Supporting data for 3D Printed Stem-Cell Derived Neural Progenitors Generate Spinal Cord Scaffolds
2020-05-15
Loading...
Persistent link to this item
Statistics
View StatisticsCollection period
2016-09-05
2018-10-05
2018-10-05
Date completed
2018-10-05
Date updated
Time period coverage
Geographic coverage
Source information
Journal Title
Journal ISSN
Volume Title
Title
Supporting data for 3D Printed Stem-Cell Derived Neural Progenitors Generate Spinal Cord Scaffolds
Published Date
2020-05-15
Author Contact
McAlpine, Michael C
mcalpine@umn.edu
mcalpine@umn.edu
Type
Dataset
Experimental Data
Programming Software Code
Other Dataset
Experimental Data
Programming Software Code
Other Dataset
Abstract
A bioengineered spinal cord is fabricated via extrusion-based multilateral 3D bioprinting, in which clusters of induced pluripotent stem cell (iPSC)-derived spinal neuronal progenitor cells (sNPCs) and oligodendrocyte progenitor cells (OPCs) are placed in precise positions within 3D printed biocompatible scaffolds during assembly. The location of a cluster of cells, of a single type or multiple types, is controlled using a point-dispensing printing method with a 200 μm center-to-center spacing within 150 μm wide channels. The bioprinted sNPCs differentiate and extend axons throughout microscale scaffold channels, and the activity of these neuronal networks is confirmed by physiological spontaneous calcium flux studies. Successful bioprinting of OPCs in combination with sNPCs demonstrates a multicellular neural tissue engineering approach, where the ability to direct the patterning and combination of transplanted neuronal and glial cells can be beneficial in rebuilding functional axonal connections across areas of central nervous system (CNS) tissue damage. This platform can be used to prepare novel biomimetic, hydrogel-based scaffolds modeling complex CNS tissue architecture in vitro and harnessed to develop new clinical approaches to treat neurological diseases, including spinal cord injury.
Description
The ability to model CNS tissues in vitro for in vivo transplantation has the potential to be of critical importance in a variety of medical conditions such as spinal cord injury, traumatic brain injury, stroke, and degenerative neurologic disease. Our approach to generating functional CNS tissue constructs relies on a “multiprong” combination of sophisticated 3D bioprinting and cell culture expertise. Here, as an example for utilizing novel 3D neurobioprinting, we have devised a method to model the cytoarchitecture of spinal cord tissue.
Referenced by
Joung, D., Truong, V., Neitzke, C., Guo, S., Walsh, P., Monat, J., . . . McAlpine, M. (2018). 3D Printed Stem‐Cell Derived Neural Progenitors Generate Spinal Cord Scaffolds. Advanced Functional Materials, 28(39).
https://doi.org/10.1002/adfm.201801850
https://doi.org/10.1002/adfm.201801850
Related to
Replaces
item.page.isreplacedby
License
Publisher
Funding information
Conquer Paralysis Now
Minnesota Spinal Cord Injury and Traumatic Brain Injury Research Grant Program
National Institute of Biomedical Imaging and Bioengineering of the National Institutes of Health (Award No. 1DP2EB020537)
CTSI KL2 Scholar Program of the National Institutes of Health (Award No. NIHCON000000033119-3002)
Minnesota Spinal Cord Injury and Traumatic Brain Injury Research Grant Program
National Institute of Biomedical Imaging and Bioengineering of the National Institutes of Health (Award No. 1DP2EB020537)
CTSI KL2 Scholar Program of the National Institutes of Health (Award No. NIHCON000000033119-3002)
item.page.sponsorshipfunderid
item.page.sponsorshipfundingagency
item.page.sponsorshipgrant
Previously Published Citation
Other identifiers
Suggested citation
Joung, Daeha; Truong, Vincent; Neitzke, Colin C; Guo, Shuang-Zhuang; Walsh, Patrick J; Monat, Joseph R; Meng, Fanben; Park, Sung Hyun; Dutton, James R; Parr, Ann M; McAlpine, Michael C. (2020). Supporting data for 3D Printed Stem-Cell Derived Neural Progenitors Generate Spinal Cord Scaffolds. Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/femp-z102.
View/Download File
File View/Open
Description
Size
Readme.txt
ReadMe
(12.63 KB)
Figure 1 data.rar
Raw data for Figure 1
(35.14 MB)
Figure 2 data.rar
Raw data for Figure 2
(14.74 MB)
Figure 3 data.rar
Raw data for Figure 3
(149 MB)
Figure 4 data.rar
Raw data for Figure 4
(30.39 MB)
Figure 5 data.rar
Raw data for Figure 5
(1.74 MB)
Figure S1 data.rar
Raw data for Figure S1
(22.21 MB)
Figure S2 data.rar
Raw data for Figure S2
(108.3 MB)
Figure S3 data.rar
Raw data for Figure S3
(20.77 MB)
Figure S4 data.rar
Raw data for Figure S4
(5.1 MB)
Figure S5 data.rar
Raw data for Figure S5
(23.35 MB)
Figure S6 data.rar
Raw data for Figure S6
(71.27 MB)
Figure S7 data.rar
Raw data for Figure S7
(129.72 MB)
Figure S8 data.rar
Raw data for Figure S8
(12.94 MB)
Figure S9 data.rar
Raw data for Figure S9
(22.36 KB)
Figure S10 data.rar
Raw data for Figure S10
(5.61 MB)
Figure S11 data.rar
Raw data for Figure S11
(3.49 MB)
Figure S12 data.rar
Raw data for Figure S12
(7.81 MB)
Fisnar_printing_code.rar
Code files (excel) for adaptive printing controller (For Fisnar 3D printer)
(77.3 KB)
Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.