Investigating the Role of Different Co-receptors on T-cell Activation Through IFN-γ Secretion Using Spatially Controlled Cell Monitoring Platform
Lartitegui-Meneses, N.; Azuaje-Hualde, E. A.; Merino, A.; Lopez-de-Lacalle, S.; Benito-Lopez, F.; Colom, A.; BASABE-DESMONTS, L.
Show abstract
Conventional methods for studying T-cell activation typically assess receptor engagement and downstream functional outputs in separate experimental formats, thereby obscuring the spatial correlation between initial receptor arrangement and localized functional outputs. This makes it difficult to examine the individual and combined effects of receptors and co-receptors engagement within the immunological synapse within the same controlled cellular microenvironment. Building upon the recently published CellStudio platform, previously validated for monitoring growth factor interactions in adherent cell models like mesenchymal stem cells and HeLa cells, we adapted this modular system to investigate non-adherent immune cells. This platform integrates Printing and Vacuum Lithography (PnVlitho) with bead-based immunoassays to generate defined activation patterns surrounded by cytokine capture antibodies, establishing a "present-and-measure" framework for localized biosensing. Jurkat T-cells were patterned on fibronectin alone or in combination with anti-CD3 and/or anti-CD4 antibodies, enabling precise engagement and activation of the co-receptors. Cell capture, basal contact morphology, and IFN-{gamma} secretion were evaluated for each condition. While CD4 engagement alone had a minimal effect, presenting anti-CD3 and anti-CD4 together caused the cells to spread into wide, circular contact zones and trigger the strongest local IFN-{gamma} signals. These findings show that first adaptation of CellStudio for suspension cells enables the standardized comparison of receptor-dependent differences in Jurkat-cell capture, contact morphology, and local cytokine-associated signals within a spatially defined assay, emerging as a powerful tool for understanding co-receptor cooperation in T-cell function and immunotherapy.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- A programmable and automated optical electrowetting-on-dielectric (oEWOD) driven platform for massively parallel and sequential processing of single cell assay operations 95%
- Microfluidic device combining hydrodynamic and dielectrophoretic trapping for the controlled contact between single micro-sized objects and application to adhesion assays 95%
- A Photonic Biosensor-Integrated Tissue Chip Platform for Real-Time Sensing of Lung Epithelial Inflammatory Markers 94%
Similar papers in this journal
- Genipin-Crosslinked, Silane-Anchored 3D Tumor-Stroma Microtissues for High-Content On-Chip Drug Testing 93%
- The Modular μSiM: a Mass Produced, Rapidly Assembled, and Reconfigurable Platform for the Study of Barrier Tissue Models In Vitro 93%
- Rapid antifouling nanocomposite coating enables highly sensitive multiplexed electrochemical detection of myocardial infarction and concussion markers 92%
Similar papers in this journal
- Tunable DNA Origami Nanosensors for Detection of Multiscale Spatial Ion Concentration Gradients 93%
- Photothermal Recycling Biosensing for Continuous, Sensitive Molecular Quantification 93%
- Real-time respiration changes as a viability indicator for rapid antibiotic susceptibility testing in a microfluidic chamber array 93%
Similar papers in this journal
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.