Applications and challenges of rhodopsin-based optogenetics in biomedicine.

Zhang H, Fang H, Liu D
Front Neurosci 2022
Open on PubMed

1. Front Neurosci. 2022 Sep 23;16:966772. doi: 10.3389/fnins.2022.966772. eCollection 2022. Applications and challenges of rhodopsin-based optogenetics in biomedicine. Zhang H(1), Fang H(1), Liu D(1), Zhang Y(1), Adu-Amankwaah J(2), Yuan J(1)(3)(4), Tan R(2), Zhu J(1). Author information: (1)College of Life Sciences, Shandong Normal University, Jinan, China. (2)Department of Physiology, Basic Medical School, Xuzhou Medical University, Xuzhou, China. (3)Collaborative Innovation Center for Birth Defect Research and Transformation of Shandong Province, Jining Medical University, Jining, China. (4)Lin He's Academician Workstation of New Medicine and Clinical Translation, Jining Medical University, Jining, China. Optogenetics is an emerging bioengineering technology that has been rapidly developed in recent years by cross-integrating optics, genetic engineering, electrophysiology, software control, and other disciplines. Since the first demonstration of the millisecond neuromodulation ability of the channelrhodopsin-2 (ChR2), the application of optogenetic technology in basic life science research has been rapidly progressed, especially in neurobiology, which has driven the development of the discipline. As the optogenetic tool protein, microbial rhodopsins have been continuously explored, modified, and optimized, with many variants becoming available, with structural characteristics and functions that are highly diversified. Their applicability has been broadened, encouraging more researchers and clinicians to utilize optogenetics technology in research. In this review, we summarize the species and variant types of the most important class of tool proteins in optogenetic techniques, the microbial rhodopsins, and review the current applications of optogenetics based on rhodopsin qualitative light in biology and other fields. We also review the challenges facing this technology, to ultimately provide an in-depth technical reference to support the