质量细胞仪
质谱法
质谱成像
仿形(计算机编程)
化学
流式细胞术
计算生物学
色谱法
生物
分子生物学
生物化学
计算机科学
表型
基因
操作系统
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
出处
期刊:Nature Methods
[Nature Portfolio]
日期:2024-08-29
卷期号:21 (10): 1796-1800
被引量:46
标识
DOI:10.1038/s41592-024-02392-6
摘要
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. The authors present a workflow integrating imaging mass cytometry and imaging mass spectrometry to deconvolute metabolic heterogeneity at the single-cell level.
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