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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...
Cancer-Critical Genes II: Tumor Suppressor Genes01:05

Cancer-Critical Genes II: Tumor Suppressor Genes

Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...
Cancer-Critical Genes II: Tumor Suppressor Genes01:05

Cancer-Critical Genes II: Tumor Suppressor Genes

Genes usually encode proteins necessary for the proper functioning of a healthy cell. Mutations can often cause changes to the gene expression pattern, thereby altering the phenotype.
When the function of certain critical genes, especially those involved in cell cycle regulation and cell growth signaling cascades, gets disrupted, it upsets the cell cycle progression. Such cells with unchecked cell cycles start proliferating uncontrollably and eventually develop into tumors.
Such genes that act...

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Related Experiment Video

Updated: Jun 13, 2026

Characterization of Functionally Associated miRNAs in Glioblastoma and their Engineering into Artificial Clusters for Gene Therapy
09:40

Characterization of Functionally Associated miRNAs in Glioblastoma and their Engineering into Artificial Clusters for Gene Therapy

Published on: October 4, 2019

Module network inference from a cancer gene expression data set identifies microRNA regulated modules.

Eric Bonnet1, Marianthi Tatari, Anagha Joshi

  • 1Department of Plant Systems Biology, VIB, Gent, Belgium.

Plos One
|April 27, 2010
PubMed
Summary

This study uses a systems approach to identify microRNA (miRNA) functions in gene regulation. We found that computational analysis of expression data can predict miRNA roles in gene modules, aiding cancer research.

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Analysis of Combinatorial miRNA Treatments to Regulate Cell Cycle and Angiogenesis
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Analysis of Combinatorial miRNA Treatments to Regulate Cell Cycle and Angiogenesis

Published on: March 30, 2019

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Last Updated: Jun 13, 2026

Characterization of Functionally Associated miRNAs in Glioblastoma and their Engineering into Artificial Clusters for Gene Therapy
09:40

Characterization of Functionally Associated miRNAs in Glioblastoma and their Engineering into Artificial Clusters for Gene Therapy

Published on: October 4, 2019

Analysis of Combinatorial miRNA Treatments to Regulate Cell Cycle and Angiogenesis
11:44

Analysis of Combinatorial miRNA Treatments to Regulate Cell Cycle and Angiogenesis

Published on: March 30, 2019

Area of Science:

  • Molecular Biology
  • Systems Biology
  • Genomics

Background:

  • MicroRNAs (miRNAs) are key regulators of gene expression involved in development and disease, including cancer.
  • Understanding miRNA function within complex regulatory networks remains challenging.
  • Systems biology approaches, such as module network inference, offer a path to defining these roles.

Purpose of the Study:

  • To analyze and experimentally validate a miRNA-mRNA regulatory module network inferred from expression data.
  • To assess the utility of a probabilistic optimization-based module network inference algorithm.
  • To identify specific miRNA-gene module interactions and their functional significance.

Main Methods:

  • Inference of a module network using miRNA and mRNA expression data.
  • Application of a novel module network inference algorithm based on probabilistic optimization.
  • Experimental validation of predicted miRNA-gene module relationships, focusing on miR-200a and ZEB1.

Main Results:

  • The algorithm successfully predicted statistically significant miRNA regulators for co-expressed gene modules.
  • Detailed analysis confirmed the functional coherence of several predicted miRNA-module assignments.
  • Experimental results strongly supported miR-200a as a regulator of a nine-gene module involved in epithelial homeostasis, likely via ZEB1.

Conclusions:

  • Robust module network analysis of expression data provides novel insights into miRNA function.
  • Computational approaches can identify candidate miRNA-regulatory modules for experimental investigation.
  • This strategy aids in deciphering miRNA roles in cellular processes and their potential contribution to cancer.