Massively parallel single-nucleus RNA-seq with DroNc-seq
2017; Nature Portfolio; Volume: 14; Issue: 10 Linguagem: Inglês
10.1038/nmeth.4407
ISSN1548-7105
AutoresNaomi Habib, Inbal Avraham‐Davidi, Anindita Basu, Tyler Burks, Karthik Shekhar, Matan Hofree, Sourav Choudhury, François Aguet, Ellen Gelfand, Kristin Ardlie, David A. Weitz, Orit Rozenblatt–Rosen, Feng Zhang, Aviv Regev,
Tópico(s)Cancer-related molecular mechanisms research
ResumoDroNc-seq enables low-cost, high-throughput single-nucleus RNA-seq of tissues that are archived or difficult to dissociate, such as post-mortem human brain. 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.
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