Massively parallel single-nucleus RNA-seq with DroNc-seq.
Nat Methods
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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. |
Year of Publication | 2017
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Journal | Nat Methods
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Volume | 14
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Issue | 10
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Pages | 955-958
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Date Published | 2017 Oct
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ISSN | 1548-7105
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DOI | 10.1038/nmeth.4407
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PubMed ID | 28846088
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PubMed Central ID | PMC5623139
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Grant list | R01 MH110049 / MH / NIMH NIH HHS / United States
P30 CA014051 / CA / NCI NIH HHS / United States
P01 HL120839 / HL / NHLBI NIH HHS / United States
U01 MH105960 / MH / NIMH NIH HHS / United States
R33 CA202820 / CA / NCI NIH HHS / United States
DP1 MH100706 / MH / NIMH NIH HHS / United States
U24 AI118672 / AI / NIAID NIH HHS / United States
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