Biology subjects

Subach, F. V.

Publications and source records attributed to Subach, F. V..

5 recordsLinked to original sources

bioRxiv2025

Bright and Photostable Voltage Sensors Derived from mBaoJin

Genetically encoded voltage indicators (GEVIs) are powerful tools for monitoring neuronal activity, but their application, particularly for long-term recordings in vivo, is often limited by photobleaching under the required high illumination intensities. This constraint restricts the total duration of continuous or trial-based experiments, crucial for studying processes like synaptic plasticity or circuit dynamics during behavior. Here, we introduce ElectraON and ElectraOFF, a pair of green fluorescent eFRET-based GEVIs engineered by incorporating a photostability-enhanced derivative of the bright monomeric fluorescent protein mBaoJin with Ace opsin variants. Critically, Electras demonstrate over 6-fold improved photostability compared to state-of-the-art eFRET GEVIs, pAce, and Ace-mNeon2, under one-photon illumination, while characterized by bright green fluorescence, millisecond kinetics, and good membrane localization. This enhanced stability translates to a 3-to >10-fold extension in functional recording duration, maintaining reliable spike detection in both cultured neurons in vitro and sparsely labeled neurons in the awake mouse cortex in vivo. We demonstrated sustained in vivo recordings exceeding 30 minutes, with instances surpassing one hour. Furthermore, Electras show functionality under scanless two-photon excitation in cultured cells. These highly photostable indicators significantly extend the temporal window for voltage imaging, broadening the scope of accessible biological questions.

neuroscience↗

bioRxiv2025

A Set of Novel Far-Red Fluorescent Proteins for Temporal Domain Multiplexing and Super-Resolution Imaging

The diverse spectral and photochemical properties of fluorescent proteins enable a variety of imaging applications in cell biology, ranging from cellular and organelle labeling to super-resolution microscopy and multiplexed live cell imaging. Here, we report a set of novel far-red fluorescent proteins, named mfRFP, mfRFP-A, and mCardinal-A, which are characterized by similar fluorescence spectra with excitation/emission at [~]600/660 nm while exhibiting distinct photobleaching rates. Differences in photostability allowed us to perform per-pixel unmixing of the three far-red FPs imaged simultaneously by employing a recently introduced temporal domain multiplexing approach. We demonstrated the application of the temporal domain multiplexing approach with different combinations of far-red fluorescent proteins possessing nearly identical emission spectra by acquiring BrainBow-like images of cellular populations and distinguishing subcellular structures in mammalian cells using a single imaging channel without applying any hardware modifications to the conventional microscope. Unlike previous temporal domain multiplying approaches employing photophysical properties of fluorescent proteins, the current approach is a wide range of microscopy modalities, including 3D imaging with a spinning disk and point scanning confocal microscopy. The most photostable fluorescent protein in the set, mfRFP, was further benchmarked against spectrally similar FPs and applied for super-resolution imaging of structural proteins in mammalian cells and for neuroimaging of model organisms, including mice, zebrafish, and C. elegans.

biochemistry↗

bioRxiv2025

A photostable genetically encoded voltage indicator for imaging neural activities in tissue and live animals

Genetically encoded voltage indicators (GEVIs) enable noninvasive, high-speed monitoring of electrical activity but are constrained by limited brightness and rapid photobleaching under continuous illumination. Here, we present Vega, a highly photostable green fluorescence GEVI with both high sensitivity ({Delta}F/F = -33% per 100 mV) and fast response (1.34 ms). Under one-photon excitation at 1 W/cm2, Vega exhibits more than 20-fold slower photobleaching than the spectrally similar GEVI, Ace-mNeon2. In acute mouse brain slice, Vega enabled wide-field high-fidelity recording of action potentials from 51 neurons simultaneously. In pancreatic islets, it revealed heterogeneous {beta}-cell activation and intercellular coupling in response to glucose elevation. Finally, one-photon imaging in awake mice demonstrated stable cortical voltage mapping in vivo. Vega thus overcomes the longstanding photostability-performance trade-off, enabling chronic, high-fidelity voltage imaging across preparations.

bioengineering↗

bioRxiv2025

A Sensitive Soma-localized Red Fluorescent Calcium Indicator for Multi-Modality Imaging of Neuronal Populations In Vivo

Recent advancements in genetically encoded calcium indicators, particularly those based on green fluorescent proteins, have optimized their performance for monitoring neuronal activities in a variety of model organisms. However, progress in developing red-shifted GECIs, despite their advantages over green indicators, has been slower, resulting in fewer options for end-users. In this study, we explored topological inversion and soma-targeting strategies, which are complementary to conventional mutagenesis, to re-engineer a red genetically encoded calcium indicator, FRCaMP, for enhanced in vivo performance. The resulting sensors, FRCaMPi and soma-targeted FRCaMPi (SomaFRCaMPi), exhibit up to 2-fold higher dynamic range and peak {Delta}F/F0 per single AP compared to widely used jRGECO1a in neurons in culture and in vivo. Compared to jRGECO1a and FRCaMPi, SomaFRCaMPi reduces erroneous correlation of neuronal activity in the brains of mice and zebrafish by two- to four-fold due to diminished neuropil contamination without compromising the signal-to-noise ratio. Under wide-field imaging in primary somatosensory and visual cortex in mice with high labeling density (80-90%), SomaFRCaMPi exhibits up to 40% higher SNR and decreased artifactual correlation across neurons. Altogether, SomaFRCaMPi improves the accuracy and scale of neuronal activity imaging at single-neuron resolution in densely labeled brain tissues due to a 2-3-fold enhanced automated neuronal segmentation, 50% higher fraction of responsive cells, up to 2-fold higher SNR compared to jRGECO1a. Our findings highlight the potential of SomaFRCaMPi, comparable to the most sensitive soma-targeted GCaMP, for precise spatial recording of neuronal populations using popular imaging modalities in model organisms such as zebrafish and mice.

neuroscience↗

bioRxiv2024

Genetically Encoded Red Fluorescent Indicators for Imaging Intracellular and Extracellular Potassium Ions

Potassium ion (K+) dynamics are vital for various biological processes. However, the limited availability of detection tools for tracking intracellular and extracellular K+ has impeded a comprehensive understanding of the physiological roles of K+ in intact biological systems. In this study, we developed two novel red genetically encoded potassium indicators (RGEPOs), RGEPO1 and RGEPO2, through a combination of directed evolution in E. coli and subsequent optimization in mammalian cells. RGEPO1, targeted to the extracellular membrane, and RGEPO2, localized in the cytoplasm, exhibited positive K+-specific fluorescence response with affinities of 3.55 mM and 14.81 mM in HEK293FT cells, respectively. We employed RGEPOs for real-time monitoring of subsecond K+ dynamics in cultured neurons, astrocytes, acute brain slices, and the awake mouse in both intracellular and extracellular environments. Using RGEPOs, we were able, for the first time, to visualize intracellular and extracellular potassium transients during seizures in the brains of awake mice. Furthermore, molecular dynamics simulations provided new insights into the potassium-binding mechanisms of RGEPO1 and RGEPO2, revealing distinct K+-binding pockets and structural features. Thus, RGEPOs represent a significant advancement in potassium imaging, providing enhanced tools for real-time visualization of K+ dynamics in various cell types and cellular environments.

biochemistry↗