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Updated: Apr 20, 2026

Genome Editing in Mammalian Cell Lines using CRISPR-Cas
Published on: April 11, 2019
Advances in genome editing technology and its promising application in evolutionary and ecological studies
Lei Chen1, Linyi Tang2, Hui Xiang1
1State Key Laboratory of Genetic Resources and Evolution, Kunming Institute of Zoology, Chinese Academy of Sciences and University of Chinese Academy of Sciences, No. 32 Jiaochang Donglu, Kunming, Yunnan 650223, China.
Abstract:
Genetic modification has long provided an approach for "reverse genetics", analyzing gene function and linking DNA sequence to phenotype. However, traditional genome editing technologies have not kept pace with the soaring progress of the genome sequencing era, as a result of their inefficiency, time-consuming and labor-intensive methods. Recently, invented genome modification technologies, such as ZFN (Zinc Finger Nuclease), TALEN (Transcription Activator-Like Effector Nuclease), and CRISPR/Cas9 nuclease (Clustered Regularly Interspaced Short Palindromic Repeats/Cas9 nuclease) can initiate genome editing easily, precisely and with no limitations by organism. These new tools have also offered intriguing possibilities for conducting functional large-scale experiments. In this review, we begin with a brief introduction of ZFN, TALEN, and CRISPR/Cas9 technologies, then generate an extensive prediction of effective TALEN and CRISPR/Cas9 target sites in the genomes of a broad range of taxonomic species. Based on the evidence, we highlight the potential and practicalities of TALEN and CRISPR/Cas9 editing in non-model organisms, and also compare the technologies and test interesting issues such as the functions of candidate domesticated, as well as candidate genes in life-environment interactions. When accompanied with a high-throughput sequencing platform, we forecast their potential revolutionary impacts on evolutionary and ecological research, which may offer an exciting prospect for connecting the gap between DNA sequence and phenotype in the near future.
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