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

Ribosome Profiling

Ribosome Profiling

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...

RNA-seq

RNA-seq

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...

Leaky Scanning

Leaky Scanning

During most eukaryotic translation processes, the small 40S ribosome subunit scans an mRNA from its 5' end until it encounters the first start AUG codon. The large 60S ribosomal subunit then joins the smaller one to initiate protein synthesis. The location of the translation initiation is largely determined by the nucleotides near the start codon as there may be multiple translation initiation sites present on the mRNA. Marilyn Kozak discovered that the sequence RCCAUGG (where R...

You might also read

Related Articles

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

Sort by

Same author

Growth-dependent tRNA Reprogramming and Codon Bias Link Translation to Metabolic State in <i>Enterococcus faecalis</i>.

bioRxiv : the preprint server for biology·2026

Same author

Gel-free library preparation for next-generation RNA sequencing and small RNA quantification.

Communications biology·2026

Same author

Enterohemorrhagic <i>Escherichia coli</i> O157:H7 responds to norepinephrine gradients by tRNA reprogramming and codon-biased translation of virulence genes.

mSystems·2026

Same author

tRNA modification landscapes in streptococci: shared losses and clade-specific adaptations.

Open biology·2026

Same author

Novel Modification Sites of dPreQ<sub>0</sub> in <i>Aminobacter niigataensis</i> Phage Erebus Provide New Insights into the Role of 7-Deazaguanine Modifications in Bacteriophages.

PHAGE (New Rochelle, N.Y.)·2026

Same author

Synonymous codon usage defines functional gene families.

BMC biology·2026

Search research articles

Related Experiment Video

Updated: Nov 5, 2025

Exploring m6A and m5C Epitranscriptomes upon Viral Infection: an Example with HIV

Exploring m6A and m5C Epitranscriptomes upon Viral Infection: an Example with HIV

Published on: March 5, 2022

Detecting the epitranscriptome.

Anwesha Sarkar^1,2, William Gasperi^1,2, Ulrike Begley^1,2

¹Department of Biological Sciences, University at Albany, Albany, New York, USA.

Wiley Interdisciplinary Reviews. RNA

|May 14, 2021

Summary

This summary is machine-generated.

Epitranscriptomic marks regulate gene expression but are challenging to detect. New sequencing and mass spectrometry methods offer potential for disease biomarker discovery.

Keywords:

RNA modification detection epitranscriptomics human disease

More Related Videos

In Vitro Selection of Engineered Transcriptional Repressors for Targeted Epigenetic Silencing

In Vitro Selection of Engineered Transcriptional Repressors for Targeted Epigenetic Silencing

Published on: May 5, 2023

Methylated RNA Immunoprecipitation Assay to Study m5C Modification in Arabidopsis

Methylated RNA Immunoprecipitation Assay to Study m5C Modification in Arabidopsis

Published on: May 14, 2020

Related Experiment Videos

Last Updated: Nov 5, 2025

Exploring m6A and m5C Epitranscriptomes upon Viral Infection: an Example with HIV

Exploring m6A and m5C Epitranscriptomes upon Viral Infection: an Example with HIV

Published on: March 5, 2022

In Vitro Selection of Engineered Transcriptional Repressors for Targeted Epigenetic Silencing

In Vitro Selection of Engineered Transcriptional Repressors for Targeted Epigenetic Silencing

Published on: May 5, 2023

Methylated RNA Immunoprecipitation Assay to Study m5C Modification in Arabidopsis

Methylated RNA Immunoprecipitation Assay to Study m5C Modification in Arabidopsis

Published on: May 14, 2020

Area of Science:

Molecular Biology
Genomics
Biochemistry

Background:

RNA modifications and epitranscriptomic enzymes control gene expression.
Dysregulated epitranscriptomics are implicated in diseases like cancer and neurological disorders.
Detecting RNA modifications is technically challenging.

Purpose of the Study:

To review current methods for detecting and quantifying RNA modifications.
To explore the potential of epitranscriptomic analysis in disease biomarker discovery.
To highlight the role of epitranscriptomics in RNA structure, processing, and disease.

Main Methods:

Next-generation sequencing (NGS)-based approaches.
Mass spectrometry-based techniques.
Integration of chemical, antibody, or enzymatic methodologies with sequencing and mass spectrometry.

Main Results:

Identification and quantification of individual and collective RNA modifications.
Mapping of modifications within specific sequence contexts.
Demonstration of RNA modification dynamics and epitranscriptome.
Established links between altered epitranscriptomics and various diseases.

Conclusions:

Epitranscriptomic analysis is advancing beyond basic research.
Detection methodologies have potential for identifying human conditions and diseases.
Further development of detection techniques is crucial for clinical applications.