Systematic analysis of proteome turnover in an organoid model of pancreatic cancer by dSILO.

IF 4.3 Q1 BIOCHEMICAL RESEARCH METHODS
Cell Reports Methods Pub Date : 2024-05-20 Epub Date: 2024-04-26 DOI:10.1016/j.crmeth.2024.100760
Alison B Ross, Darvesh Gorhe, Jenny Kim Kim, Stefanie Hodapp, Lela DeVine, Karina M Chan, Iok In Christine Chio, Marko Jovanovic, Marina Ayres Pereira
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引用次数: 0

Abstract

The role of protein turnover in pancreatic ductal adenocarcinoma (PDA) metastasis has not been previously investigated. We introduce dynamic stable-isotope labeling of organoids (dSILO): a dynamic SILAC derivative that combines a pulse of isotopically labeled amino acids with isobaric tandem mass-tag (TMT) labeling to measure proteome-wide protein turnover rates in organoids. We applied it to a PDA model and discovered that metastatic organoids exhibit an accelerated global proteome turnover compared to primary tumor organoids. Globally, most turnover changes are not reflected at the level of protein abundance. Interestingly, the group of proteins that show the highest turnover increase in metastatic PDA compared to tumor is involved in mitochondrial respiration. This indicates that metastatic PDA may adopt alternative respiratory chain functionality that is controlled by the rate at which proteins are turned over. Collectively, our analysis of proteome turnover in PDA organoids offers insights into the mechanisms underlying PDA metastasis.

利用 dSILO 系统分析胰腺癌类器官模型中蛋白质组的周转。
蛋白质更替在胰腺导管腺癌(PDA)转移中的作用尚未得到研究。我们介绍了动态稳定同位素标记器官组织(dSILO):一种动态 SILAC 衍生方法,它将同位素标记氨基酸脉冲与等位串联质量标签(TMT)标记相结合,测量器官组织中整个蛋白质组的蛋白质周转率。我们将其应用于 PDA 模型,发现与原发性肿瘤器官组织相比,转移性器官组织表现出更快的全蛋白质组周转。在全球范围内,大多数周转变化并没有反映在蛋白质丰度水平上。有趣的是,与肿瘤相比,转移性PDA中周转率增加最多的一组蛋白质参与线粒体呼吸。这表明,转移性 PDA 可能采用了替代呼吸链功能,而这种功能受蛋白质周转率的控制。总之,我们对 PDA 器官组织中蛋白质组周转的分析为了解 PDA 转移的内在机制提供了启示。
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
Cell Reports Methods
Cell Reports Methods Chemistry (General), Biochemistry, Genetics and Molecular Biology (General), Immunology and Microbiology (General)
CiteScore
3.80
自引率
0.00%
发文量
0
审稿时长
111 days
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