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...

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 helps...

You might also read

Related Articles

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

Sort by

Same author

Reduced Mechanical Tactile Stimulation Under Space Microgravity Affects Synaptic Signaling and Contributes to Neuromuscular Aging in Caenorhabditis elegans.

FASEB journal : official publication of the Federation of American Societies for Experimental Biology·2026

Same author

Defining Microbiome Impact on Host Physiology During Spaceflight Using Caenorhabditis elegans.

Methods in molecular biology (Clifton, N.J.)·2026

Same author

MAPK/PMK-1 innate immune signaling protects the nematode Caenorhabditis elegans from increased intestinal colonization in an animal host-pathogen model in space.

NPJ microgravity·2026

Same author

Transcriptomic insights into arabinogalactan protein mechanism of action in galactosyltransferase octuple mutants.

Frontiers in plant science·2026

Same author

Comparative multi-omics in female mice reveals tissue-specific vulnerabilities to chronic alcohol intake.

Alcohol, clinical & experimental research·2026

Same author

Chronic alcohol intake elicits distinct multi-omic profiles in the liver <i>versus</i> skeletal muscle of mice.

bioRxiv : the preprint server for biology·2025

Same journal

Tracking Synthetic Adhesins on Bacterial Surfaces with Immunofluorescence Microscopy.

Methods in molecular biology (Clifton, N.J.)·2026

Same journal

Post-Selection Methods for Analyzing mRNA Display Selections and Optimization of Hits.

Methods in molecular biology (Clifton, N.J.)·2026

Same journal

High-Performance Computing in Tandem Mass Spectrometry (MS/MS) Peptide Identification.

Methods in molecular biology (Clifton, N.J.)·2026

Same journal

Engineering and Adapting Disulfide-Containing Proteins to Enable Intracellular Functionality.

Methods in molecular biology (Clifton, N.J.)·2026

Same journal

AI-Driven Protein Research: From Prediction to Design.

Methods in molecular biology (Clifton, N.J.)·2026

Same journal

Methods for the In Vitro Selection of Protein and Peptide Libraries Using mRNA Display.

Methods in molecular biology (Clifton, N.J.)·2026

See all related articles

Search research articles

Related Experiment Video

Updated: May 20, 2026

Rup (RNA-seq Usability Assessment Pipeline) - Quality Control for Bulk RNA-seq Experiments in Eukaryotes

Rup (RNA-seq Usability Assessment Pipeline) - Quality Control for Bulk RNA-seq Experiments in Eukaryotes

Published on: November 7, 2025

Transcriptomics in Space: A Basic R Pipeline for Analyzing Bulk RNA-Sequencing Data.

Gbolaga O Olanrewaju^1,2, Nathaniel J Szewczyk^1,2, Craig R G Willis³

¹Department of Biomedical Sciences, Heritage College of Osteopathic Medicine, Ohio University, Athens, OH, USA.

Methods in Molecular Biology (Clifton, N.J.)

|May 18, 2026

Summary

This summary is machine-generated.

Analyzing spaceflight

Keywords:

Bioinformatics Omics R RNA-seq RStudio Spaceflight Transcriptomics

More Related Videos

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

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: May 20, 2026

Rup (RNA-seq Usability Assessment Pipeline) - Quality Control for Bulk RNA-seq Experiments in Eukaryotes

Rup (RNA-seq Usability Assessment Pipeline) - Quality Control for Bulk RNA-seq Experiments in Eukaryotes

Published on: November 7, 2025

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

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

Published on: April 8, 2017

Area of Science:

Space life sciences
Big data biology
Transcriptomics

Background:

Spaceflight research generates large-scale omics data.
Understanding health decline in space is crucial.
Transcriptomics offers insights into spaceflight maladaptation.

Purpose of the Study:

To present a basic pipeline for analyzing bulk RNA-sequencing data.
To demonstrate the pipeline using real spaceflight experiment data.
To provide a reusable R code script for transcriptomics analysis.

Main Methods:

Utilized bulk RNA-sequencing data from a spaceflight experiment.
Developed and applied an R-based analysis pipeline.
Leveraged R, a programming tool for transcriptomics.

Main Results:

The pipeline successfully analyzes bulk RNA-sequencing data.
Demonstrated transcriptome-wide dysregulation in spaceflight.
Provided a functional code script for transcriptomics analysis.

Conclusions:

Bulk RNA-sequencing is a powerful tool for spaceflight research.
The provided pipeline facilitates transcriptomics data analysis.
This resource aids in understanding spaceflight-induced biological changes.