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

4.1K
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...
4.1K

You might also read

Related Articles

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

Sort by
Same author

Association of Urinary Soluble CD163 With Response to Immunosuppressive Therapy and Renal Relapse in IgAN.

Kidney international reports·2026
Same author

Harpagide alleviates sepsis-induced acute respiratory distress syndrome via gut microbiota modulation.

Phytomedicine : international journal of phytotherapy and phytopharmacology·2026
Same author

Sub-inhibitory tilmicosin promotes horizontal transfer of bla<sub>NDM</sub> via extracellular vesicles through activation of the zraS/zraR system.

Veterinary microbiology·2026
Same author

Exercise Therapy for Chronic Ankle Instability: Which Modality for Which Deficit? A Systematic Review and Meta-Analysis.

Journal of foot and ankle research·2026
Same author

3D Whole-Kidney T<sub>1</sub> Mapping Using Look-Locker Inversion Recovery in Conjunction With Balanced SSFP Readout and Dictionary Matching.

Magnetic resonance in medicine·2026
Same author

Developing Dynamic Prediction Methods for Survival Time Lost in Chronic Kidney Disease Progression under Competing Risks.

IEEE journal of biomedical and health informatics·2026

Related Experiment Video

Updated: Feb 20, 2026

CRISPR Gene Editing Tool for MicroRNA Cluster Network Analysis
10:40

CRISPR Gene Editing Tool for MicroRNA Cluster Network Analysis

Published on: April 25, 2022

2.9K

MicroRNAs and complex diseases: from experimental results to computational models.

Xing Chen1, Di Xie2, Qi Zhao2

  • 1School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China.

Briefings in Bioinformatics
|October 19, 2017
PubMed
Summary
This summary is machine-generated.

MicroRNAs (miRNAs) are key cellular components involved in biological processes. This review details computational models for identifying miRNA-disease associations, aiding disease understanding and treatment.

Keywords:
biological networkcomplex diseasecomputational modelmachine learningmicroRNAmicroRNA–disease association prediction

More Related Videos

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila
06:41

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila

Published on: August 20, 2019

14.4K
MicroRNA Amplification and Recognition through Locked-nucleic-acid In situ Hybridization as a Novel Detection and Quantification Method
09:06

MicroRNA Amplification and Recognition through Locked-nucleic-acid In situ Hybridization as a Novel Detection and Quantification Method

Published on: October 7, 2025

435

Related Experiment Videos

Last Updated: Feb 20, 2026

CRISPR Gene Editing Tool for MicroRNA Cluster Network Analysis
10:40

CRISPR Gene Editing Tool for MicroRNA Cluster Network Analysis

Published on: April 25, 2022

2.9K
In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila
06:41

In Vivo Functional Study of Disease-associated Rare Human Variants Using Drosophila

Published on: August 20, 2019

14.4K
MicroRNA Amplification and Recognition through Locked-nucleic-acid In situ Hybridization as a Novel Detection and Quantification Method
09:06

MicroRNA Amplification and Recognition through Locked-nucleic-acid In situ Hybridization as a Novel Detection and Quantification Method

Published on: October 7, 2025

435

Area of Science:

  • Biochemistry
  • Genetics
  • Bioinformatics

Background:

  • MicroRNAs (miRNAs) are crucial regulatory molecules in diverse biological processes across various organisms.
  • Identifying miRNA-disease associations is vital for understanding disease pathogenesis and developing diagnostic/therapeutic tools.
  • Numerous experimental and computational methods have been developed to discover novel miRNA-disease links.

Purpose of the Study:

  • To review the functions of miRNAs, their target interactions, and their association with human diseases.
  • To provide an overview of important miRNA-related databases.
  • To critically analyze state-of-the-art computational models for predicting miRNA-disease associations.

Main Methods:

  • Comprehensive literature review of miRNA functions, interactions, and disease associations.
  • Selection and introduction of five key human diseases and five crucial disease-related miRNAs.
  • Systematic review and categorization of 20 computational models for miRNA-disease association prediction.

Main Results:

  • Detailed discussion on miRNA functions, target interactions, and established miRNA-disease links.
  • Introduction to significant publicly available miRNA databases.
  • Analysis of 20 computational models, highlighting their strengths and perspectives in predicting miRNA-disease associations.

Conclusions:

  • Identifying disease-related miRNAs accelerates molecular-level understanding of pathogenesis and aids in developing diagnostic and therapeutic tools.
  • Computational models are essential for efficiently predicting promising miRNA-disease pairs, reducing experimental costs and time.
  • The review outlines challenges, a framework for powerful predictive models, and future research directions in miRNA-disease association prediction.