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

RNA Structure01:23

RNA Structure

79.0K
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...
79.0K
RNA Structure01:19

RNA Structure

7.5K
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...
7.5K
Chromatin Structure and RNA Splicing02:41

Chromatin Structure and RNA Splicing

3.4K
3.4K
Compartment Models: Two-Compartment Model01:20

Compartment Models: Two-Compartment Model

7.1K
The two-compartment model divides the body into central and peripheral compartments to account for varying blood perfusion rates among organs and tissues, affecting drug distribution. The central compartment includes blood and highly perfused tissues with rapid drug distribution, while the peripheral compartment contains tissues with slower drug distribution. After a single IV bolus dose, the drug concentration is high in plasma and low in tissues. The drug distribution between compartments...
7.1K
Three-Compartment Open Model01:06

Three-Compartment Open Model

887
The three-compartment open model is a pharmacokinetic model used to describe the distribution and elimination of drugs following extravascular administration. It comprises a central compartment representing the plasma and two peripheral compartments. The highly perfused peripheral compartment represents organs and tissues with a rich blood supply, such as the liver, kidneys, and lungs. The scarcely perfused peripheral compartment represents tissues with lower blood supply, such as adipose...
887
Compartment Models: Single-Compartment Model01:14

Compartment Models: Single-Compartment Model

3.2K
The single-compartment model serves as a simplified representation of the human body. This model assumes that the body functions as a single, well-mixed open compartment. When a drug is administered intravenously, it enters the body and quickly distributes uniformly. The drug then undergoes biotransformation and elimination, ultimately leaving the body. The volume of this compartment is referred to as the apparent volume of distribution into which the drug can uniformly distribute. In this...
3.2K

You might also read

Related Articles

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

Sort by
Same author

Essential Contributions of Ribose and Nucleobases to the Nucleophilic Reactivity of RNA 2'-OH Groups.

Chemistry (Weinheim an der Bergstrasse, Germany)·2026
Same author

Deletion of Robo4 worsens neuroinflammation in a mouse model of Alzheimer's disease.

Physiological reports·2026
Same author

Correction to "DNA Content and DNA Damage in Raw and Heat-Processed Foods".

Journal of agricultural and food chemistry·2026
Same author

Accelerating scientific discovery with Co-Scientist.

Nature·2026
Same author

Accurate prediction of ecDNA in interphase cancer cells using deep neural networks.

Communications biology·2026
Same author

APEX-seq maps transcriptome-wide subcellular RNA localization in living cells.

Nature protocols·2026
Same journal

Publisher Correction: Interplay between cohesin and RNA polymerase II in regulating chromatin interactions and gene transcription.

Nature structural & molecular biology·2026
Same journal

An asymmetric non-canonical nucleosome shapes the directionality of transcription outcomes.

Nature structural & molecular biology·2026
Same journal

Structural insights into neurokinin 2 receptor selectivity hold implications for obesity therapeutics.

Nature structural & molecular biology·2026
Same journal

Genome-wide absolute quantification of chromatin looping.

Nature structural & molecular biology·2026
Same journal

Putting numbers on chromatin looping.

Nature structural & molecular biology·2026
Same journal

Transcriptional readthrough progresses from incidental byproduct to therapeutic opportunity.

Nature structural & molecular biology·2026
See all related articles

Related Experiment Video

Updated: Jan 27, 2026

Mapping RNA-RNA Interactions Globally Using Biotinylated Psoralen
11:32

Mapping RNA-RNA Interactions Globally Using Biotinylated Psoralen

Published on: May 24, 2017

12.6K

RNA structure maps across mammalian cellular compartments.

Lei Sun1,2,3,4, Furqan M Fazal5,6,7, Pan Li1,2,3,4

  • 1MOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, 100084, China.

Nature Structural & Molecular Biology
|March 20, 2019
PubMed
Summary
This summary is machine-generated.

Researchers mapped RNA secondary structures across cellular compartments, revealing their dynamic role in gene expression. This study identifies LIN28A as an N6-methyladenosine modification anti-reader, impacting RNA regulation.

More Related Videos

Mapping the Structure-Function Relationships of Disordered Oncogenic Transcription Factors Using Transcriptomic Analysis
09:58

Mapping the Structure-Function Relationships of Disordered Oncogenic Transcription Factors Using Transcriptomic Analysis

Published on: June 27, 2020

3.1K
Studying RNA Interactors of Protein Kinase RNA-Activated during the Mammalian Cell Cycle
10:05

Studying RNA Interactors of Protein Kinase RNA-Activated during the Mammalian Cell Cycle

Published on: March 5, 2019

6.9K

Related Experiment Videos

Last Updated: Jan 27, 2026

Mapping RNA-RNA Interactions Globally Using Biotinylated Psoralen
11:32

Mapping RNA-RNA Interactions Globally Using Biotinylated Psoralen

Published on: May 24, 2017

12.6K
Mapping the Structure-Function Relationships of Disordered Oncogenic Transcription Factors Using Transcriptomic Analysis
09:58

Mapping the Structure-Function Relationships of Disordered Oncogenic Transcription Factors Using Transcriptomic Analysis

Published on: June 27, 2020

3.1K
Studying RNA Interactors of Protein Kinase RNA-Activated during the Mammalian Cell Cycle
10:05

Studying RNA Interactors of Protein Kinase RNA-Activated during the Mammalian Cell Cycle

Published on: March 5, 2019

6.9K

Area of Science:

  • Molecular Biology
  • Genomics
  • Epigenetics

Background:

  • RNA secondary structure is crucial for gene expression regulation.
  • Previous methods lacked resolution to map RNA structures across cellular compartments.
  • Understanding RNA structuromes in distinct subcellular locations is vital for deciphering gene regulation.

Purpose of the Study:

  • To map and analyze RNA secondary structures (structuromes) within human and mouse cell compartments: chromatin, nucleoplasm, and cytoplasm.
  • To investigate the role of RNA structure in connecting transcription, translation, and RNA decay.
  • To develop a resource for visualizing RNA-protein interactions, RNA modifications, and their impact on RNA structure and function.

Main Methods:

  • Development of high-resolution techniques to map RNA structuromes across subcellular compartments.
  • Bioinformatic analysis to integrate RNA structure data with RNA-protein interactions and modifications.
  • Experimental validation of predicted RNA-protein interactions and roles in RNA modification reading.

Main Results:

  • Comprehensive maps of RNA structuromes in chromatin, nucleoplasm, and cytoplasm were generated.
  • Detailed insights into how RNA structure links transcription, translation, and RNA decay were obtained.
  • A novel function of the RNA-binding protein LIN28A as an N6-methyladenosine modification 'anti-reader' was validated.

Conclusions:

  • RNA structuromes are dynamic and vary across subcellular compartments, significantly influencing gene regulation.
  • The developed resource facilitates the study of RNA structure, modification, and protein interactions.
  • LIN28A's role as an 'anti-reader' highlights novel mechanisms in RNA modification-based gene regulation.