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

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 i...

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Autores principales: Zia, Silvia, Martini, Giulia, Pizzuti, Valeria, Maggio, Alessia, Simonazzi, Giuliana, Reschiglian, Pierluigi, Bonsi, Laura, Alviano, Francesco, Roda, Barbara, Zattoni, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8305015/
https://www.ncbi.nlm.nih.gov/pubmed/34209410
http://dx.doi.org/10.3390/mi12070782
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author Zia, Silvia
Martini, Giulia
Pizzuti, Valeria
Maggio, Alessia
Simonazzi, Giuliana
Reschiglian, Pierluigi
Bonsi, Laura
Alviano, Francesco
Roda, Barbara
Zattoni, Andrea
author_facet Zia, Silvia
Martini, Giulia
Pizzuti, Valeria
Maggio, Alessia
Simonazzi, Giuliana
Reschiglian, Pierluigi
Bonsi, Laura
Alviano, Francesco
Roda, Barbara
Zattoni, Andrea
author_sort Zia, Silvia
collection PubMed
description 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.
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spelling pubmed-83050152021-07-25 A New Predictive Technology for Perinatal Stem Cell Isolation Suited for Cell Therapy Approaches Zia, Silvia Martini, Giulia Pizzuti, Valeria Maggio, Alessia Simonazzi, Giuliana Reschiglian, Pierluigi Bonsi, Laura Alviano, Francesco Roda, Barbara Zattoni, Andrea Micromachines (Basel) Article 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. MDPI 2021-06-30 /pmc/articles/PMC8305015/ /pubmed/34209410 http://dx.doi.org/10.3390/mi12070782 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zia, Silvia
Martini, Giulia
Pizzuti, Valeria
Maggio, Alessia
Simonazzi, Giuliana
Reschiglian, Pierluigi
Bonsi, Laura
Alviano, Francesco
Roda, Barbara
Zattoni, Andrea
A New Predictive Technology for Perinatal Stem Cell Isolation Suited for Cell Therapy Approaches
title A New Predictive Technology for Perinatal Stem Cell Isolation Suited for Cell Therapy Approaches
title_full A New Predictive Technology for Perinatal Stem Cell Isolation Suited for Cell Therapy Approaches
title_fullStr A New Predictive Technology for Perinatal Stem Cell Isolation Suited for Cell Therapy Approaches
title_full_unstemmed A New Predictive Technology for Perinatal Stem Cell Isolation Suited for Cell Therapy Approaches
title_short A New Predictive Technology for Perinatal Stem Cell Isolation Suited for Cell Therapy Approaches
title_sort new predictive technology for perinatal stem cell isolation suited for cell therapy approaches
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8305015/
https://www.ncbi.nlm.nih.gov/pubmed/34209410
http://dx.doi.org/10.3390/mi12070782
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