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Updated: May 16, 2026

Isolation of Region-specific Microglia from One Adult Mouse Brain Hemisphere for Deep Single-cell RNA Sequencing
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Published on: December 3, 2019

Adapted Smart-seq3xpress Facilitates Selective Microglial Transcriptomic Profiling From Frozen Brain Tissue.

Dominika Dostalova1,2, Pavel Abaffy1,3, Eva Rohlova3

  • 1Laboratory of Glial Biology and Omics Technologies, Institute of Biotechnology of the Czech Academy of Sciences, Vestec, Czech Republic.

Cellular and Molecular Neurobiology
|May 14, 2026
PubMed
Summary
This summary is machine-generated.

Researchers developed a novel method for single-nucleus RNA sequencing of microglia from fresh-frozen brain tissue. This technique enables high-resolution transcriptomic analysis of microglia in archival samples, advancing neuroinflammation research.

Keywords:
EnrichmentFrozen tissueMicrogliaPU.1Single-nucleus RNA - sequencingStroke

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Harnessing the Power of MicroRNA Cargoes in Small Extracellular Vesicles Released from Fresh-Frozen Human Brain Sections

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Area of Science:

  • Neuroscience
  • Immunology
  • Genomics

Background:

  • Microglia play a critical role in brain health and disease, particularly neuroinflammation.
  • Single-cell RNA sequencing (scRNA-seq) is powerful for studying microglia but limited to fresh tissue.
  • Analyzing microglia in cryopreserved or archival samples is challenging due to lack of specific protocols.

Purpose of the Study:

  • To develop a method for microglial nuclei profiling from fresh-frozen brain tissue using Smart-seq3xpress.
  • To enable high-resolution transcriptomic analysis of microglia in archival samples.
  • To overcome limitations of standard single-nucleus RNA sequencing for microglial studies.

Main Methods:

  • PU.1-based enrichment of microglial nuclei from fresh-frozen tissue after brief formaldehyde fixation.
  • Thermolabile Proteinase K treatment to reverse cross-links for Smart-seq3xpress compatibility.
  • Benchmarking in a mouse model of ischemic stroke.

Main Results:

  • The developed method yielded higher gene and UMI counts and a greater proportion of coding reads compared to standard protocols.
  • Transcriptomic profiles accurately reflected whole-cell RNA sequencing data.
  • The method successfully detected microglial activation markers and subpopulations.

Conclusions:

  • This approach enables high-resolution transcriptomic analysis of microglia from fresh-frozen and archival brain samples.
  • It expands the utility of biobanked material for neuroinflammatory disease research.
  • Facilitates basic and translational studies by providing cellular insights from preserved tissues.