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Title
Large Scale Biomanufacturing of Human Induced Pluripotent Stem Cell-Derived Neurons
Description
Current culturing methods allow for human neural progenitor cells to be differentiated into neurons for use in diagnostic tools and disease modeling. An issue arises in the relatively low number of cells that can be successfully expanded and differentiated using these current methods, making the progress of research dependent on these cultures as a large number of cells are needed to conduct relevant assays. This project focuses on the expansion and differentiation of human neural progenitor cells cultured on microcarriers and within a rotating bioreactor system as a way to increase the total number of cells generated. Additionally, cryopreservation and the characteristics of these neurons post thaw is being investigated to create a way for long term storage, as well as, a method for standardizing cell lines between multiple experiments at different time points. The experiments covered in this study are aimed to compare the characteristics of differentiated human neurons, both demented and non-demented cell lines between pre-cryopreservation, freshly differentiated neurons and post-cryopreservation neurons. The assays conducted include immunofluorescence, calcium imaging, quantitative polymerase chain reaction, flow cytometry and ELISA data looking at Alzheimer’s disease traits. With the data collected within this study, the use of bioreactors, in addition to, cryopreservation of human neurons for long term storage can be better implemented into human neural progenitor cell research. Both of these aspects will increase the output of these cultures and potentially remove the bottleneck currently found within human neural disease modeling.
Date Created
2020-05
Contributors
- Henson, Tanner Jay (Author)
- Brafman, David (Thesis director)
- Kodibagkar, Vikram (Committee member)
- School of Life Sciences (Contributor)
- Harrington Bioengineering Program (Contributor, Contributor)
- Barrett, The Honors College (Contributor)
Topical Subject
Resource Type
Extent
50 pages
Language
eng
Copyright Statement
In Copyright
Primary Member of
Series
Academic Year 2019-2020
Handle
https://hdl.handle.net/2286/R.I.56279
Level of coding
minimal
Cataloging Standards
System Created
- 2020-04-15 12:00:45
System Modified
- 2021-08-11 04:09:57
- 3 years 2 months ago
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