Massively-parallel single nucleus RNA-seq with DroNc-seq

DSpace/Manakin Repository

Massively-parallel single nucleus RNA-seq with DroNc-seq

Citable link to this page

 

 
Title: Massively-parallel single nucleus RNA-seq with DroNc-seq
Author: Habib, Naomi; Avraham-Davidi, Inbal; Basu, Anindita; Burks, Tyler; Shekhar, Karthik; Hofree, Matan; Choudhury, Sourav R.; Aguet, François; Gelfand, Ellen; Ardlie, Kristin; Weitz, David A; Rozenblatt-Rosen, Orit; Zhang, Feng; Regev, Aviv

Note: Order does not necessarily reflect citation order of authors.

Citation: Habib, N., I. Avraham-Davidi, A. Basu, T. Burks, K. Shekhar, M. Hofree, S. R. Choudhury, et al. 2017. “Massively-parallel single nucleus RNA-seq with DroNc-seq.” Nature methods 14 (10): 955-958. doi:10.1038/nmeth.4407. http://dx.doi.org/10.1038/nmeth.4407.
Full Text & Related Files:
Abstract: 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 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.
Published Version: doi:10.1038/nmeth.4407
Other Sources: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5623139/pdf/
Terms of Use: This article is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms-of-use#LAA
Citable link to this page: http://nrs.harvard.edu/urn-3:HUL.InstRepos:35015076
Downloads of this work:

Show full Dublin Core record

This item appears in the following Collection(s)

 
 

Search DASH


Advanced Search
 
 

Submitters