Comparative analysis demonstrates that nuclei isolation method affects data quality in brain single-nucleus RNA sequencing, implying improved consistency with machine-assisted approaches.
In briefKersey et al. systematically evaluate three nuclei isolation methods for brain snRNAseq, demonstrating that protocol choice markedly affects data quality metrics, including nuclei yield and ambient RNA contamination levels, as well as cell type proportions.Notably, a machine-assisted approach minimizes technical variability, providing consistent transcriptional signatures across glial and neuronal populations.
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Kersey et al. (2026) studied this question.
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