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Updated: May 15, 2025

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Nuclei Isolation from Fresh Frozen Brain Tumors for Single-Nucleus RNA-seq and ATAC-seq
Published on: August 25, 2020
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Comparative analysis of nuclei isolation methods for brain single-nucleus RNA sequencing.
Holly N Kersey1,2,3, Dominic J Acri1,2,3, Luke C Dabin2,4,3
1Medical Neurosciences Graduate Program, Indiana University School of Medicine, Indianapolis, IN, USA.
Biorxiv : the Preprint Server for Biology
|April 8, 2025
Summary
Choosing the right nuclei isolation method is crucial for high-quality single-nucleus RNA sequencing (snRNA-seq) data. Our study compared three methods, revealing significant protocol-dependent differences in data quality and biological interpretation for brain tissues.
Area of Science:
- Molecular Biology
- Neuroscience
- Genomics
Background:
- Single-nucleus RNA sequencing (snRNA-seq) is vital for studying complex tissues, but its success hinges on nuclear isolation methods.
- Existing techniques for isolating nuclei vary in preserving nuclear integrity and minimizing contamination, with a lack of systematic comparison for brain tissue.
Purpose of the Study:
- To systematically evaluate and compare three distinct nuclei isolation methods for snRNA-seq.
- To assess the impact of different isolation strategies on nuclear integrity, RNA yield, purity, and downstream data quality.
- To guide researchers in selecting optimal protocols for brain tissue snRNA-seq experiments.
Main Methods:
- Comparison of three mechanistically distinct nuclei isolation strategies: sucrose gradient centrifugation, spin column-based method, and a machine-assisted platform.
- Evaluation of nuclei isolation methods using brain tissues.
- Assessment of cell type proportions, transcriptional homogeneity, marker preservation, and RNA contamination levels.
Main Results:
- All tested methods successfully captured diverse cell types in brain tissue.
- Significant protocol-dependent differences were observed in cell type proportions and transcriptional homogeneity.
- Isolation workflows differentially impacted the preservation of cell-type-specific markers and contamination levels (ambient, mitochondrial, ribosomal RNA).
Conclusions:
- Nuclei isolation methodology is a critical experimental variable that profoundly influences snRNA-seq data quality.
- The choice of isolation method significantly shapes biological interpretation of snRNA-seq data.
- This study provides crucial insights for optimizing snRNA-seq protocols in brain research.

