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Article Dans Une Revue Cell Reports Année : 2016

Standardized Whole-Blood Transcriptional Profiling Enables the Deconvolution of Complex Induced Immune Responses.

Consortium The Milieu Interieur
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Résumé

Systems approaches for the study of immune signaling pathways have been traditionally based on purified cells or cultured lines. However, in vivo responses involve the coordinated action of multiple cell types, which interact to establish an inflammatory microenvironment. We employed standardized whole-blood stimulation systems to test the hypothesis that responses to Toll-like receptor ligands or whole microbes can be defined by the transcriptional signatures of key cytokines. We found 44 genes, identified using Support Vector Machine learning, that captured the diversity of complex innate immune responses with improved segregation between distinct stimuli. Furthermore, we used donor variability to identify shared inter-cellular pathways and trace cytokine loops involved in gene expression. This provides strategies for dimension reduction of large datasets and deconvolution of innate immune responses applicable for characterizing immunomodulatory molecules. Moreover, we provide an interactive R-Shiny application with healthy donor reference values for induced inflammatory genes.

Domaines

Immunologie
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Dates et versions

pasteur-01367555 , version 1 (16-09-2016)

Licence

Paternité - Pas d'utilisation commerciale - Pas de modification

Identifiants

Citer

Alejandra Urrutia, Darragh Duffy, Vincent Rouilly, Céline Posseme, Raouf Djebali, et al.. Standardized Whole-Blood Transcriptional Profiling Enables the Deconvolution of Complex Induced Immune Responses.. Cell Reports, 2016, 16 (10), pp.2777-91. ⟨10.1016/j.celrep.2016.08.011⟩. ⟨pasteur-01367555⟩
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