Cell quality evaluation with gene expression analysis of spheroids (3D) and adherent (2D) adipose stem cells

Francesco Moschella, Francesca Toia, Marta Di Simone, Marta Castiglia, Anna Barbara Di Stefano, Serena Meraviglia, Adriana Cordova, Federica Grisafi, Mileidys Perez-Alea, Francesco Moschella, Francesca Toia, Marta Castiglia, Anna Barbara Di Stefano, Federica Grisafi, Adriana Cordova

Risultato della ricerca: Articlepeer review

8 Citazioni (Scopus)

Abstract

Adipose stem cells (ASCs) represent a reliable source of stem cells with a widely demonstrated potential in regenerative medicine and tissue engineering applications. New recent insights suggest that three-dimensional (3D) models may closely mimic the native tissue properties; spheroids from adipose derived stem cells (SASCs) exhibit enhanced regenerative abilities compared with those of 2D models. Stem cell therapy success is determined by “cell-quality”; for this reason, the involvement of stress signals and cellular aging need to be further investigated. Here, we performed a comparative analysis of genes connected with stemness, aging, telomeric length and oxidative stress, in 3D and 2D primary cultures. The expression levels of stemness-related markers and anti-aging Sirtuin1 were significantly up-regulated (P < 0.001) in SASCs-3D while gene expression of aging-related p16INK4a was increased in ASCs-2D (P < 0.001). The 3D and 2D cultures also had a different gene expression profile for genes related to telomere maintenance (Shelterin complex, RNA Binding proteins and DNA repair genes) (P < 0.01 and P < 0.001) and oxidative stress (aldehyde dehydrogenase class1 and 3) (P < 0.05, P < 0.01 and P < 0.001) and presented a striking large variation in their cellular redox state. Based on our findings, we propose a “cell quality” model of SASCs, highlighting a precise molecular expression of several genes involved with stemness (SOX2, POU5F1 and NANOG), anti-aging (SIRT1), oxidative stress (ALDH3) and telomeres maintenance.
Lingua originaleEnglish
Numero di pagine10
RivistaGene
Stato di pubblicazionePublished - 2020

All Science Journal Classification (ASJC) codes

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