Instructed-Assembly (iA): A Molecular Process for Controlling Cell Fate
Author(s) -
Hongjian He,
Bing Xu
Publication year - 2018
Publication title -
bulletin of the chemical society of japan
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.145
H-Index - 99
eISSN - 1348-0634
pISSN - 0009-2673
DOI - 10.1246/bcsj.20180038
Subject(s) - context (archaeology) , chemistry , nanotechnology , process (computing) , cognitive science , computer science , psychology , paleontology , materials science , biology , operating system
Instructed-assembly (iAssembly or iA) refers to the formation of ordered superstructures of molecules as the consequence of at least one trigger event (e.g., a reaction or a ligand-receptor interaction). As a biomimetic process that transforms from an equilibrium to another equilibrium, iA has emerging as a powerful approach to provide spatiotemporal control for a range of potential biomedical applications, including molecular imaging, cancer therapy, and tissue engineering. This account introduces the general concept of iA in the context of cells and illustrates how to achieve iA for applications. By mainly describing the representative examples of iA and its applications in complex environment, such as cells or animals, and providing the perspectives of the future development of iA, we intend to show that, as a process that bridges self-assembly and self-organization, iA offers chemists a facile mean to explore the emergent properties of molecular assemblies and the dynamics of molecular processes to control cell fate. Particularly, iA promises many wonderful surprises and useful applications in physical and/or life sciences when multiple processes (e.g., self-assembly, instructed-assembly, and self-organization) are taking place simultaneously.
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