Integrative single-cell metabolomics and phenotypic profiling reveals metabolic heterogeneity of cellular oxidation and senescence
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.
Authors
- Tiepeng Liao (ORCID: https://orcid.org/0000-0003-0231-4401)
- Qinghua Zhou (ORCID: https://orcid.org/0000-0003-0468-9266)
- Xiawei Cheng (ORCID: https://orcid.org/0000-0003-1833-9937)
- Zhenyu Ju (ORCID: https://orcid.org/0009-0007-4550-4543)
- Hongying Zhu
- Wei Xiong (ORCID: https://orcid.org/0000-0002-1585-3749)
- Wei Liang (ORCID: https://orcid.org/0000-0001-5599-408X)
- Qi Chen (ORCID: https://orcid.org/0000-0002-4978-1974)
- Si-Yuan Ge
- Man Yuan (ORCID: https://orcid.org/0000-0003-3695-0801)
- Wenwei Qian (ORCID: https://orcid.org/0000-0002-0979-7568)
- Ziyi Wang (ORCID: https://orcid.org/0000-0002-9604-0335)
Institutions
- University of Science and Technology of China (CN)
- Anhui Agricultural University (CN)
- East China University of Science and Technology (CN)
- Anhui University (CN)
- Jinan University (CN)
- National Science Centre (PL)
Publication Details
- Journal
- Nature Communications
- Published
- 2025-03-20
- DOI
- https://doi.org/10.1038/s41467-025-57992-3
- Citations
- 30
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 24.18