1. Academic Validation
  2. A Rapid, Functional sgRNA Screening Method for Generating Murine RET and NTRK1 Fusion Oncogenes

A Rapid, Functional sgRNA Screening Method for Generating Murine RET and NTRK1 Fusion Oncogenes

  • bioRxiv. 2023 Apr 6:2023.04.06.535912. doi: 10.1101/2023.04.06.535912.
Laura Schubert 1 Anh T Le 1 Trista K Hinz 2 Andre Navarro 1 Sarah K Nelson-Taylor 1 Raphael A Nemenoff 1 Lynn E Heasley 2 3 Robert C Doebele 1
Affiliations

Affiliations

  • 1 Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO.
  • 2 Department of Craniofacial Biology, University of Colorado Anschutz Medical Campus, Aurora, CO.
  • 3 Eastern Colorado VA Healthcare System, Rocky Mountain Regional VA Medical Center, Aurora, CO.
Abstract

CRISPR/Cas9 gene editing technology is an indispensable and powerful tool in the field of Cancer biology. To conduct successful CRISPR-based experiments, it is crucial that sgRNAs generate their designed alterations. Here, we describe a simple and efficient sgRNA screening method for validating sgRNAs that generate oncogenic gene rearrangements. We used IL3-independence in Ba/F3 cells as an assay to identify sgRNA pairs that generate fusion oncogenes involving the RET and Ntrk1 tyrosine kinases. We confirmed these rearrangements with PCR or RT-PCR as well as Sequencing. Ba/F3 cells harboring RET or Ntrk1 rearrangements acquired sensitivity to RET and Trk inhibitors, respectively. Adenoviruses encoding Cas9 and sgRNAs that catalyze the Kif5b-Ret and Trim24-Ret rearrangements were intratracheally instilled into mice and yielded lung adenocarcinomas. A cell line (TR.1) was established from a Trim24-Ret positive tumor that exhibited high in vitro sensitivity to RET-specific TKIs. Moreover, orthotopic transplantation of TR.1 cells into the left lung yielded well-defined tumors that shrank in response to LOXO-292 treatment. The method offers an efficient means to validate sgRNAs that successfully target their intended loci for the generation of novel murine oncogene-driven tumor models.

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