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Oral Sessions
Day 3, June 24（Tue.） 13:55-14:10
Room C (Top of Yaima)
- 3C-O2-1355
Dynamic single-cell metabolomics platform and the application in cell-cell interaction
(Peking Univ.)
oYu Bai
Cellular heterogeneity plays an important role in many key biological processes such as tumor, aging, immunity and development, etc. From the perspective of metabolites, single-cell metabolomics helps to reveal the precise life activities and physiological states of individual cells, and achieve the analysis of cell heterogeneity and interactions in complex microenvironments of tissues 1. Based on the single cell work in our group, for example, single cell organic mass spectrometry 2 and in-depth organic mass cytometry 3, a dynamic single-cell metabolomics platform and an automated single-cell dynamic metabolomic data analysis platform were constructed. A total of 50 isotopic labeled metabolites were traced in single cells, disclosing the heterogeneity of metabolic activity among single cells. A linear neural network machine learning model based on metabolic features was successfully established for binary classification of tumor cells and macrophages. The analysis results not only disclosed the metabolic alterations of the two interactions but also unveiled the heterogeneity of macrophage differentiation in the tumor microenvironment.