| Issue |
BIO Web Conf.
Volume 174, 2025
2025 7th International Conference on Biotechnology and Biomedicine (ICBB 2025)
|
|
|---|---|---|
| Article Number | 01023 | |
| Number of page(s) | 4 | |
| Section | Advances in Molecular Biology and Genetic Research | |
| DOI | https://doi.org/10.1051/bioconf/202517401023 | |
| Published online | 12 May 2025 | |
Regulation of Induced Pluripotent Stem Cells(iPS) Differentiation and Disease Model Establishment
University of Glasgow, Glasgow, UK
* Email: 3800679351@qq.com
Induced pluripotent stem cells (iPS) are multipotent cell types generated by reprogramming adult somatic cells, with broad prospects in disease model establishment, drug screening, and regenerative medicine. This paper delves into the mechanism of iPS cell differentiation, differentiation regulation strategies, and their applications in disease model establishment. Initially, we explore the basic features of iPS cells and their differentiation potential, analyzing the key molecular and signaling pathways influencing the iPS differentiation process. Subsequently, we examine several common differentiation induction methods, supported by specific experimental data, and discuss optimization strategies to enhance differentiation efficiency and obtain specific cell types. Finally, we focus on the application of iPS cells in establishing disease models, particularly in neurodegenerative diseases, cardiovascular diseases, and genetic diseases, incorporating the latest research progress and innovative content. Through in - depth analysis, this paper aims to offer a theoretical basis and technical support for the future clinical application of iPS cells.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.