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

What is Cell Signaling?

What is 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 to respond to the environment.

What is Cell Signaling?

What is Cell Signaling?

Overview of Cell Signaling

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 Signaling

Overview of Cell Signaling

Overview of Cell-Matrix Interactions

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...

Non-equilibrium in the Cell

Non-equilibrium in the Cell

An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...

You might also read

Related Articles

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

Sort by

Same author

A Commentary on Dual Orphan Nuclear Receptor 4A1 (NR4A1) and NR4A2 Ligands.

Journal of cellular immunology·2026

Same author

<i>Bifidobacteria infantis</i> and human milk oligosaccharides have independent and synergistic effects on immune response and amino acid metabolism in germ-free mouse models.

mSystems·2026

Same author

Digit regeneration in mice is stimulated by sequential treatment with FGF2 and BMP2.

Nature communications·2026

Same author

Brewed Coffee and Its Components Act Through Orphan Nuclear Receptor 4A1 (NR4A1).

Nutrients·2026

Same author

Quantum annealing for enhanced feature selection in single-cell RNA sequencing data analysis.

Quantum machine intelligence·2026

Same author

Intranasal Human NSC-Derived EVs Therapy Can Restrain Inflammatory Microglial Transcriptome, and NLRP3 and cGAS-STING Signalling, in Aged Hippocampus.

Journal of extracellular vesicles·2026

Same journal

Poisoning the Genome: Targeted Backdoor Attacks on DNA Foundation Models.

ArXiv·2026

Same journal

Mechanistic mathematical model of the in vitro infection dynamics of Bunyamwera and Batai viruses including MOI-dependent shortening of the eclipse phase.

ArXiv·2026

Same journal

AI-Driven Lumped-Element Modeling of Human Respiratory System for Studying Voice Mechanics.

ArXiv·2026

Same journal

Beyond Algorithms: Conceptual Innovation in Medical Imaging AI.

ArXiv·2026

Same journal

Feynman Kac Reweighted Schrödinger Bridge Matching for Surface-Based Tau PET Harmonization.

ArXiv·2026

Same journal

Agentic Discovery of Non-Canonical Antimicrobial Peptides with AMPGAN v3.

ArXiv·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Apr 11, 2026

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Published on: June 8, 2018

QuantumXCT: Learning Interaction-Induced State Transformation in Cell-Cell Communication via Quantum Entanglement and

Selim Romero^1,2,3, Shreyan Gupta^1,3, Robert S Chapkin^2,3

¹Department of Veterinary Integrative Biosciences, Texas A&M University.

|April 10, 2026

Summary

This summary is machine-generated.

QuantumXCT, a novel quantum framework, infers cell-cell communication by learning state transformations, not just co-expression. This advances single-cell biology by discovering communication pathways without prior assumptions.

Keywords:

Bioinformatics Quantum Computing Quantum Machine Learning Single-cell

More Related Videos

An Optogenetic Method to Control and Analyze Gene Expression Patterns in Cell-to-cell Interactions

An Optogenetic Method to Control and Analyze Gene Expression Patterns in Cell-to-cell Interactions

Published on: March 22, 2018

Single-cell Microinjection for Cell Communication Analysis

Single-cell Microinjection for Cell Communication Analysis

Published on: February 26, 2017

Related Experiment Videos

Last Updated: Apr 11, 2026

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Generation and Coherent Control of Pulsed Quantum Frequency Combs

Published on: June 8, 2018

An Optogenetic Method to Control and Analyze Gene Expression Patterns in Cell-to-cell Interactions

An Optogenetic Method to Control and Analyze Gene Expression Patterns in Cell-to-cell Interactions

Published on: March 22, 2018

Single-cell Microinjection for Cell Communication Analysis

Single-cell Microinjection for Cell Communication Analysis

Published on: February 26, 2017

Area of Science:

Computational Biology
Quantum Machine Learning
Single-Cell Genomics

Background:

Current cell-cell communication (CCC) inference relies on ligand-receptor databases, limiting discovery to known interactions and co-expression patterns.
Existing methods fail to capture system-level signaling effects on cellular states.

Purpose of the Study:

To introduce QuantumXCT, a hybrid quantum-classical generative framework for inferring CCC by learning interaction-induced state transformations.
To enable de novo discovery of communication programs in complex biological systems.

Main Methods:

QuantumXCT encodes transcriptomic profiles into a Hilbert space.
Parameterized quantum circuits learn unitary transformations mapping non-interacting to interacting cellular states.
The framework models CCC as learning state transformations between cellular distributions.

Main Results:

QuantumXCT accurately recovers complex regulatory dependencies and feedback structures from synthetic and real-world data.
Identified key communication hubs, including the PDGFB-PDGFRB-STAT3 axis in ovarian cancer-fibroblast co-cultures.
The quantum circuit's topology provides interpretable interaction networks and quantifies influence.

Conclusions:

QuantumXCT offers a generative framework for modeling intercellular communication by learning data-driven state transformations.
This approach overcomes limitations of static interaction lookup, establishing a new paradigm for CCC discovery.
Highlights the potential of quantum machine learning in advancing single-cell biology research.