DroNc-Seq: Deciphering cell types in human archived brain tissues by massively-parallel single nucleus RNA-seq
By
Naomi Habib,
Anindita Basu,
Inbal Avraham-Davidi,
Tyler Burks,
Sourav R Choudhury,
François Aguet,
Ellen Gelfand,
Kristin Ardlie,
David A Weitz,
Orit Rozenblatt-Rosen,
Feng Zhang,
Aviv Regev
Posted 09 Mar 2017
bioRxiv DOI: 10.1101/115196
(published DOI: 10.1038/nmeth.4407)
Single nucleus RNA-Seq (sNuc-Seq) profiles RNA from tissues that are preserved or cannot be dissociated, but does not provide the throughput required to analyse many cells from complex tissues. Here, we develop DroNc-Seq, massively parallel sNuc-Seq with droplet technology. We profile 29,543 nuclei from mouse and human archived brain samples to demonstrate sensitive, efficient and unbiased classification of cell types, paving the way for charting systematic cell atlases.
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