Substrate stiffness affects neural network activity in an extracellular matrix proteins dependent manner.
Colloids Surf B Biointerfaces
; 170: 729-735, 2018 Oct 01.
Article
in En
| MEDLINE
| ID: mdl-30005410
ABSTRACT
Neuronal growth, differentiation, extension, branching and neural network activity are strongly influenced by the mechanical property of extracellular matrix (ECM). However, the mechanism by which substrate stiffness regulates a neural network activity, and the importance of ECM composition in conferring substrate stiffness sensing have not been explored. To address this question, the hippocampal neurons were seeded on the polydimethylsiloxane (PDMS) substrate with different stiffness, which were coated with fibronectin and laminin respectively. Our results show that voltage-gated Ca2+ channel currents are greater in neurons on the stiff substrate than on the soft substrate. In addition, the neurons exhibit a greater increase of Ca2+ currents on laminin-coated stiff substrate than on those coated with fibronectin, indicating that the composition of ECM can modulate responses to substrate stiffness of neurons. Paired patch-clamp recordings have shown that upregulation of neural effective synaptic connectivity is greater on the laminin-coated stiff substrate than on the fibronectin-coated ones. Consistently, laminin-coated stiff substrate enhances Ca2+ oscillations of neurons is greater that compared with the fibronectin-coated ones. Our study demonstrates that a direct role for substrate stiffness in regulating neuronal network activity and indicate that this modulation is dependent on a specific type of ECM protein, which should be taken into account for the design of biomaterials for neuronal tissue engineering.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Extracellular Matrix Proteins
/
Neural Networks, Computer
/
Dimethylpolysiloxanes
Type of study:
Prognostic_studies
Limits:
Animals
Language:
En
Journal:
Colloids Surf B Biointerfaces
Journal subject:
QUIMICA
Year:
2018
Document type:
Article
Affiliation country:
China