CRISPRepi: a multi-omic atlas for CRISPR-based epigenome editing

IF 16.6 2区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Nucleic Acids Research Pub Date : 2024-11-12 DOI:10.1093/nar/gkae1039
Leisheng Shi, Shasha Li, Rongyi Zhu, Chenyang Lu, Xintian Xu, Changzhi Li, Xinyue Huang, Xiaolu Zhao, Fengbiao Mao, Kailong Li
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Abstract

CRISPR-based epigenome editing integrates the precision of CRISPR with the capability of epigenetic mark rewriting, offering a tunable and reversible gene regulation strategy without altering the DNA sequences. Various epigenome editing systems have been developed and applied in different organisms and cell types; however, the detailed information is discrete, making it challenging to evaluate the precision of different editing systems and design the optimal sgRNAs for further functional studies. Herein, we developed CRISPRepi (http://crisprepi.maolab.org/ or http://crisprepi.lilab-pkuhsc.org/), a pioneering platform that consolidates extensive sequencing data from 671 meticulously curated RNA-seq, ChIP-seq, Bisulfite-seq and ATAC-seq datasets in 87 cell types manipulated by 74 epigenome editing systems. In total, we have curated 5962 sgRNAs associated with 283 target genes from 2277 samples across six species. CRISPRepi incorporates tools for analyzing editing outcomes and assessing off-target effects by analyzing gene expression changes pre- and post-editing, along with the details of multi-omic epigenetic landscapes. Moreover, CRISPRepi supports the investigation of editing potentials for newly designed sgRNA sequences in a cell/tissue-specific context. By providing a user-friendly interface for searching and selecting optimal editing designs across multiple organisms, CRISPRepi serves as an integrated resource for researchers to evaluate editing efficiency and off-target effects among diverse CRISPR-based epigenome editing systems.
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CRISPRepi:基于 CRISPR 的表观基因组编辑的多组图谱
基于CRISPR的表观基因组编辑整合了CRISPR的精确性和表观遗传标记重写的能力,在不改变DNA序列的情况下提供了一种可调且可逆的基因调控策略。各种表观基因组编辑系统已被开发出来并应用于不同的生物和细胞类型;然而,详细的信息是不连续的,这使得评估不同编辑系统的精确性和为进一步的功能研究设计最佳的sgRNA具有挑战性。在此,我们开发了 CRISPRepi(http://crisprepi.maolab.org/ 或 http://crisprepi.lilab-pkuhsc.org/),这是一个开创性的平台,它整合了来自 671 个精心策划的 RNA-seq、ChIP-seq、Bisulfite-seq 和 ATAC-seq 数据集的大量测序数据,这些数据集由 74 种表观基因组编辑系统对 87 种细胞类型进行了操作。我们总共从 6 个物种的 2277 个样本中筛选出了与 283 个目标基因相关的 5962 个 sgRNA。CRISPRepi 通过分析编辑前后的基因表达变化以及多组表观遗传景观的细节,整合了分析编辑结果和评估脱靶效应的工具。此外,CRISPRepi 还支持在细胞/组织特异性背景下研究新设计的 sgRNA 序列的编辑潜力。CRISPRepi 提供了一个用户友好界面,用于搜索和选择多个生物体的最佳编辑设计,是研究人员评估基于 CRISPR 的各种表观遗传组编辑系统的编辑效率和脱靶效应的综合资源。
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来源期刊
Nucleic Acids Research
Nucleic Acids Research 生物-生化与分子生物学
CiteScore
27.10
自引率
4.70%
发文量
1057
审稿时长
2 months
期刊介绍: Nucleic Acids Research (NAR) is a scientific journal that publishes research on various aspects of nucleic acids and proteins involved in nucleic acid metabolism and interactions. It covers areas such as chemistry and synthetic biology, computational biology, gene regulation, chromatin and epigenetics, genome integrity, repair and replication, genomics, molecular biology, nucleic acid enzymes, RNA, and structural biology. The journal also includes a Survey and Summary section for brief reviews. Additionally, each year, the first issue is dedicated to biological databases, and an issue in July focuses on web-based software resources for the biological community. Nucleic Acids Research is indexed by several services including Abstracts on Hygiene and Communicable Diseases, Animal Breeding Abstracts, Agricultural Engineering Abstracts, Agbiotech News and Information, BIOSIS Previews, CAB Abstracts, and EMBASE.
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