X. Meng
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6 records found
1
This study shows that coupling to designed plasmonic nanoparticles can modulate the electrophysiological function of proteins in living mammalian cells. Nanostar-shaped particles, that are robust to biological noise, are designed to enable near-field-coupling to plasma membrane-localized mutated Archaerhodopsin proteins in live cells. The coupled rhodopsins exhibit enhanced fluorescence and an increased response speed to membrane voltage. Incorporating this plasmonic enhancement into a Markov chain photocycle model of the Archaerhodopsin mutant QuasAr6a, shows an increased fluorescence emission rate and manipulation of the protein dynamics through a combination of photocycle transition rate enhancements. The results show an improvement in fluorescence and voltage-response dynamics of the functional QuasAr6a Archaerhodopsin mutant, beyond what has been achievable through genetic engineering. This opens up possibilities for engineering the biological functionality of proteins through plasmonics: manipulating protein photocycles could improve light sensitivity, change optogenetic applications, and lead to fluorescent biosensors with enhanced dynamics.
Plasmonic enhancement of fluorescence has been challenging in in vivo imaging applications. We present a study demonstrating the plasmonic enhancement of fluorescent membrane proteins within their native physiological environment using tailored metallic nanoparticles. This work highlights two schemes to influence the distance between the emitting dipoles and the enhancing nanoparticles, namely the addition of nanoparticles in the buffer solution and the incorporation in the polymer matrix at the bottom of the cells. Incorporating biological structures native to the cellular environment offers opportunities for the optimization of in vivo fluorescence imaging methods and the detection of membrane proteins.
Novel microbial rhodopsins for optogenetics
Engineering, optimization and application ofmicroscopes, software, screening pipelines, and genetically encoded voltage indicators towards imaging neural dynamics
In optogenetics, the most widely used protein to report action potentials (AP) is genetically encoded calcium indicators (GECI), which change the green fluorescence level when there is a calcium influx in the neuron. However, it is not a directmeasure ofmembrane potential, which makes them incapable of reporting sub-threshold events. Moreover, they have slow kinetics that can not distinguish a single AP.
To truly report membrane voltage dynamics, genetically encoded voltage indicators (GEVIs) were developed. GEVIs use either voltage-sensing domains (VSD) or microbial rhodopsins to detect the change in membrane potential. This change is reflected through the fluorescence emission difference from the linked fluorescent proteins or the microbial rhodopsins themselves. GEVIs based on different scaffolds have evolved through several iterations to make them brighter and faster, and voltage imaging using GEVIs has provided insights into neuroscience problems in vivo. However, the performance is still quite limited: although the VSD-based GEVIs are bright, they require blue laser excitation for the fluorescent proteins. Because of this, they suffer more from scattering in deep tissue, and their transduction time from VSD to fluorescence emission limits the speed; The microbial rhodopsin based GEVIs show a sub-millisecond response. On the other side, the biggest issue is their orders of magnitude lower fluorescence. These drawbacks would result in a poor signal-to-noise ratio (SNR) of measured signals, which is discussed in Chapter 1.
The goal of my PhD is to develop better tools to increase the SNR of voltage imaging. This dissertation achieves this goal from different disciplinary perspectives: optical engineering, software development, and protein engineering through rational design and directed evolution…
...
In optogenetics, the most widely used protein to report action potentials (AP) is genetically encoded calcium indicators (GECI), which change the green fluorescence level when there is a calcium influx in the neuron. However, it is not a directmeasure ofmembrane potential, which makes them incapable of reporting sub-threshold events. Moreover, they have slow kinetics that can not distinguish a single AP.
To truly report membrane voltage dynamics, genetically encoded voltage indicators (GEVIs) were developed. GEVIs use either voltage-sensing domains (VSD) or microbial rhodopsins to detect the change in membrane potential. This change is reflected through the fluorescence emission difference from the linked fluorescent proteins or the microbial rhodopsins themselves. GEVIs based on different scaffolds have evolved through several iterations to make them brighter and faster, and voltage imaging using GEVIs has provided insights into neuroscience problems in vivo. However, the performance is still quite limited: although the VSD-based GEVIs are bright, they require blue laser excitation for the fluorescent proteins. Because of this, they suffer more from scattering in deep tissue, and their transduction time from VSD to fluorescence emission limits the speed; The microbial rhodopsin based GEVIs show a sub-millisecond response. On the other side, the biggest issue is their orders of magnitude lower fluorescence. These drawbacks would result in a poor signal-to-noise ratio (SNR) of measured signals, which is discussed in Chapter 1.
The goal of my PhD is to develop better tools to increase the SNR of voltage imaging. This dissertation achieves this goal from different disciplinary perspectives: optical engineering, software development, and protein engineering through rational design and directed evolution…
Voltage Imaging with Engineered Proton-Pumping Rhodopsins
Insights from the Proton Transfer Pathway
Voltage imaging using genetically encoded voltage indicators (GEVIs) has taken the field of neuroscience by storm in the past decade. Its ability to create subcellular and network level readouts of electrical dynamics depends critically on the kinetics of the response to voltage of the indicator used. Engineered microbial rhodopsins form a GEVI subclass known for their high voltage sensitivity and fast response kinetics. Here we review the essential aspects of microbial rhodopsin photocycles that are critical to understanding the mechanisms of voltage sensitivity in these proteins and link them to insights from efforts to create faster, brighter and more sensitive microbial rhodopsin-based GEVIs.
Genetically encoded voltage indicators, particularly those based on microbial rhodopsins, are gaining traction in neuroscience as fluorescent sensors for imaging voltage dynamics with high-spatiotemporal precision. Here we establish a novel genetically encoded voltage indicator candidate based on the recently discovered subfamily of the microbial rhodopsin clade, termed heliorhodopsins. We discovered that upon excitation at 530 to 560 nm, wildtype heliorhodopsin exhibits near-infrared fluorescence, which is sensitive to membrane voltage. We characterized the fluorescence brightness, photostability, voltage sensitivity, and kinetics of wildtype heliorhodopsin in HEK293T cells and further examined the impact of mutating key residues near the retinal chromophore. The S237A mutation significantly improved the fluorescence response of heliorhodopsin by 76% providing a highly promising starting point for further protein evolution.
Voltage imaging and optogenetics offer new routes to optically detect and influence neural dynamics. Optimized hardware is necessary to make the most of these new techniques. Here we present the Octoscope, a versatile, multimodal device for all-optical electrophysiology. We illustrate its concept and design and demonstrate its capability to perform both 1-photon and 2-photon voltage imaging with spatial and temporal light patterning, in both inverted and upright configurations, in vitro and in vivo.