Cell type discovery using single-cell transcriptomics: implications for ontological representation

Author:

Aevermann Brian D1,Novotny Mark1,Bakken Trygve2ORCID,Miller Jeremy A2,Diehl Alexander D3,Osumi-Sutherland David4,Lasken Roger S1,Lein Ed S2,Scheuermann Richard H15ORCID

Affiliation:

1. J. Craig Venter Institute, La Jolla, CA 92037, USA

2. Allen Institute for Brain Science, Seattle, WA 98109, USA

3. Department of Biomedical Informatics, University at Buffalo, Buffalo, NY 14203, USA

4. European Molecular Biology Laboratory, European Bioinformatics Institute, Wellcome Trust Genome Campus, Hinxton, CB10 1SD, UK

5. Department of Pathology, University of California San Diego, La Jolla, CA 92093, USA

Funder

California Institute for Regenerative Medicine

Wellcome Trust

Silicon Valley Community Foundation

Publisher

Oxford University Press (OUP)

Subject

Genetics (clinical),Genetics,Molecular Biology,General Medicine

Reference42 articles.

1. mRNA-Seq whole transcriptome analysis of a single cell;Tang;Nat. Methods,2009

2. Tracing the derivation of embryonic stem cells from the inner cell mass by single-cell RNA-Seq analysis;Tang;Cell Stem Cell,2010

3. An ontology for cell types;Bard;Genome Biol,2005

4. Cell type discovery and representation in the era of high-content single cell phenotyping;Bakken;BMC Bioinformatics,2017

5. Brain structure. Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq;Zeisel;Science,2015

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