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The nervous system is comprised of heterogenous groups of cells that display a diverse array of morphological, biochemical, and electrophysiological properties. While the bulk RNA sequencing has been useful for determining tissue-wide changes in the gene expression under different conditions, it precludes the detection of transcriptional changes at the single-cell level. Recent advances in the single-cell transcriptional analysis have enabled the classification of heterogenous cells into functional groups based on their molecular repertoire and can even be leveraged to detect sets of neurons that had been recently active.1,2,3,4 Over the last ten years, the development of single cell RNA sequencing (scRNA-Seq) has enabled the study of gene expression in individual cells, providing a view into cell-type diversity.5
The emergence of scalable approaches such as massively parallel scRNA-Seq, has provided platforms to sequence heterogeneous tissues, including many regions of the central nervous system.6,7,8,9,10,11,12,13,14,15 However, single cell dissociation methods can lead to the cell death as well as experimental changes in gene expression.16 Recent work has adapted single cell sequencing methods to enable preservation of endogenous transcriptional profiles.1,3,4,17,18,19 These strategies have been particularly suitable for detecting immediate early gene (IEG) expression following sensory stimulus or behavior.3,4 In the future, this strategy could also be used to study dynamic changes in tissues in disease states or in response to stress. Of these methods, single nucleus RNA sequencing (snRNA-Seq) is a promising approach that does not involve stress-inducing cell dissociation and can be used on difficult to dissociate tissue (such as the spinal cord), as well as frozen tissue.4,17,18,19 Adapted from previous nuclei isolation methods,20,21,22,23,25 snRNA-Seq typically utilizes rapid tissue disruption and cell lysis under cold conditions, centrifugation, and separation of nuclei from cellular debris.4 Nuclei can be isolated for the downstream next-generation sequencing on multiple microfluidic droplet encapsulation platforms.4,7,24,25 This method allows for a snapshot of the transcriptional activity of thousands of cells at a moment in time.
There are multiple strategies for releasing nuclei from cells before isolation and sequencing, each with their own advantages and disadvantages. Here, we describe and compare two protocols to enable isolation of nuclei from the adult spinal cord for the downstream massively parallel snRNA-Seq: detergent-mechanical lysis and hypotonic-mechanical lysis. Detergent-mechanical lysis provides complete tissue disruption and a higher final yield of nuclei. Hypotonic mechanical-lysis includes a controllable degree of tissue disruption, providing an opportunity for selecting a balance between the quantity and purity of the final nuclear yield. These approaches provide comparable RNA yield, detected numbers of genes per nucleus, and cell-type profiling and also can both be used successfully for snRNA-Seq.