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Massively parallel single-nucleus RNA-seq with DroNc-seq
Naomi Habib, Inbal Avraham-Davidi, Anindita Basu, Tyler Burks, Karthik Shekhar, Matan Hofree, Sourav R. Choudhury, François Aguet, Ellen Gelfand, Kristin Ardlie, David A. Weitz, Orit Rozenblatt-Rosen, Feng Zhang, Aviv Regev
Single-nucleus RNA sequencing (sNuc-seq) profiles RNA from tissues that are preserved or cannot be dissociated, but it does not provide high throughput. Here, we develop DroNc-seq: massively parallel sNuc-seq with droplet technology. We profile 39,111 nuclei from mouse and human archived brain samples to demonstrate sensitive, efficient, and unbiased classification of cell types, paving the way for systematic charting of cell atlases.