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.
| Original language | English |
|---|---|
| Pages (from-to) | 955-958 |
| Number of pages | 4 |
| Journal | Nature Methods |
| Volume | 14 |
| Issue number | 10 |
| DOIs | |
| State | Published - 1 Oct 2017 |
| Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2017 Nature America, Inc., part of Springer Nature. All rights reserved.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
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