Deep-coverage single-cell metabolomics enabled by ion mobility-resolved mass cytometry

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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Publication Details

Journal
Nature Methods
Published
2026-02-09
DOI
https://doi.org/10.1038/s41592-025-02970-2
Primary Topic
Single-cell and spatial transcriptomics
Type
article
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article

Deep-coverage single-cell metabolomics enabled by ion mobility-resolved mass cytometry

Xinhao Zeng, Yandong Yin, S. Kevin Zhou, Junhao Hu et al.
Nature Methods
Single-cell and spatial transcriptomics
article

Deep-coverage single-cell metabolomics enabled by ion mobility-resolved mass cytometry

Xinhao Zeng, Yandong Yin, S. Kevin Zhou, Junhao Hu, Xuebin Zhu, Tianzhang Kou, Mingdu Luo, Zheng-Jiang Zhu
article en

Abstract

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.

Nature MethodsVol. 23(3)
Shanghai University (CN), Chinese Academy of Sciences (CN), Shanghai Institute of Organic Chemistry (CN), Shanghai Academy of Environmental Sciences (CN), University of Chinese Academy of Sciences (CN)
Openalex Percentile: Top 62%
Single-cell and spatial transcriptomics
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