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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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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...
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MicroRNA Amplification and Recognition through Locked-nucleic-acid In situ Hybridization as a Novel Detection and Quantification Method
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MIROR: a method for cell-type specific microRNA occupancy rate prediction.

Peng Xie1, Yu Liu, Yanda Li

  • 1Bioinformatics Division, Center for Synthetic and Systems Biology, TNLIST/Department of Automation, Tsinghua University, Beijing 100084, China. xwwang@tsinghua.edu.cn.

Molecular Biosystems
|March 27, 2014
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Summary

This study introduces MIROR, a novel method predicting microRNA (miRNA) regulation intensity by considering cell type, miRNA-mRNA abundance, and competitive endogenous RNA (ceRNA) effects. MIROR accurately predicts miRNA binding and identifies differential regulation in cancer.

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Area of Science:

  • Molecular Biology
  • Bioinformatics
  • Genomics

Background:

  • MicroRNA (miRNA) regulation is cell-type specific, influenced by miRNA-mRNA abundance and competitive endogenous RNA (ceRNA) effects.
  • Existing miRNA target prediction methods often overlook the cellular environment's impact on miRNA regulation.
  • Understanding cell-specific miRNA activity is crucial for deciphering gene regulation.

Purpose of the Study:

  • To develop a novel computational method, MIROR (miRNA Occupancy Rate predictor), for predicting miRNA regulation intensity within specific cell types.
  • To account for both miRNA-mRNA relative abundance and the ceRNA effect in miRNA target prediction.
  • To provide a tool for analyzing differential miRNA regulation across various cellular contexts.

Main Methods:

  • Proposed MIROR, a predictor that calculates miRNA occupancy rates at target sites, integrating miRNA-mRNA abundance and ceRNA competition.
  • Validated MIROR predictions against Ago HITS-CLIP experiments to assess miRNA binding intensity accuracy.
  • Applied MIROR to a breast invasive carcinoma dataset to identify differentially regulated miRNA-mRNA pairs.

Main Results:

  • MIROR's predicted miRNA occupancy rates showed significant correlation with experimental miRNA binding intensities (Ago HITS-CLIP).
  • Analysis of breast invasive carcinoma data revealed numerous differentially regulated miRNA-mRNA pairs between tumor and normal tissues.
  • Identified key regulatory interactions missed by traditional methods, including those without significant mRNA expression changes.

Conclusions:

  • MIROR offers a novel strategy for predicting and analyzing cell-type-specific miRNA regulation.
  • The method effectively captures miRNA-mRNA interactions influenced by the cellular environment and ceRNA effects.
  • MIROR enhances the understanding of miRNA's role in diseases like cancer, even when mRNA levels are unchanged.