RT Journal Article
SR Electronic
T1 DroNc-Seq: Deciphering cell types in human archived brain tissues by massively-parallel single nucleus RNA-seq
JF bioRxiv
FD Cold Spring Harbor Laboratory
SP 115196
DO 10.1101/115196
A1 Naomi Habib
A1 Anindita Basu
A1 Inbal Avraham-Davidi
A1 Tyler Burks
A1 Sourav R. Choudhury
A1 François Aguet
A1 Ellen Gelfand
A1 Kristin Ardlie
A1 David A Weitz
A1 Orit Rozenblatt-Rosen
A1 Feng Zhang
A1 Aviv Regev
YR 2017
UL http://biorxiv.org/content/early/2017/03/09/115196.abstract
AB 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.