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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...
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 ends...

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Updated: Jun 7, 2026

A Complete Pipeline for Isolating and Sequencing MicroRNAs, and Analyzing Them Using Open Source Tools
09:29

A Complete Pipeline for Isolating and Sequencing MicroRNAs, and Analyzing Them Using Open Source Tools

Published on: August 21, 2019

Modified least-variant set normalization for miRNA microarray.

Chen Suo1, Agus Salim, Kee-Seng Chia

  • 1Centre for Molecular Epidemiology, National University of Singapore, 117597 Singapore.

RNA (New York, N.Y.)
|October 29, 2010
PubMed
Summary
This summary is machine-generated.

A new least-variant set (LVS) normalization method improves microRNA (miRNA) expression analysis. LVS outperforms traditional methods, offering better sensitivity and specificity for accurate downstream data interpretation.

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Area of Science:

  • Molecular Biology
  • Bioinformatics
  • Genomics

Background:

  • MicroRNAs (miRNAs) regulate gene expression post-transcriptionally.
  • Microarray technology is used for global miRNA expression profiling.
  • Suitability of traditional mRNA normalization methods for miRNA data is uncertain.

Purpose of the Study:

  • To develop and evaluate a novel normalization method for miRNA expression data.
  • To address limitations of existing normalization techniques for miRNA microarrays.
  • To improve the accuracy of downstream miRNA expression analyses.

Main Methods:

  • Development of a least-variant set (LVS) normalization method.
  • Selection of LVS miRNAs based on a robust linear model accounting for probe variance.
  • Evaluation using spike-in studies and tissue expression datasets.

Main Results:

  • LVS normalization demonstrated comparable sensitivity and specificity to ideal normalization in spike-in studies.
  • LVS outperformed no normalization, 75th percentile-shift, quantile, global median, VSN, and lowess methods.
  • Robust model-based summarization performed effectively.
  • LVS normalization showed superior operating characteristics across different tissue comparisons.

Conclusions:

  • The LVS normalization method is a robust and effective approach for miRNA expression data.
  • LVS normalization improves the reliability of miRNA expression profiling compared to existing methods.
  • This method enhances downstream analysis accuracy for miRNA research.