Back to Search
Start Over
Normalization of circulating microRNA expression data obtained by quantitative real-time RT-PCR
- Source :
- Briefings in Bioinformatics
- Publication Year :
- 2015
- Publisher :
- Oxford University Press, 2015.
-
Abstract
- The high-throughput analysis of microRNAs (miRNAs) circulating within the blood of healthy and diseased individuals is an active area of biomarker research. Whereas quantitative real-time reverse transcription polymerase chain reaction (qPCR)-based methods are widely used, it is yet unresolved how the data should be normalized. Here, we show that a combination of different algorithms results in the identification of candidate reference miRNAs that can be exploited as normalizers, in both discovery and validation phases. Using the methodology considered here, we identify normalizers that are able to reduce nonbiological variation in the data and we present several case studies, to illustrate the relevance in the context of physiological or pathological scenarios. In conclusion, the discovery of stable reference miRNAs from high-throughput studies allows appropriate normalization of focused qPCR assays.
- Subjects :
- 0301 basic medicine
Normalization (statistics)
reference genes
Computational biology
Biology
Bioinformatics
Real-Time Polymerase Chain Reaction
geNorm
Sensitivity and Specificity
03 medical and health sciences
Reference Values
Reference genes
Normfinder
microRNA
Humans
Molecular Biology
Gene Expression Profiling
High-Throughput Nucleotide Sequencing
Reproducibility of Results
Gene expression profiling
Reverse transcription polymerase chain reaction
circulating miRNA
Circulating MicroRNA
qPCR
MicroRNAs
030104 developmental biology
Real-time polymerase chain reaction
normalization
Papers
Biomarker (medicine)
Algorithms
Biomarkers
Information Systems
Subjects
Details
- Language :
- English
- ISSN :
- 14774054 and 14675463
- Volume :
- 17
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- Briefings in Bioinformatics
- Accession number :
- edsair.doi.dedup.....3641de4095492388bc32fb96fe0149e9