Fig. 1: The cross-modality analysis platform integrating single-cell metabolome and cellular phenotype. | Nature Communications

Fig. 1: The cross-modality analysis platform integrating single-cell metabolome and cellular phenotype.

From: Integrative single-cell metabolomics and phenotypic profiling reveals metabolic heterogeneity of cellular oxidation and senescence

Fig. 1

a A workflow and experimental setup of the cross-modality analysis. Cells were first labeled with DCFDA and photographed with a fluorescent microscope, followed by sampling and single-cell MS analysis. The oxidative levels were reflected by DCFDA fluorescent intensity and the metabolic information was acquired by SCMS. b Heatmap showing relative abundance of representative metabolites corresponding to single-cell DCFDA intensity. DCFDA intensity was indicated by color: dark green, relative high intensity; light green, relative low intensity. Metabolite abundance was represented by color: red, relative high abundance; blue, relative low abundance. c–e PCA score plot (c), UMAP analysis (d), and tSNE analysis (e) showing no significant difference in metabolome of DCFDA incubated (n = 257, pink) and non-incubated cells (n = 325, blue). f Correlation heatmap illustrating Pearson’s correlation coefficient (r) between metabolites in non-incubated (left, n = 325) and DCFDA incubated (right, n = 257) cells. Glutamate was correlated with GABA and glutamine (inset). Two-sided Pearson’s correlation analysis was performed. P values were not adjusted. For (c–e), Source data are provided as Source Data files.

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