质谱成像
生物分子
质谱法
仿形(计算机编程)
分子成像
肿瘤异质性
蛋白质组学
计算机科学
计算生物学
化学
癌症
色谱法
生物
生物化学
基因
操作系统
生物技术
遗传学
体内
作者
Kyle D. Duncan,Helena Pětrošová,Julian J. Lum,David R. Goodlett
标识
DOI:10.1016/j.copbio.2024.103068
摘要
Profiling spatial distributions of lipids, metabolites, and proteins in tumors can reveal unique cellular microenvironments and provide molecular evidence for cancer cell dysfunction and proliferation. Mass spectrometry imaging (MSI) is a label-free technique that can be used to map biomolecules in tumors in situ. Here, we discuss current progress in applying MSI to uncover molecular heterogeneity in tumors. First, the analytical strategies to profile small molecules and proteins are outlined, and current methods for multimodal imaging to maximize biological information are highlighted. Second, we present and summarize biological insights obtained by MSI of tumor tissue. Finally, we discuss important considerations for designing MSI experiments and several current analytical challenges.
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