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Updated: Jun 12, 2025

Author Spotlight: Nuclei Isolation from Mouse Cardiac Progenitor Cells for Epigenome and Gene Expression Profiling at Single-Cell Resolution
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Decoding human cardiovascular development and disease through single-cell transcriptomic and epigenomic profiling.

Logan Dunkenberger1, Daniel Y Li2, Ioannis Karakikes1

  • 1Department of Cardiothoracic Surgery, Stanford University School of Medicine, 300 Pasteur Drive, Stanford, CA, USA; Cardiovascular Institute, Stanford University School of Medicine, 300 Pasteur Drive, Stanford, CA, USA.

Trends in Cell Biology
|June 10, 2025
PubMed
Summary
This summary is machine-generated.

Advancements in single-cell technologies and multiomic data integration reveal new insights into heart development and disease. These methods characterize cellular states and gene regulatory networks (GRNs) crucial for cardiac biology.

Keywords:
cardiovascularcell statecongenital heart diseasecoronary artery diseaseepigenomicssingle celltranscriptomics

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Area of Science:

  • Molecular Biology
  • Genomics
  • Cardiovascular Biology

Background:

  • Single-cell technologies have revolutionized understanding of cellular heterogeneity.
  • Transcriptomic and epigenomic data integration deepens insights into gene regulatory networks (GRNs).

Purpose of the Study:

  • To review methodological innovations in single-cell and multiomic analyses.
  • To discuss computational strategies for integrating multiomic data.
  • To highlight advances in understanding heart development and disease.

Main Methods:

  • Microfluidics and microscale molecular biology for single-cell analysis.
  • Next-generation sequencing for whole transcriptomic datasets.
  • Computational integration of transcriptomic and epigenomic data.

Main Results:

  • Discovery of new cell types and characterization of cell transition states.
  • Elucidation of developmental trajectories and molecular mechanisms in the heart.
  • Insights into the pathogenesis of genetic cardiac diseases.

Conclusions:

  • Multiomic data integration significantly enhances understanding of cardiac cell lineages and disease.
  • Methodological and computational advances are reshaping cardiac biology research.
  • This review provides a comprehensive overview of current trends and future directions.