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T细胞通过时间整合反馈将个体的、量子化的激活转化为集体的、类似物的细胞因子反应。

T cells translate individual, quantal activation into collective, analog cytokine responses via time-integrated feedbacks.

作者信息

Tkach Karen E, Barik Debashis, Voisinne Guillaume, Malandro Nicole, Hathorn Matthew M, Cotari Jesse W, Vogel Robert, Merghoub Taha, Wolchok Jedd, Krichevsky Oleg, Altan-Bonnet Grégoire

机构信息

Program in Computational Biology and Immunology, Memorial Sloan Kettering Cancer Center, New York, United States.

出版信息

Elife. 2014 Apr 9;3:e01944. doi: 10.7554/eLife.01944.

Abstract

Variability within isogenic T cell populations yields heterogeneous 'local' signaling responses to shared antigenic stimuli, but responding clones may communicate 'global' antigen load through paracrine messengers, such as cytokines. Such coordination of individual cell responses within multicellular populations is critical for accurate collective reactions to shared environmental cues. However, cytokine production may saturate as a function of antigen input, or be dominated by the precursor frequency of antigen-specific T cells. Surprisingly, we found that T cells scale their collective output of IL-2 to total antigen input over a large dynamic range, independently of population size. Through experimental quantitation and computational modeling, we demonstrate that this scaling is enforced by an inhibitory cross-talk between antigen and IL-2 signaling, and a nonlinear acceleration of IL-2 secretion per cell. Our study reveals how time-integration of these regulatory loops within individual cell signaling generates scaled collective responses and can be leveraged for immune monitoring. DOI: http://dx.doi.org/10.7554/eLife.01944.001.

摘要

同基因T细胞群体中的变异性会产生对共同抗原刺激的异质性“局部”信号反应,但做出反应的克隆可能会通过旁分泌信使(如细胞因子)传递“全局”抗原负荷。多细胞群体中单个细胞反应的这种协调对于对共同环境线索做出准确的集体反应至关重要。然而,细胞因子的产生可能会随着抗原输入而饱和,或者由抗原特异性T细胞的前体频率主导。令人惊讶的是,我们发现T细胞在很大的动态范围内将其IL-2的集体输出量与总抗原输入量进行比例缩放,而与群体大小无关。通过实验定量和计算建模,我们证明这种比例缩放是由抗原和IL-2信号之间的抑制性相互作用以及每个细胞IL-2分泌的非线性加速所强制实现的。我们的研究揭示了这些调节回路在单个细胞信号中的时间整合如何产生比例缩放的集体反应,以及如何将其用于免疫监测。DOI: http://dx.doi.org/10.7554/eLife.01944.001

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/765b/3980879/3eb0f525491f/elife01944f001.jpg

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