蛋白质组学
马尔迪成像
计算生物学
计算机科学
基质辅助激光解吸/电离
化学
生物
生物化学
有机化学
吸附
解吸
基因
作者
Mengze Zhang,John A Abbey,Pierre Bost,Genki Usui,Simon Haefliger,Simone Muenst,Mark J. Lim,Gargey Yagnik,Natalie de Souza,Kenneth J. Rothschild,Bernd Bodenmiller
出处
期刊:
[Cold Spring Harbor Laboratory]
日期:2025-04-22
标识
DOI:10.1101/2025.04.18.649415
摘要
Highly multiplexed, antibody-based protein imaging of tissue has yielded many insights but does not yet allow the routine analysis of more than 50 markers simultaneously. By leveraging the ability of Matrix-Assisted Laser Desorption/Ionization (MALDI) imaging to resolve hundreds of m/z peaks without spectral overlap, MALDI-IHC with photocleavable mass-tag (PCMT)-labelled antibodies offers the possibility to dramatically increase the number of markers that can be imaged. Here, we demonstrate 100+ plex MALDI-IHC imaging and describe our development of gutenTAG, an open-source analysis pipeline for the resulting highly multiplex data. We validated a panel of 133 tumor-ecosystem-focused antibodies, show that it captures expected histopathology in diverse tissues, and demonstrate reproducibility of the method. We further applied a 120-plex subset of this panel to samples from an endometrial cancer cohort, again capturing expected histopathology and identifying novel spatial structures between TCGA molecular subtypes. Our work demonstrates the feasibility of simultaneously detecting hundreds of protein markers in a reproducible and scalable manner.
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