Activation Induced Marker Assay to Detect and Monitor T-cells Using Image Cytometry 3078

Abstract Description Activation-induced marker (AIM) assays are a well-established, and accessible way to measure the antigen specific response in immune cells. In this work, an AIM assay was developed and demonstrated a multiplex detection method to monitor T-cell activation in patients with Rheumatoid Arthritis using a panel consisting of CD3, CD69, CD25, and CD279 (PD-1) surface markers using the Cellaca® PLX Image Cytometer. A dosage titration of PHA-P was performed on PBMCs to simulate T-cell activation and calculate a half maximal effective concentration (EC50) of Phytohaemagglutinin P (PHA-P) for further AIM assay work. Once stimulated, CD3 positive T-cells were evaluated for the activation markers, CD69 and CD25, and exhaustion molecule CD279 for disease specific response. After 24- hours, the level of surface marker expression median fluorescent intensity (MFI) values was graphed to evaluate patient response to stimulus. Orthogonal cytokine detection assay was performed using to confirm activation of T-cells using interleukin 2 (IL-2) as a reference. Results show stunted expression of surface markers and cytokine levels in those diagnosed with rheumatoid arthritis compared to healthy. The AIM assay showed to be reproducible and has the potential to be automation compatible. The proposed image cytometric AIM assay may prove to be an efficient tool to rapidly screen clinical patient samples for T-cell activation in the setting of disease treatment or progression. Funding Sources Allen Institute for Immunolgy Topic Categories Basic Autoimmunity (BA)

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Publication Details

Journal
The Journal of Immunology
Published
2025-11-01
DOI
https://doi.org/10.1093/jimmun/vkaf283.917
Primary Topic
Advanced Biosensing Techniques and Applications
Type
article
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article

Activation Induced Marker Assay to Detect and Monitor T-cells Using Image Cytometry 3078

Veronica Hernandez, Leo Li‐Ying Chan, Dmitry Kuksin, Mackenzie Pierce et al.
The Journal of Immunology
Advanced Biosensing Techniques and Applications
article

Activation Induced Marker Assay to Detect and Monitor T-cells Using Image Cytometry 3078

Veronica Hernandez, Leo Li‐Ying Chan, Dmitry Kuksin, Mackenzie Pierce, Julian Reading, Tyanna Stuckey, Bo Lin, Blessing Musgrove, Leo Li-Ying
article en

Abstract

Abstract Description Activation-induced marker (AIM) assays are a well-established, and accessible way to measure the antigen specific response in immune cells. In this work, an AIM assay was developed and demonstrated a multiplex detection method to monitor T-cell activation in patients with Rheumatoid Arthritis using a panel consisting of CD3, CD69, CD25, and CD279 (PD-1) surface markers using the Cellaca® PLX Image Cytometer. A dosage titration of PHA-P was performed on PBMCs to simulate T-cell activation and calculate a half maximal effective concentration (EC50) of Phytohaemagglutinin P (PHA-P) for further AIM assay work. Once stimulated, CD3 positive T-cells were evaluated for the activation markers, CD69 and CD25, and exhaustion molecule CD279 for disease specific response. After 24- hours, the level of surface marker expression median fluorescent intensity (MFI) values was graphed to evaluate patient response to stimulus. Orthogonal cytokine detection assay was performed using to confirm activation of T-cells using interleukin 2 (IL-2) as a reference. Results show stunted expression of surface markers and cytokine levels in those diagnosed with rheumatoid arthritis compared to healthy. The AIM assay showed to be reproducible and has the potential to be automation compatible. The proposed image cytometric AIM assay may prove to be an efficient tool to rapidly screen clinical patient samples for T-cell activation in the setting of disease treatment or progression. Funding Sources Allen Institute for Immunolgy Topic Categories Basic Autoimmunity (BA)

The Journal of ImmunologyVol. 214(Supplement_1)
Trinity Health (US), Allen Institute for Immunology (US)
Openalex Percentile: Top 68%
Advanced Biosensing Techniques and Applications
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