0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessMost biomolecules play important roles in aggregated states, as exemplified by proteins and DNA. Inspired by biomacromolecule formation, the exploration of intracellular bioactive materials derived from exogenous molecules has drawn considerable interest. In cells, exogenous molecules may assemble into macromolecules and supermolecules and thus help monitor disease processes or regulate the cell fate, which provides a new approach to disease treatment. The diverse cellular microenvironments (reductive in the cytoplasm, oxidative in mitochondria, and acidic in lysosomes) can be exploited to achieve controllable and precise intracellular aggregation using intelligent molecular design. Moreover, the intracellular polymerization and organelle targeting-triggered aggregation of exogenous molecules can be used for cell fate manipulation. This review deals with the intracellular aggregation of exogenous molecules activated by intracellular stimuli, exogenous stimuli, and organelle targeting and discusses the related molecular mechanisms and biomedical applications, providing guidance for the design of bioactive materials and discovery of theranostic agents.
Da‐Yong Hou, Haoran Wang, Yue-Ze Wang, Dong‐Bing Cheng, Ben Zhong Tang, Wanhai Xu (2025). Intracellular aggregation of exogenous molecules for biomedical applications. , 54(13), DOI: https://doi.org/10.1039/d5cs00141b.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Article
Year
2025
Authors
6
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.1039/d5cs00141b
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access