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预测激酶 Lck 的蛋白质相互作用,该激酶对 T 细胞调节至关重要。

Predicting protein interactions of the kinase Lck critical to T cell modulation.

机构信息

Center for the Study of Systems Biology, School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA; AgnistaBio Inc, Palo Alto, CA 94301, USA.

Center for the Study of Systems Biology, School of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, USA.

出版信息

Structure. 2024 Nov 7;32(11):2168-2179.e2. doi: 10.1016/j.str.2024.09.010. Epub 2024 Oct 4.

Abstract

Protein-protein interactions (PPIs) play pivotal roles in directing T cell fate. One key player is the non-receptor tyrosine protein kinase Lck that helps to transduce T cell activation signals. Lck is mediated by other proteins via interactions that are inadequately understood. Here, we use the deep learning method AF2Complex to predict PPIs involving Lck, by screening it against ∼1,000 proteins implicated in immune responses, followed by extensive structural modeling for selected interactions. Remarkably, we describe how Lck may be specifically targeted by a palmitoyltransferase using a phosphotyrosine motif. We uncover "hotspot" interactions between Lck and the tyrosine phosphatase CD45, leading to a significant conformational shift of Lck for activation. Lastly, we present intriguing interactions between the phosphotyrosine-binding domain of Lck and the cytoplasmic tail of the immune checkpoint LAG3 and propose a molecular mechanism for its inhibitory role. Together, this multifaceted study provides valuable insights into T cell regulation and signaling.

摘要

蛋白质-蛋白质相互作用 (PPIs) 在指导 T 细胞命运中起着关键作用。一个关键的参与者是非受体酪氨酸蛋白激酶 Lck,它有助于传递 T 细胞激活信号。Lck 通过其他蛋白质的相互作用介导,但这些相互作用的机制尚不清楚。在这里,我们使用深度学习方法 AF2Complex 来预测涉及 Lck 的 PPI,方法是用它来筛选约 1000 种与免疫反应有关的蛋白质,然后对选定的相互作用进行广泛的结构建模。值得注意的是,我们描述了棕榈酰转移酶如何使用磷酸酪氨酸基序特异性靶向 Lck。我们发现了 Lck 与酪氨酸磷酸酶 CD45 之间的“热点”相互作用,导致 Lck 发生显著的构象变化以激活。最后,我们展示了 Lck 的磷酸酪氨酸结合域与免疫检查点 LAG3 的胞质尾之间有趣的相互作用,并提出了其抑制作用的分子机制。总之,这项多方面的研究为 T 细胞调控和信号转导提供了有价值的见解。

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