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...

You might also read

Related Articles

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

Sort by
Same author

Machine learning-enabled microalgal bioprocesses for sustainable biofuel production: a comprehensive review.

Preparative biochemistry & biotechnology·2026
Same author

Effect of Orthodontic Tooth Movement on Pulp Vitality in Previously Traumatized Teeth: A Prospective Cohort Study.

Cureus·2026
Same author

TCF4 trinucleotide repeat expansion drives distinct proteomic signatures in Fuchs endothelial corneal dystrophy.

Scientific reports·2026
Same author

Unveiling crosstalk between abiotic and biotic stress responses in soybean (Glycine max) using integrative RNA-Seq meta-analysis.

Molecular genetics and genomics : MGG·2025
Same author

Beyond traditional cosmetics: exploring endophytic fungal-derived tyrosinase inhibitors.

Critical reviews in biotechnology·2025
Same author

Linking ABO blood group with angle's classification and malocclusion severity in orthodontic patients: A cross-sectional study.

Bioinformation·2025

Related Experiment Video

Updated: Jul 1, 2026

Dissociation of Human and Mouse Tumor Tissue Samples for Single-cell RNA Sequencing
05:58

Dissociation of Human and Mouse Tumor Tissue Samples for Single-cell RNA Sequencing

Published on: August 16, 2024

Integrating single-cell RNA sequencing with multi-omics to decode disease microenvironments.

Arti Devi1, Vaibhav Pathak1, Vagish Dwibedi2

  • 1Department of Biotechnology, University Institute of Biotechnology, Chandigarh University, Mohali, 140413, India.

Molecular Biology Reports
|June 30, 2026
PubMed
Summary

Single-cell RNA sequencing (scRNA-seq) reveals cellular heterogeneity in development and disease. Integrating scRNA-seq with multi-omics and AI decodes complex cellular interactions and disease microenvironments.

Keywords:
Cellular heterogeneityImmunologyNeurological disordersOncologySingle-cell RNA sequencing (scRNA-seq)Transcriptomics

More Related Videos

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq
06:24

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq

Published on: March 12, 2021

Isolation of Region-specific Microglia from One Adult Mouse Brain Hemisphere for Deep Single-cell RNA Sequencing
09:49

Isolation of Region-specific Microglia from One Adult Mouse Brain Hemisphere for Deep Single-cell RNA Sequencing

Published on: December 3, 2019

Related Experiment Videos

Last Updated: Jul 1, 2026

Dissociation of Human and Mouse Tumor Tissue Samples for Single-cell RNA Sequencing
05:58

Dissociation of Human and Mouse Tumor Tissue Samples for Single-cell RNA Sequencing

Published on: August 16, 2024

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq
06:24

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq

Published on: March 12, 2021

Isolation of Region-specific Microglia from One Adult Mouse Brain Hemisphere for Deep Single-cell RNA Sequencing
09:49

Isolation of Region-specific Microglia from One Adult Mouse Brain Hemisphere for Deep Single-cell RNA Sequencing

Published on: December 3, 2019

Area of Science:

  • Genomics and Molecular Biology
  • Computational Biology
  • Biomedical Research

Background:

  • Cellular heterogeneity is crucial for human development and disease, but traditional bulk RNA sequencing masks individual cell differences.
  • Single-cell RNA sequencing (scRNA-seq) offers high-resolution transcriptomic profiling of individual cells, overcoming bulk sequencing limitations.
  • Platforms like 10x Genomics have enabled large-scale single-cell studies.

Purpose of the Study:

  • To review the advancements in single-cell RNA sequencing (scRNA-seq) technologies.
  • To highlight the integration of scRNA-seq with multi-omics approaches.
  • To discuss the application of artificial intelligence in analyzing single-cell data for disease research.

Main Methods:

  • Single-cell RNA sequencing (scRNA-seq) for high-resolution transcriptomic profiling.
  • Integration of scRNA-seq with multi-omics (epigenomics, spatial, temporal).
  • Application of artificial intelligence (deep learning, graph-based models) for data analysis.

Main Results:

  • scRNA-seq enables detailed analysis of cellular heterogeneity.
  • Multi-omics integration provides deeper insights into cellular interactions and disease mechanisms.
  • AI methods improve data quality, clustering, and cell-type annotation.

Conclusions:

  • The integration of scRNA-seq with multi-omics and AI is crucial for understanding cellular complexity in health and disease.
  • This approach allows for the decoding of intricate disease microenvironments.
  • Addressing remaining technical and computational challenges will further advance the field.