Spectral CytoFRET2 identifies lysine acetyltransferase inhibitors as modulators of vimentin assembly
Larbret, F.; Irondelle, M.; Tartare-Deckert, S.; Deckert, M.
Show abstract
Cytoskeletal plasticity is a defining feature of cancer progression, enabling tumor cells to adapt their morphology, mechanics, and migratory behavior during invasion and metastasis. Although actin filaments, microtubules, and intermediate filaments are known to cooperate in these processes, the molecular mechanisms coordinating their dynamics remain incompletely understood, particularly the role of post-translational modifications (PTMs). Here, we developed CytoFRET2, a multiparametric cytometry-based FRET platform that enables real-time and simultaneous monitoring of the dynamics of actin filaments, microtubules, and vimentin in living suspension cells. The system combines fluorescently tagged cytoskeletal reporters with spectral flow cytometry, allowing simultaneous high-content analysis of multiple cytoskeletal networks while overcoming autofluorescence and fluorescence interference from small molecules. Using spectral CytoFRET2, we screened a small library of epigenetic compounds targeting regulators of acetylation and methylation pathways. The screen revealed that inhibition of lysine deacetylases (KDACs) and sirtuins promoted stabilization of both microtubules and vimentin filaments, without impacting actin filament organization. In contrast, inhibition of lysine acetyltransferases (KATs), particularly with garcinol and anacardic acid, induced rapid vimentin disassembly. Mechanistically, the study reveals acetylation as a key post-translational modification regulating the dynamics of microtubules and vimentin filaments, with KAT inhibitors emerging as potent modulators of vimentin organization. Together, the findings establish spectral CytoFRET2 as a versatile platform for systematic investigation of cytoskeletal regulatory networks and therapeutic vulnerabilities in cancer.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.