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

Cell-surface Signaling01:21

Cell-surface Signaling

Hormones—or any molecule that binds to a receptor, known as a ligand—that are lipid-insoluble (water-soluble) are not able to diffuse across the cell membrane. In order to be able to affect a cell without entering it, these hormones bind to receptors on the cell membrane. When a first messenger, a hormone, binds to a receptor, a signal cascade is set off, causing second messengers, proteins inside the cell, to become activated, resulting in downstream effects.
Cell Specific Gene Expression01:58

Cell Specific Gene Expression

Multicellular organisms contain a variety of structurally and functionally distinct cell types, but the DNA in all the cells originated from the same parent cells. The differences in the cells can be attributed to the differential gene expression. Liver cells, whose functions include detoxification of blood, production of bile to metabolize fats, and synthesis of proteins essential for metabolism, must express a specific set of genes to perform their functions. Gene expression also varies with...
Cell Specific Gene Expression01:58

Cell Specific Gene Expression

Multicellular organisms contain a variety of structurally and functionally distinct cell types, but the DNA in all the cells originated from the same parent cells. The differences in the cells can be attributed to the differential gene expression. Liver cells, whose functions include detoxification of blood, production of bile to metabolize fats, and synthesis of proteins essential for metabolism, must express a specific set of genes to perform their functions. Gene expression also varies with...
Overview of Cell Signaling01:23

Overview of Cell Signaling

Despite the protective membrane that separates a cell from the environment, cells need the ability to detect and respond to environmental changes. Additionally, cells often need to communicate with one another. Unicellular and multicellular organisms use a variety of cell signaling mechanisms to communicate with the environment.
Cells respond to many types of information, often through receptor proteins positioned on the membrane. For example, skin cells respond to and transmit touch...
Overview of Cell-Matrix Interactions01:24

Overview of Cell-Matrix Interactions

The extracellular matrix or ECM holds cells together to form a tissue and allows the cells within the tissue to communicate. ECM comprises proteins such as fibronectin, collagen, laminin, etc. The most abundant protein in this space is collagen. Collagen fibers are interwoven with carbohydrate-containing protein molecules called proteoglycans. ECM allows cell migration and provides a structural scaffold at cell adhesion that anchors the cell when the extracellular matrix proteins interact with...
Overview of Cell Signaling01:23

Overview of Cell Signaling

Despite the protective membrane that separates a cell from the environment, cells need the ability to detect and respond to environmental changes. Additionally, cells often need to communicate with one another. Unicellular and multicellular organisms use a variety of cell signaling mechanisms to communicate with the environment.
Cells respond to many types of information, often through receptor proteins positioned on the membrane. For example, skin cells respond to and transmit touch...

You might also read

Related Articles

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

Sort by
Same author

Clinical decision support in hematological malignancies using a case-grounded AI agent.

Nature medicine·2026
Same author

Needle-track metastasis in diffuse intrinsic pontine glioma: Need for a standardized surgical strategy?

Neuro-oncology advances·2026
Same author

Psychosocial risk screening in the inpatient care of physically ill patients: study protocol for a feasibility study.

BMJ open·2026
Same author

Quality of Life Trajectories With Integration Into Electronic Health Records for High-Resolution Patient Outcomes: Algorithm Development and Validation Study.

Journal of medical Internet research·2026
Same author

Single source - triple flow: Structured electronic data capture for pancreatic surgery patients.

Digital health·2026
Same author

Colony: a framework for reproducible and easy-to-use data analysis pipelines for biomedical research with singularity containers.

Bioinformatics advances·2026

Related Experiment Video

Updated: Jun 18, 2026

Transcriptome Analysis of Single Cells
07:27

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

30.1K

InterCellar enables interactive analysis and exploration of cell-cell communication in single-cell transcriptomic

Marta Interlandi1,2, Kornelius Kerl3, Martin Dugas4,5

  • 1Institute of Medical Informatics, University of Münster, Münster, Germany. marta.interlandi@uni-muenster.de.

Communications Biology
|January 12, 2022
PubMed
Summary

InterCellar is a new platform that helps scientists analyze cell-cell communication from single-cell RNA sequencing data without coding. It visualizes interactions and links them to biological pathways, aiding discovery.

More Related Videos

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations
09:34

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

6.8K
Using R, Seurat, and CellChat to Analyze a Single-Cell Transcriptomics Dataset of Mouse Skin Wound Healing
08:58

Using R, Seurat, and CellChat to Analyze a Single-Cell Transcriptomics Dataset of Mouse Skin Wound Healing

Published on: August 1, 2025

791

Related Experiment Videos

Last Updated: Jun 18, 2026

Transcriptome Analysis of Single Cells
07:27

Transcriptome Analysis of Single Cells

Published on: April 25, 2011

30.1K
A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations
09:34

A Combinatorial Single-cell Approach to Characterize the Molecular and Immunophenotypic Heterogeneity of Human Stem and Progenitor Populations

Published on: October 25, 2018

6.8K
Using R, Seurat, and CellChat to Analyze a Single-Cell Transcriptomics Dataset of Mouse Skin Wound Healing
08:58

Using R, Seurat, and CellChat to Analyze a Single-Cell Transcriptomics Dataset of Mouse Skin Wound Healing

Published on: August 1, 2025

791

Area of Science:

  • Cellular biology
  • Computational biology
  • Bioinformatics

Background:

  • Understanding cell-cell communication is crucial for multicellular systems.
  • Single-cell transcriptomics and computational algorithms predict ligand-receptor interactions.
  • Current tools require significant computational expertise for analysis.

Purpose of the Study:

  • To present InterCellar, an interactive platform for analyzing cell-cell communication.
  • To empower lab scientists without programming skills to explore cellular interactions.
  • To facilitate biological interpretation by linking pathways to ligand-receptor interactions.

Main Methods:

  • Development of an interactive, user-friendly platform called InterCellar.
  • Integration of customized analysis steps and visualization options.
  • Implementation of data-driven analyses, including multi-condition comparisons.

Main Results:

  • InterCellar enables analysis and exploration of predicted cell-cell communication.
  • The platform successfully resolves data-driven communication patterns in COVID-19 and melanoma.
  • Molecular signals are highlighted through the integration of biological functions and pathways.

Conclusions:

  • InterCellar streamlines cell-cell communication analysis for researchers.
  • The platform facilitates hypothesis generation in diverse biological systems.
  • User-friendly design lowers the barrier to entry for complex data analysis.