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Updated: Jun 15, 2025

Engineering Oncogenic Heterozygous Gain-of-Function Mutations in Human Hematopoietic Stem and Progenitor Cells
Published on: March 10, 2023
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.
Abstract:
SF3B1 is the most recurrently mutated RNA splicing gene in cancer. However, research of its pathogenic role has been hindered by a lack of disease-relevant cell line models. Here, our study compared four genome engineering platforms to establish SF3B1 mutant cell lines: CRISPR-Cas9 editing, AAV homology-directed repair editing, base editing (ABEmax, ABE8e), and prime editing (PE2, PE3, PE5max). We showed that prime editing via PE5max achieved the most efficient SF3B1 K700E editing across a wide range of cell lines. Our approach was further refined by coupling prime editing with a fluorescent reporter that leverages a SF3B1 mutation-responsive synthetic intron to mark successfully edited cells. By applying this approach, called prime editing coupled intron-assisted selection (PRECIS), we introduced the K700E hotspot mutation into two chronic lymphocytic leukemia cell lines, HG-3 and MEC-1. We demonstrated that our PRECIS-engineered cells faithfully recapitulate known mutant SF3B1 phenotypes, including altered splicing, copy number variations, and cell-growth defect. Moreover, we discovered that the SF3B1 mutation can cause the loss of Y chromosome in chronic lymphocytic leukemia. Our results showcase that PRECIS is an efficient and generalizable method for engineering genetically faithful SF3B1 mutant models. Our approach provides new insights on the role of SF3B1 mutation in cancer and enables the generation of SF3B1 mutant cell lines in relevant cellular context.
Significance:
This study developed an approach that can reliably and efficiently engineer SF3B1 mutation into different cellular contexts, thereby revealing novel roles of SF3B1 mutation in driving aberrant splicing, clonal evolution, and genome instability.
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.
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