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Osteoblastic/Cementoblastic and Neural Differentiation of Dental Stem Cells and Their Applications to Tissue Engineering and Regenerative Medicine

机译:牙体干细胞的成骨细胞/成牙骨质细胞和神经分化及其在组织工程和再生医学中的应用

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摘要

Recently, dental stem and progenitor cells have been harvested from periodontal tissues such as dental pulp, periodontal ligament, follicle, and papilla. These cells have received extensive attention in the field of tissue engineering and regenerative medicine due to their accessibility and multilineage differentiation capacity. These dental stem and progenitor cells are known to be derived from ectomesenchymal origin formed during tooth development. A great deal of research has been accomplished for directing osteoblastic/cementoblastic differentiation and neural differentiation from dental stem cells. To differentiate dental stem cells for use in tissue engineering and regenerative medicine, there needs to be efficient in vitro differentiation toward the osteoblastic/cementoblastic and neural lineage with well-defined and proficient protocols. This would reduce the likelihood of spontaneous differentiation into divergent lineages and increase the available cell source. This review focuses on the multilineage differentiation capacity, especially into osteoblastic/cementoblastic lineage and neural lineages, of dental stem cells such as dental pulp stem cells (DPSC), dental follicle stem cells (DFSC), periodontal ligament stem cells (PDLSC), and dental papilla stem cells (DPPSC). It also covers various experimental strategies that could be used to direct lineage-specific differentiation, and their potential applications in tissue engineering and regenerative medicine.
机译:最近,已经从诸如牙髓,牙周韧带,卵泡和乳头的牙周组织中收获了牙干和祖细胞。这些细胞由于其可及性和多系分化能力而在组织工程和再生医学领域受到广泛关注。已知这些牙齿干细胞和祖细胞源自牙齿发育过程中形成的外胚层来源。从牙干细胞指导成骨/胶质母细胞分化和神经分化的研究已经完成。为了区分用于组织工程和再生医学的牙科干细胞,需要通过定义明确且精通的方案向成骨细胞/水泥母细胞和神经谱系进行有效的体外分化。这将减少自发分化为不同谱系的可能性,并增加可用的细胞来源。这篇综述着眼于牙齿干细胞的多向分化能力,尤其是成骨细胞/水泥母细胞和神经系,如牙髓干细胞(DPSC),卵泡干细胞(DFSC),牙周膜干细胞(PDLSC)和牙乳头干细胞(DPPSC)。它还涵盖了可用于指导谱系特异性分化的各种实验策略,及其在组织工程和再生医学中的潜在应用。

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