Analysis of Slow-Cycling Variants of the Light-Inducible Nuclear Protein Export System LEXY in Mammalian Cells

Machine Learning-Assisted Engineering of Light, Oxygen, Voltage Photoreceptor Adduct Lifetime

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.

Optogenetics for sensors: On-demand fluorescent labeling of histone epigenetics

Post-translational modifications of histones to a large extent determine the functional state of chromatin loci. Dynamic visualization of histone modifications with genetically encoded fluorescent sensors makes it possible to monitor changes in the epigenetic state of a single living cell. At the same time, the sensors can potentially compete with endogenous factors recognizing these modifications. Thus, prolonged binding of the sensors to chromatin can affect normal epigenetic regulation. Here, we report an optogenetic sensor for live-cell visualization of histone H3 methylated at lysine-9 (H3K9me3) named MPP8-LAMS (MPP8-based light-activated modification sensor). MPP8-LAMS consists of several fusion protein parts (from N- to C-terminus): i) nuclear export signal (NES), ii) far-red fluorescent protein Katushka, iii) H3K9me3-binding reader domain of the human M phase phosphoprotein 8 (MPP8), iv) the light-responsive AsLOV2 domain, which exposes a nuclear localization signal (NLS) upon blue light stimulation. In the dark, due to the NES, MPP8-LAMS is localized in the cytosol. Under blue light illumination, MPP8-LAMS underwent an efficient translocation from cytosol to nucleus, enabling visualization of H3K9me3-enriched loci. Such an on-demand visualization minimizes potential impact on cell physiology as most of the time the sensor is separated from its target. In general, the present work extends the application of optogenetics to the area of advanced use of genetically encoded sensors.

Residue alterations within a conserved hydrophobic pocket influence light, oxygen, voltage photoreceptor dark recovery

Light, oxygen, voltage (LOV) photoreceptors are widely distributed throughout all kingdoms of life, and have in recent years, due to their modular nature, been broadly used as sensor domains for the construction of optogenetic tools. For understanding photoreceptor function as well as for optogenetic tool design and fine-tuning, a detailed knowledge of the photophysics, photochemistry, and structural changes underlying the LOV signaling paradigm is instrumental. Mutations that alter the lifetime of the photo-adduct signaling state represent a convenient handle to tune LOV sensor on/off kinetics and, thus, steady-state on/off equilibria of the photoreceptor (or optogenetic switch). Such mutations, however, should ideally only influence sensor kinetics, while being benign with regard to the nature of the structural changes that are induced by illumination, i.e., they should not result in a disruption of signal transduction. In the present study, we identify a conserved hydrophobic pocket for which mutations have a strong impact on the adduct-state lifetime across different LOV photoreceptor families. Using the slow cycling bacterial short LOV photoreceptor PpSB1-LOV, we show that the I48T mutation within this pocket, which accelerates adduct rupture, is otherwise structurally and mechanistically benign, i.e., light-induced structural changes, as probed by NMR spectroscopy and X-ray crystallography, are not altered in the variant. Additional mutations within the pocket of PpSB1-LOV and the introduction of homologous mutations in the LOV photoreceptor YtvA of Bacillus subtilis and the Avena sativa LOV2 domain result in similarly altered kinetics. Given the conserved nature of the corresponding structural region, the here identified mutations should find application in dark-recovery tuning of optogenetic tools and LOV photoreceptors, alike.

Graphical abstract