A Quantitative Multivariate Model of Human Dendritic Cell-T Helper Cell Communication
Cell-cell communication involves a large number of molecular signals that function as words of a complex language whose grammar remains mostly unknown. Here, we describe an integrative approach involving (1) protein-level measurement of multiple communication signals coupled to output responses in r...
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Published in | Cell Vol. 179; no. 2; pp. 432 - 447.e21 |
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Main Authors | , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
United States
Elsevier Inc
03.10.2019
Elsevier |
Subjects | |
Online Access | Get full text |
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Summary: | Cell-cell communication involves a large number of molecular signals that function as words of a complex language whose grammar remains mostly unknown. Here, we describe an integrative approach involving (1) protein-level measurement of multiple communication signals coupled to output responses in receiving cells and (2) mathematical modeling to uncover input-output relationships and interactions between signals. Using human dendritic cell (DC)-T helper (Th) cell communication as a model, we measured 36 DC-derived signals and 17 Th cytokines broadly covering Th diversity in 428 observations. We developed a data-driven, computationally validated model capturing 56 already described and 290 potentially novel mechanisms of Th cell specification. By predicting context-dependent behaviors, we demonstrate a new function for IL-12p70 as an inducer of Th17 in an IL-1 signaling context. This work provides a unique resource to decipher the complex combinatorial rules governing DC-Th cell communication and guide their manipulation for vaccine design and immunotherapies.
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•428 protein-level measurements of 36 DC communication molecules and 17 Th cytokines•Data-driven quantitative model of DC-T cell communication extensively validated•Systematic and unbiased predictions of context-dependent mechanisms•Validation of a new context-dependent role of IL-12p70 in Th17 differentiation
Grandclaudon et al. show that combinatorial rules that explain communication between dendritic cells and T helper cells can be helpful in vaccine design and immunotherapy. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0092-8674 1097-4172 |
DOI: | 10.1016/j.cell.2019.09.012 |