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MicroRNAs

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...

MicroRNAs

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...

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Related Experiment Video

Updated: Jun 2, 2026

Enrichment of Native Lipoprotein Particles with microRNA and Subsequent Determination of Their Absolute/Relative microRNA Content and Their Cellular Transfer Rate

Enrichment of Native Lipoprotein Particles with microRNA and Subsequent Determination of Their Absolute/Relative microRNA Content and Their Cellular Transfer Rate

Published on: May 9, 2019

Normalizing bead-based microRNA expression data: a measurement error model-based approach.

Bin Wang¹, Xiao-Feng Wang, Yaguang Xi

¹Department of Mathematics and Statistics, University of South Alabama, Mobile, AL 36688, USA. bwang@jaguar1.usouthal.edu

Bioinformatics (Oxford, England)

|April 19, 2011

Summary

This study introduces a new measurement error model for normalizing bead-based microRNA microarray data. The method improves the accuracy and reproducibility of microRNA expression profiles compared to existing techniques.

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Area of Science:

Bioinformatics
Genomics
Molecular Biology

Background:

MicroRNA (miRNA) microarray data normalization is challenging due to low expression levels and small sample sizes.
Bead-based microarrays further complicate normalization by hybridizing miRNAs in smaller pools, impacting profile quality.

Purpose of the Study:

To develop and evaluate a measurement error model-based method for intrasample normalization of bead-based miRNA microarray data.
To improve the assembly of complete miRNA expression profiles from pooled data.

Main Methods:

A measurement error model was developed for bead-based microarray intrasample normalization.
The method was validated using quantitative real-time PCR (qRT-PCR) as a gold standard.
Performance was assessed through simulation studies and real bead-based miRNA expression data.

Main Results:

The proposed method successfully assembles complete miRNA profiles from subprofiles.
It yields more robust profiles and better agreement with qRT-PCR results than manufacturer-recommended methods.
The approach enhances the reproducibility of miRNA expression analysis between microarray platforms.

Conclusions:

The measurement error model-based method offers a robust solution for bead-based miRNA microarray intrasample normalization.
This method improves the identification of differentially expressed miRNAs and overall data quality.
The approach, combined with quantile normalization, provides reliable miRNA expression profiling.