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

RNA Structure

RNA Structure

Overview
The basic structure of RNA consists of a five-carbon sugar and one of four nitrogenous bases. Although most RNA is single-stranded, it can form complex secondary and tertiary structures. Such structures play essential roles in the regulation of transcription and translation.
Different Types of RNA Have the Same Basic Structure
There are three main types of ribonucleic acid (RNA): messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). All three RNA types consist of a...

RNA Structure

RNA Structure

The basic structure of RNA consists of a string of ribonucleotides attached by phosphodiester bonds. Although most RNA is single-stranded, it can form complex secondary and tertiary structures. Such structures play essential roles in the regulation of transcription and translation.
Different Types of RNA Have the Same Basic Structure
There are three main types of ribonucleic acid (RNA) involved in protein synthesis: messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). All three...

Structural Protein Function

Structural Protein Function

Structural proteins are a category of proteins responsible for functions ranging from cell shape and movement to providing support to major structures such as bones, cartilage, hair, and muscles. This group includes proteins such as collagen, actin, myosin, and keratin.
Collagen, the most abundant protein in mammals, is found throughout the body. In connective tissue, such as skin, ligaments, and tendons, it provides tensile strength and elasticity. In bones and teeth, it mineralizes to...

Fruit Development, Structure, and Function

Fruit Development, Structure, and Function

Fruits form from a mature flower ovary. As seeds develop from the ovules contained within, the ovary wall undergoes a series of complex changes to form fruit. In some fruits, such as soybeans, the ovary wall dries; in other fruits, such as grapes, it remains fleshy. In some cases, organs other than the ovary contribute to fruit formation; such fruits are called accessory fruits.

Elements and Compounds

Elements and Compounds

Pure substances consist of only one type of matter. A pure substance can be an element or a compound. An element consists of only one type of atom, while a compound consists of two or more types of atoms held together by a chemical bond.
Elements
Elements are classified as atomic or molecular based on the nature of their basic units. They are unique forms of matter with specific chemical and physical properties that cannot break down into smaller substances by ordinary chemical reactions. There...

Chromatin Structure and RNA Splicing

Chromatin Structure and RNA Splicing

You might also read

Related Articles

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

Sort by

Same author

Nearest Neighbor Parameters for Estimating the Folding Stability of RNA Including Pseudouridine.

bioRxiv : the preprint server for biology·2026

Same author

Deep learning for RNA secondary structure determination: gauging generalizability and broadening the scope of traditional methods.

RNA (New York, N.Y.)·2026

Same author

Deep Learning for RNA Secondary Structure Determination: Gauging Generalizability and Broadening the Scope of Traditional Methods.

bioRxiv : the preprint server for biology·2025

Same author

Designer artificial environments for membrane protein synthesis.

Nature communications·2025

Same author

An Improved PDE6D Inhibitor Combines with Sildenafil To Inhibit <i>KRAS</i> Mutant Cancer Cell Growth.

Journal of medicinal chemistry·2024

Same author

Disease Progression, Resilience, and Inflammation Markers During the Coronavirus Disease 2019 Pandemic in Parkinson's Disease.

Movement disorders : official journal of the Movement Disorder Society·2022

Same journal

Integrated lipidomic and transcriptomic profiling of the host response in human malaria.

Genome biology·2026

Same journal

Centromeric satellite expansion drives genome evolution in the snowy owl.

Genome biology·2026

Same journal

Mapping the landscape of allele-specific expression in porcine genomes.

Genome biology·2026

Same journal

Genomic sequence evolution underlying human neocortical interareal diversification.

Genome biology·2026

Same journal

Regulatory mechanisms driven by functional 3'-UTR variants in alcohol use disorder and related traits.

Genome biology·2026

Same journal

A longitudinal single-nucleus transcriptomic atlas of bovine placentation reveals dynamic cellular hierarchies and regulatory programs.

Genome biology·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Feb 13, 2026

PAR-CliP - A Method to Identify Transcriptome-wide the Binding Sites of RNA Binding Proteins

PAR-CliP - A Method to Identify Transcriptome-wide the Binding Sites of RNA Binding Proteins

Published on: July 2, 2010

PATTERNA: transcriptome-wide search for functional RNA elements via structural data signatures.

Mirko Ledda^1,2, Sharon Aviran³

¹Department of Biomedical Engineering and Genome Center, UC Davis, 1 Shields Ave, Davis, 95616, USA.

|March 3, 2018

Summary

This summary is machine-generated.

This study introduces PATTERNA, a novel algorithm for identifying RNA structure motifs from high-throughput profiling data. PATTERNA offers an accurate and automated approach to understanding RNA structure and function.

Keywords:

Functional elements GMM-HMM Machine learning PARS Pattern recognition RNA structure RNA structure–function SHAPE Structure probing Transcriptome-wide profiling

More Related Videos

Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project

Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project

Published on: April 8, 2017

iCLIP - Transcriptome-wide Mapping of Protein-RNA Interactions with Individual Nucleotide Resolution

iCLIP - Transcriptome-wide Mapping of Protein-RNA Interactions with Individual Nucleotide Resolution

Published on: April 30, 2011

Related Experiment Videos

Last Updated: Feb 13, 2026

PAR-CliP - A Method to Identify Transcriptome-wide the Binding Sites of RNA Binding Proteins

PAR-CliP - A Method to Identify Transcriptome-wide the Binding Sites of RNA Binding Proteins

Published on: July 2, 2010

Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project

Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project

Published on: April 8, 2017

iCLIP - Transcriptome-wide Mapping of Protein-RNA Interactions with Individual Nucleotide Resolution

iCLIP - Transcriptome-wide Mapping of Protein-RNA Interactions with Individual Nucleotide Resolution

Published on: April 30, 2011

Area of Science:

RNA Biology
Bioinformatics
Computational Biology

Background:

Linking RNA structure to function is a key challenge in RNA biology.
High-throughput structure profiling experiments generate vast datasets for RNA structure analysis.
Existing methods lack principled approaches for direct information extraction from profiling data.

Purpose of the Study:

To develop an unsupervised pattern recognition algorithm for mining RNA structure motifs.
To enable automated extraction of structural information from RNA profiling data.
To facilitate data-directed RNA structure modeling.

Main Methods:

Development of PATTERNA, an unsupervised pattern recognition algorithm.
Application of PATTERNA to mine RNA structure motifs from profiling data.
Comparison of PATTERNA's motif detection accuracy with thermodynamic models.

Main Results:

PATTERNA rapidly mines RNA structure motifs from profiling data.
Motif detection accuracy is comparable to commonly used thermodynamic models.
PATTERNA automates data-directed structure modeling for large datasets.

Conclusions:

PATTERNA is a versatile algorithm for RNA structure motif discovery.
The algorithm is compatible with diverse profiling techniques and experimental conditions.
PATTERNA advances the ability to decipher RNA structure from experimental data.