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

siRNA - Small Interfering RNAs02:30

siRNA - Small Interfering RNAs

19.0K
Small interfering RNAs, or siRNAs, are short regulatory RNA molecules that can silence genes post-transcriptionally, as well as the transcriptional level in some cases. siRNAs are important for protecting cells against viral infections and silencing transposable genetic elements.
In the cytoplasm, siRNA is processed from a double-stranded RNA, which comes from either endogenous DNA transcription or exogenous sources like a virus. This double-stranded RNA is then cleaved by the...
19.0K
MicroRNAs01:22

MicroRNAs

4.2K
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...
4.2K
MicroRNAs01:22

MicroRNAs

24.5K
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...
24.5K

You might also read

Related Articles

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

Sort by
Same author

All-solid-state electrochromic devices based on ultra-thin Li<sub>3</sub>PO<sub>4</sub> electrolyte.

Chemical communications (Cambridge, England)·2026
Same author

A dual-interface load transfer model for precast concrete-cored cemented soil piles considering progressive damage.

PloS one·2026
Same author

Widely linear precoding with interference exploitation for improper signals in MU-MISO systems.

Scientific reports·2026
Same author

3D-printed target plates for high-throughput ambient mass spectrometry analysis of nanoliter biofluids.

Analytica chimica acta·2026
Same author

Molecular characterization and functional insights of secondary hair follicles across the cashmere growth cycle.

BMC genomics·2026
Same author

Vitiligo state assessment based on progressive transfer learning and multimodal domain adaptation.

Biomedical physics & engineering express·2026
Same journal

STED: flexible cross-modal topic modeling infers cell-type-specific regulatory landscapes from bulk epigenomics.

Briefings in bioinformatics·2026
Same journal

A knowledge-guided deep learning framework for quantitative nucleic acid testing.

Briefings in bioinformatics·2026
Same journal

Optimal transport for label transfer in single-cell multi-omics integration.

Briefings in bioinformatics·2026
Same journal

Continuous multi-omics pathway enrichment analysis resolves hidden functional heterogeneity.

Briefings in bioinformatics·2026
Same journal

Evaluating completeness, coherence, and consistency of genome-scale function annotations.

Briefings in bioinformatics·2026
Same journal

Transformers for single-cell RNA sequencing: a survey.

Briefings in bioinformatics·2026
See all related articles

Related Experiment Video

Updated: Mar 19, 2026

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

3.0K

Computational methods for identifying miRNA sponge interactions.

Thuc Duy Le1, Junpeng Zhang2, Lin Liu1

  • 1School of Information Technology and Mathematical Sciences, University of South Australia, Mawson Lakes, SA, 5095, Australia.

Briefings in Bioinformatics
|June 9, 2016
PubMed
Summary
This summary is machine-generated.

Competing endogenous RNAs (ceRNAs) interact via microRNAs (miRNAs), influencing gene regulation and diseases like cancer. This study reviews computational methods for identifying these miRNA sponge interactions.

Keywords:
cancerceRNAceRNA-ceRNA interactioncomputational methodmiRNAmiRNA sponge interaction

More Related Videos

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

488
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

14.7K

Related Experiment Videos

Last Updated: Mar 19, 2026

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

3.0K
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

488
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

14.7K

Area of Science:

  • Biochemistry
  • Genetics
  • Bioinformatics

Background:

  • MicroRNAs (miRNAs) interact with targets beyond coding genes, including other RNAs.
  • These competing endogenous RNAs (ceRNAs) regulate each other through miRNA titration, impacting cellular processes.
  • ceRNA cross-talk is implicated in various diseases, notably cancers.

Purpose of the Study:

  • To review existing databases and computational methods for identifying ceRNA-ceRNA interactions (miRNA sponge interactions).
  • To compare the performance of different computational methods using a breast cancer dataset.
  • To provide an overview of current advancements and identify challenges in computational ceRNA research.

Main Methods:

  • Literature review of public ceRNA interaction databases.
  • Systematic review of computational methods for identifying miRNA sponge interactions.
  • Comparative analysis of selected methods on a breast cancer dataset.

Main Results:

  • Identified and cataloged publicly available ceRNA interaction databases.
  • Evaluated the strengths and limitations of various computational approaches for ceRNA identification.
  • Presented a comparative performance analysis of methods on real-world data.

Conclusions:

  • Computational methods for identifying miRNA sponge interactions are rapidly evolving.
  • Further development is needed to enhance the accuracy and interpretability of ceRNA regulatory mechanisms.
  • This review offers a snapshot of the field and highlights future research directions.