Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

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...
DNA Microarrays02:34

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Autologous haematopoietic stem cell transplantation in non-MS neuroimmunological diseases.

Multiple sclerosis and related disorders·2025
Same author

Potential benefits of a virtual, home-based combined exercise and mindfulness training program for HSC transplant survivors: a single-arm pilot study.

BMC sports science, medicine & rehabilitation·2022
Same author

Corrigendum to: Intraspecific Transcriptome Variation and Sex-Biased Expression in Anopheles Arabiensis.

Genome biology and evolution·2022
Same author

Long-Term Suppression of Circulating Proinflammatory Cytokines in Multiple Sclerosis Patients Following Autologous Haematopoietic Stem Cell Transplantation.

Frontiers in immunology·2022
Same author

Sustained immunotolerance in multiple sclerosis after stem cell transplant.

Annals of clinical and translational neurology·2022
Same author

Intraspecific Transcriptome Variation and Sex-Biased Expression in Anopheles arabiensis.

Genome biology and evolution·2021
Same journal

Genome-wide analysis across Indian camel populations reveals genetic distinctiveness of the Kharai camel breed.

BMC genomics·2026
Same journal

Different genomic footprint of small insertion-deletion and structural variants determines the genetic divergence of indica and japonica rice.

BMC genomics·2026
Same journal

From nurse bee to queen egg: RNA-seq analysis of Apis mellifera eggs shows dietary protein-dependent gene regulation.

BMC genomics·2026
Same journal

A genome-wide association study to identify the genetic loci underlying carbapenem resistance in Acinetobacter baumannii.

BMC genomics·2026
Same journal

Comparative transcriptome analysis to reveal key drought stress-responsive genes in sorghum (Sorghum bicolor (L.) Moench).

BMC genomics·2026
Same journal

Tissue identity is the dominant determinant of cross-species transferability of a porcine developmental programme.

BMC genomics·2026
See all related articles

Related Experiment Video

Updated: Jun 3, 2026

Lung microRNA Profiling Across the Estrous Cycle in Ozone-exposed Mice
07:07

Lung microRNA Profiling Across the Estrous Cycle in Ozone-exposed Mice

Published on: January 7, 2019

Identification of microRNA-mRNA modules using microarray data.

Vivek Jayaswal1, Mark Lutherborrow, David D F Ma

  • 1School of Mathematics and Statistics, University of Sydney, Sydney, NSW, Australia. vivek@maths.usyd.edu.au

BMC Genomics
|March 8, 2011
PubMed
Summary
This summary is machine-generated.

This study introduces a novel two-step method to identify many-to-many relationships between microRNAs (miRNAs) and messenger RNAs (mRNAs). This approach enhances the understanding of gene regulatory networks by grouping related miRNAs and mRNAs.

More Related Videos

Performing Custom MicroRNA Microarray Experiments
07:04

Performing Custom MicroRNA Microarray Experiments

Published on: October 28, 2011

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

Related Experiment Videos

Last Updated: Jun 3, 2026

Lung microRNA Profiling Across the Estrous Cycle in Ozone-exposed Mice
07:07

Lung microRNA Profiling Across the Estrous Cycle in Ozone-exposed Mice

Published on: January 7, 2019

Performing Custom MicroRNA Microarray Experiments
07:04

Performing Custom MicroRNA Microarray Experiments

Published on: October 28, 2011

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

Area of Science:

  • Molecular Biology
  • Genetics
  • Bioinformatics

Background:

  • MicroRNAs (miRNAs) are key post-transcriptional regulators influencing gene expression and cellular processes.
  • miRNAs are integral to gene regulatory networks, with complex many-to-many interactions with messenger RNAs (mRNAs).
  • Existing methods often overlook the many-to-many nature of miRNA-mRNA interactions, focusing instead on individual pairs.

Purpose of the Study:

  • To develop a novel method for identifying many-to-many relationships between miRNAs and mRNAs.
  • To address the limitations of current methods that focus on singular miRNA-mRNA pairs.
  • To facilitate a more comprehensive understanding of gene regulatory networks.

Main Methods:

  • A two-step computational approach was employed.
  • Step 1: Clustering of miRNAs and mRNAs using prediction algorithms and expression data.
  • Step 2: Determining associations between miRNA and mRNA clusters based on expression profile changes.

Main Results:

  • The method successfully identified clusters of miRNAs and mRNAs exhibiting significant associations.
  • Statistically significant associations between miRNA and mRNA clusters indicate potential regulatory relationships.
  • This approach effectively reduces the complexity of miRNA-mRNA interactions.

Conclusions:

  • The proposed method simplifies complex miRNA-mRNA interactions into manageable groups.
  • This facilitates more biologically meaningful analyses and targeted experimental validation.
  • The findings contribute to a deeper understanding of miRNA-mediated gene regulation.