Dual-Color ELISPOT Assay for the Simultaneous Detection of IL-2 and/or IFN-γ Secreting T Cells
Why this work is in the frame
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Bibliographic record
Abstract
INTRODUCTION The enzyme-linked immunospot (ELISPOT) assay measures the secretion intensity of effector molecules released by immune cells in response to ex vivo antigenic stimulation, as well as the frequency of these responding cells. This assay is highly sensitive, quantitative, easy to use, and amenable to high-throughput screening. For these reasons, the ELISPOT assay is considered by many as a gold standard for monitoring cellular immune responses. Until recently, ELISPOT assays using chromophores to detect the T cell secretion of cytokines were limited to the characterization of a single effector molecule. Notably, studies evaluating the immune response to chronic viral infections often measured IFN-γ secretion by ELISPOT because of the known antiviral effects of this cytokine as well as its correlation to the cytotoxic capacity of T cells. However, maintenance of both IFN-γ and IL-2 secretion by pathogen-specific T cells has been linked to a more favorable clinical outcome in human immunodeficiency virus (HIV) and Leishmania infections. Therefore, an ELISPOT assay able to simultaneously characterize T cell responses in terms of IL-2 and IFN-γ secretion is potentially relevant for the monitoring of immune responses to certain infectious agents. In this protocol, we describe an ELISPOT assay for the simultaneous detection of IL-2 and IFN-γ upon stimulation with viral peptides.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it