Single-Nucleus RNA Sequencing from Fresh-Frozen Human Heart Tissue: Challenges and Optimization of Nuclei Isolation for the Chromium Fixed RNA Profiling (10x Genomics) v2

Single-nucleus RNA sequencing (snRNA-seq) has emerged as a critical approach for transcriptomic profiling of the human heart. Frozen heart tissue presents additional challenges: the freeze-thaw cycle disrupts cytoplasmic membranes, increases cellular debris, promotes nuclear clumping through the release of genomic DNA, and compromises nuclear integrity if isolation conditions are not tightly controlled. Cardiomyocytes in particular are large, polynucleated cells with abundant cytoplasmic content that must be efficiently cleared during lysis and washing steps to yield a clean nuclei suspension. This protocol describes an optimized workflow for nuclei isolation from fresh-frozen human heart tissue, addressing these specific challenges through sequential filtration, DNase I treatment to dissolve DNA-mediated aggregates, and sucrose cushion purification to separate intact nuclei from cytoplasmic debris. Isolated nuclei are subsequently fixed and processed using the GEM-X Flex Gene Expression Reagent Kits for Multiplexed Samples (User Guide CG000787, 10x Genomics), enabling cost-effective, high-quality transcriptomicprofiling of the human heart across multiple samples in a single GEM reaction.

Authors

Institutions

Publication Details

Published
2026-10-29
DOI
https://doi.org/10.17504/protocols.io.n92ld4oz7l5b/v2
Primary Topic
Single-cell and spatial transcriptomics
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
preprint

Single-Nucleus RNA Sequencing from Fresh-Frozen Human Heart Tissue: Challenges and Optimization of Nuclei Isolation for the Chromium Fixed RNA Profiling (10x Genomics) v2

Lorena Rosas, Natalia-Del Pilar Vanegas, Victor Peters, Ana Lucia Mora et al.
Single-cell and spatial transcriptomics
preprint

Single-Nucleus RNA Sequencing from Fresh-Frozen Human Heart Tissue: Challenges and Optimization of Nuclei Isolation for the Chromium Fixed RNA Profiling (10x Genomics) v2

Lorena Rosas, Natalia-Del Pilar Vanegas, Victor Peters, Ana Lucia Mora, Mauricio M. Rojas, Carmen E. Badell-Kestler, Tamer Sleik
preprint en

Abstract

Single-nucleus RNA sequencing (snRNA-seq) has emerged as a critical approach for transcriptomic profiling of the human heart. Frozen heart tissue presents additional challenges: the freeze-thaw cycle disrupts cytoplasmic membranes, increases cellular debris, promotes nuclear clumping through the release of genomic DNA, and compromises nuclear integrity if isolation conditions are not tightly controlled. Cardiomyocytes in particular are large, polynucleated cells with abundant cytoplasmic content that must be efficiently cleared during lysis and washing steps to yield a clean nuclei suspension. This protocol describes an optimized workflow for nuclei isolation from fresh-frozen human heart tissue, addressing these specific challenges through sequential filtration, DNase I treatment to dissolve DNA-mediated aggregates, and sucrose cushion purification to separate intact nuclei from cytoplasmic debris. Isolated nuclei are subsequently fixed and processed using the GEM-X Flex Gene Expression Reagent Kits for Multiplexed Samples (User Guide CG000787, 10x Genomics), enabling cost-effective, high-quality transcriptomicprofiling of the human heart across multiple samples in a single GEM reaction.

The Ohio State University Wexner Medical Center (US), The Ohio State University (US)
Single-cell and spatial transcriptomics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon