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

Authors :
Massachusetts Institute of Technology. Department of Biology
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
McGovern Institute for Brain Research at MIT
Koch Institute for Integrative Cancer Research at MIT
Zhang, Feng
Habib, Naomi
Choudhury, Sourav
Regev, Aviv
Avraham-Davidi, Inbal
Burks, Tyler
Shekhar, Karthik
Hofree, Matan
Aguet, François
Gelfand, Ellen
Ardlie, Kristin
Weitz, David A
Rozenblatt-Rosen, Orit
Basu, Anindita, 1978
Massachusetts Institute of Technology. Department of Biology
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
McGovern Institute for Brain Research at MIT
Koch Institute for Integrative Cancer Research at MIT
Zhang, Feng
Habib, Naomi
Choudhury, Sourav
Regev, Aviv
Avraham-Davidi, Inbal
Burks, Tyler
Shekhar, Karthik
Hofree, Matan
Aguet, François
Gelfand, Ellen
Ardlie, Kristin
Weitz, David A
Rozenblatt-Rosen, Orit
Basu, Anindita, 1978
Source :
Prof. Zhang via Courtney Crummett
Publication Year :
2018

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. Keywords: Cellular neuroscience; Gene expression; Gene expression analysis; RNA sequencing

Details

Database :
OAIster
Journal :
Prof. Zhang via Courtney Crummett
Notes :
application/pdf, en_US
Publication Type :
Electronic Resource
Accession number :
edsoai.on1141881510
Document Type :
Electronic Resource