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...
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) |
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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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Subjects: | |
Online Access: | Get fulltext |
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