Carbon nanotube micropillars trigger guided growth of complex human neural stem cells networks

Gabriela S. Lorite, Laura Ylä-Outinen, Lauriane Janssen, Olli Pitkänen, Tiina Joki, Janne T. Koivisto, Minna Kellomäki, Robert Vajtai, Susanna Narkilahti, Krisztian Kordas

    Research output: Contribution to journalArticleScientificpeer-review

    25 Citations (Scopus)
    17 Downloads (Pure)

    Abstract

    New strategies for spatially controlled growth of human neurons may provide viable solutions to treat and recover peripheral or spinal cord injuries. While topography cues are known to promote attachment and direct proliferation of many cell types, guided outgrowth of human neurites has been found difficult to achieve so far. Here, three-dimensional (3D) micropatterned carbon nanotube (CNT) templates are used to effectively direct human neurite stem cell growth. By exploiting the mechanical flexibility, electrically conductivity and texture of the 3D CNT micropillars, a perfect environment is created to achieve specific guidance of human neurites, which may lead to enhanced therapeutic effects within the injured spinal cord or peripheral nerves. It is found that the 3D CNT micropillars grant excellent anchoring for adjacent neurites to form seamless neuronal networks that can be grown to any arbitrary shape and size. Apart from clear practical relevance in regenerative medicine, these results using the CNT based templates on Si chips also can pave the road for new types of microelectrode arrays to study cell network electrophysiology. [Figure not available: see fulltext.].

    Original languageEnglish
    Pages (from-to)2894-2899
    Number of pages6
    JournalNano Research
    Volume12
    Issue number11
    DOIs
    Publication statusPublished - 2019
    Publication typeA1 Journal article-refereed

    Keywords

    • carbon nanotubes
    • guided neurite outgrowth
    • human neural stem cells
    • multiple cues
    • neuronal networks

    Publication forum classification

    • Publication forum level 2

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