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The potential of exosomes as a tool to guide human pluripotent stem cells to insulin producing cells.

The ability of human pluripotent stem cells (hPSCs) to differentiate into different types of cells has been regarded as a significant discovery in the development of cell replacement therapy for type 1 diabetic patients. MicroRNAs can be transported to recipient cells via vesicles, so-called exosomes. Exosomal microRNA differ from those of the parent cells suggesting that cells possess an active selecting mechanism of exosomes and their contents. Therefore, microRNAs may directly or indirectly regulate the expression of pancreatic islet-specific transcription factors to control the differentiation and maturation of pancreatic islet cells. In this study, the dynamic expression of exosomal and intracellular microRNAs from human pancreatic islets were analyzed and were compared with that in stem cell-derived islet-like clusters. The study also aimed to analyze the expression levels of intracellular microRNA in human pancreatic islets and stem cell-derived islet-like clusters compared to exosomal microRNA extracted from human islet media and stem cell media, respectively. The primary method of exosome extraction was ultracentrifugation, followed by microRNA isolation using a kit. The exosomes were then characterized with NTA, and the isolated microRNAs were detected using RT-qPCR. The results showed that the expression of microRNAs was generally low in human islets compared to isolated exosomes. The microRNA expression levels in stem cell-derived islet-like clusters and their respective isolated exosomes were also analyzed and it showed that let-7a, miR-375 and miR-26a were more abundant in exosomes. The results can contribute to the generation of more functional stem cell-derived islet-like cell clusters prepared from hPSCs to some extent. However, continued research in this area is required.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:uu-528736
Date January 2024
CreatorsMohamed, Idil
PublisherUppsala universitet, Institutionen för medicinsk cellbiologi
Source SetsDiVA Archive at Upsalla University
LanguageSwedish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess

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