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有效的蛋白质提取与数据非依赖性采集分析相结合,全面且可量化地揭示了关节软骨和软骨下骨蛋白质组的特征。

Effective protein extraction combined with data independent acquisition analysis reveals a comprehensive and quantifiable insight into the proteomes of articular cartilage and subchondral bone.

机构信息

Section of Medicine and Surgery, Department of Veterinary Clinical Sciences, University of Copenhagen, 2630 Taastrup, Denmark. Section for Protein Science and Biotherapeutics, DTU Bioengineering, Technical University of Denmark, 2800 Kgs. Lyngby, Denmark.

Division of Infection Medicine Proteomics, Department of Clinical Sciences, Lund University, Lund 221 84, Sweden.

出版信息

Osteoarthritis Cartilage. 2022 Jan;30(1):137-146. doi: 10.1016/j.joca.2021.09.006. Epub 2021 Sep 20.

DOI:10.1016/j.joca.2021.09.006
PMID:34547431
Abstract

OBJECTIVE

The objectives of this study was to establish a sensitive and reproducible method to map the cartilage and subchondral bone proteomes in quantitative terms, and mine the proteomes for proteins of particular interest in the pathogenesis of osteoarthritis (OA). The horse was used as a model animal.

DESIGN

Protein was extracted from articular cartilage and subchondral bone samples from three horses in triplicate by pressure cycling technology or ultrasonication. Digested proteins were analysed by data independent acquisition based mass spectrometry. Data was processed using a pre-established spectral library as reference database (FDR 1%).

RESULTS

We identified to our knowledge the hitherto most comprehensive quantitative cartilage (1758 proteins) and subchondral bone (1482 proteins) proteomes in all species presented to date. Both extraction methods were sensitive and reproducible and the high consistency of the identified proteomes (>97% overlap) indicated that both methods preserved the diversity among the extracted proteins. Proteome mining revealed a substantial number of quantifiable cartilage and bone matrix proteins and proteins involved in osteogenesis and bone remodeling, including ACAN, BGN, PRELP, FMOD, COMP, ACP5, BMP3, BMP6, BGLAP, TGFB1, IGF1, ALP, MMP3, and collagens. A number of proteins, including COMP and TNN, were identified in different protein isoforms with potential unique biological roles.

CONCLUSION

We have successfully developed two sensitive and reproducible non-species specific workflows enabling a comprehensive quantitative insight into the proteomes of cartilage and subchondral bone. This facilitates the prospect of investigating the molecular events at the osteochondral unit in the pathogenesis of OA in future projects.

摘要

目的

本研究的目的是建立一种灵敏且可重现的方法,以定量方式绘制软骨和软骨下骨蛋白质组图谱,并从蛋白质组中挖掘对骨关节炎(OA)发病机制有特殊兴趣的蛋白质。马被用作模型动物。

设计

通过压力循环技术或超声处理,从三只马的关节软骨和软骨下骨样本中重复提取蛋白质。通过基于数据独立采集的质谱分析消化后的蛋白质。使用预先建立的光谱库作为参考数据库(FDR 1%)处理数据。

结果

我们鉴定了迄今为止在所有已报道的物种中最全面的定量软骨(1758 种蛋白质)和软骨下骨(1482 种蛋白质)蛋白质组。两种提取方法均灵敏且可重现,且鉴定的蛋白质组之间的高度一致性(>97%重叠)表明两种方法均能保留提取蛋白质的多样性。蛋白质组挖掘揭示了大量可定量的软骨和骨基质蛋白质以及参与成骨和骨重塑的蛋白质,包括 ACAN、BGN、PRELP、FMOD、COMP、ACP5、BMP3、BMP6、BGLAP、TGFB1、IGF1、ALP、MMP3 和胶原蛋白。包括 COMP 和 TNN 在内的许多蛋白质被鉴定为具有潜在独特生物学功能的不同蛋白质同工型。

结论

我们成功开发了两种灵敏且可重现的非物种特异性工作流程,能够全面深入了解软骨和软骨下骨蛋白质组。这为未来项目中研究 OA 发病机制中骨软骨单位的分子事件提供了可能。

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