Showing 1 - 4 of 4 results
1.
Optogenetics Methods and Protocols
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Haller, DJ
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Castillo-Hair, SM
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Tabor, JJ
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Harmer, ZP
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McClean, MN
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Renzl, C
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Mayer, G
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Nakajima, T
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Kuwasaki, Y
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Yamamoto, S
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Otabe, T
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Sato, M
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Shkarina, K
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Broz, P
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Jia Ying Toh, P
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Kroll, KL
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Sosnick, TR
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Rock, RS
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Tadimarri, VS
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Sankaran, S
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Lindner, F
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Grossmann, S
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Diepold, A
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Knapp, F
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Hogenkamp, F
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Paik, S
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Jaeger, K
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Pietruszka, J
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Drepper, T
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Armbruster, A
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Hörner, M
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Weber, W
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Jaeger, M
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Vincentelli, R
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Lasserre, R
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Qiu, K
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Xu, X
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Zhang, K
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Diao, J
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Song, Y
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Huang, P
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Duan, L
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Li, M
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Park, BM
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Li, Z
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Huang, W
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Sun, F
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Gerrard, EJ
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Tichy, A
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Janovjak, H
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Gangemi, CG
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Wegner, SV
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Raab, CA
Abstract:
This volume explores the latest advancements in the field of optogenetics and how it uses cellular light-sensing components and genetic engineering to control proteins and biological processes. The book chapters are organized into four parts. Part One focuses on intracellular optogenetic components for control of specific cell functions; Part Two looks at externally supplied light regulators that do not require genetic manipulation of target cells; Part Three highlights optogenetic control of organelles, and Part Four introduces technical tools required for light induction in optogenetic experiments, as well as a method for performing and analyzing optogenetic cell-cell adhesion. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Cutting-edge and practical, Optogenetics: Methods and Protocols is a valuable resource to help researchers understand and apply the concepts of optogenetics and the underlying bioengineering principles, and establish the required technical light-illumination setups for administering light inputs and analysis of experimental outcomes.
2.
Machine Learning-Assisted Engineering of Light, Oxygen, Voltage Photoreceptor Adduct Lifetime.
Abstract:
Naturally occurring and engineered flavin-binding, blue-light-sensing, light, oxygen, voltage (LOV) photoreceptor domains have been used widely to design fluorescent reporters, optogenetic tools, and photosensitizers for the visualization and control of biological processes. In addition, natural LOV photoreceptors with engineered properties were recently employed for optimizing plant biomass production in the framework of a plant-based bioeconomy. Here, the understanding and fine-tuning of LOV photoreceptor (kinetic) properties is instrumental for application. In response to blue-light illumination, LOV domains undergo a cascade of photophysical and photochemical events that yield a transient covalent FMN-cysteine adduct, allowing for signaling. The rate-limiting step of the LOV photocycle is the dark-recovery process, which involves adduct scission and can take between seconds and days. Rational engineering of LOV domains with fine-tuned dark recovery has been challenging due to the lack of a mechanistic model, the long time scale of the process, which hampers atomistic simulations, and a gigantic protein sequence space covering known mutations (combinatorial challenge). To address these issues, we used machine learning (ML) trained on scarce literature data and iteratively generated and implemented experimental data to design LOV variants with faster and slower dark recovery. Over the three prediction–validation cycles, LOV domain variants were successfully predicted, whose adduct-state lifetimes spanned 7 orders of magnitude, yielding optimized tools for synthetic (opto)biology. In summary, our results demonstrate ML as a viable method to guide the design of proteins even with limited experimental data and when no mechanistic model of the underlying physical principles is available.
3.
Lights on and action! Controlling microbial gene expression by light.
Abstract:
Light-mediated control of gene expression and thus of any protein function and metabolic process in living microbes is a rapidly developing field of research in the areas of functional genomics, systems biology, and biotechnology. The unique physical properties of the environmental factor light allow for an independent photocontrol of various microbial processes in a noninvasive and spatiotemporal fashion. This mini review describes recently developed strategies to generate photo-sensitive expression systems in bacteria and yeast. Naturally occurring and artificial photoswitches consisting of light-sensitive input domains derived from different photoreceptors and regulatory output domains are presented and individual properties of light-controlled expression systems are discussed.
4.
LOVely enzymes - towards engineering light-controllable biocatalysts.
Abstract:
Light control over enzyme function represents a novel and exciting field of biocatalysis research. Blue-light photoreceptors of the Light, Oxygen, Voltage (LOV) family have recently been investigated for their applicability as photoactive switches. We discuss here the primary photochemical events leading to light activation of LOV domains as well as the proposed signal propagation mechanism to the respective effector domain. Furthermore, we describe the construction of LOV fusions to different effector domains, namely a dihydrofolate reductase from Escherichia coli and a lipase from Bacillus subtilis. Both fusion partners retained functionality, and alteration of enzyme activity by light was also demonstrated. Hence, it appears that fusion of LOV photoreceptors to functional enzyme target sites via appropriate linker structures may represent a straightforward strategy to design light controllable biocatalysts.