Spatial patterns of hepatocyte glucose flux revealed by stable isotope tracing and multi-scale microscopy
Aliyah Habashy,
Christopher Acree,
Keun-Young Kim,
Ali Zahraei,
Martin Dufresne,
Sebastien Phan,
Melanie Cutler,
Emilee Patterson,
Alexandra G. Mulligan,
Kristopher Burkewitz,
Charles Robert Flynn,
Louise Lantier,
Thomas Deerinck,
Owen P. McGuinness,
Jeffrey M. Spraggins,
Mark H. Ellisman and
Rafael Arrojo e Drigo ()
Additional contact information
Aliyah Habashy: Vanderbilt University
Christopher Acree: Vanderbilt University
Keun-Young Kim: University of California San Diego, School of Medicine
Ali Zahraei: Vanderbilt University
Martin Dufresne: Vanderbilt University
Sebastien Phan: University of California San Diego, School of Medicine
Melanie Cutler: Vanderbilt University
Emilee Patterson: Vanderbilt University
Alexandra G. Mulligan: Vanderbilt University
Kristopher Burkewitz: Vanderbilt University
Charles Robert Flynn: Vanderbilt University Medical Center
Louise Lantier: Vanderbilt University
Thomas Deerinck: University of California San Diego, School of Medicine
Owen P. McGuinness: Vanderbilt University
Jeffrey M. Spraggins: Vanderbilt University
Mark H. Ellisman: University of California San Diego, School of Medicine
Rafael Arrojo e Drigo: Vanderbilt University
Nature Communications, 2025, vol. 16, issue 1, 1-16
Abstract:
Abstract Metabolic homeostasis requires engagement of catabolic and anabolic pathways consuming nutrients that generate and consume energy and biomass. Our current understanding of cell homeostasis and metabolism, including how cells utilize nutrients, comes largely from tissue and cell models analyzed after fractionation, and that fail to reveal the spatial characteristics of cell metabolism, and how these aspects relate to the location of cells and organelles within tissue microenvironments. Here we show the application of multi-scale microscopy, machine learning-based image segmentation, and spatial analysis tools to quantitatively map the fate of nutrient-derived 13C atoms across spatiotemporal scales. This approach reveals the cellular and organellar features underlying the spatial pattern of glucose 13C flux in hepatocytes in situ, including the timeline of mitochondria-ER contact dynamics in response to changes in blood glucose levels, and the discovery of the ultrastructural relationship between glycogenesis and lipid droplets.
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-60994-w
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DOI: 10.1038/s41467-025-60994-w
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