蛋白质组学
蛋白质组
计算生物学
定量蛋白质组学
仿形(计算机编程)
质谱法
蛋白质基因组学
生物
生物信息学
计算机科学
化学
基因组
基因组学
生物化学
色谱法
操作系统
基因
作者
Lu Li,Cuiji Sun,Yaoting Sun,Zhen Dong,Runxin Wu,Xiaoting Sun,Hanbin Zhang,Wenhao Jiang,Yan Zhou,Xufeng Cen,Shang Cai,Hongguang Xia,Yi Zhu,Tiannan Guo,Kiryl D. Piatkevich
标识
DOI:10.1038/s41467-022-34824-2
摘要
Abstract Spatially resolved proteomics is an emerging approach for mapping proteome heterogeneity of biological samples, however, it remains technically challenging due to the complexity of the tissue microsampling techniques and mass spectrometry analysis of nanoscale specimen volumes. Here, we describe a spatially resolved proteomics method based on the combination of tissue expansion with mass spectrometry-based proteomics, which we call Expansion Proteomics (ProteomEx). ProteomEx enables quantitative profiling of the spatial variability of the proteome in mammalian tissues at ~160 µm lateral resolution, equivalent to the tissue volume of 0.61 nL, using manual microsampling without the need for custom or special equipment. We validated and demonstrated the utility of ProteomEx for streamlined large-scale proteomics profiling of biological tissues including brain, liver, and breast cancer. We further applied ProteomEx for identifying proteins associated with Alzheimer’s disease in a mouse model by comparative proteomic analysis of brain subregions.
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