In-depth analysis of the human genome sequence has led to the annotation of approximately 20,000 human protein-coding genes. Although mass spectrometry (MS)-based workflows have made a great headway in achieving near genome-wide coverage, an equivalent complete map of the human proteome remains elusive. Delineating the spatial distribution of all human proteins at the organ, tissue, and cellular level can offer insight into health and disease and represents an excellent reference for the discovery of biomarkers and therapeutic targets. Here, we performed label-free liquid chromatography coupled to tandem MS (LC–MS/MS) to profile the normal human proteome. In total, we analyzed 117 samples from 46 normal tissues and organs at autopsy. Our high-resolution MS approach allowed for the quantification of 10,438 unique proteins. In order to expand our coverage of the human proteome, we combined our previously published biological fluid proteomic data from healthy individuals. We considered data from seven biological fluids, including urine, cerebrospinal fluid, synovial fluid, seminal plasma, sweat, cervical vaginal fluid, and nipple aspirate fluid. Overall, we generated tandem mass spectra corresponding to 13,028 unique human protein-coding genes. Although our analysis did not accomplish complete proteome coverage, it should be an important complementary resource for future biomarker discovery.

中文翻译：

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人体组织和生物流体蛋白质组的蛋白质组分析

对人类基因组序列的深入分析已导致大约20,000种人类蛋白质编码基因的注释。尽管基于质谱（MS）的工作流程在实现接近全基因组范围的覆盖方面取得了长足的进步，但人类蛋白质组的等效完整图谱仍然难以捉摸。描绘所有人类蛋白质在器官，组织和细胞水平上的空间分布可以提供对健康和疾病的深入了解，并为发现生物标志物和治疗靶标提供了极好的参考。在这里，我们进行了无标记液相色谱与串联质谱联用（LC-MS / MS），以分析正常人的蛋白质组。总共，我们在尸检时分析了来自46个正常组织和器官的117个样本。我们的高分辨率质谱方法可以定量10,438种独特的蛋白质。为了扩大我们对人类蛋白质组学的覆盖范围，我们结合了我们先前发表的来自健康个体的生物流体蛋白质组学数据。我们考虑了来自七个生物体液的数据，包括尿液，脑脊液，滑液，精浆，汗液，宫颈阴道液和乳头抽吸液。总的来说，我们产生了对应于13028种独特的人类蛋白质编码基因的串联质谱。尽管我们的分析没有完成蛋白质组的完全覆盖，但它应该是将来生物标记物发现的重要补充资源。和乳头吸液。总的来说，我们产生了对应于13028种独特的人类蛋白质编码基因的串联质谱。尽管我们的分析未能完成蛋白质组的完全覆盖，但它应该是将来生物标记物发现的重要补充资源。和乳头吸液。总的来说，我们产生了对应于13028种独特的人类蛋白质编码基因的串联质谱。尽管我们的分析没有完成蛋白质组的完全覆盖，但它应该是将来生物标记物发现的重要补充资源。