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Updated: Oct 1, 2025

Investigating the Pathogenesis of MYH7 Mutation Gly823Glu in Familial Hypertrophic Cardiomyopathy using a Mouse Model
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Investigating the Pathogenesis of MYH7 Mutation Gly823Glu in Familial Hypertrophic Cardiomyopathy using a Mouse Model

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LIM domain-wide comprehensive virtual mutagenesis provides structural rationale for cardiomyopathy mutations in CSRP3

Pankaj Kumar Chauhan1, Ramanathan Sowdhamini2

  • 1National Centre for Biological Sciences (Tata Institute of Fundamental Research), GKVK Campus, Bangalore, Karnataka, 560065, India.

Scientific Reports
|March 4, 2022
PubMed

Insights

Cysteine and glycine-rich protein 3 (CSRP3) mutations can cause dilated cardiomyopathy (DCM) and hypertrophic cardiomyopathy (HCM). This study developed a computational method to map CSRP3 mutations, revealing how L44P destabilizes the protein structure, impacting cardiac health.

Area of Science:

  • Biochemistry and Molecular Biology
  • Cardiovascular Research
  • Computational Biology

Background:

  • Cardiomyopathies, including dilated (DCM) and hypertrophic (HCM) forms, represent a significant global cardiovascular health burden.
  • Cysteine and glycine-rich protein 3 (CSRP3) is a key protein linked to inherited forms of DCM and HCM.

Purpose of the Study:

  • To develop a rapid in silico screening protocol to generate a comprehensive mutational landscape map for CSRP3.
  • To gain structural and functional insights into the stability of CSRP3's LIM domains.
  • To investigate the impact of known HCM/DCM mutations on CSRP3's LIM domains.

Main Methods:

  • In silico screening protocol to create a mutational landscape map of CSRP3.
  • Sequence analysis to identify eukaryotic CSRP3 orthologs.
  • Molecular dynamics (MD) simulations for specific mutations (L44P and L44M).

Main Results:

  • The mutational map provides insights into CSRP3 LIM domain stability.
  • Sequence analysis identified CSRP3 orthologs across eukaryotes.
  • MD simulations showed the L44P mutation destabilizes the LIM domain by altering secondary structure and disrupting hydrophobic interactions.

Conclusions:

  • The study offers a novel computational method for rapid identification of critical mutation sites in protein structures.
  • Findings enhance understanding of CSRP3 mutations in LIM domains and their evolutionary implications.
  • This approach can potentially reduce the experimental workload in studying protein mutations and associated diseases.

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