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-seq03:21

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 Sequencing03:00

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.
Ribosome Profiling02:24

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 helps...
Genomics02:02

Genomics

Genomics is the science of genomes: it is the study of all the genetic material of an organism. In humans, the genome consists of information carried in 23 pairs of chromosomes in the nucleus, as well as mitochondrial DNA. In genomics, both coding and non-coding DNA is sequenced and analyzed. Genomics allows a better understanding of all living things, their evolution, and their diversity. It has a myriad of uses: for example, to build phylogenetic trees, to improve productivity and...
Genome Annotation and Assembly03:36

Genome Annotation and Assembly

The genome refers to all of the genetic material in an organism. It can range from a few million base pairs in microbial cells to several billion base pairs in many eukaryotic organisms. Genome assembly refers to the process of taking the DNA sequencing data and putting it all back together in a correct order to create a close representation of the original genome. This is followed by the identification of functional elements on the newly assembled genome, a process called genome annotation.

You might also read

Related Articles

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

Sort by
Same author

EpiATLAS - a reference for human epigenomic research.

bioRxiv : the preprint server for biology·2026
Same author

Bridging Simplicity and Depth in Single-Cell Proteomics: A Cost-Effective Workflow and an Expanded Framework for Data Evaluation.

Journal of proteome research·2026
Same author

Single-cell analysis of matched FFPE and frozen tissue samples reveals comparable resolution of intratumoural heterogeneity.

Frontiers in genetics·2026
Same author

Proteotranscriptomic classification and characterization of pancreatic neuroendocrine neoplasms.

Cell reports·2026
Same author

mTOR Inhibition in the Management of Recurrent Metastatic Solid Pseudopapillary Tumor of the Pancreas.

Pediatric blood & cancer·2025
Same author

Validation of a Modular Gene Expression Assay for Risk Stratification and Subtyping Lymphomas.

The Journal of molecular diagnostics : JMD·2025

Related Experiment Video

Updated: Jun 20, 2026

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations
11:52

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations

Published on: August 4, 2016

Applications of new sequencing technologies for transcriptome analysis.

Olena Morozova1, Martin Hirst, Marco A Marra

  • 1BC Cancer Agency, Genome Sciences Center, Vancouver, BC V5Z 4S6, Canada. omorozova@bcgsc.ca

Annual Review of Genomics and Human Genetics
|September 1, 2009
PubMed
Summary
This summary is machine-generated.

Transcriptome analysis has evolved from Northern blotting to microarrays and now next-generation sequencing. This progression offers deeper, single-base resolution insights into cellular transcriptomes.

More Related Videos

Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models
09:58

Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models

Published on: December 9, 2016

Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project
10:19

Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project

Published on: April 8, 2017

Related Experiment Videos

Last Updated: Jun 20, 2026

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations
11:52

Targeted RNA Sequencing Assay to Characterize Gene Expression and Genomic Alterations

Published on: August 4, 2016

Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models
09:58

Using RNA-sequencing to Detect Novel Splice Variants Related to Drug Resistance in In Vitro Cancer Models

Published on: December 9, 2016

Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project
10:19

Transcriptomic Analysis of C. elegans RNA Sequencing Data Through the Tuxedo Suite on the Galaxy Project

Published on: April 8, 2017

Area of Science:

  • Molecular Biology
  • Genomics
  • Bioinformatics

Background:

  • Transcriptome analysis is crucial for understanding gene expression.
  • Early methods like Northern blotting were limited.
  • Microarrays enabled high-throughput profiling.

Purpose of the Study:

  • To review the evolution of transcriptome analysis.
  • To highlight the impact of next-generation sequencing (NGS).
  • To emphasize the advancements in cellular transcriptome examination.

Main Methods:

  • Historical review of transcriptomic techniques.
  • Discussion of microarray technology.
  • Focus on next-generation sequencing (NGS) applications.

Main Results:

  • Significant technological advancements in RNA detection and profiling.
  • NGS provides unprecedented single-base resolution.
  • Enables multidimensional analysis of transcriptomes.

Conclusions:

  • NGS has revolutionized transcriptomics.
  • Current technologies allow for comprehensive cellular transcriptome analysis.
  • Future research benefits from high-throughput, high-resolution data.