Time-resolved interactome profiling deconvolutes secretory protein quality control dynamics.

IF 8.5 1区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Molecular Systems Biology Pub Date : 2024-09-01 Epub Date: 2024-08-05 DOI:10.1038/s44320-024-00058-1
Madison T Wright, Bibek Timalsina, Valeria Garcia Lopez, Jake N Hermanson, Sarah Garcia, Lars Plate
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引用次数: 0

Abstract

Many cellular processes are governed by protein-protein interactions that require tight spatial and temporal regulation. Accordingly, it is necessary to understand the dynamics of these interactions to fully comprehend and elucidate cellular processes and pathological disease states. To map de novo protein-protein interactions with time resolution at an organelle-wide scale, we developed a quantitative mass spectrometry method, time-resolved interactome profiling (TRIP). We apply TRIP to elucidate aberrant protein interaction dynamics that lead to the protein misfolding disease congenital hypothyroidism. We deconvolute altered temporal interactions of the thyroid hormone precursor thyroglobulin with pathways implicated in hypothyroidism pathophysiology, such as Hsp70-/90-assisted folding, disulfide/redox processing, and N-glycosylation. Functional siRNA screening identified VCP and TEX264 as key protein degradation components whose inhibition selectively rescues mutant prohormone secretion. Ultimately, our results provide novel insight into the temporal coordination of protein homeostasis, and our TRIP method should find broad applications in investigating protein-folding diseases and cellular processes.

时间分辨相互作用组剖析解构了分泌蛋白质量控制动态。
许多细胞过程都受蛋白质-蛋白质相互作用的支配,这种相互作用需要严格的时空调控。因此,有必要了解这些相互作用的动态,以充分理解和阐明细胞过程和病理疾病状态。为了在整个细胞器范围内以时间分辨率绘制新的蛋白质-蛋白质相互作用图,我们开发了一种定量质谱方法--时间分辨相互作用组剖析(TRIP)。我们应用 TRIP 阐明了导致蛋白质错误折叠的先天性甲状腺功能减退症的异常蛋白质相互作用动态。我们解构了甲状腺激素前体甲状腺球蛋白与甲状腺功能减退症病理生理学相关通路(如 Hsp70-/90 辅助折叠、二硫化物/氧化还原处理和 N-糖基化)在时间上相互作用的改变。功能性 siRNA 筛选发现 VCP 和 TEX264 是关键的蛋白质降解成分,抑制它们可选择性地挽救突变原激素的分泌。最终,我们的研究结果为蛋白质平衡的时间协调提供了新的视角,我们的 TRIP 方法应能广泛应用于蛋白质折叠疾病和细胞过程的研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Molecular Systems Biology
Molecular Systems Biology 生物-生化与分子生物学
CiteScore
18.50
自引率
1.00%
发文量
62
审稿时长
6-12 weeks
期刊介绍: Systems biology is a field that aims to understand complex biological systems by studying their components and how they interact. It is an integrative discipline that seeks to explain the properties and behavior of these systems. Molecular Systems Biology is a scholarly journal that publishes top-notch research in the areas of systems biology, synthetic biology, and systems medicine. It is an open access journal, meaning that its content is freely available to readers, and it is peer-reviewed to ensure the quality of the published work.
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