Polycaprolactone fumarate acts as an artificial neural network to promote the biological behavior of neural stem cells

Abstract

Herein, we investigated the effect of electrospun polycaprolactone fumarate (PCLF) nanofibers on neural stem cell (NSC) behavior in the in vitro setting. Murine NSCs were isolated from adult mice subventricular zone and immunophenotyped by flow cytometry assay and immunofluorescence staining. Cells were cultured on the plastic surface, laminin-coated surface, and electrospun PCLF nanofibers. Cell morphology, attachment, and spreading were evaluated by scanning electron microscopy analysis. Cell viability and proliferation rates were evaluated by MTT assay. The proliferation of plated cells was investigated by monitoring Ki-67-positive cells using flow cytometry analysis. The protein levels of Map-2 and GFAP were detected by using immunofluorescence staining to show neural and astrocyte differentiation capacity. Scanning electron microscopy images revealed an extensive distribution, morphological adaptation, and cell-to-cell connectivity in NSCs upon culture on the PCLF surface. MTT analysis showed that the NSCs had more survival rates on the PCLF surface compared to the laminin and control groups over time (p < 0.05). In contrast to the laminin group, Ki-67 analysis showed a decrease of proliferating cells in the PCLF group. Immunofluorescence staining revealed the prominent increase of Map-2 and GFAP reduction in NSCs from the PCLF group compared to the laminin and control groups, showing the stimulatory effect of PCLF on targeted maturation of NSCs (p < 0.05). In brief, PCLF based construct promotes NSCs morphological adaptation and neuronal differentiation, suggesting PCLF as an appropriate and applicable substrate in neural tissue engineering.

Gelatin-Graphene Oxide Nanocomposite Hydrogels for Kluyveromyces lactis Encapsulation: Potential Applications in Probiotics and Bioreactor Packings

“…For instance, Zhang et al developed a polyvinyl alcohol (PVA)/poly(2-(N,N -dimethylamino) ethyl methacrylate) (PDMAEMA)-poly (acrylic acid) (PAAc) hydrogel that showed a pHresponsive swelling behavior and controlled equilibrium swelling ratio due to both the DMAEMA and AAc in the network [33]. Finally, hydrogels have been designed to incorporate the attributes needed to mimic the biological behavior of the target tissues in a living organism [34,35]. For instance, Puertas-Bartolomé et al reported preparing a hybrid system of hydrogels and catechol to serve as a bioactive wound dressing.…”

Biomimetic Electrospun PLLA/PPSB Nanofibrous Scaffold Combined with Human Neural Stem Cells for Spinal Cord Injury Repair

“…Interestingly, a relatively small number of positively stained GFAP-expressing astrocytes were observed compared to TUBB3-expressing neurons on all the nanofibrous scaffolds (Figure I), which demonstrated that nanofibrous scaffolds in this study favored neuronal differentiation of hNSCs. Previous studies have implied that scaffold surface patterning from micro–nanoscale spectrum mimicking ECM conditions could promote NSCs differentiation and bioactivity. − However, several studies have previously reported that electrospun PCL nanofiber could direct the differentiation of NSCs into astrocytes more than neurons, which indicated that the type of scaffold backbone could also influence the differentiation of NSCs toward specific cell lineage. , More cell studies might be needed in future to explore the underlying mechanisms involved in neuronal differentiation.…”

“…78−80 However, several studies have previously reported that electrospun PCL nanofiber could direct the differentiation of NSCs into astrocytes more than neurons, which indicated that the type of scaffold backbone could also influence the differentiation of NSCs toward specific cell lineage. 81,82 More cell studies might be needed in future to explore the underlying mechanisms involved in neuronal differentiation.…”

Prediction of anticancer drug sensitivity using an interpretable model guided by deep learning

“…This study develops DrugGene, a model that combines visible neural network (VNN) [ 17 , 19 , 20 ] embedded in the hierarchical structure of biological processes with traditional artificial neural network (ANN) [ 17 , 21 , 22 ], which simulates the reaction process of human cancer cells to drug therapy. VNN receives gene mutations, gene expression, and gene copy number variation data from cell lines, generating an output in the neural network's final layer.…”