Proteome Research, Institute of Molecular Medicine, Medical Faculty, Heinrich Heine University Düsseldorf, Düsseldorf, 40225, Germany.
Molecular Proteomics Laboratory, Biologisch-Medizinisches Forschungszentrum, Heinrich Heine University Düsseldorf, Düsseldorf, 40225, Germany.
Proteomics. 2021 Jan;21(2):e2000178. doi: 10.1002/pmic.202000178. Epub 2020 Nov 17.
Secretome analysis is broadly applied to understand the interplay between cells and their microenvironment. In particular, the unbiased analysis by mass spectrometry-based proteomics of conditioned medium has been successfully applied. In this context, several approaches have been developed allowing to distinguish proteins actively secreted by cells from proteins derived from culture medium or proteins released from dying cells. Here, three different methods comparing conditioned medium and lysate by quantitative mass spectrometry-based proteomics to identify bona fide secreted proteins are evaluated. Evaluation in three different human cell lines reveals that all three methods give access to a similar set of bona fide secreted proteins covering a broad abundance range. In the analyzed primary cells, that is, mesenchymal stromal cells and normal human dermal fibroblasts, more than 70% of the identified proteins are linked to classical secretion pathways. Furthermore, 4-12% are predicted to be released by unconventional secretion pathways. Interestingly, evidence of release by ectodomain shedding in a large number of the remaining candidate proteins is found. In summary, it is convinced that comparative secretomics is currently the method of choice to obtain high-confident secretome data and to identify novel candidates for unconventional protein secretion which have been neglected so far.
分泌组分析被广泛应用于研究细胞及其微环境之间的相互作用。特别是基于质谱的蛋白质组学对条件培养基进行无偏分析已经成功应用。在这种情况下,已经开发了几种方法,可以区分细胞主动分泌的蛋白质与来自培养基的蛋白质或从死亡细胞释放的蛋白质。本文评价了三种通过定量质谱蛋白质组学比较条件培养基和裂解物来鉴定真正分泌蛋白的不同方法。在三种不同的人细胞系中的评估表明,所有三种方法都可以获得相似的真正分泌蛋白集,涵盖广泛的丰度范围。在所分析的原代细胞(即间充质基质细胞和正常人皮肤成纤维细胞)中,超过 70%鉴定的蛋白质与经典分泌途径有关。此外,4-12%预测通过非经典分泌途径释放。有趣的是,在大量剩余候选蛋白中发现了通过胞外结构域脱落释放的证据。总之,人们坚信比较分泌组学是目前获得高可信度分泌组数据和鉴定迄今为止被忽视的非经典蛋白质分泌新候选物的首选方法。