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Current Protocols
Article . 2023 . Peer-reviewed
License: CC BY NC
Data sources: Crossref
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Single‐Nucleus RNA‐Sequencing in Brain Tissue

Authors: Rebecca Waag; Johannes Bohacek;

Single‐Nucleus RNA‐Sequencing in Brain Tissue

Abstract

AbstractNeuroscience research greatly benefits from single‐cell sequencing technologies, which can reveal transcriptional alterations on a cellular level. However, preparing single‐cell suspensions is technically challenging, requires experience, and has several limitations that can influence the transcriptional readout. Performing sequencing of single nuclei instead of single cells alleviates several of the challenges of sample preparation and highlights acute nuclear transcription. Here, we provide a protocol to prepare a nuclei suspension for single‐nucleus RNA‐sequencing for cell type‐specific transcriptional profiling of brain tissue using the 10x Genomics single‐cell gene expression assay. Furthermore, we highlight important aspects to consider during experimental design and data analysis. © 2023 The Authors. Current Protocols published by Wiley Periodicals LLC.Basic Protocol 1: Preparation of single‐nucleus suspensionBasic Protocol 2: Preparation and sequencing of single‐nucleus libraries for RNA‐seq

Keywords

transcriptomics, single-nucleus, Sequence Analysis, RNA, Gene Expression Profiling, brain, Solitary Nucleus, RNA, RNA-Seq, sequencing, mouse

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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Top 10%
Average
Top 10%
hybrid
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