Fast and efficient differentiation of mouse embryonic stem cells into ATP-responsive astrocytes

Juneja, D. S., Nasuto, S. ORCID: https://orcid.org/0000-0001-9414-9049 and Delivopoulos, E. ORCID: https://orcid.org/0000-0001-6156-1133 (2020) Fast and efficient differentiation of mouse embryonic stem cells into ATP-responsive astrocytes. Frontiers in Cellular Neuroscience, 13. 579. ISSN 1662-5102 doi: 10.3389/fncel.2019.00579

Abstract/Summary

Astrocytes are multifunctional cells in the CNS, involved in the regulation of neurovascular coupling, the modulation of electrolytes and the cycling of neurotransmitters at synapses. Induction of astrocytes from stem cells remains a largely underdeveloped area, as current protocols are time consuming, lack granularity in astrocytic subtype generation and often are not as efficient as neural induction methods. In this paper we present an efficient method to differentiate astrocytes from mouse embryonic stem cells. Our technique uses a cell suspension protocol to produce embryoid bodies (EBs) that are neurally inducted and seeded onto laminin coated surfaces. Plated EBs attach to the surface and release migrating cells to their surrounding environment, which are further inducted into the astrocytic lineage, through an optimized, heparin-based media. Characterization and functional assessment of the cells consists of immunofluorescent labelling for specific astrocytic proteins and sensitivity to ATP stimulation. Our experimental results show that even at the earliest stages of the protocol, cells are positive for astrocytic markers (GFAP, ALDH1L1, S100β, GLAST) with variant expression patterns and purinergic receptors (P2Y). Generated astrocytes also exhibit differential Ca2+ transients upon stimulation with ATP, which evolve over the differentiation period. Metabotropic purinoceptors P2Y1R are expressed and we offer preliminary evidence that metabotropic purinoceptors contribute to Ca2+ transients. Our protocol is simple, efficient and fast, facilitating its use in multiple investigations, particularly in vitro studies of engineered neural networks.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/88015
Identification Number/DOI	10.3389/fncel.2019.00579
Refereed	Yes
Divisions	Life Sciences > School of Biological Sciences > Department of Bio-Engineering
Publisher	Frontiers
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