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A New Predictive Technology for Perinatal Stem Cell Isolation Suited for Cell Therapy Approaches

Authors :
Silvia Zia
Giulia Martini
Valeria Pizzuti
Alessia Maggio
Giuliana Simonazzi
Pierluigi Reschiglian
Laura Bonsi
Francesco Alviano
Barbara Roda
Andrea Zattoni
Source :
Micromachines, Vol 12, Iss 7, p 782 (2021)
Publication Year :
2021
Publisher :
MDPI AG, 2021.

Abstract

The use of stem cells for regenerative applications and immunomodulatory effect is increasing. Amniotic epithelial cells (AECs) possess embryonic-like proliferation ability and multipotent differentiation potential. Despite the simple isolation procedure, inter-individual variability and different isolation steps can cause differences in isolation yield and cell proliferation ability, compromising reproducibility observations among centers and further applications. We investigated the use of a new technology as a diagnostic tool for quality control on stem cell isolation. The instrument label-free separates cells based on their physical characteristics and, thanks to a micro-camera, generates a live fractogram, the fingerprint of the sample. Eight amniotic membranes were processed by trypsin enzymatic treatment and immediately analysed. Two types of profile were generated: a monomodal and a bimodal curve. The first one represented the unsuccessful isolation with all recovered cell not attaching to the plate; while for the second type, the isolation process was successful, but we discovered that only cells in the second peak were alive and resulted adherent. We optimized a Quality Control (QC) method to define the success of AEC isolation using the fractogram generated. This predictive outcome is an interesting tool for laboratories and cell banks that isolate and cryopreserve fetal annex stem cells for research and future clinical applications.

Details

Language :
English
ISSN :
2072666X
Volume :
12
Issue :
7
Database :
Directory of Open Access Journals
Journal :
Micromachines
Publication Type :
Academic Journal
Accession number :
edsdoj.5079f9a8d81c4d0ebd807c2ac7af9836
Document Type :
article
Full Text :
https://doi.org/10.3390/mi12070782