人体组织和细胞类型的细胞清除系统是由组织特异性蛋白质组需求决定的。

Ekaterina Vinogradov, Lior Ravkaie, Bar Edri, Juman Jubran, Anat Ben-Zvi, Esti Yeger-Lotem
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引用次数: 0

摘要

蛋白质清除是蛋白质组健康的基础。在真核生物中,蛋白质清除由两个高度保守的蛋白水解系统进行,即泛素-蛋白酶体系统(UPS)和自噬-溶酶体途径(ALP)。尽管它们发挥着关键作用,但人类蛋白质清除系统在不同组织和细胞类型中的基本组织结构仍未得到表征。在这里,我们利用不同的全息数据集研究了这种组织结构。与其他蛋白编码基因相比,UPS 和 ALP 基因表达更广泛,编码的管家蛋白更多,对生长更重要,这与它们的基本作用相符。然而,大多数 UPS 和 ALP 基因在不同组织中的表达存在差异,它们在组织中的特异性上调与组织的特异性功能、表型和疾病易感性有关。与其他 UPS 和 ALP 基因相比,在不同组织间稳定表达的一小部分 UPS 和 ALP 基因的表达量更高、范围更广,而且对生长更为重要,这表明它们起着核心作用。最后,我们将蛋白质清除与蛋白稳态网络的其他分支进行了比较。蛋白质清除和折叠在不同组织间密切协调,但两者的关键作用都不如蛋白质合成。综上所述,我们认为蛋白质稳定网络是分层组织的,是根据蛋白质组的需要定制的。这种组织结构可能导致并阐明组织选择性表型。
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The landscape of cellular clearance systems across human tissues and cell types is shaped by tissue-specific proteome needs
Protein clearance is fundamental to proteome health. In eukaryotes, it is carried by two highly conserved proteolytic systems, the ubiquitin-proteasome system (UPS) and the autophagy-lysosome pathway (ALP). Despite their pivotal role, the basal organization of the human protein clearance systems across tissues and cell types remains uncharacterized. Here, we interrogated this organization using diverse omics datasets. Relative to other protein-coding genes, UPS and ALP genes were more widely expressed, encoded more housekeeping proteins, and were more essential for growth, in accordance with their fundamental roles. Most of the UPS and ALP genes were nevertheless differentially expressed across tissues, and their tissue-specific upregulation was associated with tissue-specific functions, phenotypes, and disease susceptibility. The small subset of UPS and ALP genes that was stably expressed across tissues was more highly and widely expressed and more essential for growth than other UPS and ALP genes, suggesting that it acts as a core. Lastly, we compared protein clearance to other branches of the proteostasis network. Protein clearance and folding were closely coordinated across tissues, yet both were less pivotal than protein synthesis. Taken together, we propose that the proteostasis network is organized hierarchically and is tailored to the proteome needs. This organization could contribute to and illuminate tissue-selective phenotypes.
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