Clemens Lara, Dushek Omer, Allard Jun
Center for Complex Biological Systems, University of California Irvine, Irvine, California.
Dunn School of Pathology, University of Oxford, Oxford, United Kingdom.
Biophys J. 2021 Jan 19;120(2):379-392. doi: 10.1016/j.bpj.2020.11.2266. Epub 2020 Dec 5.
Many immunoreceptors have cytoplasmic domains that are intrinsically disordered (i.e., have high configurational entropy), have multiple sites of posttranslational modification (e.g., tyrosine phosphorylation), and participate in nonlinear signaling pathways (e.g., exhibiting switch-like behavior). Several hypotheses to explain the origin of these nonlinearities fall under the broad hypothesis that modification at one site changes the immunoreceptor's entropy, which in turn changes further modification dynamics. Here, we use coarse-grain simulation to study three scenarios, all related to the chains that constitute the T cell receptor (TCR). We find that first, if phosphorylation induces local changes in the flexibility of the TCR ζ-chain, this naturally leads to rate enhancements and cooperativity. Second, we find that TCR CD3ɛ can provide a switch by modulating its residence in the plasma membrane. By constraining our model to be consistent with the previous observation that both basic residues and phosphorylation control membrane residence, we find that there is only a moderate rate enhancement of 10% between first and subsequent phosphorylation events. Third, we find that volume constraints do not limit the number of ZAP70s that can bind the TCR but that entropic penalties lead to a 200-fold decrease in binding rate by the seventh ZAP70, potentially explaining the observation that each TCR has around six ZAP70 molecules bound after receptor triggering. In all three scenarios, our results demonstrate that phenomena that change an immunoreceptor chain's entropy (stiffening, confinement to a membrane, and multiple simultaneous binding) can lead to nonlinearities (rate enhancement, switching, and negative cooperativity) in how the receptor participates in signaling. These polymer-entropy-driven nonlinearities may augment the nonlinearities that arise from, e.g., kinetic proofreading and cluster formation. They also suggest different design strategies for engineered receptors, e.g., whether or not to put signaling modules on one chain or multiple clustered chains.
许多免疫受体具有内在无序的胞质结构域(即具有高构象熵),有多个翻译后修饰位点(如酪氨酸磷酸化),并参与非线性信号通路(如表现出开关样行为)。有几个假说来解释这些非线性的起源,它们都属于一个宽泛的假说,即一个位点的修饰会改变免疫受体的熵,进而改变进一步的修饰动力学。在这里,我们使用粗粒度模拟来研究三种情况,所有这些情况都与构成T细胞受体(TCR)的链有关。我们发现,首先,如果磷酸化诱导TCR ζ链的柔韧性发生局部变化,这自然会导致速率增强和协同性。其次,我们发现TCR CD3ɛ可以通过调节其在质膜中的驻留来提供一个开关。通过将我们的模型限制为与先前的观察结果一致,即碱性残基和磷酸化都控制膜驻留,我们发现在第一次和后续磷酸化事件之间,速率仅适度提高了10%。第三,我们发现体积限制并不限制可以结合TCR的ZAP70的数量,但熵罚导致第七个ZAP70的结合速率下降200倍,这可能解释了在受体触发后每个TCR有大约六个ZAP70分子结合的观察结果。在所有这三种情况下,我们的结果表明,改变免疫受体链熵的现象(变硬、限制在膜中以及多个同时结合)可以导致受体参与信号传导方式的非线性(速率增强、开关和负协同性)。这些聚合物熵驱动的非线性可能会增强例如动力学校对和簇形成所产生的非线性。它们还为工程受体提出了不同的设计策略,例如是否将信号模块放在一条链上或多条聚集的链上。