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Spatial mapping of mitochondrial networks and bioenergetics in lung cancer

Author

Listed:
  • Mingqi Han

    (University of California Los Angeles (UCLA))

  • Eric A. Bushong

    (University of California San Diego (UCSD)
    UCSD)

  • Mayuko Segawa

    (University of Cambridge)

  • Alexandre Tiard

    (UCLA)

  • Alex Wong

    (Yale University)

  • Morgan R. Brady

    (University of California Los Angeles (UCLA))

  • Milica Momcilovic

    (University of California Los Angeles (UCLA))

  • Dane M. Wolf

    (University of Cambridge
    Imperial College)

  • Ralph Zhang

    (University of California Los Angeles (UCLA))

  • Anton Petcherski

    (DGSOM UCLA)

  • Matthew Madany

    (University of California San Diego (UCSD)
    UCSD)

  • Shili Xu

    (UCLA
    UCLA
    UCLA)

  • Jason T. Lee

    (UCLA
    UCLA
    UCLA
    Stanford University)

  • Masha V. Poyurovsky

    (Kadmon Corporation)

  • Kellen Olszewski

    (Kadmon Corporation)

  • Travis Holloway

    (UCLA)

  • Adrian Gomez

    (UCLA)

  • Maie St. John

    (UCLA
    DGSOM UCLA)

  • Steven M. Dubinett

    (University of California Los Angeles (UCLA)
    UCLA
    UCLA
    DGSOM UCLA)

  • Carla M. Koehler

    (UCLA
    UCLA)

  • Orian S. Shirihai

    (DGSOM UCLA
    UCLA
    UCLA)

  • Linsey Stiles

    (DGSOM UCLA
    UCLA)

  • Aaron Lisberg

    (UCLA
    DGSOM UCLA)

  • Stefano Soatto

    (UCLA)

  • Saman Sadeghi

    (McMaster University)

  • Mark H. Ellisman

    (University of California San Diego (UCSD)
    UCSD)

  • David B. Shackelford

    (University of California Los Angeles (UCLA)
    UCLA)

Abstract

Mitochondria are critical to the governance of metabolism and bioenergetics in cancer cells1. The mitochondria form highly organized networks, in which their outer and inner membrane structures define their bioenergetic capacity2,3. However, in vivo studies delineating the relationship between the structural organization of mitochondrial networks and their bioenergetic activity have been limited. Here we present an in vivo structural and functional analysis of mitochondrial networks and bioenergetic phenotypes in non-small cell lung cancer (NSCLC) using an integrated platform consisting of positron emission tomography imaging, respirometry and three-dimensional scanning block-face electron microscopy. The diverse bioenergetic phenotypes and metabolic dependencies we identified in NSCLC tumours align with distinct structural organization of mitochondrial networks present. Further, we discovered that mitochondrial networks are organized into distinct compartments within tumour cells. In tumours with high rates of oxidative phosphorylation (OXPHOSHI) and fatty acid oxidation, we identified peri-droplet mitochondrial networks wherein mitochondria contact and surround lipid droplets. By contrast, we discovered that in tumours with low rates of OXPHOS (OXPHOSLO), high glucose flux regulated perinuclear localization of mitochondria, structural remodelling of cristae and mitochondrial respiratory capacity. Our findings suggest that in NSCLC, mitochondrial networks are compartmentalized into distinct subpopulations that govern the bioenergetic capacity of tumours.

Suggested Citation

  • Mingqi Han & Eric A. Bushong & Mayuko Segawa & Alexandre Tiard & Alex Wong & Morgan R. Brady & Milica Momcilovic & Dane M. Wolf & Ralph Zhang & Anton Petcherski & Matthew Madany & Shili Xu & Jason T. , 2023. "Spatial mapping of mitochondrial networks and bioenergetics in lung cancer," Nature, Nature, vol. 615(7953), pages 712-719, March.
  • Handle: RePEc:nat:nature:v:615:y:2023:i:7953:d:10.1038_s41586-023-05793-3
    DOI: 10.1038/s41586-023-05793-3
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    Citations

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    Cited by:

    1. Lin-Lin Zhou & Tao Zhang & Yun Xue & Chuan Yue & Yihui Pan & Pengyu Wang & Teng Yang & Meixia Li & Hu Zhou & Kan Ding & Jianhua Gan & Hongbin Ji & Cai-Guang Yang, 2023. "Selective activator of human ClpP triggers cell cycle arrest to inhibit lung squamous cell carcinoma," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    2. Güneş Parlakgül & Song Pang & Leonardo L. Artico & Nina Min & Erika Cagampan & Reyna Villa & Renata L. S. Goncalves & Grace Yankun Lee & C. Shan Xu & Gökhan S. Hotamışlıgil & Ana Paula Arruda, 2024. "Spatial mapping of hepatic ER and mitochondria architecture reveals zonated remodeling in fasting and obesity," Nature Communications, Nature, vol. 15(1), pages 1-18, December.
    3. Kei, Yik Lun & Chen, Yanzhen & Madrid Padilla, Oscar Hernan, 2023. "A partially separable model for dynamic valued networks," Computational Statistics & Data Analysis, Elsevier, vol. 187(C).

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