Quantitative assessment of single-cell RNA-sequencing methods View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-01

AUTHORS

Angela R Wu, Norma F Neff, Tomer Kalisky, Piero Dalerba, Barbara Treutlein, Michael E Rothenberg, Francis M Mburu, Gary L Mantalas, Sopheak Sim, Michael F Clarke, Stephen R Quake

ABSTRACT

Interest in single-cell whole-transcriptome analysis is growing rapidly, especially for profiling rare or heterogeneous populations of cells. We compared commercially available single-cell RNA amplification methods with both microliter and nanoliter volumes, using sequence from bulk total RNA and multiplexed quantitative PCR as benchmarks to systematically evaluate the sensitivity and accuracy of various single-cell RNA-seq approaches. We show that single-cell RNA-seq can be used to perform accurate quantitative transcriptome measurement in individual cells with a relatively small number of sequencing reads and that sequencing large numbers of single cells can recapitulate bulk transcriptome complexity. More... »

PAGES

41-46

Journal

TITLE

Nature Methods

ISSUE

1

VOLUME

11

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/nmeth.2694

DOI

http://dx.doi.org/10.1038/nmeth.2694

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1008016112

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/24141493


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1038/nmeth.2694'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/nmeth.2694'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/nmeth.2694'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/nmeth.2694'


 

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330 rdf:type schema:Organization
331 https://www.grid.ac/institutes/grid.413575.1 schema:alternateName Howard Hughes Medical Institute
332 schema:name Department of Bioengineering, Stanford University, Stanford, California, USA.
333 Howard Hughes Medical Institute, Stanford, California, USA.
334 rdf:type schema:Organization
 




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