SEAM is a spatial single nuclear metabolomics method for dissecting tissue microenvironment

Spatial metabolomics can reveal intercellular heterogeneity and tissue organization. Here we report on the spatial single nuclear metabolomics (SEAM) method, a flexible platform combining high-spatial-resolution imaging mass spectrometry and a set of computational algorithms that can display multisc...

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Veröffentlicht in:	Nature methods 2021-10, Vol.18 (10), p.1223-1232
Hauptverfasser:	Yuan, Zhiyuan, Zhou, Qiming, Cai, Lesi, Pan, Lin, Sun, Weiliang, Qumu, Shiwei, Yu, Si, Feng, Jiaxin, Zhao, Hansen, Zheng, Yongchang, Shi, Minglei, Li, Shao, Chen, Yang, Zhang, Xinrong, Zhang, Michael Q.
Format:	Artikel
Sprache:	eng
Schlagworte:	631/114/2391 631/1647/1407/1555 631/61/320 Algorithms Animals Bioinformatics Biological Microscopy Biological research Biological Techniques Biology, Experimental Biomedical and Life Sciences Biomedical Engineering/Biotechnology Cellular Microenvironment Clustering Composition Computational Biology - methods Computer applications Fibrosis Hepatocytes Hepatocytes - physiology Heterogeneity Histology Humans Life Sciences Liver Liver - cytology Liver - physiology Liver Cirrhosis - metabolism Mass spectrometry Mass spectroscopy Metabolism Metabolomics Metabolomics - methods Methods Mice Microenvironments Proteomics Reproducibility of Results Scientific imaging Secondary ion mass spectrometry Single Molecule Imaging Spectroscopy Subpopulations Tissues Transcriptome Zonation
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