A simple and scalable 3D printing methodology for generating aligned and extended human and murine skeletal muscle tissues
Research output: Contribution to journal › Journal article › Research › peer-review
Standard
A simple and scalable 3D printing methodology for generating aligned and extended human and murine skeletal muscle tissues. / Cakal, Selgin D; Radeke, Carmen; Alcala, Juan F; Ellman, Ditte G; Butdayev, Sarkhan; Andersen, Ditte C; Calloe, Kirstine; Lind, Johan U.
In: Biomedical Materials (Bristol), Vol. 17, No. 4, 2022.Research output: Contribution to journal › Journal article › Research › peer-review
Harvard
APA
Vancouver
Author
Bibtex
}
RIS
TY - JOUR
T1 - A simple and scalable 3D printing methodology for generating aligned and extended human and murine skeletal muscle tissues
AU - Cakal, Selgin D
AU - Radeke, Carmen
AU - Alcala, Juan F
AU - Ellman, Ditte G
AU - Butdayev, Sarkhan
AU - Andersen, Ditte C
AU - Calloe, Kirstine
AU - Lind, Johan U
N1 - Creative Commons Attribution license.
PY - 2022
Y1 - 2022
N2 - Preclinical biomedical and pharmaceutical research on disease causes, drug targets, and side effects increasingly relies on in vitromodels of human tissue. 3D printing offers unique opportunities for generating models of superior physiological accuracy, as well as for automating their fabrication. Towards these goals, we here describe a simple and scalable methodology for generating physiologically relevant models of skeletal muscle. Our approach relies on dual-material micro-extrusion of two types of gelatin hydrogel into patterned soft substrates with locally alternating stiffness. We identify minimally complex patterns capable of guiding the large-scale self-assembly of aligned, extended, and contractile human and murine skeletal myotubes. Interestingly, we find high-resolution patterning is not required, as even patterns with feature sizes of several hundred micrometers is sufficient. Consequently, the procedure is rapid and compatible with any low-cost extrusion-based 3D printer. The generated myotubes easily span several millimeters, and various myotube patterns can be generated in a predictable and reproducible manner. The compliant nature and adjustable thickness of the hydrogel substrates, serves to enable extended culture of contractile myotubes. The method is further readily compatible with standard cell-culturing platforms as well as commercially available electrodes for electrically induced exercise and monitoring of the myotubes.
AB - Preclinical biomedical and pharmaceutical research on disease causes, drug targets, and side effects increasingly relies on in vitromodels of human tissue. 3D printing offers unique opportunities for generating models of superior physiological accuracy, as well as for automating their fabrication. Towards these goals, we here describe a simple and scalable methodology for generating physiologically relevant models of skeletal muscle. Our approach relies on dual-material micro-extrusion of two types of gelatin hydrogel into patterned soft substrates with locally alternating stiffness. We identify minimally complex patterns capable of guiding the large-scale self-assembly of aligned, extended, and contractile human and murine skeletal myotubes. Interestingly, we find high-resolution patterning is not required, as even patterns with feature sizes of several hundred micrometers is sufficient. Consequently, the procedure is rapid and compatible with any low-cost extrusion-based 3D printer. The generated myotubes easily span several millimeters, and various myotube patterns can be generated in a predictable and reproducible manner. The compliant nature and adjustable thickness of the hydrogel substrates, serves to enable extended culture of contractile myotubes. The method is further readily compatible with standard cell-culturing platforms as well as commercially available electrodes for electrically induced exercise and monitoring of the myotubes.
KW - Animals
KW - Humans
KW - Hydrogels
KW - Mice
KW - Muscle Fibers, Skeletal
KW - Muscle, Skeletal
KW - Printing, Three-Dimensional
KW - Tissue Engineering/methods
U2 - 10.1088/1748-605X/ac6b71
DO - 10.1088/1748-605X/ac6b71
M3 - Journal article
C2 - 35483352
VL - 17
JO - Biomedical Materials (Bristol)
JF - Biomedical Materials (Bristol)
SN - 1748-6041
IS - 4
ER -
ID: 307377870