Citation

  • Authors: Liesche, C., Venkatraman, L., Aschenbrenner, S., Grosse, S., Grimm, D., Eils, R., Beaudouin, J.
  • Year: 2016
  • Journal: BMC Biotechnol 16 17
  • Applications: in vitro / DNA / PEIpro
  • Cell type: HEK-293T
    Description: Human embryonic kidney Fibroblast
    Known as: HEK293T, 293T

Method

HEK-293T cells were transfected using PEIpro. 4.5 million cells were plated in a 15 cm dish and transfected the next day with 12 µg plasmid and washed 24h later. Supernatant was collected 48h after washing.

Abstract

BACKGROUND: The CRISPR/Cas9 genome editing system has greatly facilitated and expanded our capacity to engineer mammalian genomes, including targeted gene knock-outs. However, the phenotyping of the knock-out effect requires a high DNA editing efficiency. RESULTS: Here, we report a user-friendly strategy based on the extrinsic apoptosis pathway that allows enrichment of a polyclonal gene-edited cell population, by selecting Cas9-transfected cells that co-express dominant-negative mutants of death receptors. The extrinsic apoptosis pathway can be triggered in many mammalian cell types, and ligands are easy to produce, do not require purification and kill much faster than the state-of-the-art selection drug puromycin. Stringent assessment of our advanced selection strategy via Sanger sequencing, T7 endonuclease I (T7E1) assay and direct phenotyping confirmed a strong and rapid enrichment of Cas9-expressing cell populations, in some cases reaching up to 100 % within one hour. Notably, the efficiency of target DNA cleavage in these enriched cells reached high levels that exceeded the reliable range of the T7E1 assay, a conclusion that can be generalized for editing efficiencies above 30 %. Moreover, our data emphasize that the insertion and deletion pattern induced by a specific gRNA is reproducible across different cell lines. CONCLUSIONS: The workflow and the findings reported here should streamline a wide array of future low- or high-throughput gene knock-out screens, and should largely improve data interpretation from CRISPR experiments.

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