CRISPR-iPAS: a novel dCAS13-based method for alternative polyadenylation interference

Author:

Tian Shuye1ORCID,Zhang Bin2,He Yuhao1,Sun Zhiyuan1,Li Jun13,Li Yisheng1,Yi Hongyang1,Zhao Yan1,Zou Xudong1,Li Yunfei1,Cui Huanhuan13,Fang Liang13ORCID,Gao Xin2ORCID,Hu Yuhui13,Chen Wei13

Affiliation:

1. Shenzhen Key Laboratory of Gene Regulation and Systems Biology, Department of Biology, School of Life Sciences, Southern University of Science and Technology, Shenzhen 518055, China

2. Computational Bioscience Research Center (CBRC), Computer, Electrical and Mathematical Sciences and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia

3. Academy for Advanced Interdisciplinary Studies, Southern University of Science and Technology, Shenzhen 518055, China

Abstract

Abstract Alternative polyadenylation (APA) plays an important role in gene regulation. With the recent application of novel sequencing technology in APA profiling, an ever-increasing number of APA genes/sites have been identified. However, the phenotypic relevance of most of these APA isoforms remains elusive, which is largely due to the lack of a convenient genetics tool for APA interference. To address this issue, herein, an efficient method is developed based on the CRISPR-dCas13 system, termed as CRISPR-iPAS. Out of eight different dCas13 proteins, Porphyromonas gulae (Pgu) dCas13b, is identified as the most effective one in blocking the usage of the polyadenylation site (PAS). With guide RNAs targeting at core regulatory elements, dPguCas13b enabled APA regulation of endogenous genes with different APA types, including tandem 3′UTR, alternative terminal exon, as well as intronic PAS. Finally, we demonstrated that the proposed APA perturbation tool could be used to investigate the functional relevance of APA isoforms.

Funder

Shenzhen Key Laboratory of Gene Regulation and Systems Biology

Shenzhen-Hong Kong Institute of Brain Science-Shenzhen Fundamental Research Institutions

National Natural Science Foundation of China

Shenzhen Science and Technology Program

King Abdullah University of Science and Technology

Publisher

Oxford University Press (OUP)

Subject

Genetics

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