Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

MicroRNAs

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...

MicroRNAs

MicroRNAs

MicroRNAs

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...

DNA Microarrays

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

Myc sustains sex-biased organ zonation in the Drosophila intestine.

Developmental cell·2026

Same author

Monocarboxylate transporter 2 regulates maintenance of myelin and axonal integrity by oligodendrocytes.

Nature communications·2026

Same author

A decade of progress towards the elimination of hepatitis C: From the National Strategic Plan to Artificial Intelligence.

Gastroenterologia y hepatologia·2026

Same author

Menopause age and hypercholesterolemia comorbidities: a region-wide retrospective cohort study in Andalusia, Spain (2016-2022).

BMJ open·2026

Same author

Integrated lipidome and miRNome analyses reveal sex-based differences in circulating extracellular vesicles of alcohol use disorder patients.

Cell biology and toxicology·2026

Same author

IMPaCT-Data: A Federated Precision Medicine Infrastructure Associated with Science and Technology in Spain.

Studies in health technology and informatics·2026

Same journal

Probabilistic RNA designability via interpretable ensemble approximation and dynamic decomposition.

Bioinformatics (Oxford, England)·2026

Same journal

Quantifying domain-specific relevance of computational biology Wikipedia articles using TF-IDF and cosine similarity.

Bioinformatics (Oxford, England)·2026

Same journal

GATSBI: improving context-aware protein embeddings through biologically motivated data splits.

Bioinformatics (Oxford, England)·2026

Same journal

BiMba: using Vision Mamba to predict protein sites that bind other proteins.

Bioinformatics (Oxford, England)·2026

Same journal

ProMeta: a meta-learning framework for robust disease diagnosis and prediction from plasma proteomics.

Bioinformatics (Oxford, England)·2026

Same journal

Is a Win-Win possible? Achieving pareto-optimal privacy-utility balance in fine-tuned genome language model embeddings against embedding reconstruction attacks.

Bioinformatics (Oxford, England)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Mar 19, 2026

Analysis of Combinatorial miRNA Treatments to Regulate Cell Cycle and Angiogenesis

Analysis of Combinatorial miRNA Treatments to Regulate Cell Cycle and Angiogenesis

Published on: March 30, 2019

Integrated gene set analysis for microRNA studies.

Francisco Garcia-Garcia¹, Joaquin Panadero², Joaquin Dopazo³

¹Computational Genomics Department, Centro de Investigacion Principe Felipe (CIPF), Valencia, Spain.

Bioinformatics (Oxford, England)

|June 22, 2016

Summary

This summary is machine-generated.

This study introduces a new method to interpret microRNA (miRNA) expression data by transferring miRNA evidence to gene inhibition scores. This approach improves the modeling of regulatory processes and provides comprehensive deregulation reports across 20 cancer types.

More Related Videos

Characterization of Functionally Associated miRNAs in Glioblastoma and their Engineering into Artificial Clusters for Gene Therapy

Characterization of Functionally Associated miRNAs in Glioblastoma and their Engineering into Artificial Clusters for Gene Therapy

Published on: October 4, 2019

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

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

Published on: January 7, 2019

Related Experiment Videos

Last Updated: Mar 19, 2026

Analysis of Combinatorial miRNA Treatments to Regulate Cell Cycle and Angiogenesis

Analysis of Combinatorial miRNA Treatments to Regulate Cell Cycle and Angiogenesis

Published on: March 30, 2019

Characterization of Functionally Associated miRNAs in Glioblastoma and their Engineering into Artificial Clusters for Gene Therapy

Characterization of Functionally Associated miRNAs in Glioblastoma and their Engineering into Artificial Clusters for Gene Therapy

Published on: October 4, 2019

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

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

Published on: January 7, 2019

Area of Science:

Bioinformatics
Computational Biology
Genomics

Background:

Current microRNA (miRNA) expression data analysis involves multiple steps with limitations at both gene and miRNA levels.
Existing methods struggle to accurately model complex regulatory interactions influenced by multiple miRNAs.

Purpose of the Study:

To develop an enhanced methodology for functional interpretation of miRNA expression data.
To improve the accuracy of modeling biological regulatory processes by accounting for miRNA-gene interactions.

Main Methods:

Proposed an enhanced methodology building on gene set analysis.
Transferred miRNA differential expression evidence to a gene differential inhibition score.
Accounted for additive effects of multiple miRNAs targeting a gene and cancellation effects between cases and controls.

Main Results:

Analyzed high-throughput sequencing data from 20 cancer types.
Generated comprehensive reports on gene and Gene Ontology (GO) term deregulation driven by miRNA activity.
The new methodology allows for more accurate modeling of regulatory processes.

Conclusions:

The enhanced methodology provides a more accurate approach to interpreting miRNA expression data.
The method improves the understanding of miRNA-mediated gene regulation in cancer.
The developed tool is available as an R package and associated scripts for reproducibility.