Integration of mass cytometry and mass spectrometry imaging for spatially resolved single-cell metabolic profiling

IF 36.1 1区 生物学 Q1 BIOCHEMICAL RESEARCH METHODS
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
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引用次数: 0

Abstract

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.

Abstract Image

Abstract Image

整合质谱和质谱成像技术,进行空间分辨单细胞代谢谱分析。
空间 omics 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的免疫分型相结合,在单个组织切片上揭示了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提高我们对组织层面代谢过程及其细胞成分之间相互作用的了解。
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来源期刊
Nature Methods
Nature Methods 生物-生化研究方法
CiteScore
58.70
自引率
1.70%
发文量
326
审稿时长
1 months
期刊介绍: Nature Methods is a monthly journal that focuses on publishing innovative methods and substantial enhancements to fundamental life sciences research techniques. Geared towards a diverse, interdisciplinary readership of researchers in academia and industry engaged in laboratory work, the journal offers new tools for research and emphasizes the immediate practical significance of the featured work. It publishes primary research papers and reviews recent technical and methodological advancements, with a particular interest in primary methods papers relevant to the biological and biomedical sciences. This includes methods rooted in chemistry with practical applications for studying biological problems.
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