HT SpaceM: A high-throughput and reproducible method for small-molecule single-cell metabolomics
8.0
来源：
Cell
关键字：
brain-computer interface
发布时间：
2025-09-06 03:30
摘要：
HT SpaceM is a novel high-throughput method for single-cell metabolomics, capable of analyzing up to 40 samples simultaneously, detecting over 100 small-molecule metabolites per cell. This method addresses challenges in throughput and reproducibility in metabolomics, providing insights into metabolic heterogeneity across various cancer cell lines, including the NCI-60 panel. The research highlights the method's potential for clinical applications and its ability to uncover metabolic pathways and coordination at single-cell resolution.
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关键证据
HT SpaceM enables high-throughput single-cell metabolomics across 40 samples per slide.
Achieves high reproducibility between replicates and low variability in ion intensities.
Identified cell-type markers in subpopulations and metabolic hubs.
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AI评分总结
HT SpaceM is a novel high-throughput method for single-cell metabolomics, capable of analyzing up to 40 samples simultaneously, detecting over 100 small-molecule metabolites per cell. This method addresses challenges in throughput and reproducibility in metabolomics, providing insights into metabolic heterogeneity across various cancer cell lines, including the NCI-60 panel. The research highlights the method's potential for clinical applications and its ability to uncover metabolic pathways and coordination at single-cell resolution.