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Single-cell mapping of lipid metabolites using an infrared probe in human-derived model systems

Author

Listed:
  • Yeran Bai

    (University of California
    Photothermal Spectroscopy Corp.)

  • Carolina M. Camargo

    (University of California)

  • Stella M. K. Glasauer

    (University of California)

  • Raymond Gifford

    (University of California)

  • Xinran Tian

    (University of California)

  • Andrew P. Longhini

    (University of California)

  • Kenneth S. Kosik

    (University of California)

Abstract

Understanding metabolic heterogeneity is the key to uncovering the underlying mechanisms of metabolic-related diseases. Current metabolic imaging studies suffer from limitations including low resolution and specificity, and the model systems utilized often lack human relevance. Here, we present a single-cell metabolic imaging platform to enable direct imaging of lipid metabolism with high specificity in various human-derived 2D and 3D culture systems. Through the incorporation of an azide-tagged infrared probe, selective detection of newly synthesized lipids in cells and tissue became possible, while simultaneous fluorescence imaging enabled cell-type identification in complex tissues. In proof-of-concept experiments, newly synthesized lipids were directly visualized in human-relevant model systems among different cell types, mutation status, differentiation stages, and over time. We identified upregulated lipid metabolism in progranulin-knockdown human induced pluripotent stem cells and in their differentiated microglia cells. Furthermore, we observed that neurons in brain organoids exhibited a significantly lower lipid metabolism compared to astrocytes.

Suggested Citation

  • Yeran Bai & Carolina M. Camargo & Stella M. K. Glasauer & Raymond Gifford & Xinran Tian & Andrew P. Longhini & Kenneth S. Kosik, 2024. "Single-cell mapping of lipid metabolites using an infrared probe in human-derived model systems," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-023-44675-0
    DOI: 10.1038/s41467-023-44675-0
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    References listed on IDEAS

    as
    1. Jiaze Yin & Lu Lan & Yi Zhang & Hongli Ni & Yuying Tan & Meng Zhang & Yeran Bai & Ji-Xin Cheng, 2021. "Nanosecond-resolution photothermal dynamic imaging via MHZ digitization and match filtering," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
    2. Lingyan Shi & Chaogu Zheng & Yihui Shen & Zhixing Chen & Edilson S. Silveira & Luyuan Zhang & Mian Wei & Chang Liu & Carmen Sena-Tomas & Kimara Targoff & Wei Min, 2018. "Optical imaging of metabolic dynamics in animals," Nature Communications, Nature, vol. 9(1), pages 1-17, December.
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