Optimized nuclei isolation and snRNA-seq reveal oligodendrocyte pathway dysregulation in MOGHE brain tissue from pediatric patients

Single-cell RNA sequencing (scRNA-seq) is a powerful tool for exploring cellular diversity, but isolating intact cells from complex tissues like the brain remains challenging. Single-nucleus RNA sequencing (snRNA-seq) overcomes these limitations by profiling nuclear RNA from frozen or archived tissue, reducing dissociation bias. Here, we present a simplified protocol for nuclei isolation from frozen human brain biopsies optimized for high yield and minimal debris, enabling robust snRNA-seq analysis. To validate it, we applied the protocol to biopsies from two pediatric patients with mild malformation of cortical development with oligodendroglial hyperplasia and epilepsy (MOGHE) carrying somatic SLC35A2 variants. snRNA-seq of isolated nuclei revealed a marked increase in oligodendrocytes in MOGHE samples, consistent with histopathological observations. Differential gene-expression analysis of oligodendrocyte-derived nuclei showed potential dysregulation of key pathways, including NOTCH, WNT/β-catenin, SLIT/ROBO, and Rho-GTPases signaling, as well as pathways associated with oxidative stress and neuroinflammation, and impaired neuron-glia communication. Despite advances in transcriptomic chemistries allowing fixed-cell analyses, reliable and debris-free nuclei isolation remains essential for generating high-quality single-nucleus data. Our streamlined protocol offers a reproducible, adaptable approach compatible with current and emerging snRNA-seq technologies.

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Publication Details

Journal
Scientific Reports
Published
2026-05-21
DOI
https://doi.org/10.1038/s41598-026-54112-z
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00

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article

Optimized nuclei isolation and snRNA-seq reveal oligodendrocyte pathway dysregulation in MOGHE brain tissue from pediatric patients

Valerio Conti, Renzo Guerrini, Alberto Magi, Benedetta Mazzinghi et al.
Scientific Reports
Single-cell and spatial transcriptomics
article

Optimized nuclei isolation and snRNA-seq reveal oligodendrocyte pathway dysregulation in MOGHE brain tissue from pediatric patients

Valerio Conti, Renzo Guerrini, Alberto Magi, Benedetta Mazzinghi, Antonio Falace, Roberto Semeraro, Paola Romagnani, Valentina Cetica, Cristiana Pelorosso, Dalila De Vita, Clara Tuccari di San Carlo
article en

Abstract

Single-cell RNA sequencing (scRNA-seq) is a powerful tool for exploring cellular diversity, but isolating intact cells from complex tissues like the brain remains challenging. Single-nucleus RNA sequencing (snRNA-seq) overcomes these limitations by profiling nuclear RNA from frozen or archived tissue, reducing dissociation bias. Here, we present a simplified protocol for nuclei isolation from frozen human brain biopsies optimized for high yield and minimal debris, enabling robust snRNA-seq analysis. To validate it, we applied the protocol to biopsies from two pediatric patients with mild malformation of cortical development with oligodendroglial hyperplasia and epilepsy (MOGHE) carrying somatic SLC35A2 variants. snRNA-seq of isolated nuclei revealed a marked increase in oligodendrocytes in MOGHE samples, consistent with histopathological observations. Differential gene-expression analysis of oligodendrocyte-derived nuclei showed potential dysregulation of key pathways, including NOTCH, WNT/β-catenin, SLIT/ROBO, and Rho-GTPases signaling, as well as pathways associated with oxidative stress and neuroinflammation, and impaired neuron-glia communication. Despite advances in transcriptomic chemistries allowing fixed-cell analyses, reliable and debris-free nuclei isolation remains essential for generating high-quality single-nucleus data. Our streamlined protocol offers a reproducible, adaptable approach compatible with current and emerging snRNA-seq technologies.

Scientific Reports
Istituto Giannina Gaslini (IT), European Society for Sexual Medicine (IT), Meyer Children's Hospital (IT), Istituti di Ricovero e Cura a Carattere Scientifico (IT), University of Florence (IT)
Ministero della Salute, Regione Toscana, Fondazione Cassa di Risparmio di Firenze
Openalex Percentile: Top 9%
Single-cell and spatial transcriptomics
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