福尔马林固定石蜡包埋组织的高通量蛋白质组学和磷蛋白质组学分析。

IF 5.5 2区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
Molecular & Cellular Proteomics Pub Date : 2025-09-01 Epub Date: 2025-07-29 DOI:10.1016/j.mcpro.2025.101044
Moe Haines, John R Thorup, Simone Gohsman, Claudia Ctortecka, Chelsea Newton, Dan C Rohrer, Galen Hostetter, D R Mani, Michael A Gillette, Shankha Satpathy, Steven A Carr
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引用次数: 0

摘要

福尔马林固定石蜡包埋(FFPE)患者组织是蛋白质组学研究的宝贵资源,有可能将衍生的分子见解与临床注释和结果联系起来。在这里,我们提出了一个优化的,部分自动化的,基于板的FFPE蛋白质组学工作流程,结合病理引导的宏观解剖,使用自适应聚焦声学(AFA)超声进行裂解和解交联的无二甲苯脱烃,优化的S-Trap消化和肽清理,以及使用Exploris 480, Orbitrap Astral和timsTOF HT仪器的液相色谱-串联质谱(LC-MS/MS)。该工作流程可以分析多达96个解剖的FFPE组织样品或10 μm卷轴,每个样品鉴定出8,000-10,000个独特的蛋白质,平均cv
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High-Throughput Proteomic and Phosphoproteomic Analysis of Formalin-Fixed Paraffin-Embedded Tissues.

Formalin-fixed, paraffin-embedded (FFPE) patient tissues are a valuable resource for proteomic studies with the potential to associate derived molecular insights with clinical annotations and outcomes. Here, we present an optimized, partially automated, plate-based workflow for FFPE proteomics combining pathology-guided macrodissection, xylene-free deparaffinization using Adaptive Focused Acoustics sonication for lysis and decrosslinking, optimized suspension trapping digestion and cleanup of peptides, and LC-MS/MS using Exploris 480, Orbitrap Astral, and timsTOF HT instrumentation. The workflow enables analysis of up to 96 dissected FFPE tissue samples or 10 μm scrolls, identifying 8000 to 10,000 unique proteins per sample with median CVs <20%. Application to lung adenocarcinoma FFPE blocks confirms the platform's effectiveness in processing complex, clinically relevant samples, achieving deep proteome coverage and quantitative robustness comparable to tandem mass tagbased methods. Using the Orbitrap Astral with short, 24-min gradients, the workflow identifies up to 10,000 unique proteins and 11,000 fully localized phosphosites in lung adenocarcinoma FFPE tissue, demonstrating the ability to derive biologically relevant phosphoprotein/peptide results from clinically derived FFPE tumor samples. This high-throughput, scalable workflow advances biomarker discovery and proteomic research in archival tissue samples.

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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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