Aspects of zone-like identity and holotomographic tracking of human stem cell-derived liver sinusoidal endothelial cells
Holotomography and developed machine learning-based algorithm for image processing allowed us to describe and monitor changes in intracellular pore-like structures over time. Finally, we tested the possibility of inducing aspects of zone-specific LSEC phenotype and metabolism using culture-based treatments, which resulted in modest shifts in marker expression and metabolic activity. The presented strategy provides an advanced tool kit for investigating liver endothelial cells.
Authors
- Stefan Johannes Karl Krauss (ORCID: https://orcid.org/0000-0001-6992-8091)
- Petter Angell Olsen (ORCID: https://orcid.org/0000-0001-6976-5472)
- Andrea Dalmao‐Fernández (ORCID: https://orcid.org/0000-0003-4465-9328)
- Aleksandra Aizenshtadt (ORCID: https://orcid.org/0000-0003-1642-9250)
- Ingrid Wilhelmsen (ORCID: https://orcid.org/0009-0009-5285-0932)
- Thomas Combriat (ORCID: https://orcid.org/0000-0001-7991-3774)
- Justyna Stokowiec
- Mikel Amirola-Martinez
- Katharina Ferencevic
Institutions
- Oslo University Hospital (NO)
- University of Oslo (NO)
- 657 Oslo (NO)
Publication Details
- Journal
- Frontiers in Cell and Developmental Biology
- Published
- 2025-10-17
- DOI
- https://doi.org/10.3389/fcell.2025.1528991
- Primary Topic
- Spaceflight effects on biology
- Type
- article
- Field-Weighted Citation Impact
- 0.00