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...
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...
DNA Microarrays02:34

DNA Microarrays

Microarrays are high-throughput and relatively inexpensive assays that can be automated to analyze large quantities of data at a time. They are used in genome-wide studies to compare gene or protein expression under two varied conditions, such as healthy and diseased states. Microarrays consist of glass or silica slides on which probe molecules are covalently attached through surface functionalization. Most commonly, the slides are prepared through the chemisorption of silanes to silica...

You might also read

Related Articles

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

Sort by
Same author

Hyperglycemia and systemic inflammation differentially shape immune dysregulation, tissue destruction, and microbiota in experimental periodontitis and peri-implantitis in diabetic mice.

Frontiers in immunology·2026
Same author

Diabetes exacerbates experimental peri-implantitis in mice with elevated IL-17A-associated inflammation and IL-17F upregulation.

Scientific reports·2026
Same author

Pangenomes of the human oral microbiome.

Microbiology resource announcements·2026
Same author

Aging and periodontitis increase brain dissemination of oral bacteria.

Journal of periodontology·2026
Same author

Phase 1/2 randomized, observer-blind clinical trial of a first-generation, mRNA-based vaccine against seasonal influenza and COVID-19 in healthy adults.

Human vaccines & immunotherapeutics·2026
Same author

IgG4 Neutralization and Sustained Total IgG Fc-Effector Functions Following Repeated SARS-CoV-2 Vaccination with mRNA-1273.

Infectious diseases and therapy·2026

Related Experiment Video

Updated: Jun 5, 2026

Metabolic Labeling and Profiling of Transfer RNAs Using Macroarrays
10:56

Metabolic Labeling and Profiling of Transfer RNAs Using Macroarrays

Published on: January 16, 2018

Strand-specific transcriptome profiling with directly labeled RNA on genomic tiling microarrays.

Wen-Han Yu1, Hedda Høvik, Ingar Olsen

  • 1Department of Molecular Genetics, The Forsyth Institute, Cambridge, MA, USA.

BMC Molecular Biology
|January 18, 2011
PubMed
Summary

This study introduces a direct RNA labeling method for genomic tiling microarrays, bypassing cDNA synthesis to avoid artifactual signals and improve transcriptome profiling accuracy.

More Related Videos

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

Metabolic Labeling of Newly Transcribed RNA for High Resolution Gene Expression Profiling of RNA Synthesis, Processing and Decay in Cell Culture
11:00

Metabolic Labeling of Newly Transcribed RNA for High Resolution Gene Expression Profiling of RNA Synthesis, Processing and Decay in Cell Culture

Published on: August 8, 2013

Related Experiment Videos

Last Updated: Jun 5, 2026

Metabolic Labeling and Profiling of Transfer RNAs Using Macroarrays
10:56

Metabolic Labeling and Profiling of Transfer RNAs Using Macroarrays

Published on: January 16, 2018

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

Metabolic Labeling of Newly Transcribed RNA for High Resolution Gene Expression Profiling of RNA Synthesis, Processing and Decay in Cell Culture
11:00

Metabolic Labeling of Newly Transcribed RNA for High Resolution Gene Expression Profiling of RNA Synthesis, Processing and Decay in Cell Culture

Published on: August 8, 2013

Area of Science:

  • Microbiology
  • Genomics
  • Molecular Biology

Background:

  • Genomic tiling microarrays offer cost-effective transcriptome studies.
  • Conventional methods use reverse transcription, which can create artifactual antisense RNA signals.
  • Direct RNA labeling bypasses cDNA synthesis to improve accuracy.

Purpose of the Study:

  • To develop and apply a direct RNA labeling method for transcriptome profiling.
  • To eliminate artifactual signals caused by cDNA synthesis.
  • To enhance the accuracy and sensitivity of transcriptome mapping.

Main Methods:

  • Direct fluorescent labeling of RNA using an alkylation reagent.
  • Hybridization of labeled RNA to custom genomic tiling microarrays.
  • Strand-specific transcriptome profiling without cDNA conversion.

Main Results:

  • Direct RNA labeling produced accurate, strand-specific transcriptome profiles.
  • Artifactual antisense signals observed with cDNA methods were absent.
  • RT-PCR confirmed the absence of antisense RNA in the direct labeling results.

Conclusions:

  • A novel, efficient method for direct RNA labeling and transcriptome profiling was established.
  • The method provides accurate, artifact-free transcriptome maps for bacterial genomes.
  • This approach offers potential for increased sensitivity and reduced processing steps.