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...

lncRNA - Long Non-coding RNAs

lncRNA - Long Non-coding RNAs

In humans, more than 80% of the genome gets transcribed. However, only around 2% of the genome codes for proteins. The remaining part produces non-coding RNAs which includes ribosomal RNAs, transfer RNAs, telomerase RNAs, and regulatory RNAs, among other types. A large number of regulatory non-coding RNAs have been classified into two groups depending upon their length – small non-coding RNAs, such as microRNA, which are less than 200 nucleotides in length, and long non-coding RNA...

You might also read

Related Articles

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

Sort by

Same author

Exploring the Role of the Laforin/Malin Complex in Rubicon-Dependent Phagocytosis.

International journal of molecular sciences·2026

Same author

Health Outcomes of Patients with Distal Urea Cycle Disorders Detected by Newborn Screening: Data from the Spanish National Registry.

International journal of neonatal screening·2026

Same author

Correction: An integrative approach to identify novel miRNA-mRNA interaction networks in LMNA-cardiomyopathy.

Scientific reports·2026

Same author

Plasma CA125 as a Prognostic Marker in Very Elderly Patients Hospitalized for Acute Heart Failure.

Journal of clinical medicine·2026

Same author

In-Person vs. Virtual: A Comparative Study of Teaching Methods in Nutritional Medicine.

Nutrients·2026

Same author

Expanding the genetic landscape of inherited metabolic diseases using long-read sequencing and transcriptomic profiling.

European journal of human genetics : EJHG·2026

Search research articles

Related Experiment Video

Updated: Jul 1, 2025

Detection of miRNA Targets in High-throughput Using the 3'LIFE Assay

Detection of miRNA Targets in High-throughput Using the 3'LIFE Assay

Published on: May 25, 2015

Exploring miRNA-target gene pair detection in disease with coRmiT.

Jose Cordoba-Caballero^1,2, James R Perkins^1,3, Federico García-Criado¹

¹Departamento de Biología Molecular y Bioquímica, Facultad de Ciencias, Universidad de Málaga, Bulevar Louis Pasteur, 31, Málaga, 29010, Spain.

Briefings in Bioinformatics

|March 4, 2024

Summary

Detecting microRNA-target gene pairs (mTPs) requires careful strategy selection. This study proposes an integrated approach, combining multiple detection methods for robust results in rare disease research.

Keywords:

RNA-Seq correlation genetic disease miRNA odds ratio target

More Related Videos

Genome-wide Screen for miRNA Targets Using the MISSION Target ID Library

Genome-wide Screen for miRNA Targets Using the MISSION Target ID Library

Published on: April 6, 2012

Biotin-based Pulldown Assay to Validate mRNA Targets of Cellular miRNAs

Biotin-based Pulldown Assay to Validate mRNA Targets of Cellular miRNAs

Published on: June 12, 2018

Related Experiment Videos

Last Updated: Jul 1, 2025

Detection of miRNA Targets in High-throughput Using the 3'LIFE Assay

Detection of miRNA Targets in High-throughput Using the 3'LIFE Assay

Published on: May 25, 2015

Genome-wide Screen for miRNA Targets Using the MISSION Target ID Library

Genome-wide Screen for miRNA Targets Using the MISSION Target ID Library

Published on: April 6, 2012

Biotin-based Pulldown Assay to Validate mRNA Targets of Cellular miRNAs

Biotin-based Pulldown Assay to Validate mRNA Targets of Cellular miRNAs

Published on: June 12, 2018

Area of Science:

Genomics
Bioinformatics
Computational Biology

Background:

Identifying microRNA-target gene pairs (mTPs) is crucial for understanding gene regulation.
Existing methods for mTP detection from expression data lack a universally optimal strategy.
Rare diseases present unique challenges for mTP identification due to limited sample sizes.

Purpose of the Study:

To evaluate multiple strategies for detecting mTPs in rare disease datasets.
To develop and validate an integrated approach for optimal mTP detection.
To provide a robust computational tool for miRNA analysis.

Main Methods:

Applied multiple mTP detection strategies to three rare disease datasets (smallRNA-Seq and RNA-Seq).
Utilized the DEG_workflow and coRmiT for standardized preprocessing and strategy comparison.
Investigated overlap with known mTPs from 11 databases.
Developed a selection-integration method based on the highest odds ratio per miRNA.

Main Results:

No single mTP detection strategy proved superior across all datasets.
The proposed selection-integration method demonstrated robustness against variations in mTP databases.
The integrated approach yielded reliable mTPs associated with disease pathology.

Conclusions:

An integrated strategy, combining multiple detection methods, is recommended for robust mTP identification.
The developed method offers a reliable solution for miRNA analysis in rare disease research.
coRmiT within ExpHunterSuite provides a valuable tool for comparative mTP detection.