4.8 Article

A novel all-in-one conditional knockout system uncovered an essential role of DDX1 in ribosomal RNA processing

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NUCLEIC ACIDS RESEARCH
卷 49, 期 7, 页码 -

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OXFORD UNIV PRESS
DOI: 10.1093/nar/gkaa1296

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资金

  1. Japan Society for the Promotion of Science (JSPS) KAKENHI [JP18K06047, JP23390256]
  2. Core Research for Evolutionary Science and Technology (CREST) program of the Japanese Science and Technology Agency (JST) [JPMJCR18S4]
  3. CREST program of the JST [JP-MJCR18S4]

向作者/读者索取更多资源

An all-in-one cKO system was established for efficient generation of cKO cells and simultaneous gene modifications, successfully applied to mouse ESCs to demonstrate the effects of Ddx1 loss on rRNA processing defects.
Generation of conditional knockout (cKO) and various gene-modified cells is laborious and time-consuming. Here, we established an all-in-one cKO system, which enables highly efficient generation of cKO cells and simultaneous gene modifications, including epitope tagging and reporter gene knock-in. We applied this system to mouse embryonic stem cells (ESCs) and generated RNA helicase Ddx1 cKO ESCs. The targeted cells displayed endogenous promoter-driven EGFP and FLAG-tagged DDX1 expression, and they were converted to Ddx1 KO via FLP recombinase. We further established TetFE ESCs, which carried a reverse tetracycline transactivator (rtTA) expression cassette and a tetracycline response element (TRE)-regulated FLPERT2 cassette in the Gt(ROSA26)Sor locus for instant and tightly regulated induction of gene KO. By utilizing TetFE Ddx1(F/F) ESCs, we isolated highly pure Ddx1(F/F) and Ddx1(-/-) ESCs and found that loss of Ddx1 caused rRNA processing defects, thereby activating the ribosome stress-p53 pathway. We also demonstrated cKO of various genes in ESCs and homologous recombination-non-proficient human HT1080 cells. The frequency of cKO clones was remarkably high for both cell types and reached up to 96% when EGFP-positive clones were analyzed. This all-in-one cKO system will be a powerful tool for rapid and precise analyses of gene functions.

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