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Nat Methods. 2017 Oct;14(10):955-958. doi: 10.1038/nmeth.4407. Epub 2017 Aug 28.

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

Author information

1
Klarman Cell Observatory, Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
2
Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA.
3
McGovern Institute, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.
4
John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, Massachusetts, USA.
5
Department of Physics, Harvard University, Cambridge, Massachusetts, USA.
6
Howard Hughes Medical Institute, Department of Biology, Koch Institute of Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA.

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.

PMID:
28846088
PMCID:
PMC5623139
DOI:
10.1038/nmeth.4407
[Indexed for MEDLINE]
Free PMC Article

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