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-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 microarray-based...

Next-generation Sequencing

Next-generation Sequencing

The first human genome sequencing project cost $2.7 billion and was declared complete in 2003, after 15 years of international cooperation and collaboration between several research teams and funding agencies. Today, with the advent of next-generation sequencing technologies, the cost and time of sequencing a human genome have dropped over 100 fold.
Next-Generation Sequencing Methods
Although all next-generation methods use different technologies, they all share a set of standard features.

You might also read

Related Articles

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

Sort by

Same author

De novo antibody identification in human blood from full-length single B cell transcriptomics and matching haplotype-resolved germline assemblies.

Genome research·2025

Same author

Long-read RNA sequencing of archival tissues reveals novel genes and transcripts associated with clear cell renal cell carcinoma recurrence and immune evasion.

Genome research·2024

Same author

De novo antibody discovery in human blood from full-length single B cell transcriptomics and matching haplotyped-resolved germline assemblies.

bioRxiv : the preprint server for biology·2024

Same author

Evaluation of Frailty Measures and Short-term Outcomes After Lung Transplantation.

Chest·2023

Same author

FXR inhibition may protect from SARS-CoV-2 infection by reducing ACE2.

Nature·2022

Same author

Development and implementation of a customised rapid syndromic diagnostic test for severe pneumonia.

Wellcome open research·2022

Same journal

Correction to 'scSuperAnnotator: A platform for benchmarking comparison and visualizing automated cellular annotation methods for scRNA-seq data'.

Nucleic acids research·2026

Same journal

Correction to 'Differentiable partition function calculation for RNA'.

Nucleic acids research·2026

Same journal

Deployment of non-canonical splicing in tunicate genomes is mediated by divergent U2AF function and changing m6A modification in U1 and U6 snRNA.

Nucleic acids research·2026

Same journal

Bacillus subtilis DnaB forms multiple protein-protein interactions essential for DNA replication initiation.

Nucleic acids research·2026

Same journal

Multiple forms of protein-protein and DNA binding are exhibited by BrxC from the BREX phage restriction system.

Nucleic acids research·2026

Same journal

Biosynthesis of glycosylated 5-hydroxycytosine in the DNA of diverse viruses.

Nucleic acids research·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 19, 2026

Cost-Efficient Transcriptomic-Based Drug Screening

Cost-Efficient Transcriptomic-Based Drug Screening

Published on: February 23, 2024

A simple method for directional transcriptome sequencing using Illumina technology.

Nicholas J Croucher¹, Maria C Fookes, Timothy T Perkins

¹The Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge, Cambridgeshire CB10 1SA, UK.

Nucleic Acids Research

|October 10, 2009

Summary

This summary is machine-generated.

This study introduces a new method for analyzing bacterial and yeast transcriptomes using single-stranded cDNA sequencing. This robust technique accurately measures gene expression and aids in genome annotation for prokaryotes and eukaryotes.

More Related Videos

Single Read and Paired End mRNA-Seq Illumina Libraries from 10 Nanograms Total RNA

Single Read and Paired End mRNA-Seq Illumina Libraries from 10 Nanograms Total RNA

Published on: October 27, 2011

Identification of Footprints of RNA:Protein Complexes via RNA Immunoprecipitation in Tandem Followed by Sequencing (RIPiT-Seq)

Identification of Footprints of RNA:Protein Complexes via RNA Immunoprecipitation in Tandem Followed by Sequencing (RIPiT-Seq)

Published on: July 10, 2019

Related Experiment Videos

Last Updated: Jun 19, 2026

Cost-Efficient Transcriptomic-Based Drug Screening

Cost-Efficient Transcriptomic-Based Drug Screening

Published on: February 23, 2024

Single Read and Paired End mRNA-Seq Illumina Libraries from 10 Nanograms Total RNA

Single Read and Paired End mRNA-Seq Illumina Libraries from 10 Nanograms Total RNA

Published on: October 27, 2011

Identification of Footprints of RNA:Protein Complexes via RNA Immunoprecipitation in Tandem Followed by Sequencing (RIPiT-Seq)

Identification of Footprints of RNA:Protein Complexes via RNA Immunoprecipitation in Tandem Followed by Sequencing (RIPiT-Seq)

Published on: July 10, 2019

Area of Science:

Microbiology
Genomics
Molecular Biology

Background:

High-throughput sequencing of complementary DNA (cDNA) enables genome-wide eukaryotic transcription studies.
Bacterial cells exhibit high ribonuclease activity, complicating prokaryotic transcriptome analysis.
Existing methods often require extensive RNA manipulation, potentially introducing bias.

Purpose of the Study:

To develop a robust method for analyzing complete prokaryotic transcriptomes with minimal RNA manipulation.
To enable genome-wide transcription profiling in bacteria and yeast using single-stranded cDNA sequencing.
To provide a freely available protocol and analysis tools for broader scientific use.

Main Methods:

Utilized Illumina sequencing technology to analyze single-stranded (ss) cDNA.
Minimized RNA sample manipulation to counteract bacterial ribonuclease activity.
Developed associated data analysis programs for transcriptome profiling.

Main Results:

Successfully applied the ss-cDNA sequencing method to Salmonella bongori, Streptococcus pneumoniae, and Schizosaccharomyces pombe.
Generated data on both the direction and level of transcription across the genome.
Demonstrated a high correlation between ss-cDNA and double-stranded cDNA sequencing for gene expression quantification.

Conclusions:

The developed ss-cDNA sequencing method is robust and suitable for quantitative transcription studies in prokaryotes and eukaryotes.
This approach facilitates experimental validation of in silico genetic predictions and identification of novel transcripts.
The method serves as a valuable tool for genome annotation and gene expression analysis.