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A refined Uni-vector prime editing system improves genome editing outcomes in mammalian cells. | LitMetric

AI Article Synopsis

  • Prime editing is an advanced CRISPR technology facing challenges with efficiency and precision due to its original multi-vector method.
  • To address these issues, researchers developed a Uni-vector prime editing system using all-in-one plasmids, which enhances editing efficiency and facilitates the creation of homozygous mutations in mammalian cells.
  • The Uni-vector system achieved a remarkable editing rate of about 79%, significantly improving outcomes in traditionally hard-to-transfect cell lines and yielding high rates of homozygous mutations.

Article Abstract

Prime editing is an advanced technology in CRISPR/Cas research with increasing numbers of improved methodologies. The original multi-vector method hampers the efficiency and precision of prime editing and also has inherent difficulty in generating homozygous mutations in mammalian cells. To overcome these technical issues, we developed a Uni-vector prime editing system, wherein the major components for prime editing were constructed in all-in-one plasmids, pPE3-pPuro and pePEmax-pPuro. The Uni-vector prime editing plasmids enhance the editing efficiency of prime editing and improved the generation of homozygous mutated mammalian cell lines. The editing efficiency is dependent of the transfection efficiency. Remarkably, the Uni-vector ePE5max system achieved an impressive editing rate approximately 79% in average, even in cell lines that are traditionally difficult to transfect, such as FaDu cell line. Furthermore, it resulted in a high frequency of homozygous knocked-in cells, with a rate of 99% in HeLa and 85% in FaDu cells. Together, our Uni-vector approach simplifies the delivery of editing components and improves the editing efficiency, especially in cells with low transfection efficiency. This approach presents an advancement in the field of prime editing.

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Source
http://dx.doi.org/10.1002/biot.202300353DOI Listing

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