Massively parallel single-nucleus RNA-seq with DroNc-seq.

Naomi HabibInbal Avraham-DavidiAnindita BasuTyler BurksKarthik ShekharMatan HofreeSourav R ChoudhuryFrançois AguetEllen GelfandKristin ArdlieDavid A WeitzOrit Rozenblatt-RosenFeng ZhangAviv Regev

Published in: Nature methods (2017)

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.

Keyphrases

single cell
rna seq
high throughput
endothelial cells
machine learning
gene expression
deep learning
stem cells
multiple sclerosis
subarachnoid hemorrhage