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SMARCB1 missense mutants disrupt SWI/SNF complex stability and remodeling activity
Garrett W Cooper1,2, Benjamin P Lee1,2, Won Jun Kim3,4
1Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, USA.
Research Square
|April 8, 2025
Summary
Deep mutational scanning of SMARCB1 reveals missense mutations that impair tumor suppressor function, challenging current cancer diagnostics. These mutations disrupt chromatin remodeling similarly to complete gene inactivation.
Area of Science:
- Molecular Biology
- Cancer Genomics
- Epigenetics
Background:
- The SWI/SNCH complex is crucial for gene regulation via chromatin remodeling.
- SMARCB1 is an essential core subunit of the SWI/SNF complex.
- Biallelic SMARCB1 inactivation drives aggressive pediatric cancers, but missense mutation effects are unclear.
Purpose of the Study:
- To comprehensively assess the functional impact of SMARCB1 missense mutations using deep mutational scanning.
- To understand the molecular mechanisms by which SMARCB1 mutations affect tumor suppressor function.
- To evaluate the limitations of current diagnostic methods based on protein expression.
Main Methods:
- Performed deep mutational scanning (DMS) on 8,418 SMARCB1 amino acid substitutions.
- Assessed the functional impact of mutations on chromatin remodeling and transcriptional regulation.
- Analyzed mutation effects on SWI/SNF complex stability and winged-helix domain flexibility.
Main Results:
- Identified missense mutations in the RPT2 domain that destabilize the SWI/SNF complex.
- Demonstrated that some missense mutations impair chromatin remodeling and gene regulation as severely as nonsense mutations.
- Showed these functionally disruptive mutations can maintain detectable SMARCB1 protein expression.
Conclusions:
- SMARCB1 missense mutations, particularly in the RPT2 domain, can inactivate tumor suppressor functions.
- Current diagnostic reliance on immunohistochemistry (IHC) for SMARCB1 may miss functionally significant mutations.
- This study provides a functional framework for understanding the SMARCB1 mutational landscape in cancer.
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