Lina Herhaus, Uxía Gestal-Mato, Vinay V. Eapen, Igor Mačinković, Henry J. Bailey, Cristian Prieto-Garcia, Mohit Misra, Anne-Claire Jacomin, Aparna Viswanathan Ammanath, Ivan Bagarić, Jolina Michaelis, Joshua Vollrath, Ramachandra M. Bhaskara, Georg Bündgen, Adriana Covarrubias-Pinto, Koraljka Husnjak, Jonathan Zöller, Ajami Gikandi, Sara Ribičić, Tobias Bopp, Ivan Dikic
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引用次数: 0
摘要
自噬-溶酶体系统引导着多种货物的降解,也参与了肿瘤的进展。在这里,我们发现免疫相关 GTPase 家族 Q 蛋白(IRGQ)--一种迄今为止尚未定性的蛋白质--在主要组织相容性复合体 I 类(MHC I 类)分子的质量控制中发挥作用。IRGQ 通过其与 GABARAPL2 和 LC3B 的结合模式将折叠错误的 MHC I 类导向溶酶体降解。在缺乏 IRGQ 的情况下,游离的 MHC I 类重链不仅会在细胞内积聚,还会被运输到细胞表面,从而促进免疫反应。由于 CD8+ T 细胞对 IRGQ 基因敲除肿瘤细胞的反应性增加,小鼠和人类肝细胞癌患者在 IRGQ 水平降低的情况下生存率有所提高。因此,我们揭示了 IRGQ 是 MHC I 类质量控制的调节因子,可介导肿瘤免疫逃避。
IRGQ-mediated autophagy in MHC class I quality control promotes tumor immune evasion
The autophagy-lysosome system directs the degradation of a wide variety of cargo and is also involved in tumor progression. Here, we show that the immunity-related GTPase family Q protein (IRGQ), an uncharacterized protein to date, acts in the quality control of major histocompatibility complex class I (MHC class I) molecules. IRGQ directs misfolded MHC class I toward lysosomal degradation through its binding mode to GABARAPL2 and LC3B. In the absence of IRGQ, free MHC class I heavy chains do not only accumulate in the cell but are also transported to the cell surface, thereby promoting an immune response. Mice and human patients suffering from hepatocellular carcinoma show improved survival rates with reduced IRGQ levels due to increased reactivity of CD8+ T cells toward IRGQ knockout tumor cells. Thus, we reveal IRGQ as a regulator of MHC class I quality control, mediating tumor immune evasion.
期刊介绍:
The Journal of Chemical Theory and Computation invites new and original contributions with the understanding that, if accepted, they will not be published elsewhere. Papers reporting new theories, methodology, and/or important applications in quantum electronic structure, molecular dynamics, and statistical mechanics are appropriate for submission to this Journal. Specific topics include advances in or applications of ab initio quantum mechanics, density functional theory, design and properties of new materials, surface science, Monte Carlo simulations, solvation models, QM/MM calculations, biomolecular structure prediction, and molecular dynamics in the broadest sense including gas-phase dynamics, ab initio dynamics, biomolecular dynamics, and protein folding. The Journal does not consider papers that are straightforward applications of known methods including DFT and molecular dynamics. The Journal favors submissions that include advances in theory or methodology with applications to compelling problems.