化学
代谢物
稳健性(进化)
代谢组学
代谢组
代谢途径
质量细胞仪
质谱法
生物系统
生物化学
计算机科学
代谢调节
系统生物学
动态范围
色谱法
离子
蛋白质稳态
生物信息学
生物
活细胞
计算生物学
蛋白质组学
细胞仪
仿形(计算机编程)
作者
Mingdu Luo,Tianzhang Kou,Yandong Yin,S. Kevin Zhou,Xiaolan Zhu,Xinhao Zeng,Junhao Hu,Zheng‐Jiang Zhu
出处
期刊:Nature Methods
[Nature Portfolio]
日期:2026-02-09
卷期号:23 (3): 585-595
标识
DOI:10.1038/s41592-025-02970-2
摘要
Current single-cell metabolomics approaches are limited by insufficient sensitivity, robustness and metabolite coverage. We present an ion mobility-resolved mass cytometry technology that integrates high-throughput single-cell injection with ion mobility-mass spectrometry for multidimensional metabolomic profiling. Ion mobility-enabled selective ion accumulation and cell superposition-based amplification strategies substantially enhance sensitivity, robustness and overall analytical performance. Combined with our computational tool, MetCell, this technology allows high-throughput analysis while achieving exceptional profiling depth, detecting over 5,000 metabolic peaks and annotating approximately 800 metabolites per cell-representing a 3-fold to 10-fold improvement over existing methods. It offers attomole-level sensitivity and captures a broad dynamic range of metabolites within individual cells. Applied to 45,603 primary liver cells from aging mice, it enabled accurate cell-type and cell-subtype annotation and revealed distinct metabolic states and heterogeneity in hepatocytes during aging. This platform sets a new benchmark for high-throughput single-cell metabolomics, advancing our understanding of metabolic heterogeneity at single-cell resolution.
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