SUMMARY
Massively parallel single-cell RNA sequencing can precisely resolve
cellular diversity in a high-throughput manner at low cost, but unbiased
isolation of intact single cells from complex tissues, such as adult mammalian
brains, is challenging. Here, we integrate sucrose-gradient assisted
purification of nuclei with droplet microfluidics to develop a highly scalable
single-nucleus RNA-Seq approach (sNucDrop-Seq), which is free of enzymatic
dissociation and nuclei sorting. By profiling ~18,000 nuclei isolated
from cortical tissues of adult mice, we demonstrate that sNucDrop-Seq not only
accurately reveals neuronal and non-neuronal subtype composition with high
sensitivity, but also enables in-depth analysis of transient transcriptional
states driven by neuronal activity, at single-cell resolution, in
vivo.