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

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 u...

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Detalles Bibliográficos
Autores principales: Livak, Kenneth J., Wills, Quin F., Tipping, Alex J., Datta, Krishnalekha, Mittal, Rowena, Goldson, Andrew J., Sexton, Darren W., Holmes, Chris C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Academic Press 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3562442/
https://www.ncbi.nlm.nih.gov/pubmed/23079396
http://dx.doi.org/10.1016/j.ymeth.2012.10.004
Descripción
Sumario: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.