Integrated functional neuronal network analysis of 3D silk-collagen scaffold-based mouse cortical culture

Dingle, Yu‐Ting L.; Bonzanni, Mattia; Liaudanskaya, Volha; Nieland, Thomas J.F.; Kaplan, David L.

doi:10.1016/j.xpro.2020.100292

Cited by 8 publications

(7 citation statements)

References 17 publications

(25 reference statements)

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“…A similar approach was recently shown for 2D neural networks (Tomagra et al, 2023). Blocking GABA A receptors and subsequently inhibiting GABAergic neuron activity with BIC is known to increase the excitability within the 3D hydrogel-based neural tissue (Ming et al, 2020;Dingle et al, 2021), a consequence of GABAergic-mediated disinhibition of excitatory neurons. In our 3D neural tissue, networks within the middle 1 and top cross sections suggests a functional trend that supports the presence of GABAergic neurons within these sections.…”

Section: Discussionmentioning

confidence: 99%

“…The sequential addition of postsynaptic receptor antagonists for GABA A receptors (BIC), NMDA receptors (AP-5), and AMPA and kainite receptors (CNQX) was applied to the 3D neural tissue to inhibit first GABAergic neurotransmission followed by glutamatergic neurotransmission (Figure 4A). Inhibition of GABAergic neurons, induced by GABA A receptors antagonist, BIC, was shown to increase the synchronization of neural activity in 3D hydrogel-based neural tissue (Ming et al, 2020;Dingle et al, 2021), resulting from the disinhibition of excitatory neurons; thereby increasing overall activity within the 3D culture. Following the application of BIC, a decrease in spiking activity was detected in only the top cross section (number of spikes, p < 0.01), suggesting a greater presence of BIC-sensitive GABAergic neurons within this cross section of the 3D neural tissue.…”

Section: Evaluating Synaptic Transmission From 3d Neural Network Acti...mentioning

confidence: 99%

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Spatiotemporal analysis of 3D human iPSC-derived neural networks using a 3D multi-electrode array

Lam,

Enright,

Cadena

et al. 2023

Front. Cell. Neurosci.

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While there is a growing appreciation of three-dimensional (3D) neural tissues (i.e., hydrogel-based, organoids, and spheroids), shown to improve cellular health and network activity to mirror brain-like activity in vivo, functional assessment using current electrophysiology techniques (e.g., planar multi-electrode arrays or patch clamp) has been technically challenging and limited to surface measurements at the bottom or top of the 3D tissue. As next-generation MEAs, specifically 3D MEAs, are being developed to increase the spatial precision across all three dimensions (X, Y, Z), development of improved computational analytical tools to discern region-specific changes within the Z dimension of the 3D tissue is needed. In the present study, we introduce a novel computational analytical pipeline to analyze 3D neural network activity recorded from a “bottom-up” 3D MEA integrated with a 3D hydrogel-based tissue containing human iPSC-derived neurons and primary astrocytes. Over a period of ~6.5 weeks, we describe the development and maturation of 3D neural activity (i.e., features of spiking and bursting activity) within cross sections of the 3D tissue, based on the vertical position of the electrode on the 3D MEA probe, in addition to network activity (identified using synchrony analysis) within and between cross sections. Then, using the sequential addition of postsynaptic receptor antagonists, bicuculline (BIC), 2-amino-5-phosphonovaleric acid (AP-5), and 6-cyano-5-nitroquinoxaline-2,3-dione (CNQX), we demonstrate that networks within and between cross sections of the 3D hydrogel-based tissue show a preference for GABA and/or glutamate synaptic transmission, suggesting differences in the network composition throughout the neural tissue. The ability to monitor the functional dynamics of the entire 3D reconstructed neural tissue is a critical bottleneck; here we demonstrate a computational pipeline that can be implemented in studies to better interpret network activity within an engineered 3D neural tissue and have a better understanding of the modeled organ tissue.

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Section: Discussionmentioning

confidence: 99%

Section: Evaluating Synaptic Transmission From 3d Neural Network Acti...mentioning

confidence: 99%

Spatiotemporal analysis of 3D human iPSC-derived neural networks using a 3D multi-electrode array

Lam,

Enright,

Cadena

et al. 2023

Front. Cell. Neurosci.

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“…Hexafluoropropanol was used as a solvent. The subsequent modification of the obtained matrices was performed in 98% ethanol in order to transfer SF from the regenerated (water-soluble) form to a water-insoluble one by forming β-links between protein molecules [ 17 ]. Electrospinning of SF matrices was carried out with the following parameters: a 22G needle; 15-cm distance to the collector; 20-kV voltage; collector rotation speed of 200 rpm; solution flow rate of 1 ml/h.…”

Section: Methodsmentioning

confidence: 99%

New Tissue-Engineered Vascular Matrix Based on Regenerated Silk Fibroin: in vitro Study

Prokudina,

Senokosova,

Antonova

et al. 2023

Sovrem Tehnol Med

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The aim of the study was to make a vascular patch based on regenerated silk fibroin (SF) and study its physical and mechanical characteristics, biocompatibility and matrix properties in comparison with polyhydroxybutyrate/valerate/polycaprolactone with incorporated vascular endothelial growth factor (PHBV/PCL/VEGF) and commercial bovine xenopericardium (XP) flap in experiments in vitro . Materials and Methods Tissue-engineered matrices were produced by electrospinning. The surface structure, physical and mechanical characteristics, hemocompatibility (erythrocyte hemolysis, aggregation, adhesion and activation of platelets after contact with the material) and matrix properties of vascular patches (adhesion, viability, metabolic activity of EA.hy926 cells on the material) were studied. Results The surface of SF-based matrices and PHBV/PCL/VEGF-based tissue engineered patches had a porous and fibrous structure compared to a denser and more uniform XP flap. The physical and mechanical characteristics of SF matrices were close to those of native vessels. Along with this, tissue-engineered patches demonstrated high hemocompatible properties, which do not differ from those for commercial XP flap. Adhesion, viability, and metabolic activity of EA.hy926 endothelial cells also corresponded to the previously developed PHBV/PCL/VEGF matrix and XP flap, which indicates the nontoxicity and biocompatibility of SF matrices. Conclusion Matrices produced from regenerated SF demonstrated satisfactory results, comparable to those for PHBV/PCL/VEGF and commercial XP flap, and in the case of platelet adhesion and activation, they outperformed these patches. In total, SF can be defined as material having sufficient biological compatibility, which makes it possible to consider a tissue-engineered matrix made from it as promising for implantation into the vascular wall.

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“… The configuration of silk as a biomaterial is based on the extraction of silk proteins (from ref. [ 91 ] licensed under Creative Commons Attribution license). …”

Section: Biomaterials Commonly Used In 3d Bioprintingmentioning

confidence: 99%

A Review on Bioinks and their Application in Plant Bioprinting

Ghosh¹,

Yi²

2022

IJB

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In recent years, the characterization and fabrication methods concerning new bioinks have received much attention, largely because the absence of bioprintable materials has been identified as one of the most rudimentary challenges for rapid advancement in the field of three-dimensional (3D) printing. Bioinks for printing mammalian organs have been rapidly produced, but bioinks in the field of plant science remain sparse. Thus, 3D fabrication of plant parts is still in its infancy due to the lack of appropriate bioink materials, and aside from that, the difficulty in recreating sophisticated microarchitectures that accurately and safely mimic natural biological activities is a concern. Therefore, this review article is designed to emphasize the significance of bioinks and their applications in plant bioprinting.

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Integrated functional neuronal network analysis of 3D silk-collagen scaffold-based mouse cortical culture

Cited by 8 publications

References 17 publications

Spatiotemporal analysis of 3D human iPSC-derived neural networks using a 3D multi-electrode array

Spatiotemporal analysis of 3D human iPSC-derived neural networks using a 3D multi-electrode array

New Tissue-Engineered Vascular Matrix Based on Regenerated Silk Fibroin: in vitro Study

A Review on Bioinks and their Application in Plant Bioprinting

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