| Literature DB >> 25607461 |
Caroline Helmstetter1, Michael Flossdorf2, Michael Peine1, Andreas Kupz3, Jinfang Zhu4, Ahmed N Hegazy5, Maria A Duque-Correa6, Qin Zhang2, Yevhen Vainshtein2, Andreas Radbruch7, Stefan H Kaufmann6, William E Paul4, Thomas Höfer8, Max Löhning9.
Abstract
The probabilistic expression of cytokine genes in differentiated T helper (Th) cell populations remains ill defined. By single-cell analyses and mathematical modeling, we show that one stimulation featured stable cytokine nonproducers as well as stable producers with wide cell-to-cell variability in the magnitude of expression. Focusing on interferon-γ (IFN-γ) expression by Th1 cells, mathematical modeling predicted that this behavior reflected different cell-intrinsic capacities and not mere gene-expression noise. In vivo, Th1 cells sort purified by secreted IFN-γ amounts preserved a quantitative memory for both probability and magnitude of IFN-γ re-expression for at least 1 month. Mechanistically, this memory resulted from quantitatively distinct transcription of individual alleles and was controlled by stable expression differences of the Th1 cell lineage-specifying transcription factor T-bet. Functionally, Th1 cells with graded IFN-γ production competence differentially activated Salmonella-infected macrophages for bacterial killing. Thus, individual Th cells commit to produce distinct amounts of a given cytokine, thereby generating functional intrapopulation heterogeneity.Entities:
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Year: 2014 PMID: 25607461 PMCID: PMC4562415 DOI: 10.1016/j.immuni.2014.12.018
Source DB: PubMed Journal: Immunity ISSN: 1074-7613 Impact factor: 31.745