Zhu Danqing, Johnson Hunter J, Chen Jun, Schaffer David V
California Institute for Quantitative Biosciences, University of California, Berkeley, Berkeley, CA, United States.
Department of Bioengineering, University of California, Berkeley, Berkeley, CA, United States.
Front Cell Neurosci. 2022 Feb 22;16:811493. doi: 10.3389/fncel.2022.811493. eCollection 2022.
Cells reside in a dynamic microenvironment that presents them with regulatory signals that vary in time, space, and amplitude. The cell, in turn, interprets these signals and accordingly initiates downstream processes including cell proliferation, differentiation, migration, and self-organization. Conventional approaches to perturb and investigate signaling pathways (e.g., agonist/antagonist addition, overexpression, silencing, knockouts) are often binary perturbations that do not offer precise control over signaling levels, and/or provide limited spatial or temporal control. In contrast, optogenetics leverages light-sensitive proteins to control cellular signaling dynamics and target gene expression and, by virtue of precise hardware control over illumination, offers the capacity to interrogate how spatiotemporally varying signals modulate gene regulatory networks and cellular behaviors. Recent studies have employed various optogenetic systems in stem cell, embryonic, and somatic cell patterning studies, which have addressed fundamental questions of how cell-cell communication, subcellular protein localization, and signal integration affect cell fate. Other efforts have explored how alteration of signaling dynamics may contribute to neurological diseases and have in the process created physiologically relevant models that could inform new therapeutic strategies. In this review, we focus on emerging applications within the expanding field of optogenetics to study gene regulation, cell signaling, neurodevelopment, and neurological disorders, and we comment on current limitations and future directions for the growth of the field.
细胞所处的动态微环境会向它们呈现出在时间、空间和幅度上各不相同的调控信号。反过来,细胞会解读这些信号,并相应地启动包括细胞增殖、分化、迁移和自我组织在内的下游过程。传统的干扰和研究信号通路的方法(例如添加激动剂/拮抗剂、过表达、沉默、基因敲除)往往是二元干扰,无法对信号水平进行精确控制,和/或提供有限的空间或时间控制。相比之下,光遗传学利用光敏蛋白来控制细胞信号动态和靶基因表达,并且凭借对照明的精确硬件控制,具备探究时空变化的信号如何调节基因调控网络和细胞行为的能力。最近的研究在干细胞、胚胎和体细胞模式形成研究中采用了各种光遗传学系统,这些研究解决了细胞间通讯、亚细胞蛋白质定位和信号整合如何影响细胞命运的基本问题。其他研究则探索了信号动态变化如何导致神经疾病,并在此过程中创建了可能为新治疗策略提供信息的生理相关模型。在本综述中,我们重点关注光遗传学不断扩展领域内用于研究基因调控、细胞信号传导、神经发育和神经疾病的新兴应用,并对该领域当前的局限性和未来发展方向进行评论。