Massively parallel digital transcriptional profiling of single cells

Massively parallel digital transcriptional profiling of single cells

Single-cell gene expression analysis is challenging. This work describes a new droplet-based single cell RNA-seq platform capable of processing tens of thousands of cells across 8 independent samples in minutes, and demonstrates cellular subtypes and host–donor chimerism in transplant patients.

Enregistré dans:
Détails bibliographiques
Auteurs principaux: Grace X. Y. Zheng, Jessica M. Terry, Phillip Belgrader, Paul Ryvkin, Zachary W. Bent, Ryan Wilson, Solongo B. Ziraldo, Tobias D. Wheeler, Geoff P. McDermott, Junjie Zhu, Mark T. Gregory, Joe Shuga, Luz Montesclaros, Jason G. Underwood, Donald A. Masquelier, Stefanie Y. Nishimura, Michael Schnall-Levin, Paul W. Wyatt, Christopher M. Hindson, Rajiv Bharadwaj, Alexander Wong, Kevin D. Ness, Lan W. Beppu, H. Joachim Deeg, Christopher McFarland, Keith R. Loeb, William J. Valente, Nolan G. Ericson, Emily A. Stevens, Jerald P. Radich, Tarjei S. Mikkelsen, Benjamin J. Hindson, Jason H. Bielas
Format: article
Langue:EN
Publié: Nature Portfolio 2017
Sujets:
Science
Q
Accès en ligne:https://doaj.org/article/9c33171e807745c7908a1e1e9a3712e3
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Documents similaires