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

3.3K
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...
3.3K
MicroRNAs01:22

MicroRNAs

22.5K
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...
22.5K

You might also read

Related Articles

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

Sort by
Same author

Transcriptomic profiling of a novel gastric implantation model identifies mechanisms and pathways that drive implantation into explanted human peritoneum.

Cancer gene therapy·2026
Same author

An oncostatin M receptor and chloride intracellular channel 1 crosstalk drives key oncogenic pathways in glioblastoma.

Signal transduction and targeted therapy·2026
Same author

B cells drive CD4 T cell immunosenescence and age-associated health decline.

Science immunology·2026
Same author

Identification of Ephrin type-B receptor 4 as a critical mediator of tissue fibrosis.

JCI insight·2025
Same author

IID 2025: Physical protein interaction data with detection types, co-purified protein sets, molecular docking, and immune cell networks.

Nucleic acids research·2025
Same author

An OSMR-CLIC1 cross talk drives key oncogenic pathways in glioblastoma.

bioRxiv : the preprint server for biology·2025
Same journal

3DICE: Interpretable 3D Cross-Modal Learning for Drug-Target Interaction Prediction and Large-Scale Drug Discovery.

Bioinformatics (Oxford, England)·2026
Same journal

KASSPer: Kinase Active Site Structure Prediction using Protein and Ligand Language Models and Its Application to Virtual Screening.

Bioinformatics (Oxford, England)·2026
Same journal

IDR searcher: a search engine solution for public image resources.

Bioinformatics (Oxford, England)·2026
Same journal

KCFtools: Rapid alignment-free method for introgression screening and GWAS using k-mer profiles.

Bioinformatics (Oxford, England)·2026
Same journal

Meta2DB: Curated shotgun metagenomic feature sets and metadata for health state prediction.

Bioinformatics (Oxford, England)·2026
Same journal

conMItion: an R package adjusting confounding factors for associations in multi-omics.

Bioinformatics (Oxford, England)·2026
See all related articles

Related Experiment Video

Updated: Oct 27, 2025

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

63

miRAnno-network-based functional microRNA annotation.

Tomas Tokar1, Chiara Pastrello1, Mark Abovsky1

  • 1Osteoarthritis Research Program Division of Orthopedic Surgery Schroeder Arthritis Institute, and Data Science Discovery Centre for Chronic Diseases Krembil Research Institute, University Health Network, Toronto, Ontario, Canada.

Bioinformatics (Oxford, England)
|July 23, 2021
PubMed
Summary
This summary is machine-generated.

We developed miRAnno, a web tool for microRNA (miRNA) annotation. miRAnno improves upon standard pathway enrichment analysis by using molecular networks for more accurate miRNA-pathway associations.

More Related Videos

mirMachine: A One-Stop Shop for Plant miRNA Annotation
06:16

mirMachine: A One-Stop Shop for Plant miRNA Annotation

Published on: May 1, 2021

2.7K
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

7.6K

Related Experiment Videos

Last Updated: Oct 27, 2025

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

63
mirMachine: A One-Stop Shop for Plant miRNA Annotation
06:16

mirMachine: A One-Stop Shop for Plant miRNA Annotation

Published on: May 1, 2021

2.7K
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

7.6K

Area of Science:

  • Bioinformatics
  • Computational Biology
  • Genomics

Background:

  • Functional annotation of microRNAs (miRNAs) is crucial for biological research.
  • Pathway enrichment analysis is a common method for miRNA target annotation.
  • Existing methods may have limitations in accuracy and efficiency.

Purpose of the Study:

  • To introduce miRAnno, a novel web application for miRNA annotation.
  • To provide a fast and user-friendly tool for researchers.
  • To improve the accuracy of miRNA-pathway association analysis.

Main Methods:

  • Utilizes comprehensive molecular interaction networks.
  • Employs random walks with restart algorithms.
  • Measures association between miRNAs and biological pathways.

Main Results:

  • miRAnno demonstrates a higher signal-to-noise ratio compared to standard enrichment analysis.
  • The tool provides accurate and reliable miRNA annotation.
  • Validation confirms the effectiveness of the proposed methodology.

Conclusions:

  • miRAnno offers an advanced approach to miRNA functional annotation.
  • The web application is a valuable resource for miRNA research.
  • miRAnno enhances the understanding of miRNA functions in biological pathways.