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ToolsLivak, Kenneth J, Wills, Quin F, Tipping, Alex J, Datta, Krishnalekha, Mittal, Rowena, Goldson, Andrew J, Sexton, Darren W and Holmes, Chris C (2013) Methods for qPCR gene expression profiling applied to 1440 lymphoblastoid single cells. Methods, 59 (1). pp. 71-9. ISSN 1095-9130
Full text not available from this repository.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.
| Item Type: | Article |
|---|---|
| Additional Information: | Copyright © 2012 Elsevier Inc. All rights reserved. |
| Uncontrolled Keywords: | cell line,data interpretation, statistical,gene expression profiling,humans,limit of detection,lymphoid progenitor cells,real-time polymerase chain reaction,reverse transcriptase polymerase chain reaction,single-cell analysis,wnt signaling pathway |
| Faculty \ School: | Faculty of Medicine and Health Sciences > Norwich Medical School |
| UEA Research Groups: | Faculty of Medicine and Health Sciences > Research Groups > Norwich Clinical Trials Unit |
| Depositing User: | Pure Connector |
| Date Deposited: | 24 Jan 2014 12:54 |
| Last Modified: | 16 May 2023 20:32 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/46829 |
| DOI: | 10.1016/j.ymeth.2012.10.004 |
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