Engineering Oncogenic Hotspot Mutations on SF3B1 via CRISPR-Directed PRECIS Mutagenesis

Mike M Fernandez1,2, Lei Yu3, Qiong Jia3

  • 1Department of Systems Biology, Beckman Research Institute, City of Hope National Comprehensive Cancer Center, Monrovia, California.

PubMed

Insights

This study introduces PRECIS, an efficient method for creating SF3B1 mutant cell lines. PRECIS engineering reveals new roles for SF3B1 mutations in cancer, including Y chromosome loss in leukemia.

Area of Science:

  • Cancer genomics and molecular biology
  • Gene editing technologies
  • RNA splicing mechanisms

Background:

  • SF3B1 mutations are common in cancer but studying their role is limited by a lack of disease models.
  • Existing genome engineering platforms have limitations in efficiency and applicability for creating specific mutations like SF3B1 K700E.

Purpose of the Study:

  • To develop and validate an efficient genome engineering approach for creating SF3B1 mutant cell lines.
  • To investigate the functional consequences of SF3B1 mutations in relevant cancer contexts, such as chronic lymphocytic leukemia.

Main Methods:

  • Comparison of CRISPR-Cas9, AAV-HDR, base editing, and prime editing platforms for SF3B1 K700E mutation introduction.
  • Development of a novel method, prime editing coupled intron-assisted selection (PRECIS), combining prime editing with a reporter system.
  • Application of PRECIS to engineer SF3B1 K700E mutations in chronic lymphocytic leukemia cell lines (HG-3, MEC-1).

Main Results:

  • Prime editing, specifically PE5max, demonstrated the highest efficiency for SF3B1 K700E editing across various cell types.
  • PRECIS successfully generated SF3B1 K700E mutant cell lines that recapitulate known phenotypes: altered splicing, copy number variations, and growth defects.
  • A novel finding revealed that SF3B1 mutations can lead to Y chromosome loss in chronic lymphocytic leukemia.

Conclusions:

  • PRECIS is an efficient and versatile method for generating genetically accurate SF3B1 mutant models.
  • The engineered models provide valuable tools for understanding SF3B1 mutation roles in cancer.
  • This research offers new insights into SF3B1's role in cancer pathogenesis, including genome instability and Y chromosome loss.