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High-Throughput Single-Cell Analysis of Local Nascent Protein Deposition in 3D Microenvironments via Extracellular
Marieke Meteling1, Castro Johnbosco1, Alexis Wolfel1
1Leijten Laboratory, Department of Developmental Bioengineering, Faculty of Science and Technology, Technical Medical Centre, University of Twente, Drienerlolaan 5, Enschede, 7522NB, The Netherlands.
Advanced Materials (Deerfield Beach, Fla.)
|December 4, 2024
Summary
Extracellular Protein Identification Cytometry (EPIC) offers high-throughput, single-cell analysis of nascent protein deposition in 3D microenvironments. This novel platform reveals cell population heterogeneity for tissue engineering and drug discovery.
Area of Science:
- Biotechnology
- Cell Biology
- Tissue Engineering
Background:
- Cell populations exhibit significant heterogeneity, impacting single-cell behavior and tissue development.
- Existing extracellular matrix (ECM) analysis methods provide limited, population-averaged, or low-throughput single-cell data.
- Understanding cell-specific ECM deposition is crucial for regenerative medicine and drug testing.
Purpose of the Study:
- To introduce Extracellular Protein Identification Cytometry (EPIC) as a high-throughput platform for single-cell ECM analysis.
- To enable detailed characterization of nascent protein deposition at the single-cell level within 3D microenvironments.
- To facilitate the identification and isolation of cellular subpopulations based on their matrix deposition characteristics.
Main Methods:
- Microfluidic encapsulation of human primary chondrocytes in 16-picoliter microgels at kHz rates.
- Formation of discrete 3D single-cell microniches for ECM deposition.
- Fluorescence immunostaining of ECM proteins for nondestructive flow cytometry analysis.
Main Results:
- EPIC enables high-throughput measurement of local nascent protein deposition at the single-cell level.
- The platform reveals unprecedented population heterogeneity in matrix deposition.
- Identification and isolation of specific cellular subpopulations via fluorescent activated cell sorting are demonstrated.
- The impact of cell-cell contact on matrix deposition can be studied by co-encapsulating cells.
Conclusions:
- EPIC provides a powerful tool for high-throughput single-cell analysis of nascent proteins in 3D microenvironments.
- This technology is expected to significantly advance fundamental biological knowledge and tissue engineering applications.
- EPIC facilitates the study of cellular heterogeneity and cell-cell interactions in matrix production.

