Source 1primary paper2025MED
Toolkit/imaging-based phase-separated-condensate PPI profiling method
imaging-based phase-separated-condensate PPI profiling method
Taxonomy: Technique Branch / Method. Workflows sit above the mechanism and technique branches rather than replacing them.
Summary
Here we show an imaging-based method that profiles protein-protein interactions (PPIs) through phase-separated condensates.
Usefulness & Problems
Why this is useful
This method profiles protein-protein interactions using an imaging readout based on phase-separated condensates. In this paper it was used to examine interactions between Rho small GTPases and their effector proteins.; profiling protein-protein interactions; screening interactions between Rho small GTPases and effector proteins
Source:
This method profiles protein-protein interactions using an imaging readout based on phase-separated condensates. In this paper it was used to examine interactions between Rho small GTPases and their effector proteins.
Source:
profiling protein-protein interactions
Source:
screening interactions between Rho small GTPases and effector proteins
Problem solved
It enables interaction profiling across a large set of candidate Rho GTPase-effector pairs. This supports discovery of intrinsic migration-related interaction mechanisms.; provides an imaging-based way to profile many PPIs
Source:
It enables interaction profiling across a large set of candidate Rho GTPase-effector pairs. This supports discovery of intrinsic migration-related interaction mechanisms.
Source:
provides an imaging-based way to profile many PPIs
Problem links
provides an imaging-based way to profile many PPIs
LiteratureIt enables interaction profiling across a large set of candidate Rho GTPase-effector pairs. This supports discovery of intrinsic migration-related interaction mechanisms.
Source:
It enables interaction profiling across a large set of candidate Rho GTPase-effector pairs. This supports discovery of intrinsic migration-related interaction mechanisms.
Published Workflows
Objective: Profile Rho small GTPase-effector protein interactions at scale and use those interaction profiles to uncover intrinsic mechanisms governing cell migration.
Why it works: The paper states that applying the imaging-based condensate PPI profiling method to hundreds of Rho GTPase-effector interaction profiles uncovered two intrinsic mechanisms governing cell migration.
FMNL restriction of Cdc42 activityRac1-ROCK-interaction-mediated arc stress fiber formation at the frontimaging-based PPI profilingphase-separated condensate assay
Taxonomy & Function
Primary hierarchy
Technique Branch
Method: A concrete measurement method used to characterize an engineered system.
Mechanisms
phase separationTechniques
Functional AssayTarget processes
signalingImplementation Constraints
cofactor dependency: cofactor requirement unknownencoding mode: genetically encodedimplementation constraint: context specific validationoperating role: sensor
The abstract supports that the method requires imaging and a phase-separated condensate-based assay format. It does not specify constructs, instrumentation, or analysis software.; requires imaging and phase-separated condensate readout
The abstract does not show that the method alone establishes causal migration phenotypes without downstream biological interpretation. It also does not provide direct evidence here about method generality outside the reported Rho GTPase-effector set.; the abstract does not provide the method name or implementation details
Validation
Cell-freeBacteriaMammalianMouseHumanTherapeuticIndep. Replication
Supporting Sources
Ranked Claims
An imaging-based method profiles protein-protein interactions through phase-separated condensates.
Here we show an imaging-based method that profiles protein-protein interactions (PPIs) through phase-separated condensates.
The imaging-based phase-separated-condensate PPI profiling method was applied to hundreds of interaction profiles between Rho small GTPases and their effector proteins.
By applying this method to hundreds of interaction profiles between Rho small GTPases and their effector proteins, we uncovered two intrinsic mechanisms governing cell migration.
interaction profile count hundreds
Approval Evidence
1 source2 linked approval claimsfirst-pass slug imaging-based-phase-separated-condensate-ppi-profiling-method
Here we show an imaging-based method that profiles protein-protein interactions (PPIs) through phase-separated condensates.
Source:
method capabilitysupports
An imaging-based method profiles protein-protein interactions through phase-separated condensates.
Here we show an imaging-based method that profiles protein-protein interactions (PPIs) through phase-separated condensates.
Source:
screening scalesupports
The imaging-based phase-separated-condensate PPI profiling method was applied to hundreds of interaction profiles between Rho small GTPases and their effector proteins.
By applying this method to hundreds of interaction profiles between Rho small GTPases and their effector proteins, we uncovered two intrinsic mechanisms governing cell migration.
Source:
Comparisons
Source-stated alternatives
No explicit alternative PPI profiling method is named in the abstract.
Source:
No explicit alternative PPI profiling method is named in the abstract.
Source-backed strengths
applied to hundreds of interaction profiles
Source:
applied to hundreds of interaction profiles
Compared with 3D microelectrode arrays
imaging-based phase-separated-condensate PPI profiling method and 3D microelectrode arrays address a similar problem space because they share signaling.
Shared frame: same top-level item type; shared target processes: signaling
Compared with affinity purification-mass spectrometry
imaging-based phase-separated-condensate PPI profiling method and affinity purification-mass spectrometry address a similar problem space because they share signaling.
Shared frame: same top-level item type; shared target processes: signaling
Compared with multicomponent, ligand-functionalized microarrays
imaging-based phase-separated-condensate PPI profiling method and multicomponent, ligand-functionalized microarrays address a similar problem space because they share signaling.
Shared frame: same top-level item type; shared target processes: signaling
Ranked Citations
- 1.