Nanofibrous Carbon Multifunctional Smart Scaffolds for Simultaneous Cell Differentiation and Dopamine Detection
| Autor: | Alexander T. Hwu, Andrew R Yale, Maziar Ghazinejad, Alexandra Perebikovsky, Marc J. Madou |
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| Rok vydání: | 2021 |
| Předmět: |
Scaffold
Tissue Scaffolds Chemistry Cell growth Nanotubes Carbon Cellular differentiation Dopamine 0206 medical engineering Biomedical Engineering Nanofibers Nanotechnology Cell Differentiation 02 engineering and technology Cell fate determination 021001 nanoscience & nanotechnology 020601 biomedical engineering Neural stem cell Biomaterials Mice Dopaminergic Cell Animals Stem cell Progenitor cell 0210 nano-technology |
| Zdroj: | ACS biomaterials scienceengineering. 6(1) |
| ISSN: | 2373-9878 |
| Popis: | Advances in stem-cell therapy rely on new, multifunctional smart scaffolds (MSS) to promote growth while simultaneously characterizing stem cells undergoing selective differentiation. Nondestructive cell characterization techniques, such as electrochemical detection of lineage-specific metabolites, play a critical role in translational stem-cell therapy by providing clinicians with real-time information to evaluate cell-readiness for transplant. However, electrochemical sensors that provide biophysical cues capable of guiding cell fate, while preserving electroactive functionality, remain unavailable. In this work, a carbon MSS is fabricated by pyrolyzing polyacrylonitrile (PAN) with optimal multiwalled carbon nanotube (MWCNT) loading to optimize electrochemical activity and with a tunable surface to promote cell growth and organization. Carbon MSS is used to (1) enhance the morphology and differentiation of mouse neural stem/progenitor cells (mNSPCs) derived from different regions of the developing brain and (2) simultaneously detect a neurotransmitter, dopamine, from a model dopaminergic cell line growing on the electrode. The study presents a carbon multifunctional smart scaffold for advancing stem-cell therapy toward clinically relevant applications. |
| Databáze: | OpenAIRE |
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