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

10.0K
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...
10.0K
Ribosome Profiling02:24

Ribosome Profiling

3.6K
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...
3.6K

You might also read

Related Articles

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

Sort by
Same author

Systemic pre-conditioning favors effector over exhausted CD8 T-cell subsets following Sup2-IL33 armored CAR T-cell therapy.

Journal for immunotherapy of cancer·2026
Same author

Single-cell RNA sequencing reveals cadmium-induced cell-type-specific mechanisms of developmental neurotoxicity in human cortical organoids.

Journal of hazardous materials·2026
Same author

Autoencoder Denoising for Network-Based Spatial Transcriptomics Data with Applications for Cell Signaling Estimation.

Complex networks & their applications. International Conference on Complex Networks and Their Applications·2026
Same author

Biological foundation models illuminate annotation blind spots in evolutionarily divergent genomes.

bioRxiv : the preprint server for biology·2026
Same author

Eigenvector centrality for multilayer networks with dependent node importance.

Complex networks & their applications. International Conference on Complex Networks and Their Applications·2026
Same author

Excellent Long-Term Survival and Immune Recovery With Reduced-Intensity Conditioning HCT in Inborn Errors of Immunity.

Transplantation and cellular therapy·2026
Same journal

Region-aware bridge modeling enables interpretable mesoscale representation of spatial transcriptomic tissue sections.

Bioinformatics advances·2026
Same journal

Microbiome differential abundance methodologies to detect relevant taxa associated with chemotherapy toxicity rate in colorectal cancer.

Bioinformatics advances·2026
Same journal

maldipickr dereplicates microbial MALDI-TOF spectra to facilitate multiplexed isolation.

Bioinformatics advances·2026
Same journal

RAM-MSA: an anytime memory-bounded method for exact multiple sequence alignment using path finding.

Bioinformatics advances·2026
Same journal

Interpretable machine learning for low-sample multi-omics: a case study of ferret vaccine response.

Bioinformatics advances·2026
Same journal

DeepTaxa: a hybrid CNN-BERT framework for 16S rRNA taxonomic classification.

Bioinformatics advances·2026
See all related articles

Related Experiment Video

Updated: Jul 15, 2025

Single-cell RNA Sequencing and Analysis of Human Pancreatic Islets
11:34

Single-cell RNA Sequencing and Analysis of Human Pancreatic Islets

Published on: July 18, 2019

16.5K

Cell type-specific interaction analysis using doublets in scRNA-seq.

Courtney Schiebout1, Hannah Lust2, Yina Huang3

  • 1Department of Biomedical Data Science, Dartmouth College, Hanover, NH 03755, United States.

Bioinformatics Advances
|September 25, 2023
PubMed
Summary
This summary is machine-generated.

Doublets in single-cell RNA sequencing (scRNA-seq) can reveal cell-cell interactions. Our new method, CIcADA, identifies these biologically meaningful doublets, uncovering immune response gene upregulation in tumor microenvironments.

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

3.6K
Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
10:12

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

18.6K

Related Experiment Videos

Last Updated: Jul 15, 2025

Single-cell RNA Sequencing and Analysis of Human Pancreatic Islets
11:34

Single-cell RNA Sequencing and Analysis of Human Pancreatic Islets

Published on: July 18, 2019

16.5K
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

3.6K
Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues
10:12

Droplet Barcoding-Based Single Cell Transcriptomics of Adult Mammalian Tissues

Published on: January 10, 2019

18.6K

Area of Science:

  • Genomics
  • Immunology
  • Bioinformatics

Background:

  • Single-cell RNA sequencing (scRNA-seq) typically treats doublets as artifacts.
  • However, doublets can represent genuine cell-cell interactions, particularly juxtacrine signaling.
  • These interactions are crucial in complex tissues like the tumor microenvironment.

Purpose of the Study:

  • To develop a computational pipeline for identifying and analyzing biologically relevant doublets in scRNA-seq data.
  • To leverage doublets for understanding intercellular communication and its role in disease.

Main Methods:

  • Developed Cell type-specific Interaction Analysis using Doublets in scRNA-seq (CIcADA) pipeline.
  • CIcADA uses multi-label cell type scores to identify putative doublets.
  • Compares identified doublets against synthetic doublets to characterize interaction dynamics.

Main Results:

  • CIcADA successfully identified biologically meaningful doublets in scRNA-seq tumor datasets.
  • Identified doublets consistently showed upregulation of immune response genes.
  • This suggests doublets can serve as indicators of immune cell interactions and function.

Conclusions:

  • Doublets in scRNA-seq are not always artifacts and can provide valuable biological insights.
  • CIcADA offers a novel approach to analyze intercellular communication through doublets.
  • This method has potential implications for understanding tumor immunology and identifying prognostic indicators.