Single-cell morphological tracking of cell states to identify small-molecule modulators of liver differentiation
We have developed a single-cell assay that combines Cell Painting-a morphological profiling assay-with trajectory inference analysis. We have applied this morphological trajectory inference to the bi-potent HepaRG liver progenitor cell line allowing us to track liver cell fate and map small-molecule-induced changes using a morphological atlas of liver cell differentiation. Our overarching goal is to demonstrate the potential of Cell Painting to study biological processes as continuous trajectories at the single-cell level, enhancing resolution and biological understanding. This work has identified small-molecule Src family kinase inhibitors that promote the differentiation of HepaRG cells toward a hepatocyte-like lineage as well as primary human hepatic progenitor cells toward a hepatocyte-like phenotype <i>in vitro</i>. These findings could significantly advance research on liver cell regeneration mechanisms and facilitate the development of cell-based and small-molecule therapies.
Authors
- Asier Unciti‐Broceta (ORCID: https://orcid.org/0000-0003-1029-2855)
- David C. Hay (ORCID: https://orcid.org/0000-0002-7593-5973)
- Rebecca E. Graham (ORCID: https://orcid.org/0000-0002-0590-4135)
- Victoria L. Gadd (ORCID: https://orcid.org/0000-0003-1819-8660)
- Stuart J. Forbes (ORCID: https://orcid.org/0000-0003-3715-2561)
- Neil O. Carragher (ORCID: https://orcid.org/0000-0001-5541-9747)
- Jesko Wagner (ORCID: https://orcid.org/0000-0001-9805-7192)
- Runshi Zheng
Institutions
- Edinburgh Cancer Research (GB)
- MRC Centre for Regenerative Medicine (GB)
- Institute of Genetics and Cancer (GB)
- University of Edinburgh (GB)
Publication Details
- Journal
- iScience
- Published
- 2025-01-23
- DOI
- https://doi.org/10.1016/j.isci.2025.111871
- Citations
- 7
- Primary Topic
- 3D Printing in Biomedical Research
- Type
- article
- Field-Weighted Citation Impact
- 4.72
Funders
- UK Regenerative Medicine Platform
- Medical Research Council