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Functional Assessment of BRCA1 variants using CRISPR-Mediated Base Editors
Published on: February 28, 2021
A base editing platform for the correction of cancer driver mutations unmasks conserved p53 transcription programs
Pascal Wang1, Rituparno Sen1, Frank Buchholz2,3,4
1Medical Systems Biology, Faculty of Medicine Carl Gustav Carus, TU Dresden, Dresden, Germany.
Background:
Understanding the role of cancer hotspot mutations is essential for unraveling mechanisms of tumorigenesis and identifying therapeutic vulnerabilities. Correcting cancer mutations with base editing is a novel, yet promising approach for investigating the biology of driver mutations.
Results:
Here, we present a versatile platform to investigate the functional impact of cancer hotspot mutations through adenine base editing in combination with transcriptomic profiling. Using this approach, we correct TP53 hotspot mutations in cancer cell lines derived from diverse tissues, followed by mRNA sequencing to evaluate transcriptional changes. Remarkably, correcting these mutations not only reveals the dependency on mutant allele expression but also restores highly conserved tumor-suppressive transcriptional programs, irrespective of tissue origin or co-occurring mutations, highlighting a shared p53-dependent regulatory network. Our findings demonstrate the utility of this base editing platform to systematically interrogate the functional consequences of cancer-associated mutations and their downstream effects on gene expression.
Conclusions:
This work establishes a robust framework for studying the transcriptional dynamics of cancer hotspot mutations and sheds light on the conserved biological processes reinstated by p53 correction, offering potential avenues for future targeted therapies.
Insights
Base editing corrects cancer hotspot mutations, revealing shared p53-dependent programs that suppress tumors. This approach uncovers dependencies on mutant allele expression and offers new therapeutic strategies.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- Cancer hotspot mutations drive tumorigenesis and present therapeutic targets.
- Base editing offers a novel method to investigate driver mutation biology.
Purpose of the Study:
- To develop a versatile platform for investigating cancer hotspot mutations using adenine base editing.
- To analyze the functional impact and transcriptional consequences of correcting TP53 hotspot mutations.
Main Methods:
- Utilized adenine base editing to correct TP53 hotspot mutations in cancer cell lines.
- Employed transcriptomic profiling (mRNA sequencing) to assess transcriptional changes post-correction.
- Investigated the impact of mutation correction across diverse tissue origins and co-occurring mutations.
Main Results:
- Demonstrated that correcting TP53 mutations restores conserved tumor-suppressive transcriptional programs.
- Highlighted a shared p53-dependent regulatory network active across different cancer types.
- Revealed dependencies on mutant allele expression for tumor cell function.
Conclusions:
- Established a robust framework for studying cancer mutation transcriptional dynamics.
- Showcased the restoration of conserved biological processes through p53 correction.
- Indicated potential for future targeted therapies based on p53 reactivation.
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