Conclusion
In summary, we highlighted the importance of applying bioinformatics analysis and systems biology tools to the fields of stem cells and biomaterials. The application of biomaterials is rapidly expanding as a mechanism to impact cellular differentiation, yet there remains a significant gap in our understanding of the molecular changes that biomaterials induce. Further in silico analyses are required to more aptly define the role of biomaterials in stem cell growth. Our results begin to make this characterization, as we demonstrated the change in differentiation of cells grown on different biomaterials at the transcriptomic level. Finally, we highlighted the importance of application of bioinformatics approach in understanding stem cells and biomaterials interactions in order to propose a strategy to achieve higher differentiation efficiency and quality.
Conflict of interest: The authors declare that they have no conflicts of interest with the contents of this article.
Acknowledgments: This research did not receive any external funding and was conducted using the authors’ personal money.
Author Contributions: Data collection, multi-omics data analysis, gene expression experiments: ES, NK, SJE, MY, and AM. Designed the experiments: ES, NK, MY, and AM. Wrote the paper: ES, NK, NWK, MY, and AM.