4.7 Review

Urine-derived induced pluripotent/neural stem cells for modeling neurological diseases

Journal

CELL AND BIOSCIENCE
Volume 11, Issue 1, Pages -

Publisher

BMC
DOI: 10.1186/s13578-021-00594-5

Keywords

Urine-derived stem cells; Neurological diseases; Induced pluripotent stem cells; Induced neural stem cells

Funding

  1. Research Grants Council and University Grants Committee, Hong Kong [GRF_17123016, GRF_17114619]
  2. Liu Po Shan/Dr Vincent Liu Endowment Fund

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Using rodents for modeling neurological diseases has limitations due to differences in genetics, neural development, and physiology between humans and rodents. In the past decade, induced pluripotent stem cells and induced neural stem cells generated through reprogramming somatic cells have offered a powerful alternative for studying disease pathogenesis and testing regenerative medicines. Urine-derived stem cells are an ideal cell source for reprogramming due to their proliferation, multipotency, epithelial nature, and ease of reprogramming.
Neurological diseases are mainly modeled using rodents through gene editing, surgery or injury approaches. However, differences between humans and rodents in terms of genetics, neural development, and physiology pose limitations on studying disease pathogenesis in rodent models for neuroscience research. In the past decade, the generation of induced pluripotent stem cells (iPSCs) and induced neural stem cells (iNSCs) by reprogramming somatic cells offers a powerful alternative for modeling neurological diseases and for testing regenerative medicines. Among the different somatic cell types, urine-derived stem cells (USCs) are an ideal cell source for iPSC and iNSC reprogramming, as USCs are highly proliferative, multipotent, epithelial in nature, and easier to reprogram than skin fibroblasts. In addition, the use of USCs represents a simple, low-cost and non-invasive procedure for generating iPSCs/iNSCs. This review describes the cellular and molecular properties of USCs, their differentiation potency, different reprogramming methods for the generation of iPSCs/iNSCs, and their potential applications in modeling neurological diseases.

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