Department of Immunology, University of Pittsburgh School of Medicine, University of Pittsburgh, Pittsburgh, PA, USA; Center for Systems Immunology, University of Pittsburgh, Pittsburgh, PA, USA.
Laboratory of Immune System Biology, NIAID, NIH, USA.
Curr Opin Immunol. 2024 Dec;91:102462. doi: 10.1016/j.coi.2024.102462. Epub 2024 Sep 11.
Signal integration is central to a causal understanding of appropriately scaled inflammatory responses. Here, we discuss recent progress in our understanding of the stimulus-response linkages downstream of pro-inflammatory inputs, with special attention to (1) the impact of cell state on the specificity of evoked gene expression and (2) the critical role of the spatial context of stimulus exposure. Advances in these directions are emerging from new tools for inferring cell-cell interactions and the activities of cytokines and transcription factors in complex microenvironments, enabling analysis of signal integration in tissue settings. Building on data-driven elucidation of factors driving inflammatory outcomes, mechanistic modeling can then contribute to a quantitative understanding of regulatory events that balance protective versus pathological inflammation.
信号整合是对适当规模的炎症反应进行因果理解的核心。在这里,我们讨论了我们对促炎输入下游刺激-反应联系的理解的最新进展,特别关注(1)细胞状态对诱发基因表达特异性的影响,以及(2)刺激暴露的空间背景的关键作用。这些方向的进展来自于用于推断细胞-细胞相互作用以及细胞因子和转录因子在复杂微环境中的活性的新工具,从而能够在组织环境中分析信号整合。在基于数据的阐明驱动炎症结果的因素的基础上,机制建模可以为平衡保护性炎症与病理性炎症的调节事件的定量理解做出贡献。