Proteome Birthdating Reveals Age-Selectivity of Protein Ubiquitination.

IF 6.1 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Molecular & Cellular Proteomics Pub Date : 2024-07-01 Epub Date: 2024-05-24 DOI:10.1016/j.mcpro.2024.100791
Michael E Meadow, Sarah Broas, Margaret Hoare, Fatemeh Alimohammadi, Kevin A Welle, Kyle Swovick, Jennifer R Hryhorenko, John C Martinez, Seyed Ali Biashad, Andrei Seluanov, Vera Gorbunova, Abigail Buchwalter, Sina Ghaemmaghami
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Abstract

Within a cell, proteins have distinct and highly variable half-lives. As a result, the molecular ages of proteins can range from seconds to years. How the age of a protein influences its environmental interactions is a largely unexplored area of biology. To investigate the age-selectivity of cellular pathways, we developed a methodology termed "proteome birthdating" that barcodes proteins based on their time of synthesis. We demonstrate that this approach provides accurate measurements of protein turnover kinetics from a single biological sample encoding multiple labeling time-points. As a first application of the birthdated proteome, we investigated the age distribution of the human ubiquitinome. Our results indicate that the vast majority of ubiquitinated proteins in a cell consist of newly synthesized proteins and that these young proteins constitute the bulk of the degradative flux through the proteasome. Rapidly ubiquitinated nascent proteins are enriched in cytosolic subunits of large protein complexes. Conversely, proteins destined for the secretory pathway and vesicular transport have older ubiquitinated populations. Our data also identify a smaller subset of older ubiquitinated cellular proteins that do not appear to be targeted to the proteasome for rapid degradation. Together, our data provide an age census of the human ubiquitinome and establish proteome birthdating as a robust methodology for investigating the protein age-selectivity of diverse cellular pathways.

蛋白质组出生日期揭示了蛋白质泛素化的年龄选择性。
在细胞内,蛋白质的半衰期各不相同,变化很大。因此,蛋白质的分子年龄从几秒到几年不等。蛋白质的年龄如何影响其与环境的相互作用,这在很大程度上是一个尚未探索的生物学领域。为了研究细胞通路的年龄选择性,我们开发了一种称为 "蛋白质组出生日期 "的方法,根据蛋白质的合成时间对其进行条形码编码。我们证明,这种方法能从单一生物样本中精确测量蛋白质的周转动力学,并对多个标记时间点进行编码。作为出生日期蛋白质组的首次应用,我们研究了人类泛素组的年龄分布。我们的研究结果表明,细胞中绝大多数泛素化蛋白质由新合成的蛋白质组成,这些年轻蛋白质构成了蛋白酶体降解通量的主体。快速泛素化的新生蛋白质富集在大型蛋白质复合体的细胞膜亚基中。相反,用于分泌途径和囊泡运输的蛋白质则具有较老的泛素化群体。我们的数据还发现了一个较小的较老泛素化细胞蛋白子集,这些蛋白似乎并不是蛋白酶体快速降解的目标。总之,我们的数据提供了人类泛素组的年龄普查,并确立了蛋白质组出生年月作为研究不同细胞通路蛋白质年龄选择性的可靠方法。
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 & Cellular Proteomics
Molecular & Cellular Proteomics 生物-生化研究方法
CiteScore
11.50
自引率
4.30%
发文量
131
审稿时长
84 days
期刊介绍: The mission of MCP is to foster the development and applications of proteomics in both basic and translational research. MCP will publish manuscripts that report significant new biological or clinical discoveries underpinned by proteomic observations across all kingdoms of life. Manuscripts must define the biological roles played by the proteins investigated or their mechanisms of action. The journal also emphasizes articles that describe innovative new computational methods and technological advancements that will enable future discoveries. Manuscripts describing such approaches do not have to include a solution to a biological problem, but must demonstrate that the technology works as described, is reproducible and is appropriate to uncover yet unknown protein/proteome function or properties using relevant model systems or publicly available data. Scope: -Fundamental studies in biology, including integrative "omics" studies, that provide mechanistic insights -Novel experimental and computational technologies -Proteogenomic data integration and analysis that enable greater understanding of physiology and disease processes -Pathway and network analyses of signaling that focus on the roles of post-translational modifications -Studies of proteome dynamics and quality controls, and their roles in disease -Studies of evolutionary processes effecting proteome dynamics, quality and regulation -Chemical proteomics, including mechanisms of drug action -Proteomics of the immune system and antigen presentation/recognition -Microbiome proteomics, host-microbe and host-pathogen interactions, and their roles in health and disease -Clinical and translational studies of human diseases -Metabolomics to understand functional connections between genes, proteins and phenotypes
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