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MetFlowChord

This is a code deposit for paper: A novel strategy for single-cell metabolic analysis highlights dynamic changes in immune subpopulations We use the circlize[1] package to draw the following chord graphs with R scripts

  1. Fig.1d Untreated PBMC celltype markers vs Metabolic markes plot: The spearman correlation value was calculated by the gMFI between each metabolic protein and each immune cell subset markers. It is between a cell type vs all others ( e.g. T CD8+ vs All Others cells ) by gMFI of each marker. Negative values of gMFI are replaced as 0 in the dataset (gMFI_data_Untreated.xlsx) before the spearman calculation. The

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  1. Fig.2c T cell Immuno vs Metabolic markers plot: Calculate the difference of CD4+ gMFI between activated and untreated T cells for each metabolic protein and each immune marker. Then we get the the spearman correlation between those metabolic and immune markers.

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Sources

  1. Zuguang Gu, Lei Gu, Roland Eils, Matthias Schlesner, Benedikt Brors, circlize Implements and enhances circular visualization in R. Bioinformatics (Oxford, England) 2014.

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