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Related Concept Videos

MicroRNAs01:22

MicroRNAs

MicroRNA (miRNA) are short, regulatory RNA transcribed from introns—non-coding regions of a gene—or intergenic regions—stretches of DNA present between genes. Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA ends...
MicroRNAs01:22

MicroRNAs

MicroRNA (miRNA) are short, regulatory RNA transcribed from introns (non-coding regions of a gene) or intergenic regions (stretches of DNA present between genes). Several processing steps are required to form biologically active, mature miRNA. The initial transcript, called primary miRNA (pri-mRNA), base-pairs with itself, forming a stem-loop structure. Within the nucleus, an endonuclease enzyme, called Drosha, shortens the stem-loop structure into hairpin-shaped pre-miRNA. After the pre-miRNA...

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Related Experiment Video

Updated: May 26, 2026

High Throughput MicroRNA Profiling: Optimized Multiplex qRT-PCR at Nanoliter Scale on the Fluidigm Dynamic ArrayTM IFCs
07:27

High Throughput MicroRNA Profiling: Optimized Multiplex qRT-PCR at Nanoliter Scale on the Fluidigm Dynamic ArrayTM IFCs

Published on: August 3, 2011

A novel mean-centering method for normalizing microRNA expression from high-throughput RT-qPCR data.

Dennis Wylie1, Jeffrey Shelton, Ashish Choudhary

  • 1Asuragen Inc, Austin, TX 78744, USA. aadai@asuragen.com.

BMC Research Notes
|December 23, 2011
PubMed
Summary

We developed Mean-Centering Restricted (MCR) normalization for microRNA (miRNA) expression analysis in biofluids using the TaqMan Megaplex RT-qPCR platform. This method improves accuracy, especially with low RNA inputs and when many miRNAs are undetected.

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Area of Science:

  • Biochemistry
  • Molecular Biology
  • Bioinformatics

Background:

  • Accurate gene expression analysis relies on effective normalization.
  • Quantifying RNA in biofluids is challenging due to low input and inability to pre-quantify.
  • Robust normalization methods are needed for microRNA (miRNA) expression analysis in biofluids and tissues using high-throughput RT-qPCR.

Purpose of the Study:

  • To evaluate and identify the optimal normalization method for miRNA expression quantification.
  • To address challenges with low RNA input in biofluid samples.
  • To adapt normalization strategies for the TaqMan Megaplex RT-qPCR platform.

Main Methods:

  • Comparison of seven different normalization methods.
  • Development of a novel Mean-Centering Restricted (MCR) normalization strategy.
  • Evaluation of normalization performance on biofluid and tissue samples with low RNA input.

Main Results:

  • MCR normalization demonstrated comparable or superior performance to standard mean-centering and other methods.
  • The MCR method is adapted for the TaqMan Megaplex RT-qPCR platform and applicable to other high-throughput platforms.
  • Normalization using a restricted set of detected miRNAs outperformed methods using all miRNAs, including undetected ones.

Conclusions:

  • The MCR method was developed for normalizing miRNA expression from biofluids using the TaqMan Megaplex RT-qPCR platform.
  • Normalization based on the mean of fully detected miRNAs minimizes technical variance.
  • A small set of normalizer miRNAs can be used for migrating biomarker signatures from Megaplex to singleplex assays, particularly when many miRNAs are undetected.