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

RhoB is an atypical Rho GTPase whose function is tightly linked to its subcellular localization and membrane trafficking, reflecting its unique post-translational modifications and association with endosomal membranes in addition to the plasma membrane. Despite its implication in membrane trafficking and cytoskeletal regulation, tools to directly monitor RhoB activity in space and time have been lacking. Here, we describe the development and validation of a single-chain, genetically encoded Forster resonance energy transfer (FRET) biosensor that enables direct visualization of RhoB activity in living cells while preserving its native membrane-targeting determinants. The biosensor exhibits a large dynamic range and resolves spatially heterogeneous RhoB activity during leading-edge protrusion - retraction cycles in migrating mouse embryonic fibroblasts. 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. Quantitative morphodynamic and cross-correlation analyses reveal coordinated yet antagonistic spatiotemporal patterns of RhoB and TC10 activities at the leading edge and show that perturbation of TC10 regulation reorganizes their spatial coupling. Together, this work introduces a robust biosensor for RhoB and establishes a multiplex imaging framework to study the coordination of trafficking and signaling during cell migration.

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Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-01-14
DOI
https://doi.org/10.64898/2026.01.13.699355
Primary Topic
Protein Kinase Regulation and GTPase Signaling
Type
article
Field-Weighted Citation Impact
0.00

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article

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

Sandra Pagano, Louis Hodgson
bioRxiv (Cold Spring Harbor Laboratory)
Protein Kinase Regulation and GTPase Signaling
article

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

Sandra Pagano, Louis Hodgson
article en

Abstract

RhoB is an atypical Rho GTPase whose function is tightly linked to its subcellular localization and membrane trafficking, reflecting its unique post-translational modifications and association with endosomal membranes in addition to the plasma membrane. Despite its implication in membrane trafficking and cytoskeletal regulation, tools to directly monitor RhoB activity in space and time have been lacking. Here, we describe the development and validation of a single-chain, genetically encoded Forster resonance energy transfer (FRET) biosensor that enables direct visualization of RhoB activity in living cells while preserving its native membrane-targeting determinants. The biosensor exhibits a large dynamic range and resolves spatially heterogeneous RhoB activity during leading-edge protrusion - retraction cycles in migrating mouse embryonic fibroblasts. 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. Quantitative morphodynamic and cross-correlation analyses reveal coordinated yet antagonistic spatiotemporal patterns of RhoB and TC10 activities at the leading edge and show that perturbation of TC10 regulation reorganizes their spatial coupling. Together, this work introduces a robust biosensor for RhoB and establishes a multiplex imaging framework to study the coordination of trafficking and signaling during cell migration.

bioRxiv (Cold Spring Harbor Laboratory)
Albert Einstein College of Medicine (US)
National Institutes of Health
Openalex Percentile: Top 88%
Protein Kinase Regulation and GTPase Signaling
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A new single chain, genetically encoded biosensor for RhoB GTPase based on FRET, useful for live-cell imaging — Sandra Pagano, Louis Hodgson · bioRxiv (Cold Spring Harbor Laboratory) (2026) | TGRS Research Map | TGRS