Multiplexed measurement of cell type-specific calcium kinetics using high-content image analysis combined with

Tomoka Tabata1, Yuki Masumura1, Shuichiro Higo2

  • 1Department of Cardiovascular Medicine, Osaka University Graduate School of Medicine, Suita, Osaka, 565-0871, Japan.

Insights

This study introduces a new CRISPR/Cas9 and high-content image analysis method to track individual cardiomyocyte calcium kinetics. This approach rapidly determines the pathogenicity of genetic mutations linked to dilated cardiomyopathy (DCM).

Area of Science:

  • Cardiovascular Biology
  • Molecular Cardiology
  • Genetic Disease Mechanisms

Background:

  • Assessing genetic mutation pathogenicity in dilated cardiomyopathy (DCM) often relies on cardiomyocyte calcium (Ca2+) kinetics.
  • Conventional methods analyze whole cell populations, obscuring individual cell behavior and introducing bias due to cellular heterogeneity.

Purpose of the Study:

  • To develop a novel analytical method combining CRISPR/Cas9 genome editing and high-content image analysis (HCIA).
  • To enable simultaneous, cell-by-cell measurement of Ca2+ kinetics and immunofluorescence in thousands of cardiomyocytes.
  • To rapidly determine the pathogenicity of genetic mutations in DCM.

Main Methods:

  • Utilized CRISPR/Cas9 genome editing and HCIA to link Ca2+ kinetics with immunofluorescence imaging in cultured mouse cardiomyocytes.
  • Introduced specific genetic modifications, including Serca2a depletion and a patient-derived PKD1 frameshift mutation.
  • Analyzed Ca2+ kinetics and protein expression at the single-cell level in mixed cultures.

Main Results:

  • Identified prolonged action potential duration in Serca2a-depleted ventricular cardiomyocytes.
  • Demonstrated that a PKD1 mutation decreases PC1 protein expression, which co-localizes with Serca2a and calcium channels.
  • Observed suppressed Ca2+ amplitude in ventricular cardiomyocytes with reduced PC1 expression.

Conclusions:

  • The developed HCIA method provides comprehensive kinetic and static data for individual cardiomyocytes.
  • This technique allows for rapid and accurate determination of the pathogenicity of genetic mutations associated with DCM.
  • Facilitates a deeper understanding of cellular mechanisms underlying cardiovascular diseases.

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