Behavior of Neural Cells Post Manufacturing and After Prolonged Encapsulation within Conductive Graphene-Laden Alginate Microfibers.
Marilyn C McNamaraSaurabh S AykarNima AlimoradiAmir Ehsan Niaraki AsliRajeendra L PemathilakaAlex H WredeReza MontazamiNicole N HashemiPublished in: Advanced biology (2021)
Engineering conductive 3D cell scaffoldings offer advantages toward the creation of physiologically relevant platforms with integrated real-time sensing capabilities. Dopaminergic neural cells are encapsulated into graphene-laden alginate microfibers using a microfluidic approach, which is unmatched for creating highly-tunable microfibers. Incorporating graphene increases the conductivity of the alginate microfibers by 148%, creating a similar conductivity to native brain tissue. The cell encapsulation procedure has an efficiency of 50%, and of those cells, ≈30% remain for the entire 6-day observation period. To understand how the microfluidic encapsulation affects cell genetics, tyrosine hydroxylase, tubulin beta 3 class 3, interleukin 1 beta, and tumor necrosis factor alfa are analyzed primarily with real-time reverse transcription-quantitative polymerase chain reaction and secondarily with enzyme-linked immunosorbent assay, immediately after manufacturing, after encapsulation in polymer matrix for 6 days, and after encapsulation in the graphene-polymer composite for 6 days. Preliminary data shows that the manufacturing process and combination with alginate matrix affect the expression of the studied genes immediately after manufacturing. In addition, the introduction of graphene further changes gene expressions. Long-term encapsulation of neural cells in alginate and 6-day exposure to graphene also leads to changes in gene expressions.
Keyphrases
- induced apoptosis
- single cell
- cell cycle arrest
- cell therapy
- rheumatoid arthritis
- room temperature
- wound healing
- endoplasmic reticulum stress
- carbon nanotubes
- walled carbon nanotubes
- signaling pathway
- genome wide
- stem cells
- poor prognosis
- multiple sclerosis
- bone marrow
- mesenchymal stem cells
- artificial intelligence
- big data
- genome wide identification
- resting state
- white matter
- subarachnoid hemorrhage
- cerebral ischemia