National Centre for Cell Science, NCCS Complex, Ganeshkhind, SP Pune University Campus, Pune 411007, India.
National Centre for Cell Science, NCCS Complex, Ganeshkhind, SP Pune University Campus, Pune 411007, India.
Cytokine. 2021 Dec;148:155665. doi: 10.1016/j.cyto.2021.155665. Epub 2021 Aug 5.
The pro-inflammatory IFNγ-STAT1 pathway and anti-inflammatory IL10-STAT3 pathway elicit cellular responses primarily utilizing their canonical STATs. However IL10 mediated STAT1 and IFNγ mediated STAT3 activation is also observed, suggesting crosstalk of these functionally opposing signaling pathways can potentially reshape the canonical dynamics both STATs and alter the expression of their target genes. Herein, we measured the dynamics of STATs in response to different doses of IL10 or IFNγ and in their co-stimulation and employed quantitative modeling to understand the regulatory mechanisms controlling signal responses in individual and co-simulation scenarios. Our experiments show, STAT3 in particular, exhibits a bell-shaped dose-response while treated with IFNγ or IL10 and our model quantiatively captured the dose-dependent dynamics of both the STATs in both pathways. The model next predicted and subsequent experiments validated that STAT3 dynamics would robustly remain IL10 specific when subjected to a co-stimulation of both IFNγ and IL10. Genes common to both pathways also exhibited IL10 specific expression during the co-stimulation. The findings thus uncover anovel feature of the IL10-STAT3 signaling axis during pathway crosstalk. Finally, parameter sampling coupled to information theory based analysis showed that bell-shaped signal-response of STAT3 in both pathways is primarily dependent on receptor concentration whereas robustness of IL10-STAT3 signaling axis in co-stimulation results from the negative regulation of the IFNγ pathway.
促炎 IFNγ-STAT1 途径和抗炎 IL10-STAT3 途径主要利用其经典 STAT 引发细胞反应。然而,也观察到 IL10 介导的 STAT1 和 IFNγ 介导的 STAT3 激活,表明这些功能相反的信号通路之间的串扰可以潜在地重塑经典 STAT 动力学并改变其靶基因的表达。在此,我们测量了 STAT 对不同剂量的 IL10 或 IFNγ 的反应动力学,并进行了共刺激实验,采用定量建模来理解控制单个和共刺激场景中信号反应的调节机制。我们的实验表明,特别是 STAT3,在受到 IFNγ 或 IL10 处理时表现出钟形剂量反应,我们的模型定量捕获了两条途径中两种 STAT 的剂量依赖性动力学。该模型随后预测并通过后续实验验证,当同时受到 IFNγ 和 IL10 的共刺激时,STAT3 动力学将保持 IL10 特异性。两条途径中共同的基因在共刺激期间也表现出 IL10 特异性表达。因此,这些发现揭示了通路串扰中 IL10-STAT3 信号轴的一个新特征。最后,参数抽样结合基于信息理论的分析表明,两条途径中 STAT3 的钟形信号反应主要取决于受体浓度,而 IFNγ 途径的负调控导致了共刺激中 IL10-STAT3 信号轴的稳健性。