Quantitative proteomics of formalin-fixed, paraffin-embedded cardiac specimens uncovers protein signatures of specialized regions and patient groups.

IF 10.8 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS
Jonathan S Achter, Thomas H L Jensen, Paola Pisano, Johan S Bundgaard, Daniel Raaschou-Oddershede, Kasper Rossing, Michael Wierer, Alicia Lundby
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引用次数: 0

Abstract

Proteomic technologies have advanced our understanding of disease mechanisms, patient stratification and targeted therapies. However, applying cardiac proteomics in translational research requires overcoming the barrier of tissue accessibility. Formalin-fixed, paraffin-embedded (FFPE) heart tissue, widely preserved in pathology collections, remains a largely untapped resource. Here we demonstrate that proteomic profiles are well preserved in FFPE human heart specimens and compatible with high-resolution, quantitative analysis. Quantifying approximately 4,000 proteins per sample, we show this approach effectively distinguishes disease states and subanatomical regions, revealing distinct underlying protein signatures. Specifically, the human sinoatrial node exhibited enrichment of collagen VI and G protein-coupled receptor signaling. Myocardial biopsies from patients with arrhythmogenic cardiomyopathy were characterized by fibrosis and metabolic/cytoskeletal derangements, clearly separating them from donor heart biopsies. This study establishes FFPE heart tissue as a robust resource for cardiac proteomics, enabling retrospective molecular profiling at scale and unlocking archived specimens for disease discovery and precision cardiology.

福尔马林固定,石蜡包埋心脏标本的定量蛋白质组学揭示了特定区域和患者群体的蛋白质特征。
蛋白质组学技术提高了我们对疾病机制、患者分层和靶向治疗的理解。然而,将心脏蛋白质组学应用于转化研究需要克服组织可及性的障碍。福尔马林固定,石蜡包埋(FFPE)心脏组织,广泛保存在病理收藏,仍然是一个很大程度上未开发的资源。在这里,我们证明了FFPE人类心脏标本的蛋白质组学特征得到了很好的保存,并且与高分辨率的定量分析相兼容。每个样本量化约4000个蛋白质,我们表明这种方法有效地区分疾病状态和亚解剖区域,揭示不同的潜在蛋白质特征。具体来说,人窦房结表现出胶原VI和G蛋白偶联受体信号的富集。心律失常性心肌病患者的心肌活检表现为纤维化和代谢/细胞骨架紊乱,与供体心脏活检明显不同。这项研究确立了FFPE心脏组织作为心脏蛋白质组学的强大资源,使大规模的回顾性分子分析成为可能,并为疾病发现和精确心脏病学解锁存档标本。
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
CiteScore
5.70
自引率
0.00%
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