Pyrolysed 3D-Carbon Scaffolds Induce Spontaneous Differentiation of Human Neural Stem Cells and Facilitate Real-Time Dopamine Detection

Letizia Amato, Arto Heiskanen, Claudia Caviglia, Fozia Shah, Kinga Zor, Maciej Skolimowski, Marc Madou, Letizia Gammelgaard, Rasmus Hansen, Emma G. Seiz, Milagros Ramos, Tania Ramos Moreno, Alberto Martínez-Serrano, Stephan Sylvest Keller, Jenny Emnéus

    Research output: Contribution to journalJournal articleResearchpeer-review

    Abstract

    Structurally patterned pyrolysed three-dimensional carbon scaffolds (p3Dcarbon)
    are fabricated and applied for differentiation of human neural
    stem cells (hNSCs) developed for cell replacement therapy and sensing
    of released dopamine. In the absence of differentiation factors (DF) the
    pyrolysed carbon material induces spontaneous hNSC differentiation into
    mature dopamine-producing neurons and the 3D-topography promotes
    neurite elongation. In the presence and absence of DF, ≈73–82% of the
    hNSCs obtain dopaminergic properties on pyrolysed carbon, a to-date
    unseen efficiency in both two-dimensional (2D) and 3D environment. Due
    to conductive properties and 3D environment, the p3D-carbon serves as a
    neurotransmitter trap, enabling electrochemical detection of a signifi cantly
    larger dopamine fraction released by the hNSC derived neurons than on
    conventional 2D electrodes. This is the first study of its kind, presenting new
    conductive 3D scaffolds that provide highly efficient hNSC differentiation to
    dopaminergic phenotype combined with real-time in situ confirmation of the
    fate of the hNSC-derived neurons.
    Original languageEnglish
    JournalAdvanced Functional Materials
    Number of pages11
    ISSN1616-301X
    DOIs
    Publication statusPublished - 2014

    Fingerprint

    Dive into the research topics of 'Pyrolysed 3D-Carbon Scaffolds Induce Spontaneous Differentiation of Human Neural Stem Cells and Facilitate Real-Time Dopamine Detection'. Together they form a unique fingerprint.

    Cite this