Browse
Submit Data
Databases
API
Help

Dataset Information

22 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Genetically Encoded FRET Biosensor for Visualizing EphA4 Activity in Different Compartments of the Plasma Membrane.

ABSTRACT: The EphA4 receptor tyrosine kinase is well-known for its pivotal role in development, cancer progression, and neurological disorders. However, how EphA4 kinase activity is regulated in time and space still remains unclear. To visualize EphA4 activity in different membrane microdomains, we developed a sensitive EphA4 biosensor based on Förster resonance energy transfer (FRET), and targeted it in or outside raft-like microdomains in the plasma membrane. We showed that our biosensor can produce a robust and specific FRET response upon EphA4 activation, both in vitro and in live cells. Interestingly, we observed stronger FRET responses for the non-raft targeting biosensor than for the raft targeting biosensor, suggesting that stronger EphA4 activation may occur in non-raft regions. Further investigations revealed the importance of the actin cytoskeleton in suppressing EphA4 activity in raft-like microdomains. Therefore, our FRET-based EphA4 biosensor could serve as a powerful tool to visualize and investigate EphA4 activation and signaling in specific subcellular compartments of single live cells.

SUBMITTER: Pan Y

PROVIDER: S-EPMC8086899 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Json Xml

Similar Datasets

Conformational analysis of a genetically encoded FRET biosensor by SAXS.

Project description:Genetically encoded FRET (Foerster resonance energy transfer) sensors are exciting tools in modern cell biology. Changes in the conformation of a sensor lead to an altered emission ratio and provide the means to determine both temporal and spatial changes in target molecules, as well as the activity of enzymes. FRET sensors are widely used to follow phosphorylation events and to monitor the effects of elevated calcium levels. Here, we report for the first time, to our knowledge, on the analysis of the conformational changes involved in sensor function at low resolution using a combination of in vitro and in cellulo FRET measurements and small-angle scattering of x rays (SAXS). The large and dynamic structural rearrangements involved in the modification of the calcium- and phosphorylation-sensitive probe CYNEX4 are comprehensively characterized. It is demonstrated that the synergistic use of SAXS and FRET methods allows one to resolve the ambiguities arising due to the rotation of the sensor molecules and the flexibility of the probe.

| S-EPMC3379623 | biostudies-literature

Multiscale Photoacoustic Tomography of a Genetically Encoded Near-Infrared FRET Biosensor.

Project description:Photoacoustic tomography (PAT) with genetically encoded near-infrared probes enables visualization of specific cell populations in vivo at high resolution deeply in biological tissues. However, because of a lack of proper probes, PAT of cellular dynamics remains unexplored. Here, the authors report a near-infrared Forster resonance energy transfer (FRET) biosensor based on a miRFP670-iRFP720 pair of the near-infrared fluorescent proteins, which enables dynamic functional imaging of active biological processes in deep tissues. By photoacoustically detecting the changes in the optical absorption of the miRFP670 FRET-donor, they monitored cell apoptosis in deep tissue at high spatiotemporal resolution using PAT. Specifically, they detected apoptosis in single cells at a resolution of ≈3 µm in a mouse ear tumor, and in deep brain tumors (>3 mm beneath the scalp) of living mice at a spatial resolution of ≈150 µm with a 20 Hz frame rate. These results open the way for high-resolution photoacoustic imaging of dynamic biological processes in deep tissues using NIR biosensors and PAT.

| S-EPMC8564460 | biostudies-literature

Visualization of Src activity at different compartments of the plasma membrane by FRET imaging.

Project description:Membrane compartments function as segregated signaling platforms for different cellular functions. It is not clear how Src is regulated at different membrane compartments. To visualize local Src activity in live cells, a FRET-based Src biosensor was targeted in or outside of lipid rafts at the plasma membrane, via acylation or prenylation modifications on targeting tags either directly fused to the biosensor or coupled to the biosensor through an inducible heterodimerization system. In response to growth factors and pervanadate, the induction of Src activity in rafts was slower and weaker, dependent on actin and possibly its mediated transportation of Src from perinuclear regions to the plasma membrane. In contrast, the induction of Src activity in nonrafts was faster and stronger, dependent on microtubules. Hence, Src activity is differentially regulated via cytoskeleton at different membrane compartments.

| S-EPMC2647969 | biostudies-literature

Visualizing endogenous Rho activity with an improved localization-based, genetically encoded biosensor.

Project description:Rho GTPases are regulatory proteins, which orchestrate cell features such as morphology, polarity and movement. Therefore, probing Rho GTPase activity is key to understanding processes such as development and cell migration. Localization-based reporters for active Rho GTPases are attractive probes to study Rho GTPase-mediated processes in real time with subcellular resolution in living cells and tissue. Until now, relocation Rho biosensors (sensors that relocalize to the native location of active Rho GTPase) seem to have been only useful in certain organisms and have not been characterized well. In this paper, we systematically examined the contribution of the fluorescent protein and Rho-binding peptides on the performance of localization-based sensors. To test the performance, we compared relocation efficiency and specificity in cell-based assays. We identified several improved localization-based, genetically encoded fluorescent biosensors for detecting endogenous Rho activity. This enables a broader application of Rho relocation biosensors, which was demonstrated by using the improved biosensor to visualize Rho activity during several cellular processes, such as cell division, migration and G protein-coupled receptor signaling. Owing to the improved avidity of the new biosensors for Rho activity, cellular processes regulated by Rho can be better understood. This article has an associated First Person interview with the first author of the paper.

| S-EPMC8445605 | biostudies-literature

Gene expression profiling of wildtype vs. transgenic mice expressing the cardiac specific genetically encoded FRET biosensor Epac1-PLN

Project description:3’,5’-cyclic adenosine monophosphate (cAMP) is an ubiquitous second messenger which regulates multiple physiological functions by acting in distinct subcellular microdomains. Although several targeted cAMP biosensors have been developed and used in cell lines or neonatal cardiomyocytes, it is unclear whether such biosensors can be successfully used in vivo, especially in the context of disease. Here, we generated the first transgenic mouse model expressing a targeted cAMP sensor (Epac1-PLN) and analyzed microdomain-specific second messenger dynamics in the vicinity of the sarcoplasmic reticulum calcium ATPase (SERCA). We demonstrate the biocompatibility of this targeted sensor and its potential for real-time monitoring of compartmentalized cAMP signaling in adult cardiomyocytes isolated from healthy mouse heart and from in vivo cardiac disease model. Finally, we used gene arrays to verify that the mRNA expression levels of the main players involved in cAMP signaling such as beta-ARs, G-protein, adenylyl cyclases, PKAs, PDEs, and Epac were not significantly changed between wildtype and transgenic Epac1-PLN expressing cardiomyocytes. To compare cardiac specific mRNA expression between wildtype and Epac1-PLN transgenic mice, cardiomyocyte RNA from total of 5 individual wildtype and 5 Epac1-PLN transgenic mice was isolated and submitted for the Illumina gene array analysis to the Göttingen transcriptome analysis laboratory (TAL).

2015-03-02 | E-GEOD-65651 | biostudies-arrayexpress

Gene expression profiling of wildtype vs. transgenic mice expressing the cardiac specific genetically encoded FRET biosensor Epac1-PLN

2015-03-02 | GSE65651 | GEO

Structural Analysis of a Genetically Encoded FRET Biosensor by SAXS and MD Simulations.

Project description:Inspired by the modular architecture of natural signaling proteins, ligand binding proteins are equipped with two fluorescent proteins (FPs) in order to obtain Förster resonance energy transfer (FRET)-based biosensors. Here, we investigated a glucose sensor where the donor and acceptor FPs were attached to a glucose binding protein using a variety of different linker sequences. For three resulting sensor constructs the corresponding glucose induced conformational changes were measured by small angle X-ray scattering (SAXS) and compared to recently published single molecule FRET results (Höfig et al., ACS Sensors, 2018). For one construct which exhibits a high change in energy transfer and a large change of the radius of gyration upon ligand binding, we performed coarse-grained molecular dynamics simulations for the ligand-free and the ligand-bound state. Our analysis indicates that a carefully designed attachment of the donor FP is crucial for the proper transfer of the glucose induced conformational change of the glucose binding protein into a well pronounced FRET signal change as measured in this sensor construct. Since the other FP (acceptor) does not experience such a glucose induced alteration, it becomes apparent that only one of the FPs needs to have a well-adjusted attachment to the glucose binding protein.

| S-EPMC8234384 | biostudies-literature

Engineering genetically encoded FRET sensors.

Project description:Förster Resonance Energy Transfer (FRET) between two fluorescent proteins can be exploited to create fully genetically encoded and thus subcellularly targetable sensors. FRET sensors report changes in energy transfer between a donor and an acceptor fluorescent protein that occur when an attached sensor domain undergoes a change in conformation in response to ligand binding. The design of sensitive FRET sensors remains challenging as there are few generally applicable design rules and each sensor must be optimized anew. In this review we discuss various strategies that address this shortcoming, including rational design approaches that exploit self-associating fluorescent domains and the directed evolution of FRET sensors using high-throughput screening.

| S-EPMC4168480 | biostudies-literature

Real-time determination of intracellular oxygen in bacteria using a genetically encoded FRET-based biosensor.

Project description:BackgroundMolecular oxygen (O2) is one of the key metabolites of all obligate and facultative aerobic pro- and eukaryotes. It plays a fundamental role in energy homeostasis whereas oxygen deprivation, in turn, broadly affects various physiological and pathophysiological processes. Therefore, real-time monitoring of cellular oxygen levels is basically a prerequisite for the analysis of hypoxia-induced processes in living cells and tissues.ResultsWe developed a genetically encoded Förster resonance energy transfer (FRET)-based biosensor allowing the observation of changing molecular oxygen concentrations inside living cells. This biosensor named FluBO (fluorescent protein-based biosensor for oxygen) consists of the yellow fluorescent protein (YFP) that is sensitive towards oxygen depletion and the hypoxia-tolerant flavin-binding fluorescent protein (FbFP). Since O2 is essential for the formation of the YFP chromophore, efficient FRET from the FbFP donor domain to the YFP acceptor domain only occurs in the presence but not in the absence of oxygen. The oxygen biosensor was used for continuous real-time monitoring of temporal changes of O2 levels in the cytoplasm of Escherichia coli cells during batch cultivation.ConclusionsFluBO represents a unique FRET-based oxygen biosensor which allows the non-invasive ratiometric readout of cellular oxygen. Thus, FluBO can serve as a novel and powerful probe for investigating the occurrence of hypoxia and its effects on a variety of (patho)physiological processes in living cells.

| S-EPMC3364895 | biostudies-literature

A new genetically encoded single-chain biosensor for Cdc42 based on FRET, useful for live-cell imaging.

Project description:Cdc42 is critical in a myriad of cellular morphogenic processes, requiring precisely regulated activation dynamics to affect specific cellular events. To facilitate direct observations of Cdc42 activation in live cells, we developed and validated a new biosensor of Cdc42 activation. The biosensor is genetically encoded, of single-chain design and capable of correctly localizing to membrane compartments as well as interacting with its upstream regulators including the guanine nucleotide dissociation inhibitor. We characterized this new biosensor in motile mouse embryonic fibroblasts and observed robust activation dynamics at leading edge protrusions, similar to those previously observed for endogenous Cdc42 using the organic dye-based biosensor system. We then extended our validations and observations of Cdc42 activity to macrophages, and show that this new biosensor is able to detect differential activation patterns during phagocytosis and cytokine stimulation. Furthermore, we observe for the first time, a highly transient and localized activation of Cdc42 during podosome formation in macrophages, which was previously hypothesized but never directly visualized.

| S-EPMC4010534 | biostudies-literature

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data