2020
DOI: 10.1002/adhm.202000117
|View full text |Cite
|
Sign up to set email alerts
|

High‐Throughput Screening and Hierarchical Topography‐Mediated Neural Differentiation of Mesenchymal Stem Cells

Abstract: Biophysical factors such as anisotropic topography composed of micro/nanosized structures are important for directing the fate of human bone marrow‐derived mesenchymal stem cells (hBM‐MSCs) and have been applied to neuronal differentiation. Via high‐throughput screening (HTS) methods based on topography gradients, the optimum topography is determined and translated toward a hierarchical architecture designed to mimic the nerve nano/microstructure. The polydimethylsiloxane (PDMS)‐based topography gradient with … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

1
37
0

Year Published

2021
2021
2023
2023

Publication Types

Select...
8

Relationship

1
7

Authors

Journals

citations
Cited by 41 publications
(38 citation statements)
references
References 57 publications
1
37
0
Order By: Relevance
“…At the current stage, although the role of magnetic properties and anisotropicity in the induction of ADSC osteogenic differentiation should be fully elucidated before considering animal-based validation experiments, it is still suitable in vitro platform for mechanistic studies and therapeutic candidate testing. In addition, we believe that combination with cell-derived ECM will improve the cell-composite interaction and further promote the osteogenesis of stem cells [32][33][34] .…”
Section: Resultsmentioning
confidence: 99%
“…At the current stage, although the role of magnetic properties and anisotropicity in the induction of ADSC osteogenic differentiation should be fully elucidated before considering animal-based validation experiments, it is still suitable in vitro platform for mechanistic studies and therapeutic candidate testing. In addition, we believe that combination with cell-derived ECM will improve the cell-composite interaction and further promote the osteogenesis of stem cells [32][33][34] .…”
Section: Resultsmentioning
confidence: 99%
“… 12 Wave-like topography gradients with a height between 541 and 3073 nm and wavelengths increasing from 4 to 30 μm were used to study the fate commitment of MSCs toward neuron lineage. 173 They found that the substrate with wavelength 26 μm/height 2.9 μm was optimum for neuron differentiation ( Figure 14 A). These results demonstrate that an anisotropic gradient platform can serve as an effective system to obtain the optimum parameter for specific cellular behaviors, which could improve regenerative medicine of stem cell therapies.…”
Section: Gradient-based Hts Approaches For Biomaterials Discovery and Materiobiologymentioning
confidence: 99%
“…With this method, the van Rijn group prepared PDMS-based wrinkled topography gradients with varied wavelengths (W) and amplitudes (A). 34 , 100 , 170 173 Table 2 presents an overview of varied fabrication techniques for the creation of topography gradients.…”
Section: Gradient-based Hts Approaches For Biomaterials Discovery and Materiobiologymentioning
confidence: 99%
See 1 more Smart Citation
“…Nowadays, hydrophilic and hydrophobic materials can be applied in a significant manner, in many sectors, such as biomedical, antifogging techniques for hydrophilic ones; whereas hydrophobic materials can be used to remove petroleum or oil from aqueous solutions, even applied to ceramics and plastics (Drelich et al, 2011;Su et al, 2016;Wang et al, 2017). The goal is the realization of innovative and simplified biomaterials, capable to provide a better understanding of neuronal mechanisms and able to simulate the outer microenvironment of neuronal cells, and at the same time, suitable even for in vivo applications (Yang et al, 2020). For these reasons, it is essential to manipulate the mechanical biomaterial properties together with the biological signals to improve proliferation, migration and differentiation.…”
Section: Biomaterials Applications For Neural Tissue Engineeringmentioning
confidence: 99%