near-infrared TC10 FRET biosensor
Construct PatternTo demonstrate the utility of this tool, we performed multiplex live-cell imaging with a previously developed near-infrared FRET biosensor for the exocytic Rho GTPase TC10.
Browse the toolkit beneath workflows. The mechanism branch runs mechanism -> architecture -> component, while the technique branch runs from high-level approaches down to concrete methods.
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Mechanism Branch
Layer 1
Mechanisms
Top-level concepts: biophysical action modes such as heterodimerization, photocleavage, or RNA binding.
Layer 2
Architectures
Arrangements that realize or deploy mechanisms, including switches, construct patterns, and delivery strategies.
Layer 3
Components
Low-level parts and sequence-defined elements used inside architectures, including protein domains and RNA elements.
Technique Branch
Layer 1
Approaches
High-level engineering practices such as computational design, directed evolution, sequence verification, and functional assay.
Layer 2
Methods
Concrete methods used to design, build, verify, or characterize engineered systems.
Showing 1-11 of 11
To demonstrate the utility of this tool, we performed multiplex live-cell imaging with a previously developed near-infrared FRET biosensor for the exocytic Rho GTPase TC10.
Single cell FRET measurements with Rho GTPase biosensors are a quantitative cell-based assay used in primary human endothelial cells to monitor guanine nucleotide exchange factor activity toward Cdc42 and Rac1. In the cited study, the method was applied to compare the cellular activities of overexpressed endothelial GEFs.
Here, we describe the development and validation of a single-chain, genetically encoded Förster resonance energy transfer (FRET) biosensor that enables direct visualization of RhoB activity in living cells while preserving its native membrane-targeting determinants.
we emphasize a FRET-based immunological synapse biosensor as a powerful system that directly assesses CAR activation upon antigen binding. This platform offers significant advantages in speed and scalability for predicting CAR-T cell functionality.
Organic voltage nanosensors based on polystyrene beads and nanodisk technology utilize Fluorescence (Förster) Resonance Energy Transfer (FRET) to sense local electric fields. Non-invasive MP recording from individual targeted sites (synapses and spines) with nanodisks has been realized.
Booster is a red-shifted genetically encoded FRET biosensor backbone generated by optimizing the order of fluorescent proteins and modulatory domains within a biosensor architecture. In the reported implementation, a Booster-PKA sensor enabled kinase activity readout in a spectral window compatible with CFP/YFP-based FRET biosensors and blue light-responsive optogenetic tools.
Booster-PKA is a genetically encoded protein kinase A activity biosensor built on the red-shifted Booster Förster resonance energy transfer (FRET) backbone. It reports PKA signaling with performance comparable to AKAR3EV and can be used simultaneously with a CFP/YFP-based ERK FRET biosensor.
The supplied source scaffold identifies a FRET-based biosensor for measuring Gα13 activation in single cells as a directly relevant subtype-specific optical biosensor.
Organic voltage nanosensors based on polystyrene beads and nanodisk technology utilize Fluorescence (Förster) Resonance Energy Transfer (FRET) to sense local electric fields.
here we report the development of a second-generation biosensor called ECATS2 with greater than three-fold higher affinity for extracellular ATP
Imaging neural spiking in brain tissue using FRET-opsin protein voltage sensors