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.