| Literature DB >> 33467440 |
Francesca Casciaro1,2,3, Silvia Zia4, Mattia Forcato5, Manuela Zavatti1, Francesca Beretti1, Emma Bertucci6, Andrea Zattoni7, Pierluigi Reschiglian7, Francesco Alviano8, Laura Bonsi8, Matilde Yung Follo2, Marco Demaria3, Barbara Roda7, Tullia Maraldi1.
Abstract
Human amniotic fluid stem cells (hAFSCs) are broadly multipotent immature progenitor cells with high self-renewal and no tumorigenic properties. These cells, even amplified, present very variable morphology, density, intracellular composition and stemness potential, and this heterogeneity can hinder their characterization and potential use in regenerative medicine. Celector® (Stem Sel ltd.) is a new technology that exploits the Non-Equilibrium Earth Gravity Assisted Field Flow Fractionation principles to characterize and label-free sort stem cells based on their solely physical characteristics without any manipulation. Viable cells are collected and used for further studies or direct applications. In order to understand the intrapopulation heterogeneity, various fractions of hAFSCs were isolated using the Celector® profile and live imaging feature. The gene expression profile of each fraction was analysed using whole-transcriptome sequencing (RNAseq). Gene Set Enrichment Analysis identified significant differential expression in pathways related to Stemness, DNA repair, E2F targets, G2M checkpoint, hypoxia, EM transition, mTORC1 signalling, Unfold Protein Response and p53 signalling. These differences were validated by RT-PCR, immunofluorescence and differentiation assays. Interestingly, the different fractions showed distinct and unique stemness properties. These results suggest the existence of deep intra-population differences that can influence the stemness profile of hAFSCs. This study represents a proof-of-concept of the importance of selecting certain cellular fractions with the highest potential to use in regenerative medicine.Entities:
Keywords: amniotic fluid stem cells; sorting; stemness; transcriptome
Year: 2021 PMID: 33467440 PMCID: PMC7830644 DOI: 10.3390/cells10010158
Source DB: PubMed Journal: Cells ISSN: 2073-4409 Impact factor: 6.600