生物体液和组织中存在的高丰度蛋白质显着干扰通过质谱(MS)进行的低丰度蛋白质鉴定,限制蛋白质组深度并阻碍蛋白质生物标志物的发现。在这里,为了提高组织蛋白质组学的覆盖率,我们开发了一种基于纳米颗粒-蛋白质冠(NP-PC)的方法,用于衰老小鼠蛋白质组图谱。基于这种方法,我们调查了5个主要器官的生命过程的复杂性,包括心脏,肝脏,脾,脾肺,和肾脏,来自4组不同年龄的小鼠。与常规策略相比,基于NP-PC的蛋白质组显着增加了心脏中已识别的蛋白质组的数量(从3007增加到3927;增加了30.6%),肝脏(从2982到4610;增加54.6%),脾脏(从5047到7351;增加45.7%),肺(从4984到6903;增加38.5%),和肾脏(从3550到5739;增加61.7%),我们确定了总共10104个蛋白质组。总体数据表明,与其他三个年龄组相比,3周龄小鼠表现出更多差异。与3周龄小鼠相比,老年小鼠的氨基酸相关代谢蛋白增加。蛋白质相关的感染在老年小鼠的脾脏中增加。有趣的是,剪接体相关通路在肝脏中从年轻人到老年人显著改变,脾,脾和肺,表明剪接体在衰老过程中的重要作用。我们建立的衰老小鼠器官蛋白质组图谱为理解衰老过程提供了全面的见解,它可能有助于预防和治疗与年龄有关的疾病。
Highly abundant proteins present in biological fluids and tissues significantly interfere with low-abundance protein identification by mass spectrometry (MS), limiting proteomic depth and hindering protein biomarker discovery. Herein, to enhance the coverage of tissue proteomics, we developed a nanoparticle-protein corona (NP-PC)-based method for the aging mouse proteome atlas. Based on this method, we investigated the complexity of life process of 5 major organs, including the heart, liver, spleen, lungs, and kidneys, from 4 groups of mice at different ages. Compared with the conventional strategy, NP-PC-based proteomics significantly increased the number of identified protein groups in the heart (from 3007 to 3927; increase of 30.6%), liver (from 2982 to 4610; increase of 54.6%), spleen (from 5047 to 7351; increase of 45.7%), lungs (from 4984 to 6903; increase of 38.5%), and kidneys (from 3550 to 5739; increase of 61.7%), and we identified a total of 10 104 protein groups. The overall data indicated that 3-week-old mice showed more differences compared with the other three age groups. The proteins of amino acid-related metabolism were increased in aged mice compared with those in the 3-week-old mice. Protein-related infections were increased in the spleen of the aged mice. Interestingly, the spliceosome-related pathway significantly changed from youth to elders in the liver, spleen, and lungs, indicating the vital role of the spliceosome during the aging process. Our established aging mouse organ proteome atlas provides comprehensive insights into understanding the aging process, and it may help in prevention and treatment of age-related diseases.