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

lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

8.7K
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...
8.7K
Nucleic Acid Structure01:25

Nucleic Acid Structure

6.3K
The pentose sugar in DNA is deoxyribose, while in RNA the pentose sugar is ribose. The difference between the sugars is the presence of the hydroxyl group on the ribose's second carbon and a hydrogen on the deoxyribose's second carbon. The phosphate residue attaches to the hydroxyl group of the 5′ carbon of one sugar and the hydroxyl group of the 3′ carbon of the sugar of the next nucleotide, which forms  a 5′ to 3′ phosphodiester linkage.
DNA Structure
DNA...
6.3K
Types of RNA01:20

Types of RNA

6.0K
Three main types of RNA are involved in protein synthesis: messenger RNA (mRNA), transfer RNA (tRNA), and ribosomal RNA (rRNA). These RNAs perform diverse functions and can be broadly classified as protein-coding or non-coding RNA. Non-coding RNAs play important roles in regulating gene expression in response to developmental and environmental changes. Non-coding RNAs in prokaryotes can be manipulated to develop more effective antibacterial drugs for human or animal use.
RNA Performs Diverse...
6.0K

You might also read

Related Articles

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

Sort by
Same author

Improved RNA-DNA interaction calling suggests RNA-based gene regulation of phenotypic transitions.

Nucleic acids research·2026
Same author

RNA•DNA:DNA Triplex Formation Modulates Individual Base Pair Stabilities in the DNA Target Duplex.

RNA (New York, N.Y.)·2026
Same author

Renox Reloaded: How Metabolic Reprogramming by the NADPH Oxidase Nox4 Promotes Salt-Sensitive Hypertension.

Hypertension (Dallas, Tex. : 1979)·2026
Same author

Endothelial ZBTB16: a molecular shield against cardiac aging.

European heart journal·2026
Same author

The transaminase-ω-amidase pathway senses oxidative stress to control glutamine metabolism and α-ketoglutarate levels in endothelial cells.

The EMBO journal·2025
Same author

Orphan receptor GPR153 facilitates vascular damage responses by modulating cAMP levels, YAP/TAZ signaling, and NF-κB activation.

Nature communications·2025
Same journal

An Optimized RT-qPCR Protocol for Comprehensive Analysis of microRNAs and mRNAs in <i>Mus musculus</i> Brain Tissues.

Non-coding RNA·2026
Same journal

Investigation of Long Non-Coding RNAs <i>H19</i> rs3741219, <i>MEG3</i> rs7158663, <i>POLR2E</i> rs3787016, and <i>ANRIL</i> rs10757274 with Breast Cancer Susceptibility and Clinicopathological Characteristics in a Mexican Population.

Non-coding RNA·2026
Same journal

Comprehensive lincRNA Transcriptome in Acute Myeloid Leukemia: Integrating Known and Newly Identified lincRNAs Across Pediatric and Adult Cohorts.

Non-coding RNA·2026
Same journal

Exploratory Machine Learning Analysis of circRNA-Derived Molecular Features in Autism Spectrum Disorder.

Non-coding RNA·2026
Same journal

Urinary Exosomal microRNAs as a Novel Approach to Study People with Multiple Sclerosis and Severe Gait Disability: A Preliminary Observation.

Non-coding RNA·2026
Same journal

Hnf1aos1 as a Metabolic Coordinator of Hepatic Lipid Homeostasis and Feedback Control.

Non-coding RNA·2026
See all related articles

Related Experiment Video

Updated: Aug 9, 2025

Identification of RNAs Engaged in Direct RNA-RNA Interaction with a Long Non-Coding RNA
07:24

Identification of RNAs Engaged in Direct RNA-RNA Interaction with a Long Non-Coding RNA

Published on: July 9, 2021

2.5K

Computational Methods to Study DNA:DNA:RNA Triplex Formation by lncRNAs.

Timothy Warwick1,2, Ralf P Brandes1,2, Matthias S Leisegang1,2

  • 1Institute for Cardiovascular Physiology, Goethe University, 60590 Frankfurt, Germany.

Non-Coding RNA
|February 24, 2023
PubMed
Summary
This summary is machine-generated.

Computational tools predict DNA:DNA:RNA triplexes formed by long non-coding RNAs (lncRNAs). These interactions are crucial for understanding lncRNA function and gene expression regulation.

Keywords:
DNA:DNA:RNA triplex formationDNA–RNA triplexinteraction of DNA and RNAlong non-coding RNAtriplex

More Related Videos

RNA Pull-down Procedure to Identify RNA Targets of a Long Non-coding RNA
09:36

RNA Pull-down Procedure to Identify RNA Targets of a Long Non-coding RNA

Published on: April 10, 2018

25.4K
Chromatin Isolation by RNA Purification ChIRP
11:09

Chromatin Isolation by RNA Purification ChIRP

Published on: March 25, 2012

86.6K

Related Experiment Videos

Last Updated: Aug 9, 2025

Identification of RNAs Engaged in Direct RNA-RNA Interaction with a Long Non-Coding RNA
07:24

Identification of RNAs Engaged in Direct RNA-RNA Interaction with a Long Non-Coding RNA

Published on: July 9, 2021

2.5K
RNA Pull-down Procedure to Identify RNA Targets of a Long Non-coding RNA
09:36

RNA Pull-down Procedure to Identify RNA Targets of a Long Non-coding RNA

Published on: April 10, 2018

25.4K
Chromatin Isolation by RNA Purification ChIRP
11:09

Chromatin Isolation by RNA Purification ChIRP

Published on: March 25, 2012

86.6K

Area of Science:

  • Molecular Biology
  • Genomics
  • Bioinformatics

Background:

  • Long non-coding RNAs (lncRNAs) regulate cellular functions through diverse mechanisms.
  • Nuclear interactions between lncRNAs and DNA, forming non-canonical nucleic acid structures like DNA:DNA:RNA triplexes, are significant.
  • Identifying specific lncRNA-DNA interactions within these triplexes is challenging but vital for understanding lncRNA roles.

Purpose of the Study:

  • To review recent advancements in computational methods for predicting DNA:DNA:RNA triplex formation.
  • To highlight key DNA:DNA:RNA triplexes and their biological relevance.
  • To discuss the application of prediction tools using experimentally validated lncRNAs.

Main Methods:

  • Review of existing literature on lncRNA-DNA interactions and triplex formation.
  • Discussion of various computational prediction tools: Triplexator, LongTarget, TRIPLEXES, Triplex Domain Finder, TriplexFFP, TriplexAligner, and Fasim-LongTarget.
  • Exemplification of tool usage with experimentally validated lncRNAs.

Main Results:

  • Several computational tools are available for predicting DNA:DNA:RNA triplexes.
  • These tools, when applied to lncRNAs, reveal a high likelihood of triplex formation.
  • Experimentally validated lncRNAs demonstrate the utility of these prediction methods.

Conclusions:

  • DNA:DNA:RNA triplexes are likely abundant in the genome.
  • These triplexes play a significant role in regulating gene expression.
  • Advancements in computational prediction are crucial for elucidating lncRNA functions.