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...

You might also read

Related Articles

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

Sort by

Same author

Molecular cues from distinct neuron classes drive differential myelination in the neocortex.

Developmental cell·2026

Same author

Cell-state mapping reveals a reversible neuroblast accumulation in the aging mouse hippocampus.

bioRxiv : the preprint server for biology·2026

Same author

Pyramidal neurons proportionately alter cortical interneuron subtypes.

Nature·2026

Same author

Audiovisual gamma stimulation restores hippocampal neurogenesis and neural circuit plasticity in aging mice.

Molecular psychiatry·2025

Same author

Induction of menstruation in mice reveals the regulation of menstrual shedding.

bioRxiv : the preprint server for biology·2025

Same author

Neuronal activity-dependent gene expression is stimulus-specific and changes with neuronal maturation.

Frontiers in molecular neuroscience·2025

Search research articles

Related Experiment Video

Updated: Jun 21, 2026

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms

Published on: May 9, 2017

scX: a user-friendly tool for scRNAseq exploration.

Tomás V Waichman¹, M L Vercesi¹, Ariel A Berardino^1,2

¹Integrative Systems Biology Lab, Leloir Institute, Buenos Aires, CP1405, Argentina.

Bioinformatics Advances

|May 23, 2024

Summary

scX is a new R package that simplifies single-cell RNA sequencing (scRNAseq) data analysis and visualization. This user-friendly tool offers interactive exploration and key analyses for scRNAseq experiments.

More Related Videos

High-throughput Identification of Gene Regulatory Sequences Using Next-generation Sequencing of Circular Chromosome Conformation Capture 4C-seq

High-throughput Identification of Gene Regulatory Sequences Using Next-generation Sequencing of Circular Chromosome Conformation Capture 4C-seq

Published on: October 5, 2018

Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance

Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance

Published on: December 13, 2024

Related Experiment Videos

Last Updated: Jun 21, 2026

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms

Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved Non-model Organisms

Published on: May 9, 2017

High-throughput Identification of Gene Regulatory Sequences Using Next-generation Sequencing of Circular Chromosome Conformation Capture 4C-seq

High-throughput Identification of Gene Regulatory Sequences Using Next-generation Sequencing of Circular Chromosome Conformation Capture 4C-seq

Published on: October 5, 2018

Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance

Author Spotlight: Investigating the Role of Repetitive DNA Misregulation in Cancer Initiation and Immunotherapy Resistance

Published on: December 13, 2024

Area of Science:

Genomics
Bioinformatics
Computational Biology

Background:

Single-cell RNA sequencing (scRNAseq) provides unprecedented insights into biological systems.
Analyzing and interpreting scRNAseq data requires specialized expertise and can be complex.

Purpose of the Study:

To introduce scX, an R package designed to streamline scRNAseq data analysis, exploration, and visualization.
To provide an accessible and user-friendly tool for researchers working with single-cell data.

Main Methods:

Development of scX as an R package utilizing the Shiny framework.
Implementation of an interactive web application interface for scX.
Integration of scX with popular single-cell data objects (Seurat and SingleCellExperiment).

Main Results:

scX offers easy access to key scRNAseq analyses, including marker identification, gene expression profiling, and differential gene expression.
The package facilitates efficient processing and visualization of diverse single-cell datasets.
scX provides a user-friendly graphical interface for exploring and sharing scRNAseq data.

Conclusions:

scX simplifies complex scRNAseq analysis, making it more accessible to a wider range of researchers.
The tool enhances the exploration and sharing of single-cell experimental results.
scX serves as a valuable resource for the single-cell genomics community.