Expansion of Human Limbal Epithelial Stem/Progenitor Cells Using Different Human Sera: A Multivariate Statistical Analysis.
Raquel Hernáez-MoyaSheyla GonzálezArantza UrkaregiJose Ignacio PijoanSophie X DengNoelia AndolloPublished in: International journal of molecular sciences (2020)
Transplantation of human cultured limbal epithelial stem/progenitor cells (LESCs) has demonstrated to restore the integrity and functionality of the corneal surface in about 76% of patients with limbal stem cell deficiency. However, there are different protocols for the expansion of LESCs, and many of them use xenogeneic products, being a risk for the patients' health. We compared the culture of limbal explants on the denuded amniotic membrane in the culture medium-supplemental hormone epithelial medium (SHEM)-supplemented with FBS or two differently produced human sera. Cell morphology, cell size, cell growth rate, and the expression level of differentiation and putative stem cell markers were examined. Several bioactive molecules were quantified in the human sera. In a novel approach, we performed a multivariate statistical analysis of data to investigate the culture factors, such as differently expressed molecules of human sera that specifically influence the cell phenotype. Our results showed that limbal cells cultured with human sera grew faster and contained similar amounts of small-sized cells, higher expression of the protein p63α, and lower of cytokeratin K12 than FBS cultures, thus, maintaining the stem/progenitor phenotype of LESCs. Furthermore, the multivariate analysis provided much data to better understand the obtaining of different cell phenotypes as a consequence of the use of different culture methodologies or different culture components.
Keyphrases
- endothelial cells
- stem cells
- induced pluripotent stem cells
- cell therapy
- pluripotent stem cells
- end stage renal disease
- single cell
- healthcare
- public health
- oxidative stress
- chronic kidney disease
- machine learning
- mesenchymal stem cells
- signaling pathway
- social media
- small molecule
- cell proliferation
- peritoneal dialysis
- big data
- long non coding rna
- risk assessment
- health information
- protein protein