Concordance among digital gene expression, microarrays, and qPCR when measuring differential expression of microRNAs.

Details

Serval ID
serval:BIB_BCC9074E34BD
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Concordance among digital gene expression, microarrays, and qPCR when measuring differential expression of microRNAs.
Journal
Biotechniques
Author(s)
Pradervand S., Weber J., Lemoine F., Consales F., Paillusson A., Dupasquier M., Thomas J., Richter H., Kaessmann H., Beaudoing E., Hagenbüchle O., Harshman K.
ISSN
1940-9818[electronic], 0736-6205[linking]
Publication state
Published
Issued date
2010
Volume
48
Number
3
Pages
219-222
Language
english
Abstract
Profiling microRNA (miRNA) expression is of widespread interest given the critical role of miRNAs in many cellular functions. Profiling can be achieved via hybridization-based (microarrays), sequencing-based, or amplification-based (quantitative reverse transcription-PCR, qPCR) technologies. Among these, microarrays face the significant challenge of accurately distinguishing between mature and immature miRNA forms, and different vendors have developed different methods to meet this challenge. Here we measure differential miRNA expression using the Affymetrix, Agilent, and Illumina microarray platforms, as well as qPCR (Applied Biosystems) and ultra high-throughput sequencing (Illumina). We show that the differential expression measurements are more divergent when the three types of microarrays are compared than when the Agilent microarray, qPCR, and sequencing technology measurements are compared, which exhibit a good overall concordance.
Keywords
Brain/metabolism, Gene Expression Profiling/methods, Humans, MicroRNAs/biosynthesis, MicroRNAs/genetics, Myocardium/metabolism, Oligonucleotide Array Sequence Analysis/methods, Polymerase Chain Reaction/methods, Regression Analysis, Sequence Analysis, RNA/methods
Pubmed
Web of science
Open Access
Yes
Create date
10/03/2011 12:34
Last modification date
20/08/2019 16:30
Usage data