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PMID: 23079396 Published · ppublish English Journal Article Research Support, Non-U.S. Gov't

Methods for qPCR gene expression profiling applied to 1440 lymphoblastoid single cells.

Methods (San Diego, Calif.) ·Vol. 59 ·No. 1 ·2013-01-00 ·Pages 71-9

Livak KJ, Wills QF, Tipping AJ, Datta K, Mittal R, Goldson AJ, Sexton DW, Holmes CC

Abstract

The stochastic nature of generating eukaryotic transcripts challenges conventional methods for obtaining and analyzing single-cell gene expression data. In order to address the inherent noise, detailed methods are described on how to collect data on multiple genes in a large number of single cells using microfluidic arrays. As part of a study exploring the effect of genotype on Wnt pathway activation, data were collected for 96 qPCR assays on 1440 lymphoblastoid cells. The description of methods includes preliminary data processing steps. The methods used in the collection and analysis of single-cell qPCR data are contrasted with those used in conventional qPCR.

MeSH Terms
Cell Line Data Interpretation, Statistical Gene Expression Profiling/methods Humans Limit of Detection Lymphoid Progenitor Cells/metabolism Real-Time Polymerase Chain Reaction Reverse Transcriptase Polymerase Chain Reaction Single-Cell Analysis Wnt Signaling Pathway
Authors & Affiliations
8 authors, click to expand affiliations / ORCID
Livak Kenneth J
Fluidigm Corporation, 7000 Shoreline Court, Suite 100, South San Francisco, CA 94080, USA. [email protected]
Wills Quin F
Tipping Alex J
Datta Krishnalekha
Mittal Rowena
Goldson Andrew J
Sexton Darren W
Holmes Chris C
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Article Info
Journal
Methods (San Diego, Calif.)
Abbr.
Methods
ISSN
1095-9130
Published
2013-01-00
Epub
2012-00-16
Pages
71-9
Language
English
Region
United States
NLM ID
9426302
PMCID
PMC3562442
Subset
IM
Grants
Wellcome Trust · 090532 · United Kingdom
Medical Research Council · MC_UP_A390_1107 · United Kingdom
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