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

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

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 sampl...

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Main Authors: Avraham-Davidi, Inbal (Author), Burks, Tyler (Author), Shekhar, Karthik (Author), Hofree, Matan (Author), Aguet, François (Author), Gelfand, Ellen (Author), Ardlie, Kristin (Author), Weitz, David A (Author), Rozenblatt-Rosen, Orit (Author), Zhang, Feng (Contributor), Habib, Naomi (Contributor), Choudhury, Sourav (Contributor), Regev, Aviv (Contributor), Basu, Anindita 1978- (Author)
Other Authors: Massachusetts Institute of Technology. Department of Biology (Contributor), Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (Contributor), McGovern Institute for Brain Research at MIT (Contributor), Koch Institute for Integrative Cancer Research at MIT (Contributor)
Format: Article
Language:English
Published: Nature Publishing Group, 2018-03-21T18:49:11Z.
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Online Access:Get fulltext
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100 1 0 |a Avraham-Davidi, Inbal  |e author 
100 1 0 |a Massachusetts Institute of Technology. Department of Biology  |e contributor 
100 1 0 |a Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences  |e contributor 
100 1 0 |a McGovern Institute for Brain Research at MIT  |e contributor 
100 1 0 |a Koch Institute for Integrative Cancer Research at MIT  |e contributor 
100 1 0 |a Zhang, Feng  |e contributor 
100 1 0 |a Habib, Naomi  |e contributor 
100 1 0 |a Choudhury, Sourav  |e contributor 
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700 1 0 |a Shekhar, Karthik  |e author 
700 1 0 |a Hofree, Matan  |e author 
700 1 0 |a Aguet, François  |e author 
700 1 0 |a Gelfand, Ellen  |e author 
700 1 0 |a Ardlie, Kristin  |e author 
700 1 0 |a Weitz, David A  |e author 
700 1 0 |a Rozenblatt-Rosen, Orit  |e author 
700 1 0 |a Zhang, Feng  |e author 
700 1 0 |a Habib, Naomi  |e author 
700 1 0 |a Choudhury, Sourav  |e author 
700 1 0 |a Regev, Aviv  |e author 
700 1 0 |a Basu, Anindita  |d 1978-.   |e author 
245 0 0 |a Massively parallel single-nucleus RNA-seq with DroNc-seq 
260 |b Nature Publishing Group,   |c 2018-03-21T18:49:11Z. 
856 |z Get fulltext  |u http://hdl.handle.net/1721.1/114253 
520 |a 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. Keywords: Cellular neuroscience; Gene expression; Gene expression analysis; RNA sequencing 
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773 |t Nature Methods 

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