Simultaneous proteome localization and turnover analysis reveals spatiotemporal features of protein homeostasis disruptions.
Simultaneous proteome localization and turnover analysis reveals spatiotemporal features of protein homeostasis disruptions.
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同时蛋白质组定位和周转分析揭示了蛋白质稳态破坏的时空特征。
DOI:
10.1101/2023.01.04.521821
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发表时间:
2024
期刊:
影响因子:
--
通讯作者:
Lau,Edward
中科院分区:
文献类型:
--
作者:
Currie,Jordan;Manda,Vyshnavi;Robinson,SeanK;Lai,Celine;Agnihotri,Vertica;Hidalgo,Veronica;Ludwig,RW;Zhang,Kai;Pavelka,Jay;Wang,ZhaoV;Rhee,June-Wha;Lam,MaggiePY;Lau,Edward
The spatial and temporal distributions of proteins are critical to protein function, but cannot be directly assessed by measuring protein bundance. Here we describe a mass spectrometry-based proteomics strategy, Simultaneous Proteome Localization and Turnover (SPLAT), to measure concurrently protein turnover rates and subcellular localization in the same experiment. Applying the method, we find that unfolded protein response (UPR) has different effects on protein turnover dependent on their subcellular location in human AC16 cells, with proteome-wide slowdown but acceleration among stress response proteins in the ER and Golgi. In parallel, UPR triggers broad differential localization of proteins including RNA-binding proteins and amino acid transporters. Moreover, we observe newly synthesized proteins including EGFR that show a differential localization under stress than the existing protein pools, reminiscent of protein trafficking disruptions. We next applied SPLAT to an induced pluripotent stem cell derived cardiomyocyte (iPSC-CM) model of cancer drug cardiotoxicity upon treatment with the proteasome inhibitor carfilzomib. Paradoxically, carfilzomib has little effect on global average protein half-life, but may instead selectively disrupt sarcomere protein homeostasis. This study provides a view into the interactions of protein spatial and temporal dynamics and demonstrates a method to examine protein homeostasis regulations in stress and drug response.
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影响因子:
16
作者:
Guan BJ;van Hoef V;Jobava R;Elroy-Stein O;Valasek LS;Cargnello M;Gao XH;Krokowski D;Merrick WC;Kimball SR;Komar AA;Koromilas AE;Wynshaw-Boris A;Topisirovic I;Larsson O;Hatzoglou M
通讯作者:
Hatzoglou M
DOI:
10.1038/s43586-021-00035-0
发表时间:
2021-04
期刊:
Nature Reviews Methods Primers
影响因子:
--
作者:
M. Dreger
通讯作者:
M. Dreger
DOI:
10.1139/o09-174
发表时间:
2010-05
期刊:
Biochemistry and cell biology = Biochimie et biologie cellulaire
影响因子:
--
作者:
L. Vonk;B. Doulabi;Chunling Huang;M. Helder;V. Everts;R. Bank
通讯作者:
L. Vonk;B. Doulabi;Chunling Huang;M. Helder;V. Everts;R. Bank
影响因子:
5.6
作者:
Toro R;Pérez-Serra A;Mangas A;Campuzano O;Sarquella-Brugada G;Quezada-Feijoo M;Ramos M;Alcalá M;Carrera E;García-Padilla C;Franco D;Bonet F
通讯作者:
Bonet F
DOI:
10.1016/j.mcpro.2021.100192
发表时间:
2022-03
期刊:
Molecular & cellular proteomics : MCP
影响因子:
--
作者:
Andrews B;Murphy AE;Stofella M;Maslen S;Almeida-Souza L;Skehel JM;Skene NG;Sobott F;Frank RAW
通讯作者:
Frank RAW