质谱流式分析和质谱成像的集成，用于空间分辨的单细胞代谢分析。
Integration of mass cytometry and mass spectrometry imaging for spatially resolved single-cell metabolic profiling.
发表日期：2024 Aug 29
作者：
Joana B Nunes, Marieke E Ijsselsteijn, Tamim Abdelaal, Rick Ursem, Manon van der Ploeg, Martin Giera, Bart Everts, Ahmed Mahfouz, Bram Heijs, Noel F C C de Miranda
来源：
NATURE METHODS
摘要：
空间组学技术的整合可以为组织生物学提供重要的见解。在这里，我们将基于质谱成像的代谢组学和基于成像质谱流式分析的免疫表型结合在单个组织切片上，以揭示组织内单细胞分辨率的代谢异质性及其与特定细胞群（如癌细胞或免疫细胞）的关联。这种方法有可能大大增加我们对代谢过程及其细胞成分之间组织水平相互作用的理解。© 2024。作者。
The integration of spatial omics technologies can provide important insights into the biology of tissues. Here we combined mass spectrometry imaging-based metabolomics and imaging mass cytometry-based immunophenotyping on a single tissue section to reveal metabolic heterogeneity at single-cell resolution within tissues and its association with specific cell populations such as cancer cells or immune cells. This approach has the potential to greatly increase our understanding of tissue-level interplay between metabolic processes and their cellular components.© 2024. The Author(s).