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 Experiment Videos

Human MicroRNA targets.

Bino John1, Anton J Enright, Alexei Aravin

  • 1Computational Biology Center, Memorial Sloan-Kettering Cancer Center, New York, New York, USA.

Plos Biology
|October 27, 2004
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

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

Sort by
Same author

High-throughput machine learning-aided antibody discovery for cell surface antigens.

Cell systems·2026
Same author

In silico discovery of nanobody binders to a G-protein coupled receptor using AlphaFold-Multimer.

Nature communications·2026
Same author

Determinants of metal import and specificity in a bacterial transporter.

bioRxiv : the preprint server for biology·2026
Same author

PymiRa: A rapid and accurate classification tool for small non-coding RNAs, including microRNAs.

PLoS computational biology·2026
Same author

The 2025 Westlake Autumn Symposium for Al Proteomics and Virtual Cell.

Genomics, proteomics & bioinformatics·2026
Same author

Machine learning enables efficient and effective affinity maturation of nanobodies.

bioRxiv : the preprint server for biology·2026
Same journal

The cell cloud: Adopting systems biology concepts in the era of single-cell immunology.

PLoS biology·2026
Same journal

Disinhibitory signaling enables flexible coding of top-down information in cortical networks.

PLoS biology·2026
Same journal

Correction: Cdc42 interacts with chaperone Ydj1 to enhance its stability and partitioning during asymmetric cell division and aging in yeast.

PLoS biology·2026
Same journal

Towards globally equitable bioinformatics adoption.

PLoS biology·2026
Same journal

The human claustrum supports cognitive networks for externally and internally driven task demands.

PLoS biology·2026
Same journal

Unusual decay: Recombination loss leads to splicing errors in green algae.

PLoS biology·2026
See all related articles

This study predicts microRNA (miRNA) targets in human genes, identifying conserved targets across species. These findings reveal miRNAs regulate a significant portion of human gene expression, impacting protein production.

Area of Science:

  • Genetics
  • Molecular Biology
  • Bioinformatics

Background:

  • MicroRNAs (miRNAs) are small non-coding RNAs that regulate gene expression post-transcriptionally.
  • The precise functions and targets of most mammalian miRNAs remain largely uncharacterized.
  • Understanding miRNA-target interactions is crucial for deciphering gene regulatory networks.

Purpose of the Study:

  • To predict and identify conserved microRNA target sites in human gene transcripts.
  • To facilitate focused experimental validation of microRNA functions.
  • To explore the broader implications of miRNA regulation on protein production.

Main Methods:

  • Development and application of a prediction algorithm optimizing sequence complementarity with position-specific rules.

Related Experiment Videos

  • Utilizing strict requirements for interspecies conservation (mammals and fish) to identify reliable targets.
  • Leveraging experimental validation through known targets and enrichment analysis with fragile X mental retardation protein-associated mRNAs.

    • Main Results:

    • Prediction of approximately 2,000 human genes with conserved miRNA target sites across mammals.
    • Identification of around 250 human genes with conserved targets between mammals and fish.
    • Enrichment analysis confirmed predicted targets, particularly those associated with translational regulation and the ubiquitin machinery.

    Conclusions:

    • MicroRNA genes, constituting about 1% of the human genome, regulate protein production for at least 10% of all human genes.
    • Predicted targets highlight novel feedback loops in gene regulation involving transcription factors and miRNA machinery components.
    • The study provides a valuable resource for miRNA research, including open-source software (miRanda) and detailed target information.