Transcriptomic profiling of human pluripotent stem cell-derived retinal pigment epithelium over time
- Author(s)
- Lidgerwood, GE; Senabouth, A; Smith-Anttila, CJA; Gnanasambandapillai, V; Kaczorowski, DC; Amann-Zalcenstein, D; Fletcher, EL; Naik, SH; Hewitt, AW; Powell, JE; Pebay, A;
- Journal Title
- Genomics, Proteomics & Bioinformatics
- Publication Type
- epub ahead of print
- Abstract
- Human pluripotent stem cell (hPSC)-derived progenies are immature versions of cells, presenting a potential limitation to the accurate modelling of diseases associated with maturity or age. Hence, it is important to characterise how closely cells used in culture resemble their native counterparts. In order to select appropriate time points of retinal pigment epithelium (RPE) cultures that reflect native counterparts, we characterised the transcriptomic profiles of the hPSC-derived RPE cells from 1- and 12-month cultures. We differentiated the human embryonic stem cell line H9 into RPE cells, performed single-cell RNA-sequencing of a total of 16,576 cells to assess the molecular changes of the RPE cells across these two culture time points. Our results indicate the stability of the RPE transcriptomic signature, with no evidence of an epithelial-mesenchymal transition, and with the maturing populations of the RPE observed with time in culture. Assessment of Gene Ontology pathways revealed that as the cultures age, RPE cells upregulate expression of genes involved in metal binding and antioxidant functions. This might reflect an increased ability to handle oxidative stress as cells mature. Comparison with native human RPE data confirms a maturing transcriptional profile of RPE cells in culture. These results suggest that long-term in vitro culture of RPE cells allows the modelling of specific phenotypes observed in native mature tissues. Our work highlights the transcriptional landscape of hPSC-derived RPE cells as they age in culture, which provides a reference for native and patient samples to be benchmarked against.
- Research Division(s)
- Advanced Technology And Biology; Immunology
- PubMed ID
- 33307245
- Publisher's Version
- https://doi.org/10.1016/j.gpb.2020.08.002
- Open Access at Publisher's Site
https://doi.org/10.1016/j.gpb.2020.08.002- Terms of Use/Rights Notice
- Refer to copyright notice on published article.
Creation Date: 2021-11-09 10:48:08
Last Modified: 2021-11-09 10:59:03