蛋白质组学
蛋白质组
质谱法
工作流程
样品制备
计算生物学
分辨率(逻辑)
高分辨率
化学
色谱法
生物
生物医学工程
分子生物学
计算机科学
生物信息学
生物化学
数据库
医学
人工智能
基因
地质学
遥感
作者
Andikan J. Nwosu,Santosh A. Misal,Thy Truong,Richard H. Carson,Kei G. I. Webber,Nathaniel B. Axtell,Yiran Liang,S. Madisyn Johnston,Kenneth L. Virgin,Ethan G. Smith,George Thomas,Terry K. Morgan,John C. Price,Ryan Kelly
标识
DOI:10.1021/acs.jproteome.2c00409
摘要
Formalin-fixed, paraffin-embedded (FFPE) tissues are banked in large repositories to cost-effectively preserve valuable specimens for later study. With the rapid growth of spatial proteomics, FFPE tissues can serve as a more accessible alternative to more commonly used frozen tissues. However, extracting proteins from FFPE tissues is challenging due to cross-links formed between proteins and formaldehyde. Here, we have adapted the nanoPOTS sample processing workflow, which was previously applied to single cells and fresh-frozen tissues, to profile protein expression from FFPE tissues. Following the optimization of extraction solvents, times, and temperatures, we identified an average of 1312 and 3184 high-confidence master proteins from 10 μm thick FFPE-preserved mouse liver tissue squares having lateral dimensions of 50 and 200 μm, respectively. The observed proteome coverage for FFPE tissues was on average 88% of that achieved for similar fresh-frozen tissues. We also characterized the performance of our fully automated sample preparation and analysis workflow, termed autoPOTS, for FFPE spatial proteomics. This modified nanodroplet processing in one pot for trace samples (nanoPOTS) and fully automated processing in one pot for trace sample (autoPOTS) workflows provides the greatest coverage reported to date for high-resolution spatial proteomics applied to FFPE tissues. Data are available via ProteomeXchange with identifier PXD029729.
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