4.6 Article

Aquaglyceroporin-3's Expression and Cellular Localization Is Differentially Modulated by Hypoxia in Prostate Cancer Cell Lines

Journal

CELLS
Volume 10, Issue 4, Pages -

Publisher

MDPI
DOI: 10.3390/cells10040838

Keywords

aquaporins; aquaglyceroporin-3; prostate cancer; hypoxia; translocation

Categories

Funding

  1. Wellcome Trust Institutional Support Fund (ISSF)
  2. Cardiff University School of Pharmacy
  3. Cardiff University

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Cells require aquaporins for rapid adaptation to changes in volume and osmotic pressure, as well as metabolic stimuli. The differential expression of AQP3 in prostate cancer cell panels suggests its importance in cellular adaptation to hypoxic conditions. Machine learning classification based on morphological and texture features can accurately distinguish between different cell lines and their exposure to hypoxia.
Aquaporins are required by cells to enable fast adaptation to volume and osmotic changes, as well as microenvironmental metabolic stimuli. Aquaglyceroporins play a crucial role in supplying cancer cells with glycerol for metabolic needs. Here, we show that AQP3 is differentially expressed in cells of a prostate cancer panel. AQP3 is located at the cell membrane and cytoplasm of LNCaP cell while being exclusively expressed in the cytoplasm of Du145 and PC3 cells. LNCaP cells show enhanced hypoxia growth; Du145 and PC3 cells display stress factors, indicating a crucial role for AQP3 at the plasma membrane in adaptation to hypoxia. Hypoxia, both acute and chronic affected AQP3 ' s cellular localization. These outcomes were validated using a machine learning classification approach of the three cell lines and of the six normoxic or hypoxic conditions. Classifiers trained on morphological features derived from cytoskeletal and nuclear labeling alongside corresponding texture features could uniquely identify each individual cell line and the corresponding hypoxia exposure. Cytoskeletal features were 70-90% accurate, while nuclear features allowed for 55-70% accuracy. Cellular texture features (73.9% accuracy) were a stronger predictor of the hypoxic load than the AQP3 distribution (60.3%).

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