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


Autoria(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.
Data(s)

2010

Resumo

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.

Identificador

http://serval.unil.ch/?id=serval:BIB_BCC9074E34BD

isbn:1940-9818[electronic], 0736-6205[linking]

pmid:20359303

doi:10.2144/000113367

isiid:000277562300007

Idioma(s)

en

Fonte

Biotechniques, vol. 48, no. 3, pp. 219-222

Palavras-Chave #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
Tipo

info:eu-repo/semantics/article

article