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

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...

You might also read

Related Articles

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

Sort by

Same author

Experimental mechanician for plate lattice metamaterial discovery.

Nature communications·2026

Same author

Receptor-Mimetic Stereo Olfaction for Simultaneous Odor Recognition and Spatial Localization.

Advanced materials (Deerfield Beach, Fla.)·2026

Same author

NRZ complex facilitates virus infection via enhancing ER-LD contacts.

The Journal of cell biology·2026

Same author

Fabric-Based Flexible Pressure Sensor Arrays with Ultra-Wide Pressure Range for Lower Limb Motion Capture System.

Research (Washington, D.C.)·2025

Same author

Self-Evolving Discovery of Carrier Biomaterials with Ultra-Low Nonspecific Protein Adsorption for Single Cell Analysis.

Advanced materials (Deerfield Beach, Fla.)·2025

Same author

Airbag-like Comb Flexible Pressure Sensor and Its Wearable Applications.

ACS applied materials & interfaces·2025

Same journal

AutoPELSA: An Automated Sample Preparation System for Proteome-Wide Identification of Target Proteins of Diverse Ligands.

Analytical chemistry·2026

Same journal

Keeping Reviews Meaningful in the Era of AI.

Analytical chemistry·2026

Same journal

Assessment of Papillary Thyroid Carcinoma by Profiling Multiple Matrix Metalloproteinase Activities Using a Machine Learning-Assisted Peptide Microarray Sensing Platform.

Analytical chemistry·2026

Same journal

Dual-Functional Ratio Photoelectrochemical Biosensing Platform for Photothermal Simultaneous Sterilization and Lipopolysaccharides-Mediated Detection of <i>Escherichia coli</i> O157:H7.

Analytical chemistry·2026

Same journal

Composite Peak Scoring for Improved Charged Aerosol Detector-Based Universal Quantification of Drug Libraries.

Analytical chemistry·2026

Same journal

UV-Triggered Chemiluminescence as a Bulk Surrogate Indicator for Microplastic Contamination in Aquatic Matrices.

Analytical chemistry·2026

See all related articles

Search research articles

Related Experiment Video

Updated: Apr 19, 2026

A Microfluidic Chip for the Versatile Chemical Analysis of Single Cells

A Microfluidic Chip for the Versatile Chemical Analysis of Single Cells

Published on: October 15, 2013

ValveCCI-seq: An Advanced Microfluidic Approach for Deciphering Cell-Cell Interactions.

Mingsheng Wang^1,2, Jingyu Qi^2,3, Shiyu Wang⁴

¹School of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou 510641, China.

Analytical Chemistry

|April 17, 2026

Summary

This summary is machine-generated.

We developed ValveCCI-seq, a new method to study cell-cell interactions. This high-throughput platform preserves cell identities, enabling better understanding of immune responses and advancing cell therapy.

More Related Videos

A Microfluidic System with Surface Patterning for Investigating Cavitation Bubble(s)–Cell Interaction and the Resultant Bioeffects at the Single-cell Level

A Microfluidic System with Surface Patterning for Investigating Cavitation Bubble(s)–Cell Interaction and the Resultant Bioeffects at the Single-cell Level

Published on: January 10, 2017

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing

Published on: May 23, 2018

Related Experiment Videos

Last Updated: Apr 19, 2026

A Microfluidic Chip for the Versatile Chemical Analysis of Single Cells

A Microfluidic Chip for the Versatile Chemical Analysis of Single Cells

Published on: October 15, 2013

A Microfluidic System with Surface Patterning for Investigating Cavitation Bubble(s)–Cell Interaction and the Resultant Bioeffects at the Single-cell Level

A Microfluidic System with Surface Patterning for Investigating Cavitation Bubble(s)–Cell Interaction and the Resultant Bioeffects at the Single-cell Level

Published on: January 10, 2017

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing

An Ultrahigh-throughput Microfluidic Platform for Single-cell Genome Sequencing

Published on: May 23, 2018

Area of Science:

Biotechnology
Immunology
Genomics

Background:

Immunotherapy efficacy relies on precise immune cell interaction modulation.
Current cell-cell interaction analysis methods have limitations in throughput, efficiency, and preserving cell identity.

Purpose of the Study:

To develop a high-resolution platform for profiling cell-cell interactions while preserving cell identities.
To overcome the limitations of existing transcriptome-based methods for analyzing cell-cell interactions.

Main Methods:

Developed ValveCCI-seq, a microfluidic platform integrating deterministic cell-pairing and in situ sequencing.
Achieved high throughput (32,000 cell pairs/hour) and efficiency (>86%) with broad cell compatibility.
Enabled direct transcriptome profiling of co-encapsulated cell pairs within droplets, preserving cell-pair identities.

Main Results:

ValveCCI-seq revealed gene expression signatures linked to T-cell activation using Jurkat and T2 cells.
Demonstrated precise identification of tumor antigens and cognate T-cell receptor (TCR) sequences.
Preserved interacting cell identities and enabled high-throughput analysis.

Conclusions:

ValveCCI-seq offers a robust framework for advancing cell therapy development.
Facilitates systematic studies of cellular interactions in clinical samples.
Supports parallel TCR screening across multiple antigens.