High-Throughput Phenotyping Toolkit for Characterizing Cellular Models of Hypertrophic Cardiomyopathy In Vitro

Diogo Mosqueira1, Katarzyna Lis-Slimak1, Chris Denning1

  • 1Department of Stem Cell Biology, Centre of Biomolecular Sciences, University of Nottingham, Nottingham NG7 2RD, UK.

Methods and Protocols
|November 14, 2019
PubMed

Insights

New high-throughput protocols enable unbiased cellular analysis of hypertrophic cardiomyopathy (HCM) in vitro. These methods improve understanding of HCM progression and aid drug screening for cardiac disease modeling.

Area of Science:

  • Cardiovascular Research
  • Cell Biology
  • Biomedical Engineering

Background:

  • Hypertrophic cardiomyopathy (HCM) is a complex cardiovascular disease with diverse clinical and molecular features.
  • Existing disease models often yield contradictory results due to technical limitations.
  • There is a need for refined, unbiased tools to study HCM pathology and progression.

Purpose of the Study:

  • To present three simple, high-throughput protocols for phenotyping cellular models of HCM in vitro.
  • To minimize technical artifacts in the investigation of hypertrophic cardiomyopathy.
  • To provide accessible tools for understanding HCM and facilitating drug screening.

Main Methods:

  • Cell volume measurement by flow cytometry to assess hypertrophy.
  • High-content imaging for analyzing hypertrophic markers, multinucleation, and sarcomeric disarray.
  • Seahorse™ platform analysis for mitochondrial respiration and content.

Main Results:

  • The described protocols offer straightforward evaluation of molecular and functional HCM parameters in vitro.
  • These methods are designed for high-throughput analysis with minimized technical artifacts.
  • The protocols are applicable to various cellular models beyond HCM.

Conclusions:

  • These protocols provide essential tools for advancing the understanding of hypertrophic cardiomyopathy.
  • The methods support high-throughput drug screening for cardiac disease modeling.
  • The approaches are broadly applicable to other cellular models investigating similar biological changes.

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