Biology subjects

Pagano, S.

Publications and source records attributed to Pagano, S..

4 recordsLinked to original sources

bioRxiv2026

ARHGAP20 organizes spatial Rap1-RhoA signaling coordination controlling adhesion dynamics during migration

Cell migration requires the precise coordination of signaling pathways that regulate cytoskeletal dynamics and adhesion turnover. Rho GTPase-activating proteins (RhoGAPs) play critical roles in shaping these processes by controlling the spatial and temporal activity of small GTPases. ARHGAP20 is a RhoA-specific GAP, a downstream target of the Ras-related GTPase Rap1, and has been implicated in cancer cell motility, yet its functional role in coordinating migration-associated signaling remains poorly understood. Here, we investigated the role of ARHGAP20 in cell migration and its impact on the coordination between adhesion- and contractility-associated signaling pathways regulated by Rap1A and RhoA respectively. Using loss-of-function approaches in MTLn3 cells, we show that depletion of ARHGAP20 impairs both directed and random migration, leading to reduced cell velocity and displacement, and increased cell adhesion. To explore the underlying signaling mechanisms, we developed a genetically encoded FRET biosensor to monitor Rap1A activity and combined it with a near-infrared RhoA biosensor to simultaneously analyze their spatiotemporal dynamics in living cells. We found that Rap1A and RhoA activities are negatively coordinated during leading-edge dynamics and that ARHGAP20 depletion enhances this local anticorrelation. To further define where ARHGAP20 regulates Rap1A-RhoA signaling, we applied a microdomain-based analytical framework to quantify local signaling clusters. This analysis revealed that ARHGAP20 selectively modulates Rap1A-RhoA coordination outside focal adhesion regions, while leaving signaling correlations and overlap within focal adhesions unchanged. Subcellular localization analyses further reveal that ARHGAP20 is largely excluded from focal adhesions but associates with microtubules, the endoplasmic reticulum, the Golgi apparatus, and multiple Rab-positive vesicular compartments, supporting a trafficking-dependent mechanism for its spatial targeting. Together, our results identify ARHGAP20 as a regulator of cell migration that modulates the coordination between Rap1A and RhoA signaling through intracellular vesicular trafficking, highlighting the GAPs role in organizing the spatial coupling between signaling pathways in adhesion-associated regions required for efficient cell migration.

cell biology↗

bioRxiv2026

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.

cell biology↗

bioRxiv2022

Farnesyltransferase inhibition overcomes the adaptive resistance to osimertinib in EGFR-mutant NSCLC

Drug-tolerant "dormant" cells (DTC) have emerged as one of the major non-genetic mechanisms driving resistance to targeted therapy in lung cancer, although the sequence of events leading to entry and exit from dormancy remain poorly described. Here, we performed real-time monitoring of the cell cycle dynamics during the adaptive response to Epidermal Growth Factor Receptor tyrosine kinase inhibitors (EGFR-TKi) in a panel of EGFR-mutated lung cancer cell lines. We identified a rare population of S/G2 cycling cells (referred to as early escapers) that emerged in the first hours of treatment amongst stably arrested and progressively dying G1 cells. We determined that early escapers evolved from a non-proliferative differentiated alveolar type 1 (AT1) phenotype which was invariably associated with cytoskeletal remodeling through Rho/ROCK pathway activation. Using a panel of Rho-pathway inhibitors, we found that the farnesyltransferase inhibitor tipifarnib induced a complete clearance of EGFR-TKi-induced DTC thus fully preventing relapse in vitro. Using a xenograft model and a PDX model of EGFRL858R/T790M lung cancer, co-treatment with tipifarnib prevented relapse to osimertinib for up to 6 months with no evidence of toxicity. Among the farnesylated proteins regulated during osimertinib treatment, concomitant inhibition of RHOE and LaminB1 was sufficient to recapitulated FTIs effect. Osimertinib and tipifarnib co-treatment completely suppressed the emergence of AT1 phenotype, prevented mitosis of S/G2-treated cells and increased the apoptotic response through activation of ATF4-CHOP-dependent Integrated Stress Response (ISR) pathway. Our data strongly support the use of tipifarnib in combination with osimertinib in patients to effectively and durably prevent relapse.

cancer biology↗

bioRxiv2021

GPR55 in B cells limits atherosclerosis development and regulates plasma cell maturation

Identifying novel pathways regulating the adaptive immune response in chronic inflammatory diseases such as atherosclerosis is of particular interest in view of developing new therapeutic drugs. Here we report that the lipid receptor GPR55 is highly expressed by splenic B cells and inversely correlates with atheroma plaque size in mice. In human carotid endarterectomy specimen, GPR55 transcript levels were significantly lower in unstable compared to stable carotid plaques. To study the impact of GPR55 deficiency in atherosclerosis, we crossed Gpr55 knockout mice with apolipoprotein E (ApoE) knockout mice and subjected the mice to Western diet for 4 to 16 weeks. Compared to ApoE-/- controls, ApoE-/-Gpr55-/- mice developed larger plaques with increased necrotic core size, associated with elevated circulating and aortic leukocyte counts. Flow cytometry, immunofluorescence and RNA-sequencing analysis of splenic B cells in these mice revealed a hyperactivated B cell phenotype with disturbed plasma cell maturation and immunoglobulin (Ig)G antibody overproduction. The specific contribution of B cell GPR55 in atherosclerosis was further studied in mixed Gpr55-/-/{micro}MT bone marrow chimeras on low density receptor deficiency (Ldlr-/-) background, revealing that B-cell specific depletion of Gpr55 was sufficient to promote plaque development. Conversely, adoptive transfer of wildtype B cells into ApoE-/-Gpr55-/- mice blunted the proatherogenic phenotype. In vitro stimulation of splenocytes with the endogenous GPR55 ligand LPI promoted plasma cell proliferation and enhanced B cell activation marker expression, which was inhibited by the GPR55 antagonist CID16020046. Collectively, these discoveries provide new evidence for GPR55 as key modulator of the adaptive immune response in atherosclerosis. Targeting GPR55 could be useful to limit inflammation and plaque progression in patients suffering from atherosclerosis.

immunology↗