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通过跨平台数据独立采集质谱法构建的人角膜上皮细胞综合蛋白质组

A Comprehensive Proteome of Human Corneal Epithelial Cells Constructed by Cross-platform DIA-Mass Spectrometry.

作者信息

Chan Kenrick Kai-Yuen, Cheung Jimmy Ka-Wai, Chung Shing-Yan Roy, Kong Hang-Kin, Bian Jingfang, Zhou Lei, Do Chi-Wai, Lam Thomas Chuen

机构信息

Centre for Eye and Vision Research (CEVR), 17W Hong Kong Science Park, Taipo, Hong Kong.

Centre for Myopia Research, School of Optometry, The Hong Kong Polytechnic University, Hung Hom, Hong Kong.

出版信息

Sci Data. 2025 May 23;12(1):848. doi: 10.1038/s41597-025-05004-w.

Abstract

The corneal epithelium serves as the front barrier against environmental stimuli and pathogens on the ocular surface. A comprehensive protein profile of the corneal epithelium would be crucial for understanding the molecular mechanisms that are related to corneal disease. This work demonstrated a library-free data-independent acquisition (DIA) approach across different mass spectrometers and proteomic software to build a comprehensive proteomic dataset for human corneal epithelial cells (HCECs). With the combinational use of different data-independent acquisition technologies of multiple mass spectrometers, including Sciex ZenoTOF 7600 (DIA-SWATH), Bruker TimsTOF Pro2 (DIA-PASEF), and ThermoFisher Orbitrap Fusion Lumos (DIA-HRMS1), protein identification and quantification were performed with superior sensitivity and resolution. By using a library-free DIA approach, this study constructed a more diverse and unbiased proteomic profile of human corneal epithelial cells (HCECs), comprising 11,954 protein groups (1% FDR). This represents the largest corneal proteome reported to date. All raw proteomic data were deposited to ProteomeXchange Consortium via Proteomics Identifications database (PRIDE) with the dataset identifier accession number PXD059451. Our findings hold the potential to enhance future understanding of corneal pathologies and transformative therapeutics.

摘要

角膜上皮作为眼表抵御环境刺激和病原体的前沿屏障。角膜上皮的全面蛋白质谱对于理解与角膜疾病相关的分子机制至关重要。这项工作展示了一种无文库的数据非依赖采集(DIA)方法,该方法跨越不同的质谱仪和蛋白质组学软件,以构建人类角膜上皮细胞(HCECs)的全面蛋白质组数据集。通过组合使用多种质谱仪的不同数据非依赖采集技术,包括Sciex ZenoTOF 7600(DIA-SWATH)、布鲁克TimsTOF Pro2(DIA-PASEF)和赛默飞世尔Orbitrap Fusion Lumos(DIA-HRMS1),蛋白质鉴定和定量具有卓越的灵敏度和分辨率。通过使用无文库的DIA方法,本研究构建了人类角膜上皮细胞(HCECs)更多样化且无偏差的蛋白质组图谱,包含11,954个蛋白质组(1%错误发现率)。这是迄今为止报道的最大的角膜蛋白质组。所有原始蛋白质组数据已通过蛋白质组学鉴定数据库(PRIDE)存入蛋白质组交换联盟,数据集标识符登录号为PXD059451。我们的研究结果有可能增进未来对角膜病变和变革性治疗方法的理解。

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