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Author Spotlight: Nuclei Isolation from Mouse Cardiac Progenitor Cells for Epigenome and Gene Expression Profiling at Single-Cell Resolution
Published on: May 12, 2023
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High-quality nuclei isolation from postmortem human heart muscle tissues for single-cell studies
Sarah Araten1, Ronald Mathieu2, Anushka Jetly3
1Division of Genetics and Genomics, Department of Pediatrics, Boston Children's Hospital, Boston, MA, USA.
Journal of Molecular and Cellular Cardiology
|March 28, 2023
Summary
This study presents a new method (SoNIC) for isolating single cardiomyocyte nuclei from postmortem heart tissue. This technique enables high-quality DNA and RNA analysis for multi-omic studies of heart disease.
Area of Science:
- Genomics
- Molecular Biology
- Cardiovascular Science
Background:
- Single-cell analysis is crucial for understanding disease genetics.
- Analyzing DNA and RNA from human tissues is essential for multi-omic datasets.
- Postmortem tissues offer a valuable resource for studying disease mechanisms.
Purpose of the Study:
- To develop and validate a method for isolating high-quality single nuclei from postmortem human cardiac tissue.
- To enable multi-omic analysis (DNA and RNA) at the single-cell level.
- To establish quality control measures for single-nucleus genomics.
Main Methods:
- Isolation of single nuclei from postmortem human heart tissues using the SoNIC (Single-Nuclei Isolation from Cardiac) method.
- DNA and RNA extraction using the Qiagen EZ1 instrument and kit.
- Quality control for single-nucleus whole genome amplification and pre-amplification.
Main Results:
- High-yield, high-quality genomic DNA was consistently isolated from postmortem heart tissues.
- The SoNIC method successfully isolated single cardiomyocyte nuclei based on ploidy.
- Established robust quality control measures for subsequent genomic analysis.
Conclusions:
- The SoNIC method provides a reliable approach for single-nucleus isolation from cardiac tissue.
- This method facilitates high-quality multi-omic analysis of heart disease at the single-cell level.
- The developed quality control protocols ensure the integrity of genomic data from single nuclei.

