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

3.2K
3.2K
lncRNA - Long Non-coding RNAs02:39

lncRNA - Long Non-coding RNAs

9.5K
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...
9.5K
RNA-seq03:21

RNA-seq

11.3K
RNA sequencing, or RNA-Seq, is a high-throughput sequencing technology used to study the transcriptome of a cell. Transcriptomics helps to interpret the functional elements of a genome and identify the molecular constituents of an organism. Additionally, it also helps in understanding the development of an organism and the occurrence of diseases. 
Before the discovery of RNA-seq, microarray-based methods and Sanger sequencing were used for transcriptome analysis. However, while...
11.3K
Types of RNA01:20

Types of RNA

8.4K
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...
8.4K
Types of RNA01:23

Types of RNA

71.4K
Overview
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 the regulation of 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...
71.4K
Ribosome Profiling02:24

Ribosome Profiling

3.9K
Ribosome profiling or ribo-sequencing is a deep sequencing technique that produces a snapshot of active translation in a cell. It selectively sequences the mRNAs protected by ribosomes to get an insight into a cell’s translation landscape at any given point in time.
Applications of ribosome profiling
Ribosome profiling has many applications, including in vivo monitoring of translation inside a particular organ or tissue type and quantifying new protein synthesis levels.
The technique...
3.9K

You might also read

Related Articles

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

Sort by
Same author

Exploratory study of electroencephalogram markers of responsiveness to surgical noxious stimuli under propofol anaesthesia.

BMC anesthesiology·2026
Same author

A neural mass modelling framework for evaluating EEG source localisation of seizure activity.

Journal of neural engineering·2026
Same author

Interictal Epileptiform Discharge Detection Through Probabilistic Diffusion Models with Maximization of Precision Recall Metrics.

International journal of neural systems·2026
Same author

Multi-omics applications in health and diseases.

Progress in molecular biology and translational science·2026
Same author

Structural Eigenmodes of the Brain to Improve the Source Localization of EEG: Application to Epileptiform Activity.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026
Same author

A comparative evaluation of handling missing data points and modalities in electronic health records.

International journal of medical informatics·2026

Related Experiment Video

Updated: Dec 3, 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

2.6K

Towards a comprehensive pipeline to identify and functionally annotate long noncoding RNA (lncRNA).

Yashpal Ramakrishnaiah1, Levin Kuhlmann2, Sonika Tyagi3

  • 1Faculty of Information Technology, Monash University, Clayton, VIC, 3800 Australia; School of Biological Science, Monash University, Clayton, VIC, 3800, Australia.

Computers in Biology and Medicine
|October 30, 2020
PubMed
Summary

This review details long noncoding RNAs (lncRNAs) in disease and cancer, highlighting data repositories and computational methods for their identification and functional annotation. Further research is needed to improve lncRNA analysis and accelerate discoveries.

Keywords:
ANNBioinformaticsEpigenomicsGene regulationMachine learningNoncoding RNAlncRNA

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

25.9K
RNA Next-Generation Sequencing and a Bioinformatics Pipeline to Identify Expressed LINE-1s at the Locus-Specific Level
11:04

RNA Next-Generation Sequencing and a Bioinformatics Pipeline to Identify Expressed LINE-1s at the Locus-Specific Level

Published on: May 19, 2019

10.3K

Related Experiment Videos

Last Updated: Dec 3, 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

2.6K
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

25.9K
RNA Next-Generation Sequencing and a Bioinformatics Pipeline to Identify Expressed LINE-1s at the Locus-Specific Level
11:04

RNA Next-Generation Sequencing and a Bioinformatics Pipeline to Identify Expressed LINE-1s at the Locus-Specific Level

Published on: May 19, 2019

10.3K

Area of Science:

  • Genomics
  • Molecular Biology
  • Bioinformatics

Background:

  • Long noncoding RNAs (lncRNAs) play crucial roles in gene regulation, impacting genetic diseases and cancer.
  • lncRNAs possess unique characteristics, functions, and mechanisms distinct from other RNA types.

Purpose of the Study:

  • To review prominent data repositories for lncRNAs, their interactomes, and disease associations.
  • To critically evaluate wet-lab and in silico methods for lncRNA identification and annotation.
  • To propose a roadmap for developing comprehensive computational pipelines for lncRNA annotation.

Main Methods:

  • Literature review of lncRNA data repositories.
  • Analysis of experimental (wet-lab) techniques for data generation.
  • Critical assessment of in silico methods for lncRNA identification.
  • Discussion of challenges and future directions in lncRNA functional annotation.

Main Results:

  • Identification of key data repositories for lncRNA information.
  • Evaluation of current methods for distinguishing lncRNAs from coding RNAs.
  • Highlighting functional annotation as a significant challenge in lncRNA research.

Conclusions:

  • Existing methods primarily focus on lncRNA transcript identification, with functional annotation remaining underdeveloped.
  • Improved computational pipelines are essential for comprehensive lncRNA annotation and advancing related research.
  • Further efforts are required to enhance the performance of in silico techniques for lncRNA analysis.