Dissecting Branch-Specific Unfolded Protein Response Activation in Drug-Tolerant BRAF-Mutant Melanoma using Data-Independent Acquisition Mass Spectrometry.

IF 6.1 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Lea A Barny, Jake N Hermanson, Sarah K Garcia, Philip E Stauffer, Lars Plate
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引用次数: 0

Abstract

Cells rely on the Unfolded Protein Response (UPR) to maintain ER protein homeostasis (proteostasis) when faced with elevated levels of misfolded and aggregated proteins. The UPR is comprised of three main branches-ATF6, IRE1, and PERK-that coordinate the synthesis of proteins involved in folding, trafficking, and degradation of nascent proteins to restore ER function. Dysregulation of the UPR is linked to numerous diseases, including neurodegenerative disorders, cancer, and diabetes. Despite its importance, identifying UPR targets has been challenging due to their heterogeneous induction, which varies by cell type and tissue. Additionally, defining the magnitude and range of UPR-regulated genes is difficult because of intricate temporal regulation, feedback between UPR branches, and extensive cross-talk with other stress-signaling pathways. To comprehensively identify UPR-regulated proteins and determine their branch specificity, we developed a data-independent acquisition (DIA) liquid-chromatography mass spectrometry (LC-MS) pipeline. Our optimized workflow improved identifications of low-abundant UPR proteins and leveraged an automated SP3-based protocol on the Biomek i5 liquid handler for label-free peptide preparation. Using engineered stable cell lines that enable selective pharmacological activation of each UPR branch without triggering global UPR activation, we identified branch-specific UPR proteomic targets. These targets were subsequently applied to investigate proteomic changes in multiple BRAF-mutant melanoma cell lines treated with a BRAF inhibitor (PLX4720, i.e., vemurafenib). Our findings revealed differential regulation of the XBP1s branch of the UPR in the BRAF-mutant melanoma cell lines after PLX4720 treatment, likely due to calcium activation, suggesting that the UPR plays a role as a non-genetic mechanism of drug tolerance in melanoma. In conclusion, the validated branch-specific UPR proteomic targets identified in this study provide a robust framework for investigating this pathway across different cell types, drug treatments, and disease conditions in a high-throughput manner.

使用数据独立获取质谱分析耐药braf突变黑色素瘤中分支特异性未折叠蛋白反应激活。
当细胞面临高水平的错误折叠和聚集蛋白时,细胞依靠未折叠蛋白反应(UPR)来维持内质网蛋白稳态(蛋白质稳态)。UPR由三个主要分支- atf6, IRE1和perk组成,它们协调参与折叠,运输和新生蛋白质降解的蛋白质合成,以恢复内质网功能。普遍定期审查的失调与许多疾病有关,包括神经退行性疾病、癌症和糖尿病。尽管它很重要,但由于其异质诱导(因细胞类型和组织而异),确定UPR靶点一直具有挑战性。此外,由于复杂的时间调控、UPR分支之间的反馈以及与其他应激信号通路的广泛串扰,确定UPR调控基因的大小和范围是困难的。为了全面鉴定upr调控蛋白并确定其分支特异性,我们开发了数据独立采集(DIA)液相色谱-质谱(LC-MS)管道。我们优化的工作流程提高了低丰度UPR蛋白的鉴定,并在Biomek i5液体处理器上利用基于sp3的自动化协议进行无标签肽制备。利用工程稳定的细胞系,能够在不触发全局UPR激活的情况下选择性地激活每个UPR分支,我们确定了分支特异性UPR蛋白质组靶点。这些靶点随后被应用于研究BRAF抑制剂(PLX4720,即vemurafenib)处理的多种BRAF突变黑色素瘤细胞系的蛋白质组学变化。我们的研究结果揭示了PLX4720治疗后braf突变黑色素瘤细胞系中UPR的XBP1s分支的差异调控,可能是由于钙活化,这表明UPR在黑色素瘤中发挥了非遗传的药物耐受性机制。总之,本研究中确定的经过验证的分支特异性UPR蛋白质组靶点为高通量方式研究不同细胞类型、药物治疗和疾病状况的这一途径提供了一个强大的框架。
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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