High-Throughput Discovery of Targeted, Minimally Complex Peptide Surfaces for Human Pluripotent Stem Cell Culture.
Anusuya RamasubramanianRiya MuckomCaroline SugnauxChristina FuentesBarbara L EkerdtDouglas S ClarkKevin E HealyDavid V SchafferPublished in: ACS biomaterials science & engineering (2021)
Human pluripotent stem cells harbor an unlimited capacity to generate therapeutically relevant cells for applications in regenerative medicine. However, to utilize these cells in the clinic, scalable culture systems that activate defined receptors and signaling pathways to sustain stem cell self-renewal are required; and synthetic materials offer considerable promise to meet these needs. De novo development of materials that target novel pathways has been stymied by a limited understanding of critical receptor interactions maintaining pluripotency. Here, we identify peptide agonists for the human pluripotent stem cell (hPSC) laminin receptor and pluripotency regulator, α6-integrin, through unbiased, library-based panning strategies. Biophysical characterization of adhesion suggests that identified peptides bind hPSCs through α6-integrin with sub-μM dissociation constants similar to laminin. By harnessing a high-throughput microculture platform, we developed predictive guidelines for presenting these integrin-targeting peptides alongside canonical binding motifs at optimal stoichiometries to generate nascent culture surfaces. Finally, when presented as self-assembled monolayers, predicted peptide combinations supported hPSC expansion, highlighting how unbiased screens can accelerate the discovery of targeted biomaterials.
Keyphrases
- high throughput
- pluripotent stem cells
- stem cells
- endothelial cells
- induced apoptosis
- induced pluripotent stem cells
- single cell
- cancer therapy
- small molecule
- biofilm formation
- primary care
- escherichia coli
- genome wide
- big data
- binding protein
- oxidative stress
- mesenchymal stem cells
- machine learning
- case report
- dna methylation
- amino acid
- artificial intelligence
- tissue engineering