Massively parallel digital transcriptional profiling of single cells-Reference-Cited by-同舟云学术

Massively parallel digital transcriptional profiling of single cells

Published:2017-01-16 Issue:1 Volume:8 Page:
ISSN:2041-1723
Container-title:Nature Communications
language:en
Short-container-title:Nat Commun

Author:

Zheng Grace X. Y.,Terry Jessica M.,Belgrader Phillip,Ryvkin Paul,Bent Zachary W.,Wilson Ryan,Ziraldo Solongo B.,Wheeler Tobias D.,McDermott Geoff P.,Zhu Junjie,Gregory Mark T.,Shuga Joe,Montesclaros Luz,Underwood Jason G.,Masquelier Donald A.,Nishimura Stefanie Y.,Schnall-Levin Michael,Wyatt Paul W.,Hindson Christopher M.,Bharadwaj Rajiv,Wong Alexander,Ness Kevin D.,Beppu Lan W.,Deeg H. Joachim,McFarland Christopher^ORCID,Loeb Keith R.,Valente William J.,Ericson Nolan G.,Stevens Emily A.,Radich Jerald P.,Mikkelsen Tarjei S.,Hindson Benjamin J.,Bielas Jason H.

Publisher

Springer Science and Business Media LLC

Subject

General Physics and Astronomy,General Biochemistry, Genetics and Molecular Biology,General Chemistry

Link

http://www.nature.com/articles/ncomms14049.pdf

Reference42 articles.

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2. Wills, Q. F. et al. Single-cell gene expression analysis reveals genetic associations masked in whole-tissue experiments. Nat. Biotechnol. 31, 748–752 (2013).

3. Liu, S. & Trapnell, C. Single-Cell Transcriptome Sequencing: Recent Advances and Remaining Challenges Vol. 5 F1000 Research (2016).

4. Jaitin, D. A. et al. Massively parallel single-cell RNA-seq for marker-free decomposition of tissues into cell types. Science 343, 776–779 (2014).

5. Pollen, A. A. et al. Low-coverage single-cell mRNA sequencing reveals cellular heterogeneity and activated signaling pathways in developing cerebral cortex. Nat. Biotechnol. 32, 1053–1058 (2014).

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