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Multi-molecular hyperspectral PRM-SRS microscopy

Author

Listed:
  • Wenxu Zhang

    (University of California San Diego)

  • Yajuan Li

    (University of California San Diego)

  • Anthony A. Fung

    (University of California San Diego)

  • Zhi Li

    (University of California San Diego)

  • Hongje Jang

    (University of California San Diego)

  • Honghao Zha

    (University of California San Diego)

  • Xiaoping Chen

    (Northwestern University School of Medicine)

  • Fangyuan Gao

    (University of California Irvine)

  • Jane Y. Wu

    (Northwestern University School of Medicine)

  • Huaxin Sheng

    (Duke University School of Medicine)

  • Junjie Yao

    (Duke University)

  • Dorota Skowronska-Krawczyk

    (University of California Irvine)

  • Sanjay Jain

    (Washington University in St. Louis
    Washington University in St. Louis
    Washington University in St. Louis)

  • Lingyan Shi

    (University of California San Diego)

Abstract

Lipids play crucial roles in many biological processes. Mapping spatial distributions and examining the metabolic dynamics of different lipid subtypes in cells and tissues are critical to better understanding their roles in aging and diseases. Commonly used imaging methods (such as mass spectrometry-based, fluorescence labeling, conventional optical imaging) can disrupt the native environment of cells/tissues, have limited spatial or spectral resolution, or cannot distinguish different lipid subtypes. Here we present a hyperspectral imaging platform that integrates a Penalized Reference Matching algorithm with Stimulated Raman Scattering (PRM-SRS) microscopy. Using this platform, we visualize and identify high density lipoprotein particles in human kidney, a high cholesterol to phosphatidylethanolamine ratio inside granule cells of mouse hippocampus, and subcellular distributions of sphingosine and cardiolipin in human brain. Our PRM-SRS displays unique advantages of enhanced chemical specificity, subcellular resolution, and fast data processing in distinguishing lipid subtypes in different organs and species.

Suggested Citation

  • Wenxu Zhang & Yajuan Li & Anthony A. Fung & Zhi Li & Hongje Jang & Honghao Zha & Xiaoping Chen & Fangyuan Gao & Jane Y. Wu & Huaxin Sheng & Junjie Yao & Dorota Skowronska-Krawczyk & Sanjay Jain & Ling, 2024. "Multi-molecular hyperspectral PRM-SRS microscopy," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-45576-6
    DOI: 10.1038/s41467-024-45576-6
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    References listed on IDEAS

    as
    1. Blue B. Lake & Rajasree Menon & Seth Winfree & Qiwen Hu & Ricardo Melo Ferreira & Kian Kalhor & Daria Barwinska & Edgar A. Otto & Michael Ferkowicz & Dinh Diep & Nongluk Plongthongkum & Amanda Knoten , 2023. "An atlas of healthy and injured cell states and niches in the human kidney," Nature, Nature, vol. 619(7970), pages 585-594, July.
    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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