骨蛋白质组的深度覆盖和量化为骨生物学和疾病的新发现提供了更好的机会

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Jacob P Rose¹, Charles A Schurman¹, Christina D King¹

¹Buck Institute for Research on Aging, Novato, CA, United States of America.

|October 10, 2023

概括

一个新的质谱工作流程能够对骨进行深度蛋白质组分析,识别超过2000种蛋白质和关键的修改. 这有助于我们更好地了解骨老化和骨关节炎 (OA) 病原体.

科学领域:

生物化学生物化学
蛋白质组学是指蛋白质组学.
生物材料科学生物材料科学

背景情况:

骨关节炎 (OA) 涉及细胞信号失调和软骨和骨细胞衰老.
质谱测量对于理解OA等与年龄相关的骨疾病中的复杂信号至关重要.
现有的蛋白质组学方法在分析骨复杂基质方面面临着挑战.

研究的目的:

为全面的骨蛋白质组分析引入一种新的质谱工作流程.
在骨基质中识别关键蛋白质和翻译后修饰 (PTMs).
开发用于监测骨衰老和治疗骨疾病的治疗干预的工具.

主要方法:

开发了一种专门的工作流程,包括一夜之间去矿化,粉碎和使用瓜尼丁化和EDTA进行延长化.
使用了高分辨率的轨道飞行器Eclipse和Exploris 480质谱仪,具有数据独立获取 (DIA).
采用了一种无光谱库量化策略 (directDIA) 来识别和量化蛋白质.

主要成果:

从富含的骨基质中鉴定和量化了2000多个蛋白质组.
检测到关键的骨蛋白 (ECM,SPARC,IBSP),信号蛋白 (TGFB2) 和原交联酶 (LOXL2).
保存和识别的PTM,包括氧改性和衰老因子 (C3,矩阵金属蛋白酶).

结论:

新的工作流提供了深厚的蛋白质组覆盖和骨组织的强大的量化.
它有助于发现骨衰老和与年龄有关的疾病的潜在机制.
这种方法为监测疾病进展和治疗骨疾病的疗效提供了新的工具.

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