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调节 NFκB 和 PI3K 的动态可增强 TNFR1 信号介导的凋亡反应的整体水平。

Modulating the dynamics of NFκB and PI3K enhances the ensemble-level TNFR1 signaling mediated apoptotic response.

机构信息

Department of Chemical Engineering, Indian Institute of Technology Bombay Powai, Mumbai, 400076, India.

出版信息

NPJ Syst Biol Appl. 2023 Nov 16;9(1):57. doi: 10.1038/s41540-023-00318-0.

Abstract

Cell-to-cell variability during TNFα stimulated Tumor Necrosis Factor Receptor 1 (TNFR1) signaling can lead to single-cell level pro-survival and apoptotic responses. This variability stems from the heterogeneity in signal flow through intracellular signaling entities that regulate the balance between these two phenotypes. Using systematic Boolean dynamic modeling of a TNFR1 signaling network, we demonstrate that the signal flow path variability can be modulated to enable cells favour apoptosis. We developed a computationally efficient approach "Boolean Modeling based Prediction of Steady-state probability of Phenotype Reachability (BM-ProSPR)" to accurately predict the network's ability to settle into different phenotypes. Model analysis juxtaposed with the experimental observations revealed that NFκB and PI3K transient responses guide the XIAP behaviour to coordinate the crucial dynamic cross-talk between the pro-survival and apoptotic arms at the single-cell level. Model predicted the experimental observations that ~31% apoptosis increase can be achieved by arresting Comp1 - IKK activity which regulates the NFκB and PI3K dynamics. Arresting Comp1 - IKK activity causes signal flow path re-wiring towards apoptosis without significantly compromising NFκB levels, which govern adequate cell survival. Priming an ensemble of cancerous cells with inhibitors targeting the specific interaction involving Comp1 and IKK prior to TNFα exposure could enable driving them towards apoptosis.

摘要

细胞间的变异性在 TNFα 刺激肿瘤坏死因子受体 1(TNFR1)信号转导过程中可以导致细胞水平的存活和凋亡反应。这种变异性源于调节这两种表型之间平衡的细胞内信号转导实体中的信号流异质性。通过对 TNFR1 信号转导网络的系统布尔动态建模,我们证明信号流路径的可变性可以被调节以促进细胞凋亡。我们开发了一种计算效率高的方法“基于布尔建模的表型可达性稳态概率预测(BM-ProSPR)”,以准确预测网络进入不同表型的能力。模型分析与实验观察相结合表明,NFκB 和 PI3K 的瞬时反应指导 XIAP 的行为,以协调细胞水平存活和凋亡臂之间的关键动态串扰。模型预测了实验观察到的结果,即通过阻止调节 NFκB 和 PI3K 动力学的 Comp1-IKK 活性,可以实现约 31%的凋亡增加。阻止 Comp1-IKK 活性会导致信号流路径向凋亡重新布线,而不会显著降低 NFκB 水平,这会影响细胞的适当存活。在 TNFα 暴露之前,用针对涉及 Comp1 和 IKK 的特定相互作用的抑制剂对一组癌细胞进行预处理,可以促使它们向凋亡方向发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/fe6f/10654705/d5ac0d47b3a4/41540_2023_318_Fig1_HTML.jpg

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