Human sensory neurons derived from pluripotent stem cells for disease modelling and personalized medicine
Autor: | Lucy A. McDermott, Angelika Lampert, Esther Eberhardt, Beate Winner, Martin Zenke, Anika Neureiter, David L.H. Bennett |
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Rok vydání: | 2020 |
Předmět: |
0301 basic medicine
Somatic cell Cellular differentiation Neuroscience (miscellaneous) Pain Sensory system lcsh:RC321-571 03 medical and health sciences 0302 clinical medicine Peripheral neuron Medicine Progenitor cell Induced pluripotent stem cell lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry Mini-Reviews iPSC business.industry 030104 developmental biology Anesthesiology and Pain Medicine nervous system Disease modelling Stem cell differentiation Neurology (clinical) Personalized medicine Stem cell business Reprogramming Neuroscience 030217 neurology & neurosurgery |
Zdroj: | Neurobiology of Pain Neurobiology of Pain, Vol 8, Iss, Pp 100055-(2020) |
ISSN: | 2452-073X |
Popis: | Highlights • New techniques emerge to study peripheral sensory neurons in iPS-cell derived models. • Genetic pain syndromes, e.g. gain- and loss-of-function mutations in Nav-channels are helpful. • Individualized treatment for neuropathic pain can be identified with iPS-cell derived nociceptors. In this concise Mini-Review we will summarize ongoing developments of new techniques to study physiology and pathophysiology of the peripheral sensory nervous system in human stem cell derived models. We will focus on recent developments of reprogramming somatic cells into induced pluripotent stem cells, neural differentiation towards neuronal progenitors and human sensory neurons. We will sum up the high potential of this new technique for disease modelling of human neuropathies with a focus on genetic pain syndromes, such as gain- and loss-of-function mutations in voltage-gated sodium channels. The stem cell derived human sensory neurons are used for drug testing and we will summarize their usefulness for individualized treatment identification in patients with neuropathic pain. The review will give an outlook on potential application of this technique as companion diagnostics and for personalized medicine. |
Databáze: | OpenAIRE |
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