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Integrative single-cell metabolomics and phenotypic profiling reveals metabolic heterogeneity of cellular oxidation and senescence

Author

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  • Ziyi Wang

    (University of Science and Technology of China)

  • Siyuan Ge

    (University of Science and Technology of China)

  • Tiepeng Liao

    (University of Science and Technology of China)

  • Man Yuan

    (University of Science and Technology of China)

  • Wenwei Qian

    (University of Science and Technology of China)

  • Qi Chen

    (University of Science and Technology of China)

  • Wei Liang

    (University of Science and Technology of China)

  • Xiawei Cheng

    (East China University of Science and Technology)

  • Qinghua Zhou

    (Jinan University)

  • Zhenyu Ju

    (Jinan University)

  • Hongying Zhu

    (University of Science and Technology of China
    Hefei Comprehensive National Science Center
    CAS Key Laboratory of Brain Function and Disease
    Anhui Province Key Laboratory of Biomedical Aging Research)

  • Wei Xiong

    (University of Science and Technology of China
    Hefei Comprehensive National Science Center
    CAS Key Laboratory of Brain Function and Disease
    Anhui Province Key Laboratory of Biomedical Aging Research)

Abstract

Emerging evidence has unveiled heterogeneity in phenotypic and transcriptional alterations at the single-cell level during oxidative stress and senescence. Despite the pivotal roles of cellular metabolism, a comprehensive elucidation of metabolomic heterogeneity in cells and its connection with cellular oxidative and senescent status remains elusive. By integrating single-cell live imaging with mass spectrometry (SCLIMS), we establish a cross-modality technique capturing both metabolome and oxidative level in individual cells. The SCLIMS demonstrates substantial metabolomic heterogeneity among cells with diverse oxidative levels. Furthermore, the single-cell metabolome predicted heterogeneous states of cells. Remarkably, the pre-existing metabolomic heterogeneity determines the divergent cellular fate upon oxidative insult. Supplementation of key metabolites screened by SCLIMS resulted in a reduction in cellular oxidative levels and an extension of C. elegans lifespan. Altogether, SCLIMS represents a potent tool for integrative metabolomics and phenotypic profiling at the single-cell level, offering innovative approaches to investigate metabolic heterogeneity in cellular processes.

Suggested Citation

  • Ziyi Wang & Siyuan Ge & Tiepeng Liao & Man Yuan & Wenwei Qian & Qi Chen & Wei Liang & Xiawei Cheng & Qinghua Zhou & Zhenyu Ju & Hongying Zhu & Wei Xiong, 2025. "Integrative single-cell metabolomics and phenotypic profiling reveals metabolic heterogeneity of cellular oxidation and senescence," Nature Communications, Nature, vol. 16(1), pages 1-22, December.
  • Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-57992-3
    DOI: 10.1038/s41467-025-57992-3
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