UNMASC: modelling non-monotonic dose responses to cytokine combinations

ABSTRACT Induced pluripotent stem cells (iPSCs) have been proposed as an alternative T cell source for CAR-T cell therapies, as they can be differentiated and matured into T cells in vitro using cytokines. These assays benefit from computational and mathematical models to design appropriate experimental protocols. However, models are limited by typical monotonic dose-responses, preventing them from being used for cytokine effects that are largely non-monotonic. To address this shortcoming, we developed Uncovering Non-Monotonic Antagonistic and Synergistic Combinations (UNMASC), a novel mathematical model describing non-monotonic dose-response surfaces of cytokine interactions that distinguishes synergy of efficacy and potency. We showed that our approach successfully recapitulates non-monotonic observed dose-response surfaces characterizing in vitro T cell progenitor differentiation. Our results highlighted cytokine combinations with antagonistic effects alone but synergistic in combination, particularly IL3 and IL7. Together, UNMASC accelerates the efficient cell generation assays and extends drug interaction surfaces to a broader range of dose-responses.

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Publication Details

Journal
Nature Communications
Published
2026-11-04
DOI
https://doi.org/10.1038/s41467-026-78355-6
Primary Topic
Pluripotent Stem Cells Research
Type
article
Field-Weighted Citation Impact
0.00

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article

UNMASC: modelling non-monotonic dose responses to cytokine combinations

Morgan Craig, Yale S. Michaels, Dana Segal, Geneviève Bistodeau-Gagnon
1 links
Nature Communications
Pluripotent Stem Cells Research
article

UNMASC: modelling non-monotonic dose responses to cytokine combinations

Morgan Craig, Yale S. Michaels, Dana Segal, Geneviève Bistodeau-Gagnon
article en

Abstract

ABSTRACT Induced pluripotent stem cells (iPSCs) have been proposed as an alternative T cell source for CAR-T cell therapies, as they can be differentiated and matured into T cells in vitro using cytokines. These assays benefit from computational and mathematical models to design appropriate experimental protocols. However, models are limited by typical monotonic dose-responses, preventing them from being used for cytokine effects that are largely non-monotonic. To address this shortcoming, we developed Uncovering Non-Monotonic Antagonistic and Synergistic Combinations (UNMASC), a novel mathematical model describing non-monotonic dose-response surfaces of cytokine interactions that distinguishes synergy of efficacy and potency. We showed that our approach successfully recapitulates non-monotonic observed dose-response surfaces characterizing in vitro T cell progenitor differentiation. Our results highlighted cytokine combinations with antagonistic effects alone but synergistic in combination, particularly IL3 and IL7. Together, UNMASC accelerates the efficient cell generation assays and extends drug interaction surfaces to a broader range of dose-responses.

Nature Communications
Centre Hospitalier Universitaire Sainte-Justine (CA), CancerCare Manitoba (CA), CHU Sainte-Justine Research Center (CA), University of Manitoba (CA), Université de Montréal (CA)
Canada Research Chairs
Good health and well-being
Openalex Percentile: Top 100%
Pluripotent Stem Cells Research
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