A high-throughput screening method for engineering proteolytically stabilized growth factors

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Abstract/Contents

Abstract
Growth factors are an important class of proteins that play a pivotal role in orchestrating many complex biological processes such as wound healing, tissue regeneration, vascularization, and tumor formation. Thus, there is immense interest in utilizing growth factors as protein therapeutics. However, although numerous recombinant growth factors have been developed as therapeutic candidates, only a few have been effective enough to receive clinical approval. This is due, in large part, to their generally poor stability. Therapeutic growth factors must remain active for an extended period to be efficacious. However, growth factors can become degraded upon exposure to enzymes known as proteases. A growth factor's susceptibility to proteases can be particularly important because these enzymes are especially active in areas relevant for disease treatment. Growth factors have previously been modified to improve their proteolytic stability, and this has been shown to enhance their biological activity. However, current methods of engineering growth factors for increased proteolytic stability are limited by low-throughput and the lack of generalizable strategies that can be used in a consistently successful manner. Thus, it can be a difficult and slow process to generate new growth factor variants with improved stability. In this work, we describe the development of a high-throughput screening method for engineering proteolytically stabilized growth factors. We validate the ability of the screen to differentiate between proteins of different proteolytic stabilities. Then, we utilize the screen to engineer a proteolytically stabilized variant of fibroblast growth factor 1 (FGF1). Finally, we characterize the ability of the engineered FGF1 protein to resist degradation, and show that this variant surprisingly antagonizes the FGFR cell signaling pathway, which may have therapeutic implications for the treatment of ocular neovascularization and tumor formation.

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource.
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2018; ©2018
Publication date 2018; 2018
Issuance monographic
Language English

Creators/Contributors

Author Park, Sung Jin
Degree supervisor Cochran, Jennifer R
Thesis advisor Cochran, Jennifer R
Thesis advisor Kim, Peter, 1958-
Thesis advisor Lin, Michael Z
Degree committee member Kim, Peter, 1958-
Degree committee member Lin, Michael Z
Associated with Stanford University, Department of Bioengineering.

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Sung Jin Park.
Note Submitted to the Department of Bioengineering.
Thesis Thesis Ph.D. Stanford University 2018.
Location electronic resource

Access conditions

Copyright
© 2018 by Sung Jin Park
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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