EpiCas-DL: Predicting sgRNA activity for CRISPR-mediated epigenome editing by deep learning.

ABSTRACT: CRISPR-mediated epigenome editing enables gene expression regulation without changing the underlying DNA sequence, and thus has vast potential for basic research and gene therapy. Effective selection of a single guide RNA (sgRNA) with high on-target efficiency and specificity would facilitate the application of epigenome editing tools. Here we performed an extensive analysis of CRISPR-mediated epigenome editing tools on thousands of experimentally examined on-target sites and established EpiCas-DL, a deep learning framework to optimize sgRNA design for gene silencing or activation. EpiCas-DL achieves high accuracy in sgRNA activity prediction for targeted gene silencing or activation and outperforms other available in silico methods. In addition, EpiCas-DL also

SUBMITTER: Yang Q 

PROVIDER: S-EPMC9763632 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature