Abstract

Abstract Based on engineered or bacterial nucleases, the development of genome editing technologies has opened up the possibility of directly targeting and modifying genomic sequences in almost all eukaryotic cells. Genome editing has extended our ability to elucidate the contribution of genetics to disease by promoting the creation of more accurate cellular and animal models of pathological processes and has begun to show extraordinary potential in a variety of fields, ranging from basic research to applied biotechnology and biomedical research. Recent progress in developing programmable nucleases, such as zinc-finger nucleases (ZFNs), transcription activator-like effector nucleases (TALENs) and clustered regularly interspaced short palindromic repeat (CRISPR)–Cas-associated nucleases, has greatly expedited the progress of gene editing from concept to clinical practice. Here, we review recent advances of the three major genome editing technologies (ZFNs, TALENs, and CRISPR/Cas9) and discuss the applications of their derivative reagents as gene editing tools in various human diseases and potential future therapies, focusing on eukaryotic cells and animal models. Finally, we provide an overview of the clinical trials applying genome editing platforms for disease treatment and some of the challenges in the implementation of this technology.

Keywords

Transcription activator-like effector nucleaseGenome editingZinc finger nucleaseCRISPRComputational biologyGenome engineeringBiologyCas9GenomeGeneticsGene

MeSH Terms

CRISPR-Cas SystemsGene EditingGenetic DiseasesInbornGenomeHumanHumansMolecular Targeted Therapy

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Publication Info

Year
2020
Type
review
Volume
5
Issue
1
Pages
1-1
Citations
1600
Access
Closed

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Cite This

Hongyi Li, Yang Yang, Weiqi Hong et al. (2020). Applications of genome editing technology in the targeted therapy of human diseases: mechanisms, advances and prospects. Signal Transduction and Targeted Therapy , 5 (1) , 1-1. https://doi.org/10.1038/s41392-019-0089-y

Identifiers

DOI
10.1038/s41392-019-0089-y
PMID
32296011
PMCID
PMC6946647

Data Quality

Data completeness: 86%