Division of Cell Matrix Biology & Regenerative Medicine, The University of Manchester, Manchester, UK.
Division of Musculoskeletal & Dermatological Sciences, The University of Manchester, Manchester, UK.
Aging Cell. 2021 May;20(5):e13355. doi: 10.1111/acel.13355. Epub 2021 Apr 8.
Although dysfunctional protein homeostasis (proteostasis) is a key factor in many age-related diseases, the untargeted identification of structurally modified proteins remains challenging. Peptide location fingerprinting is a proteomic analysis technique capable of identifying structural modification-associated differences in mass spectrometry (MS) data sets of complex biological samples. A new webtool (Manchester Peptide Location Fingerprinter), applied to photoaged and intrinsically aged skin proteomes, can relatively quantify peptides and map statistically significant differences to regions within protein structures. New photoageing biomarker candidates were identified in multiple pathways including extracellular matrix organisation (collagens and proteoglycans), protein synthesis and folding (ribosomal proteins and TRiC complex subunits), cornification (keratins) and hemidesmosome assembly (plectin and integrin α6β4). Crucially, peptide location fingerprinting uniquely identified 120 protein biomarker candidates in the dermis and 71 in the epidermis which were modified as a consequence of photoageing but did not differ significantly in relative abundance (measured by MS1 ion intensity). By applying peptide location fingerprinting to published MS data sets, (identifying biomarker candidates including collagen V and versican in ageing tendon) we demonstrate the potential of the MPLF webtool for biomarker discovery.
尽管功能失调的蛋白质动态平衡(蛋白质稳态)是许多与年龄相关疾病的关键因素,但对结构修饰蛋白的非靶向识别仍然具有挑战性。肽位置指纹图谱是一种蛋白质组学分析技术,能够识别质谱(MS)数据集中与结构修饰相关的差异复杂的生物样本。一种新的网络工具(曼彻斯特肽位置指纹图谱)应用于光老化和内源性老化皮肤蛋白质组,可以相对定量肽,并将统计学上显著的差异映射到蛋白质结构内的区域。在多个途径中,包括细胞外基质组织(胶原蛋白和蛋白聚糖)、蛋白质合成和折叠(核糖体蛋白和 TRiC 复合物亚基)、角化(角蛋白)和半桥粒组装(网蛋白和整合素 α6β4),发现了新的光老化生物标志物候选物。至关重要的是,肽位置指纹图谱独特地识别了真皮中的 120 种蛋白质生物标志物候选物和表皮中的 71 种蛋白质生物标志物候选物,这些候选物由于光老化而发生了修饰,但相对丰度(通过 MS1 离子强度测量)没有显著差异。通过将肽位置指纹图谱应用于已发表的 MS 数据集(包括老化肌腱中的胶原蛋白 V 和 versican),我们证明了 MPLF 网络工具在生物标志物发现方面的潜力。