DAG expression : high-throughput gene expression analysis of real-time PCR data using standard curves for relative quantification
Ballester Devis, Maria (Centre de Recerca en Agrigenòmica)
Cordón, Ruben (Institut de Recerca i Tecnologia Agroalimentàries. Centre de Recerca en Sanitat Animal)
Folch, Josep M. (Centre de Recerca en Agrigenòmica)

Date:	2013
Abstract:	Background: Real-time quantitative PCR (qPCR) is still the gold-standard technique for gene-expression quantification. Recent technological advances of this method allow for the high-throughput gene-expression analysis, without the limitations of sample space and reagent used. However, non-commercial and user-friendly software for the management and analysis of these data is not available. Results: The recently developed commercial microarrays allow for the drawing of standard curves of multiple assays using the same n-fold diluted samples. Data Analysis Gene (DAG) Expression software has been developed to perform highthroughput gene-expression data analysis using standard curves for relative quantification and one or multiple reference genes for sample normalization. We discuss the application of DAG Expression in the analysis of data from an experiment performed with Fluidigm technology, in which 48 genes and 115 samples were measured. Furthermore, the quality of our analysis was tested and compared with other available methods. Conclusions: DAG Expression is a freely available software that permits the automated analysis and visualization of highthroughput qPCR. A detailed manual and a demo-experiment are provided within the DAG Expression software at http:// www. dagexpression. com/dage. zip.
Grants:	Ministerio de Ciencia e Innovación AGL2011-29821-CO2 Ministerio de Ciencia e Innovación CSD2007-00036
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Published in:	PloS one, Vol. 8, issue 11 (Nov. 2013) , e80385, ISSN 1932-6203

DOI: 10.1371/journal.pone.0080385
PMID: 24260380

5 p, 2.2 MB

The record appears in these collections:
Research literature > UAB research groups literature > Research Centres and Groups (research output) > Experimental sciences > CRAG (Centre for Research in Agricultural Genomics)
Articles > Research articles
Articles > Published articles