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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...
Regulation of Expression at Multiple Steps01:23

Regulation of Expression at Multiple Steps

The gene expression in cells is regulated at different stages: (i) transcription, (ii) RNA processing, (iii) RNA localization, and (iv) translation. Transcriptional regulation is mediated by regulatory proteins such as transcription factors, activators, or repressors—these control gene expression by initiating or inhibiting the transcription of genes. Once a precursor or pre-mRNA is produced, it undergoes post-transcriptional modification, including 5' capping, splicing, and the addition of a...
mRNA Stability and Gene Expression02:51

mRNA Stability and Gene Expression

The structure and stability of mRNA molecules regulates gene expression, as mRNAs are a key step in the pathway from gene to protein. In eukaryotes, the half-life of mRNA varies from a few minutes up to several days. mRNA stability is essential in growth and development. The absence of the proteins regulating its stability, such as tristetraprolin in mice, can cause systemic issues, including bone marrow overgrowth, inflammation, and autoimmunity.
Cis-acting Elements involved in mRNA stability
mRNA Stability and Gene Expression02:51

mRNA Stability and Gene Expression

The structure and stability of mRNA molecules regulates gene expression, as mRNAs are a key step in the pathway from gene to protein. In eukaryotes, the half-life of mRNA varies from a few minutes up to several days. mRNA stability is essential in growth and development. The absence of the proteins regulating its stability, such as tristetraprolin in mice, can cause systemic issues, including bone marrow overgrowth, inflammation, and autoimmunity.
Cis-acting Elements involved in mRNA stability

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Related Experiment Video

Updated: Jun 20, 2026

Genome-wide Screen for miRNA Targets Using the MISSION Target ID Library
08:40

Genome-wide Screen for miRNA Targets Using the MISSION Target ID Library

Published on: April 6, 2012

Conserved expression patterns predict microRNA targets.

William Ritchie1, Megha Rajasekhar, Stephane Flamant

  • 1Gene and Stem Cell Therapy Program, Centenary Institute, Camperdown, Australia.

Plos Computational Biology
|September 26, 2009
PubMed
Summary
This summary is machine-generated.

This study introduces a new computational method to identify microRNA (miRNA) targets by analyzing conserved expression patterns. The findings reveal that miRNAs can also enhance gene expression, a role previously overlooked in gene regulation.

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Identifying Targets of Human microRNAs with the LightSwitch Luciferase Assay System using 3'UTR-reporter Constructs and a microRNA Mimic in Adherent Cells
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Identifying Targets of Human microRNAs with the LightSwitch Luciferase Assay System using 3'UTR-reporter Constructs and a microRNA Mimic in Adherent Cells

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Biotin-based Pulldown Assay to Validate mRNA Targets of Cellular miRNAs
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Biotin-based Pulldown Assay to Validate mRNA Targets of Cellular miRNAs

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Last Updated: Jun 20, 2026

Genome-wide Screen for miRNA Targets Using the MISSION Target ID Library
08:40

Genome-wide Screen for miRNA Targets Using the MISSION Target ID Library

Published on: April 6, 2012

Identifying Targets of Human microRNAs with the LightSwitch Luciferase Assay System using 3'UTR-reporter Constructs and a microRNA Mimic in Adherent Cells
07:19

Identifying Targets of Human microRNAs with the LightSwitch Luciferase Assay System using 3'UTR-reporter Constructs and a microRNA Mimic in Adherent Cells

Published on: September 28, 2011

Biotin-based Pulldown Assay to Validate mRNA Targets of Cellular miRNAs
11:00

Biotin-based Pulldown Assay to Validate mRNA Targets of Cellular miRNAs

Published on: June 12, 2018

Area of Science:

  • Molecular Biology
  • Genomics
  • Bioinformatics

Background:

  • MicroRNAs (miRNAs) are key regulators of gene expression, influencing numerous biological processes.
  • Current computational methods for predicting miRNA targets and their repressive functions are often inaccurate.

Purpose of the Study:

  • To develop a novel computational method for identifying conserved miRNA-mRNA interactions.
  • To uncover previously unrecognized roles of miRNAs in gene regulation, including gene enhancement.

Main Methods:

  • Combined human and mouse expression data to find conserved orthologous miRNA and mRNA gene expression patterns.
  • Utilized luciferase reporter assays to experimentally validate predicted miRNA-target interactions.

Main Results:

  • Predicted thousands of putative miRNA targets with high confidence.
  • Experimentally confirmed 4 out of 6 predicted miRNA-target interactions using luciferase assays.
  • Identified numerous miRNAs exhibiting gene expression enhancement, often via repression of negative transcriptional regulators.

Conclusions:

  • The novel method accurately predicts miRNA targets and reveals a significant, underappreciated role for miRNAs in indirect gene expression enhancement.
  • Indirect gene enhancement by miRNAs may be as prevalent as their repressive functions, highlighting a new dimension of miRNA regulatory mechanisms.