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Related Experiment Video

Updated: Dec 1, 2025

Assessing Cardiac Reprogramming using High Content Imaging Analysis
06:02

Assessing Cardiac Reprogramming using High Content Imaging Analysis

Published on: October 26, 2020

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Assessing Cardiac Reprogramming using High Content Imaging Analysis.

Zhentao Zhang1, Young-Jae Nam2

  • 1Department of Medicine, Division of Cardiovascular Medicine, Vanderbilt University Medical Center; Department of Cell and Developmental Biology, Vanderbilt University; Vanderbilt Center for Stem Cell Biology, Vanderbilt University.

Journal of Visualized Experiments : Jove
|November 9, 2020
PubMed
Summary
This summary is machine-generated.

This protocol details a new method for quantifying induced cardiomyocyte-like cells (iCMs) generated through direct cardiac reprogramming. Automated high-content imaging streamlines the assessment of iCM quantity and quality in a single experiment.

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Area of Science:

  • Stem Cell Biology
  • Cardiovascular Research
  • Cellular Reprogramming

Background:

  • Direct cardiac reprogramming converts fibroblasts to cardiomyocyte-like cells (iCMs) using transcription factors.
  • Current methods for assessing reprogramming efficiency often require multiple experiments and lack simultaneous quantification and visualization.
  • The low efficiency of fibroblast to iCM conversion necessitates improved assessment techniques.

Purpose of the Study:

  • To describe a novel protocol for quantifying induced cardiomyocyte-like cells (iCMs) generated via direct reprogramming.
  • To introduce automated high-content imaging analysis as a method for assessing both quantity and quality of iCMs.
  • To facilitate large-scale screening of factors that enhance cardiac reprogramming efficiency.

Main Methods:

  • Direct reprogramming of fibroblasts into iCMs using core cardiogenic transcription factors.
  • Application of automated high-content imaging analysis for cell quantification and qualification.
  • Comparison with traditional methods like flow cytometry and immunocytochemistry.

Main Results:

  • Automated high-content imaging provides simultaneous quantification and qualification of iCMs.
  • This method allows for efficient assessment using a smaller cell number compared to traditional techniques.
  • The protocol enables direct evaluation of iCM reprogramming success in a single experiment.

Conclusions:

  • Automated high-content imaging analysis offers a streamlined and efficient approach to assess cardiac reprogramming.
  • This technique can significantly accelerate future research, including genetic and pharmacological screens for improving reprogramming efficiency.
  • The protocol's applicability extends beyond cardiac reprogramming to other cell lineages and immunostaining experiments.