Since the neurobiological inception of optogenetics, light-controlled molecular perturbations have been applied in many scientific disciplines to both manipulate and observe cellular function. Proteins exhibiting light-sensitive conformational changes provide researchers with avenues for spatiotemporal control over the cellular environment and serve as valuable alternatives to chemically inducible systems. Optogenetic approaches have been developed to target proteins to specific subcellular compartments, allowing for the manipulation of nuclear translocation and plasma membrane morphology. Additionally, these tools have been harnessed for molecular interrogation of organelle function, location, and dynamics. Optogenetic approaches offer novel ways to answer fundamental biological questions and to improve the efficiency of bioengineered cell factories by controlling the assembly of synthetic organelles. This review first provides a summary of available optogenetic systems with an emphasis on their organelle-specific utility. It then explores the strategies employed for organelle targeting and concludes by discussing our perspective on the future of optogenetics to control subcellular structure and organization.
The global crisis provoked by the SARS-CoV-2 pandemic, and the economic and social consequences associated to the essential policies applied to contain it, necessitates the expedited development of therapeutic solutions. It is a priority to produce data both rapidly and accurately in order to identify current therapies that can be repurposed to offer protection from SARS-CoV-2 infection. As healthcare workers are both at high risk for infection and able to be readily diagnosed, they offer a potential wealth of data to be analyzed. A systematic data analysis of exposure and infection rates among healthcare workers could yield patterns identifying common protective factors, such as medications with prophylactic potential against SARS-CoV-2, that can be fast-tracked into available therapies. With results suggesting their activity against other coronaviruses and their widespread adoption, Antiretroviral cocktails could be a promising initial target for such large-scale data analysis approach.
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