, Yi Mao, Yufeng Wang, Ruoyu Li, Haoran Liu, Ye Cheng, Haijiao Shi, Zhenkun Wang, Yu Wang, Meng Zheng, Ping Liao, Xiaoping Ma, Hongwu Nucleic Acids Res Web Server Issue Advances in genetic manipulation and genome engineering techniques have enabled on-demand targeted deletion, insertion, and substitution of DNA sequences. One important step in these techniques is the design of editing sequences (e.g. primers, homologous arms) to precisely target and manipulate DNA sequences of interest. Experimental biologists can employ multiple tools in a stepwise manner to assist editing sequence design (ESD), but this requires various software involving non-standardized data exchange and input/output formats. Moreover, necessary quality control steps might be overlooked by non-expert users. This approach is low-throughput and can be error-prone, which illustrates the need for an automated ESD system. In this paper, we introduce AutoESD (https://autoesd.biodesign.ac.cn/), which designs editing sequences for all steps of genetic manipulation of many common homologous-recombination techniques based on screening-markers. Notably, multiple types of manipulations for different targets (CDS or intergenic region) can be processed in one submission. Moreover, AutoESD has an entirely cloud-based serverless architecture, offering high reliability, robustness and scalability which is capable of parallelly processing hundreds of design tasks each having thousands of targets in minutes. To our knowledge, AutoESD is the first cloud platform enabling precise, automated, and high-throughput ESD across species, at any genomic locus for all manipulation types. Oxford University Press 2022-05-26 /pmc/articles/PMC9252779/ /pubmed/35639727 http://dx.doi.org/10.1093/nar/gkac417 Text en © The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Web Server Issue
Yang, Yi
Mao, Yufeng
Wang, Ruoyu
Li, Haoran
Liu, Ye
Cheng, Haijiao
Shi, Zhenkun
Wang, Yu
Wang, Meng
Zheng, Ping
Liao, Xiaoping
Ma, Hongwu
AutoESD: a web tool for automatic editing sequence design for genetic manipulation of microorganisms
title AutoESD: a web tool for automatic editing sequence design for genetic manipulation of microorganisms
title_full AutoESD: a web tool for automatic editing sequence design for genetic manipulation of microorganisms
title_fullStr AutoESD: a web tool for automatic editing sequence design for genetic manipulation of microorganisms
title_full_unstemmed AutoESD: a web tool for automatic editing sequence design for genetic manipulation of microorganisms
title_short AutoESD: a web tool for automatic editing sequence design for genetic manipulation of microorganisms
title_sort autoesd: a web tool for automatic editing sequence design for genetic manipulation of microorganisms
topic Web Server Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9252779/
https://www.ncbi.nlm.nih.gov/pubmed/35639727
http://dx.doi.org/10.1093/nar/gkac417
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