Biology subjects

Crespo, E. L.

Publications and source records attributed to Crespo, E. L..

5 recordsLinked to original sources

bioRxiv2023

Engineering luminopsins with improved coupling efficiencies

SignificanceLuminopsins (LMOs) are bioluminescent-optogenetic tools with a luciferase fused to an opsin that allow bimodal control of neurons by providing both optogenetic and chemogenetic access. Determining which design features contribute to the efficacy of LMOs will be beneficial for further improving LMOs for use in research. AimWe investigated the relative impact of luciferase brightness, opsin sensitivity, pairing of emission and absorption wavelength, and arrangement of moieties on the function of LMOs. ApproachWe quantified efficacy of LMOs through whole cell patch clamp recordings in HEK293 cells by determining coupling efficiency, the percentage of maximum LED induced photocurrent achieved with bioluminescent activation of an opsin. We confirmed key results by multielectrode array (MEAs) recordings in primary neurons. ResultsLuciferase brightness and opsin sensitivity had the most impact on the efficacy of LMOs, and N-terminal fusions of luciferases to opsins performed better than C-terminal and multi-terminal fusions. Precise paring of luciferase emission and opsin absorption spectra appeared to be less critical. ConclusionsWhole cell patch clamp recordings allowed us to quantify the impact of different characteristics of LMOs on their function. Our results suggest that coupling brighter bioluminescent sources to more sensitive opsins will improve LMO function. As bioluminescent activation of opsins is most likely based on Forster resonance energy transfer (FRET), the most effective strategy for improving LMOs further will be molecular evolution of luciferase-fluorescent protein-opsin fusions.

molecular biology↗

bioRxiv2023

A Bioluminescent Activity Dependent (BLADe) Platform for Converting Neuronal Activity to Photoreceptor Activation

Genetically encoded sensors and actuators have advanced the ability to observe and manipulate cellular activity, yet few non-invasive strategies enable cells to directly couple their intracellular states to user-defined outputs. We promote a bioluminescent activity-dependent (BLADe) platform that facilitates programmable feedback through genetically encoded light generation. Using calcium (Ca{superscript 2}) flux as a model, we engineered a Ca{superscript 2}-dependent luciferase that functions as an activity-gated light source capable of photoactivating light-sensing actuators. As an initial demonstration of the versatility of this platform we present two separate use cases in neurons. In the first application, the presence of luciferin triggers Ca{superscript 2} dependent local illumination that provides activity dependent gene expression by activating a light-sensitive transcription factor. In the second application, neuronal activity-driven Ca{superscript 2} fluctuations via locally generated bioluminescence control neural dynamics through opsin activation in single cells, populations and intact tissue. BLADe can be expanded to couple any signal that bioluminescent enzymes can be engineered to detect with the wide variety of photosensing actuators. This modular strategy of coupling an activity dependent light emitter to a light sensing actuator offers, in principle, a generalizable framework for state dependent cell-autonomous control across biological systems.

neuroscience↗

bioRxiv2023

CaBLAM! A high-contrast bioluminescent Ca2+ indicator derived from an engineered Oplophorus gracilirostris luciferase

Measuring ongoing cellular activity is essential to understanding the dynamic functions of biological organisms. The most popular current approach is imaging fluorescence-based genetically encoded Ca2+ indicators (GECIs). While fluorescent probes are useful in many contexts, bioluminescence-based GECIs--probes that generate light through oxidation of a small-molecule by a luciferase or photoprotein--have several distinct advantages. Because bioluminescent (BL) GECIs do not use the bright extrinsic excitation light required for fluorescence, BL GECIs do not photobleach, do not suffer from nonspecific autofluorescent background, and do not cause phototoxicity. Further, BL GECIs can be applied in contexts where directly shining photons on an imaging target is not possible. Despite these advantages, the use of BL GECIs has to date been limited by their small changes in bioluminescence intensity, high baseline signal at resting Ca2+ concentrations, and suboptimal Ca2+ affinities. Here, we describe a new BL GECI, CaBLAM (Ca2+ BioLuminescence Activity Monitor), that displays much higher dynamic range than previous BL GECIs and has a Ca2+ affinity suitable for capturing physiological changes in cytosolic Ca2+ concentration. With these improvements, CaBLAM captures single-cell and subcellular resolution activity at high frame rates in cultured neurons and in vivo, and allows multi-hour recordings in mice and behaving zebrafish. This new advance provides a robust alternative to traditional fluorescent GECIs that can enable or enhance imaging across many experimental conditions.

neuroscience↗

bioRxiv2023

A FRET-based excitatory luminopsin with improved efficacy of bioluminescence-driven activation

SignificanceBioluminescent optogenetics (BL-OG) offers a unique and powerful approach to manipulate neural activity both opto- and chemogenetically using a single actuator molecule (a LuMinOpsin, LMO). AimTo further enhance the utility of BL-OG by improving the efficacy of chemogenetic (bioluminescence- driven) LMO activation. ApproachWe developed novel luciferases optimized for Forster resonance energy transfer (FRET) when fused to the fluorescent protein mNeonGreen, generating bright bioluminescent (BL) emitters spectrally tuned to Volvox Channelrhodopsin 1 (VChR1). ResultsA new LMO generated from this approach (LMO7) showed significantly stronger BL-driven opsin activation compared to previous and other new variants. We extensively benchmarked LMO7 against LMO3 (current standard), and found significantly stronger neuronal activity modulation ex vivo and in vivo, and efficient modulation of behavior. ConclusionsWe report a robust new option for achieving multiple modes of control in a single actuator, and a promising engineering strategy for continued improvement of BL-OG.

neuroscience↗

bioRxiv2023

Region-Based Epigenetic Clock Design Improves RRBS-Based Age Prediction

Recent studies suggest that epigenetic rejuvenation can be achieved using drugs that mimic calorie restriction and techniques such as reprogramming induced rejuvenation. To effectively test rejuvenation in vivo, mouse models are the safest alternative. However, we have found that the recent epigenetic clocks developed for mouse reduced-representation bisulphite sequencing (RRBS) data have significantly poor performance when applied to external datasets. We show that the sites captured and the coverage of key CpGs required for age prediction vary greatly between datasets, which likely contributes to the lack of transferability in RRBS clocks. To mitigate these coverage issues in RRBS-based age prediction, we present two novel design strategies that use average methylation over large regions rather than individual CpGs, whereby regions are defined by sliding windows (e.g. 5 kb), or density-based clustering of CpGs. We observe improved correlation and error in our regional blood clocks (RegBCs) compared to published individual-CpG-based techniques when applied to external datasets. The RegBCs are also more robust when applied to low coverage data and detect a negative age acceleration in mice undergoing calorie restriction. Our RegBCs offer a proof of principle that age prediction of RRBS datasets can be improved by accounting for multiple CpGs over a region, which negates the lack of read depth currently hindering individual-CpG-based approaches.

bioinformatics↗