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

Nat Methods
Authors
Keywords
Abstract

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.

Year of Publication
2017
Journal
Nat Methods
Volume
14
Issue
10
Pages
955-958
Date Published
2017 Oct
ISSN
1548-7105
DOI
10.1038/nmeth.4407
PubMed ID
28846088
PubMed Central ID
PMC5623139
Links
Grant list
R01 MH110049 / MH / NIMH NIH HHS / United States
P30 CA014051 / CA / NCI NIH HHS / United States
P01 HL120839 / HL / NHLBI NIH HHS / United States
U01 MH105960 / MH / NIMH NIH HHS / United States
R33 CA202820 / CA / NCI NIH HHS / United States
DP1 MH100706 / MH / NIMH NIH HHS / United States
U24 AI118672 / AI / NIAID NIH HHS / United States