Single-Nucleus RNA Sequencing
Some tissues can't be dissociated into single cells without losing most of what you're trying to study. Adipocytes rupture under standard mechanical and enzymatic protocols. Mature cardiomyocytes and skeletal muscle fibers are too large for microfluidic capture. Vascular smooth muscle cells don't survive the dissociation conditions that work for softer tissues. For these tissue types, nuclei isolation isn't a workaround — it's the only viable path to single-cell resolution.
snRNA-seq also enables work on frozen archival tissue where intact cell isolation is no longer possible, and on tissues where ex vivo transcriptional stress responses from dissociation would distort the biology you're trying to measure.
This collection covers five nuclei isolation kits optimized for snRNA-seq and snATAC-seq, spanning difficult-to-dissociate tissues and a universal option for general use.
Multi Tissue Nuclei Isolation Kit — The entry-level kit for standard frozen tissue inputs across a broad range of tissue types. Starting point for labs new to snRNA-seq or running multi-tissue comparison studies.
Adipose Tissue Nuclei Isolation Kit — Adipocytes contain large lipid droplets that cause them to float and burst under standard lysis conditions. This kit uses a lipid-tolerant lysis buffer and density-based separation to recover intact nuclei from fat-rich tissue.
Muscle Nuclei Isolation Kit — Adapted for the large, multinucleated cells of skeletal and cardiac muscle that are mechanically resistant and incompatible with standard dissociation chemistries.
Blood Vessel Nuclei Isolation Kit — Designed for the mixed cell composition and ECM-dense structure of vascular tissue, covering endothelial cells, smooth muscle cells, and pericytes.
Universal Plant Nuclei Isolation Kit — Nuclei isolation from plant tissue for snRNA-seq, bypassing the cell wall challenge that makes whole-cell plant single-cell workflows impractical for most species.
All five kits are validated for 10x Genomics Chromium, BD Rhapsody, and Drop-seq workflows.
