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

Overview of Cell-Matrix Interactions01:24

Overview of Cell-Matrix Interactions

7.2K
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...
7.2K
Overview of Cell Signaling01:23

Overview of Cell Signaling

20.4K
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...
20.4K
Neural Circuits01:25

Neural Circuits

1.3K
Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
1.3K
Cell-surface Signaling01:21

Cell-surface Signaling

51.8K
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.
51.8K
Overview of Cell-Cell Junctions01:14

Overview of Cell-Cell Junctions

25.6K
The complex three-dimensional arrangement of cells in any multicellular organism is defined and maintained by interactions of cells with each other and the extracellular matrix. Cell-cell junctions are specialized structures where the multi-protein complexes on one cell interact with the multi-protein complexes on another  cell. These cell junctions are classified  into three main types based on their function — occluding, anchoring, and gap junctions.
Occluding or Tight...
25.6K
Cell Signaling Feedback Loops01:07

Cell Signaling Feedback Loops

6.3K
Positive and negative feedback loops are crucial for regulating biological signaling systems. These feedback loops are processes that connect output signals to their inputs.
Negative feedback loops
Most signaling systems have negative feedback loops that can perform different functions such as output limiter, and adaptation.
Output limiter
Upon receiving an input signal, the cellular response rapidly increases until a threshold is reached. Beyond this threshold, a negative feedback loop...
6.3K

You might also read

Related Articles

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

Sort by
Same author

AI-quantified Myosteatosis at CAC CT for Prediction of Atrial Fibrillation and Heart Failure: The Multi-Ethnic Study of Atherosclerosis.

Radiology. Cardiothoracic imaging·2026
Same author

CD90 mediates gastric cancer immune evasion though regulating IGF2BP2 to stabilize the m6A-CD47/SIRPα axis.

Cancer cell international·2026
Same author

Frustration reduces interpersonal competition through dynamic interpersonal neural synchronization in dyads.

Communications biology·2026
Same author

Hematopoietic stem and progenitor cells derived platelet lysate promotes diabetic wound healing.

Molecular medicine (Cambridge, Mass.)·2026
Same author

Does surgeon expertise influence long-term outcomes in ovarian endometrioma rupture cases?

BMC women's health·2026
Same author

Quantitative light element profiling in plant tissues with monochromatic X-ray fluorescence analysis: a new frontier for abiotic stress studies.

Journal of experimental botany·2026
Same journal

Genetic Impacts on Variability of Body Fat Distribution Uncover Gene-Environment and Gene-Gene Interactions.

bioRxiv : the preprint server for biology·2026
Same journal

16S ribosomal RNA modification drives transcript-specific translation efficiency.

bioRxiv : the preprint server for biology·2026
Same journal

FlcE latches onto the FliL-stator complex to turbocharge flagellar motility in <i>Borrelia burgdorferi</i>.

bioRxiv : the preprint server for biology·2026
Same journal

Synaptic pruning, myelination and the emergence of psychiatric disorders in late adolescence.

bioRxiv : the preprint server for biology·2026
Same journal

Structural and functional insights into the Rcs phosphorelay.

bioRxiv : the preprint server for biology·2026
Same journal

The structural basis of RanGAP1 regulation and catalysis in nuclear transport.

bioRxiv : the preprint server for biology·2026
See all related articles

Related Experiment Video

Updated: Jul 9, 2025

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
09:44

Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

Published on: March 8, 2024

4.8K

CGCom: a framework for inferring Cell-cell Communication based on Graph Neural Network.

Honglin Wang, Chenyu Zhang, Seung-Hyun Hong

    Biorxiv : the Preprint Server for Biology
    |November 28, 2023
    PubMed
    Summary
    This summary is machine-generated.

    Spatial transcriptomics enables cell-cell communication inference. A new graph neural network (GNN) framework, CGCom, accurately predicts communication patterns using spatial data, outperforming existing methods by reducing false positives.

    More Related Videos

    Single-cell Microinjection for Cell Communication Analysis
    09:59

    Single-cell Microinjection for Cell Communication Analysis

    Published on: February 26, 2017

    11.3K
    Preparation and Characterization of Graphene-Based 3D Biohybrid Hydrogel Bioink for Peripheral Neuroengineering
    10:17

    Preparation and Characterization of Graphene-Based 3D Biohybrid Hydrogel Bioink for Peripheral Neuroengineering

    Published on: May 16, 2022

    2.3K

    Related Experiment Videos

    Last Updated: Jul 9, 2025

    Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology
    09:44

    Author Spotlight: Advancing Large-Scale Neural Dynamics Through HD-MEA Technology

    Published on: March 8, 2024

    4.8K
    Single-cell Microinjection for Cell Communication Analysis
    09:59

    Single-cell Microinjection for Cell Communication Analysis

    Published on: February 26, 2017

    11.3K
    Preparation and Characterization of Graphene-Based 3D Biohybrid Hydrogel Bioink for Peripheral Neuroengineering
    10:17

    Preparation and Characterization of Graphene-Based 3D Biohybrid Hydrogel Bioink for Peripheral Neuroengineering

    Published on: May 16, 2022

    2.3K

    Area of Science:

    • Computational Biology
    • Genomics
    • Cell Biology

    Background:

    • Cell-cell communication is vital for tissue homeostasis and function.
    • Spatial transcriptomics offers unprecedented resolution to study cellular interactions.
    • Inferring communication from spatial data remains a challenge.

    Approach:

    • Introduced CGCom, a novel graph neural network (GNN) framework for cell-cell communication inference.
    • Integrated spatial transcriptomic data with ligand-receptor databases and molecular regulatory information.
    • Leveraged cell proximity information to learn communication patterns.

    Key Points:

    • CGCom accurately infers communication between individual cell pairs and generalizes to cell types.
    • Comparative analysis with CellChat and CellPhoneDB revealed common and unique communication pathways.
    • CGCom demonstrates superior performance in reducing false positives compared to existing methods.

    Conclusions:

    • CGCom effectively utilizes spatially resolved transcriptomic data for accurate cell-cell communication prediction.
    • The GNN-based approach enhances the reliability of inferred communication networks.
    • This framework advances the understanding of cellular interactions in complex biological systems.