Source 1primary paper2021
Toolkit/FRET-based RhoA biosensor
FRET-based RhoA biosensor
Also known as: FRET-based biosensor
Taxonomy: Technique Branch / Method. Workflows sit above the mechanism and technique branches rather than replacing them.
Summary
The FRET-based RhoA biosensor is an assay method developed to visualize RhoA activity during optical control experiments using photoswitchable RhoGEF (psRhoGEF). The available evidence supports its use for monitoring RhoA signaling in the context of endogenous RhoA manipulation.
Usefulness & Problems
Why this is useful
This biosensor is useful for visualizing RhoA activity while psRhoGEF is used to optically regulate endogenous RhoA. The cited study used this combined setup to relate RhoA activation amplitude to distinct cellular responses.
Source:
We also develop a FRET-based biosensor to allow visualization of RhoA activity together with psRhoGEF control.
Source:
Here, we develop a photoswitchable RhoA guanine exchange factor, psRhoGEF, to precisely control endogenous RhoA activity.
Problem solved
It addresses the need to monitor RhoA activity in real time during optical perturbation of the same signaling pathway. In the reported application, this enabled analysis of how different levels of RhoA activation correspond to focal adhesion disassembly, growth, or both.
Source:
We also develop a FRET-based biosensor to allow visualization of RhoA activity together with psRhoGEF control.
Source:
Here, we develop a photoswitchable RhoA guanine exchange factor, psRhoGEF, to precisely control endogenous RhoA activity.
Taxonomy & Function
Primary hierarchy
Technique Branch
Method: A concrete measurement method used to characterize an engineered system.
Techniques
Functional AssayTarget processes
No target processes tagged yet.
Implementation Constraints
cofactor dependency: cofactor requirement unknownencoding mode: genetically encodedimplementation constraint: context specific validationoperating role: sensor
The biosensor was developed for use together with psRhoGEF control in experiments on endogenous RhoA signaling. The provided evidence does not specify expression system, delivery method, fluorophore pair, calibration procedure, or imaging parameters.
The supplied evidence does not provide construct architecture, fluorophore identities, dynamic range, temporal resolution, or validation across multiple cell types or laboratories. Evidence is limited to a single cited study and a brief statement of development and use.
Validation
Cell-freeBacteriaMammalianMouseHumanTherapeuticIndep. Replication
Supporting Sources
Ranked Claims
High levels of RhoA activation induce both focal adhesion growth and disassembly in a ROCK-dependent manner.
while high levels induce both FA growth and disassembly in a ROCK-dependent manner.
High levels of RhoA activation induce both focal adhesion growth and disassembly in a ROCK-dependent manner.
while high levels induce both FA growth and disassembly in a ROCK-dependent manner.
High levels of RhoA activation induce both focal adhesion growth and disassembly in a ROCK-dependent manner.
while high levels induce both FA growth and disassembly in a ROCK-dependent manner.
High levels of RhoA activation induce both focal adhesion growth and disassembly in a ROCK-dependent manner.
while high levels induce both FA growth and disassembly in a ROCK-dependent manner.
High levels of RhoA activation induce both focal adhesion growth and disassembly in a ROCK-dependent manner.
while high levels induce both FA growth and disassembly in a ROCK-dependent manner.
High levels of RhoA activation induce both focal adhesion growth and disassembly in a ROCK-dependent manner.
while high levels induce both FA growth and disassembly in a ROCK-dependent manner.
High levels of RhoA activation induce both focal adhesion growth and disassembly in a ROCK-dependent manner.
while high levels induce both FA growth and disassembly in a ROCK-dependent manner.
High levels of RhoA activation induce both focal adhesion growth and disassembly in a ROCK-dependent manner.
while high levels induce both FA growth and disassembly in a ROCK-dependent manner.
High levels of RhoA activation induce both focal adhesion growth and disassembly in a ROCK-dependent manner.
while high levels induce both FA growth and disassembly in a ROCK-dependent manner.
High levels of RhoA activation induce both focal adhesion growth and disassembly in a ROCK-dependent manner.
while high levels induce both FA growth and disassembly in a ROCK-dependent manner.
Low levels of RhoA activation preferentially induce focal adhesion disassembly in a Src-dependent manner.
Using these new optical tools, we discover that low levels of RhoA activation preferentially induce FA disassembly in a Src-dependent manner
Low levels of RhoA activation preferentially induce focal adhesion disassembly in a Src-dependent manner.
Using these new optical tools, we discover that low levels of RhoA activation preferentially induce FA disassembly in a Src-dependent manner
Low levels of RhoA activation preferentially induce focal adhesion disassembly in a Src-dependent manner.
Using these new optical tools, we discover that low levels of RhoA activation preferentially induce FA disassembly in a Src-dependent manner
Low levels of RhoA activation preferentially induce focal adhesion disassembly in a Src-dependent manner.
Using these new optical tools, we discover that low levels of RhoA activation preferentially induce FA disassembly in a Src-dependent manner
Low levels of RhoA activation preferentially induce focal adhesion disassembly in a Src-dependent manner.
Using these new optical tools, we discover that low levels of RhoA activation preferentially induce FA disassembly in a Src-dependent manner
Low levels of RhoA activation preferentially induce focal adhesion disassembly in a Src-dependent manner.
Using these new optical tools, we discover that low levels of RhoA activation preferentially induce FA disassembly in a Src-dependent manner
Low levels of RhoA activation preferentially induce focal adhesion disassembly in a Src-dependent manner.
Using these new optical tools, we discover that low levels of RhoA activation preferentially induce FA disassembly in a Src-dependent manner
Low levels of RhoA activation preferentially induce focal adhesion disassembly in a Src-dependent manner.
Using these new optical tools, we discover that low levels of RhoA activation preferentially induce FA disassembly in a Src-dependent manner
Low levels of RhoA activation preferentially induce focal adhesion disassembly in a Src-dependent manner.
Using these new optical tools, we discover that low levels of RhoA activation preferentially induce FA disassembly in a Src-dependent manner
Low levels of RhoA activation preferentially induce focal adhesion disassembly in a Src-dependent manner.
Using these new optical tools, we discover that low levels of RhoA activation preferentially induce FA disassembly in a Src-dependent manner
Rheostatic control of RhoA activation with photoswitchable RhoGEF reveals that cells can use signal amplitude to produce multiple responses to a single biochemical signal.
Thus, rheostatic control of RhoA activation with photoswitchable RhoGEF reveals that cells can use signal amplitude to produce multiple responses to a single biochemical signal.
Rheostatic control of RhoA activation with photoswitchable RhoGEF reveals that cells can use signal amplitude to produce multiple responses to a single biochemical signal.
Thus, rheostatic control of RhoA activation with photoswitchable RhoGEF reveals that cells can use signal amplitude to produce multiple responses to a single biochemical signal.
Rheostatic control of RhoA activation with photoswitchable RhoGEF reveals that cells can use signal amplitude to produce multiple responses to a single biochemical signal.
Thus, rheostatic control of RhoA activation with photoswitchable RhoGEF reveals that cells can use signal amplitude to produce multiple responses to a single biochemical signal.
Rheostatic control of RhoA activation with photoswitchable RhoGEF reveals that cells can use signal amplitude to produce multiple responses to a single biochemical signal.
Thus, rheostatic control of RhoA activation with photoswitchable RhoGEF reveals that cells can use signal amplitude to produce multiple responses to a single biochemical signal.
Rheostatic control of RhoA activation with photoswitchable RhoGEF reveals that cells can use signal amplitude to produce multiple responses to a single biochemical signal.
Thus, rheostatic control of RhoA activation with photoswitchable RhoGEF reveals that cells can use signal amplitude to produce multiple responses to a single biochemical signal.
Rheostatic control of RhoA activation with photoswitchable RhoGEF reveals that cells can use signal amplitude to produce multiple responses to a single biochemical signal.
Thus, rheostatic control of RhoA activation with photoswitchable RhoGEF reveals that cells can use signal amplitude to produce multiple responses to a single biochemical signal.
Rheostatic control of RhoA activation with photoswitchable RhoGEF reveals that cells can use signal amplitude to produce multiple responses to a single biochemical signal.
Thus, rheostatic control of RhoA activation with photoswitchable RhoGEF reveals that cells can use signal amplitude to produce multiple responses to a single biochemical signal.
Rheostatic control of RhoA activation with photoswitchable RhoGEF reveals that cells can use signal amplitude to produce multiple responses to a single biochemical signal.
Thus, rheostatic control of RhoA activation with photoswitchable RhoGEF reveals that cells can use signal amplitude to produce multiple responses to a single biochemical signal.
Rheostatic control of RhoA activation with photoswitchable RhoGEF reveals that cells can use signal amplitude to produce multiple responses to a single biochemical signal.
Thus, rheostatic control of RhoA activation with photoswitchable RhoGEF reveals that cells can use signal amplitude to produce multiple responses to a single biochemical signal.
Rheostatic control of RhoA activation with photoswitchable RhoGEF reveals that cells can use signal amplitude to produce multiple responses to a single biochemical signal.
Thus, rheostatic control of RhoA activation with photoswitchable RhoGEF reveals that cells can use signal amplitude to produce multiple responses to a single biochemical signal.
A FRET-based biosensor was developed to visualize RhoA activity together with psRhoGEF control.
We also develop a FRET-based biosensor to allow visualization of RhoA activity together with psRhoGEF control.
A FRET-based biosensor was developed to visualize RhoA activity together with psRhoGEF control.
We also develop a FRET-based biosensor to allow visualization of RhoA activity together with psRhoGEF control.
A FRET-based biosensor was developed to visualize RhoA activity together with psRhoGEF control.
We also develop a FRET-based biosensor to allow visualization of RhoA activity together with psRhoGEF control.
A FRET-based biosensor was developed to visualize RhoA activity together with psRhoGEF control.
We also develop a FRET-based biosensor to allow visualization of RhoA activity together with psRhoGEF control.
A FRET-based biosensor was developed to visualize RhoA activity together with psRhoGEF control.
We also develop a FRET-based biosensor to allow visualization of RhoA activity together with psRhoGEF control.
A FRET-based biosensor was developed to visualize RhoA activity together with psRhoGEF control.
We also develop a FRET-based biosensor to allow visualization of RhoA activity together with psRhoGEF control.
A FRET-based biosensor was developed to visualize RhoA activity together with psRhoGEF control.
We also develop a FRET-based biosensor to allow visualization of RhoA activity together with psRhoGEF control.
A FRET-based biosensor was developed to visualize RhoA activity together with psRhoGEF control.
We also develop a FRET-based biosensor to allow visualization of RhoA activity together with psRhoGEF control.
A FRET-based biosensor was developed to visualize RhoA activity together with psRhoGEF control.
We also develop a FRET-based biosensor to allow visualization of RhoA activity together with psRhoGEF control.
A FRET-based biosensor was developed to visualize RhoA activity together with psRhoGEF control.
We also develop a FRET-based biosensor to allow visualization of RhoA activity together with psRhoGEF control.
A FRET-based biosensor was developed to visualize RhoA activity together with psRhoGEF control.
We also develop a FRET-based biosensor to allow visualization of RhoA activity together with psRhoGEF control.
A FRET-based biosensor was developed to visualize RhoA activity together with psRhoGEF control.
We also develop a FRET-based biosensor to allow visualization of RhoA activity together with psRhoGEF control.
A FRET-based biosensor was developed to visualize RhoA activity together with psRhoGEF control.
We also develop a FRET-based biosensor to allow visualization of RhoA activity together with psRhoGEF control.
A FRET-based biosensor was developed to visualize RhoA activity together with psRhoGEF control.
We also develop a FRET-based biosensor to allow visualization of RhoA activity together with psRhoGEF control.
A FRET-based biosensor was developed to visualize RhoA activity together with psRhoGEF control.
We also develop a FRET-based biosensor to allow visualization of RhoA activity together with psRhoGEF control.
A FRET-based biosensor was developed to visualize RhoA activity together with psRhoGEF control.
We also develop a FRET-based biosensor to allow visualization of RhoA activity together with psRhoGEF control.
A FRET-based biosensor was developed to visualize RhoA activity together with psRhoGEF control.
We also develop a FRET-based biosensor to allow visualization of RhoA activity together with psRhoGEF control.
psRhoGEF was developed to precisely control endogenous RhoA activity.
Here, we develop a photoswitchable RhoA guanine exchange factor, psRhoGEF, to precisely control endogenous RhoA activity.
psRhoGEF was developed to precisely control endogenous RhoA activity.
Here, we develop a photoswitchable RhoA guanine exchange factor, psRhoGEF, to precisely control endogenous RhoA activity.
psRhoGEF was developed to precisely control endogenous RhoA activity.
Here, we develop a photoswitchable RhoA guanine exchange factor, psRhoGEF, to precisely control endogenous RhoA activity.
psRhoGEF was developed to precisely control endogenous RhoA activity.
Here, we develop a photoswitchable RhoA guanine exchange factor, psRhoGEF, to precisely control endogenous RhoA activity.
psRhoGEF was developed to precisely control endogenous RhoA activity.
Here, we develop a photoswitchable RhoA guanine exchange factor, psRhoGEF, to precisely control endogenous RhoA activity.
psRhoGEF was developed to precisely control endogenous RhoA activity.
Here, we develop a photoswitchable RhoA guanine exchange factor, psRhoGEF, to precisely control endogenous RhoA activity.
psRhoGEF was developed to precisely control endogenous RhoA activity.
Here, we develop a photoswitchable RhoA guanine exchange factor, psRhoGEF, to precisely control endogenous RhoA activity.
psRhoGEF was developed to precisely control endogenous RhoA activity.
Here, we develop a photoswitchable RhoA guanine exchange factor, psRhoGEF, to precisely control endogenous RhoA activity.
psRhoGEF was developed to precisely control endogenous RhoA activity.
Here, we develop a photoswitchable RhoA guanine exchange factor, psRhoGEF, to precisely control endogenous RhoA activity.
psRhoGEF was developed to precisely control endogenous RhoA activity.
Here, we develop a photoswitchable RhoA guanine exchange factor, psRhoGEF, to precisely control endogenous RhoA activity.
Approval Evidence
1 source1 linked approval claimfirst-pass slug fret-based-rhoa-biosensor
We also develop a FRET-based biosensor to allow visualization of RhoA activity together with psRhoGEF control.
Source:
tool developmentsupports
A FRET-based biosensor was developed to visualize RhoA activity together with psRhoGEF control.
We also develop a FRET-based biosensor to allow visualization of RhoA activity together with psRhoGEF control.
Source:
Comparisons
Source-backed strengths
The main demonstrated strength is compatibility with psRhoGEF-based optical control, allowing visualization of RhoA activity together with perturbation of endogenous RhoA signaling. In that experimental context, the system supported conclusions about amplitude-dependent RhoA signaling outputs.
Compared with Field-domain rapid-scan EPR at 240 GHz
FRET-based RhoA biosensor and Field-domain rapid-scan EPR at 240 GHz address a similar problem space.
Shared frame: same top-level item type
Compared with fluorescence line narrowing
FRET-based RhoA biosensor and fluorescence line narrowing address a similar problem space.
Shared frame: same top-level item type
Compared with native green gel system
FRET-based RhoA biosensor and native green gel system address a similar problem space.
Shared frame: same top-level item type
Strengths here: looks easier to implement in practice.
Ranked Citations
- 1.