Dataset Information

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

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.

SUBMITTER: Habib N

PROVIDER: S-EPMC5623139 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature

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Publications

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

Habib Naomi N Avraham-Davidi Inbal I Basu Anindita A Burks Tyler T Shekhar Karthik K Hofree Matan M Choudhury Sourav R SR Aguet François F Gelfand Ellen E Ardlie Kristin K Weitz David A DA Rozenblatt-Rosen Orit O Zhang Feng F Regev Aviv A

Nature methods 20170828 10

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. ...[more]

PMID: 28846088

Dataset Information

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

Publications

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

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