生物
蛋白质组
计算生物学
仿形(计算机编程)
工作流程
生物信息学
基因表达谱
计算机科学
遗传学
基因表达
数据库
基因
操作系统
作者
Johanna Tüshaus,Stephan Eckert,Marius Schliemann,Yuxiang Zhou,Pauline Pfeiffer,Christiane Halves,Federico Fusco,Johannes Weigel,Lisa Hönikl,Vicki Butenschön,Rumyana Todorova,Hilka Rauert‐Wunderlich,Matthew The,Andreas Rosenwald,Volker Heinemann,Julian Walter Holch,Katja Steiger,Claire Delbridge,Bernhard Meyer,Wilko Weichert,Carolin Mogler,Peer‐Hendrik Kuhn,Bernhard Küster
标识
DOI:10.1038/s44318-024-00289-w
摘要
Abstract Proteome profiling of formalin-fixed paraffin-embedded (FFPE) specimens has gained traction for the analysis of cancer tissue for the discovery of molecular biomarkers. However, reports so far focused on single cancer entities, comprised relatively few cases and did not assess the long-term performance of experimental workflows. In this study, we analyze 1220 tumors from six cancer entities processed over the course of three years. Key findings include the need for a new normalization method ensuring equal and reproducible sample loading for LC-MS/MS analysis across cohorts, showing that tumors can, on average, be profiled to a depth of >4000 proteins and discovering that current software fails to process such large ion mobility-based online fractionated datasets. We report the first comprehensive pan-cancer proteome expression resource for FFPE material comprising 11,000 proteins which is of immediate utility to the scientific community, and can be explored via a web resource. It enables a range of analyses including quantitative comparisons of proteins between patients and cohorts, the discovery of protein fingerprints representing the tissue of origin or proteins enriched in certain cancer entities.
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