Comparative capability of menstrual blood versus bone marrow derived stem cells in neural differentiation View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2017-02

AUTHORS

Fereshteh Azedi, Somaieh Kazemnejad, Amir Hassan Zarnani, Masoud Soleimani, Amir Shojaei, Shaghayegh Arasteh

ABSTRACT

In order to characterize the potency of menstrual blood stem cells (MenSCs) for future cell therapy of neurological disorders instead of bone marrow stem cells (BMSCs) as a well-known and conventional source of adult stem cells, we examined the in vitro differentiation potential of these stem cells into neural-like cells. The differentiation potential of MenSCs to neural cells in comparison with BMSCs was assessed under two step neural differentiation including conversion to neurosphere-like cells and final differentiation. The expression levels of Nestin, Microtubule-associated protein 2, gamma-aminobutyric acid type B receptor subunit 1 and 2, and Tubulin, beta 3 class III mRNA and/or protein were up-regulated during development of MenSCs into neurosphere-like cells (NSCs) and neural-like cells. The up-regulation level of these markers in differentiated neural-like cells from MenSCs was comparable with differentiated cells from BMSCs. Moreover, both differentiated MenSCs and BMSCs expressed high levels of potassium, calcium and sodium channel genes developing functional channels with electrophysiological recording. For the first time, we demonstrated that MenSCs are a unique cell population with differentiation ability into neural-like cells comparable to BMSCs. In addition, we have introduced an approach to generate NSCs from MenSCs and BMSCs and their further differentiation into neural-like cells in vitro. Our results hold a promise to future stem cell therapy of neurological disorders using NSCs derived from menstrual blood, an accessible source in every woman. More... »

PAGES

169-182

References to SciGraph publications

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  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s11033-016-4095-7

    DOI

    http://dx.doi.org/10.1007/s11033-016-4095-7

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1001811908

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/27981446


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