A spatial map of hepatic mitochondria uncovers functional heterogeneity shaped by nutrient-sensing signaling.


Journal

bioRxiv : the preprint server for biology
Titre abrégé: bioRxiv
Pays: United States
ID NLM: 101680187

Informations de publication

Date de publication:
26 Oct 2023
Historique:
pubmed: 19 6 2023
medline: 19 6 2023
entrez: 19 6 2023
Statut: epublish

Résumé

In the liver, mitochondria are exposed to different concentrations of nutrients due to their spatial positioning across the periportal (PP) and pericentral (PC) axis. How these mitochondria sense and integrate these signals to respond and maintain homeostasis is not known. Here, we combined intravital microscopy, spatial proteomics, and functional assessment to investigate mitochondrial heterogeneity in the context of liver zonation. We found that PP and PC mitochondria are morphologically and functionally distinct; beta-oxidation was elevated in PP regions, while lipid synthesis was predominant in the PC mitochondria. In addition, comparative phosphoproteomics revealed spatially distinct patterns of mitochondrial composition and potential regulation via phosphorylation. Acute pharmacological modulation of nutrient sensing through AMPK and mTOR shifted mitochondrial phenotypes in the PP and PC regions, linking nutrient gradients across the lobule and mitochondrial heterogeneity. This study highlights the role of protein phosphorylation in mitochondrial structure, function, and overall homeostasis in hepatic metabolic zonation. These findings have important implications for liver physiology and disease.

Identifiants

pubmed: 37333328
doi: 10.1101/2023.04.13.536717
pmc: PMC10274915
pii:
doi:

Types de publication

Preprint

Langues

eng

Déclaration de conflit d'intérêts

The authors have no conflicts to report.

Auteurs

Sun Woo Sophie Kang (SWS)

Cell Biology and Imaging Section, Thoracic and GI Malignancies Branch, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland, USA.

Rory P Cunningham (RP)

Cell Biology and Imaging Section, Thoracic and GI Malignancies Branch, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland, USA.

Colin B Miller (CB)

Cell Biology and Imaging Section, Thoracic and GI Malignancies Branch, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland, USA.

Lauryn A Brown (LA)

Cell Biology and Imaging Section, Thoracic and GI Malignancies Branch, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland, USA.

Constance M Cultraro (CM)

Cell Biology and Imaging Section, Thoracic and GI Malignancies Branch, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland, USA.

Adam Harned (A)

Center for Molecular Microscopy, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.
Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, Maryland, USA.

Kedar Narayan (K)

Center for Molecular Microscopy, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA.
Cancer Research Technology Program, Frederick National Laboratory for Cancer Research, Frederick, Maryland, USA.

Jonathan Hernandez (J)

Surgical Oncology Program, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland, USA.

Lisa M Jenkins (LM)

Laboratory of Cell Biology, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland, USA.

Alexei Lobanov (A)

CCR Collaborative Bioinformatics Resource (CCBR) National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland, USA.

Maggie Cam (M)

CCR Collaborative Bioinformatics Resource (CCBR) National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland, USA.

Natalie Porat-Shliom (N)

Cell Biology and Imaging Section, Thoracic and GI Malignancies Branch, National Cancer Institute (NCI), National Institutes of Health (NIH), Bethesda, Maryland, USA.

Classifications MeSH