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T细胞群体中扩散受限的细胞因子信号传导

Diffusion-limited cytokine signaling in T cell populations.

作者信息

Brunner Patrick, Kiwitz Lukas, Li Lisa, Thurley Kevin

机构信息

Biomathematics Division, Institute of Experimental Oncology, University Hospital Bonn, Bonn, Germany.

Systems Biology of Inflammation, German Rheumatism Research Center (DRFZ), a Leibniz-Institute, Berlin, Germany.

出版信息

iScience. 2024 May 30;27(6):110134. doi: 10.1016/j.isci.2024.110134. eCollection 2024 Jun 21.

Abstract

Effective immune-cell responses depend on collective decision-making mediated by diffusible intercellular signaling proteins called cytokines. Here, we designed a three-dimensional spatiotemporal modeling framework and a precise finite-element simulation setup to systematically investigate the origin and consequences of spatially inhomogeneous cytokine distributions in lymph nodes. We found that such inhomogeneities are critical for effective paracrine signaling, and they do not arise by diffusion and uptake alone, but rather depend on properties of the cell population such as an all-or-none behavior of cytokine secreting cells. Furthermore, we assessed the regulatory properties of negative and positive feedback in combination with diffusion-limited signaling dynamics, and we derived statistical quantities to characterize the spatiotemporal signaling landscape in the context of specific tissue architectures. Overall, our simulations highlight the complex spatiotemporal dynamics imposed by cell-cell signaling with diffusible ligands, which entails a large potential for fine-tuned biological control especially if combined with feedback mechanisms.

摘要

有效的免疫细胞反应依赖于由称为细胞因子的可扩散细胞间信号蛋白介导的集体决策。在此,我们设计了一个三维时空建模框架和一个精确的有限元模拟装置,以系统地研究淋巴结中细胞因子空间不均匀分布的起源和后果。我们发现,这种不均匀性对于有效的旁分泌信号传导至关重要,它们并非仅由扩散和摄取产生,而是取决于细胞群体的特性,例如细胞因子分泌细胞的全或无行为。此外,我们评估了负反馈和正反馈与扩散受限信号动力学相结合的调节特性,并推导了统计量以表征特定组织结构背景下的时空信号格局。总体而言,我们的模拟突出了由具有可扩散配体的细胞间信号传导所施加的复杂时空动态,这尤其在与反馈机制相结合时,具有进行精细生物控制的巨大潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7749/11639737/38a165930f90/fx1.jpg

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