TY - JOUR T1 - DroNc-Seq: Deciphering cell types in human archived brain tissues by massively-parallel single nucleus RNA-seq JF - bioRxiv DO - 10.1101/115196 SP - 115196 AU - Naomi Habib AU - Anindita Basu AU - Inbal Avraham-Davidi AU - Tyler Burks AU - Sourav R. Choudhury AU - François Aguet AU - Ellen Gelfand AU - Kristin Ardlie AU - David A Weitz AU - Orit Rozenblatt-Rosen AU - Feng Zhang AU - Aviv Regev Y1 - 2017/01/01 UR - http://biorxiv.org/content/early/2017/03/09/115196.abstract N2 - Single nucleus RNA-Seq (sNuc-Seq) profiles RNA from tissues that are preserved or cannot be dissociated, but does not provide the throughput required to analyse many cells from complex tissues. Here, we develop DroNc-Seq, massively parallel sNuc-Seq with droplet technology. We profile 29,543 nuclei from mouse and human archived brain samples to demonstrate sensitive, efficient and unbiased classification of cell types, paving the way for charting systematic cell atlases. ER -