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 Habib, Naomi
A1 Basu, Anindita
A1 Avraham-Davidi, Inbal
A1 Burks, Tyler
A1 Choudhury, Sourav R.
A1 Aguet, François
A1 Gelfand, Ellen
A1 Ardlie, Kristin
A1 Weitz, David A
A1 Rozenblatt-Rosen, Orit
A1 Zhang, Feng
A1 Regev, Aviv
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.