Ancient and animal-specific regulatory modes of EWS::FLI1 revealed by a minimal yeast model

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ID: 329998
2026
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Abstract
Abstract Ewing sarcoma (EwS) is an aggressive, human-exclusive tumor typically driven by the EWS::FLI1 fusion protein. To assess whether EWS::FLI1’s neomorphic functions depend on evolutionarily recent cofactors we expressed EWS::FLI1 in Saccharomyces cerevisiae, a minimal system in which the BAF complex is strongly diverged and ETS transcription factors (ETS-TFs), Polycomb group (PcG) proteins, and CBP/p300 are absent. We used co-IP/MS to map the yeast interactome, ChIP-seq to identify gDNA binding sequences, RNA-seq for gene expression, and engineered reporters to test conversion of GGAA tandem repeats (GGAAμSat) into neoenhancers. We found that the yeast EWS::FLI1 interactome was limited and distinct from its human counterpart, sharing core machinery (RNA Polymerase II, FACT) but lacking BAF/SWI-SNF and spliceosome complexes, and showing enrichment for SAGA. EWS::FLI1 binds to hundreds of yeast genomic sites with preference for putative ETS-TF consensus sequences and CA dinucleotide repeats, and redirects RNA Polymerase II to EWS::FLI1-bound loci. Yet, EWS::FLI1-expressing cells presented only minimal transcriptional dysregulation, in contrast to the extensive changes observed in human and Drosophila cells. Finally, EWS::FLI1 successfully converted silent GGAAμSat sequences into active enhancers in yeast. This remarkable result occurs despite the absence of homologs for key human activators, such as CBP/p300, suggesting that EWS::FLI1 can mobilize functionally related, non-homologous pathways to establish neoenhancers at GGAAμSat sites. Altogether, our results indicate that EWS::FLI1's core ability to drive GGAAμSat-dependent gene expression is a conserved, ancient property, while GGAAμSat-independent extensive transcriptome reprogramming depends on animal-specific cofactors and pathways.
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openalex_W7214666959 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors
Journal PNAS nexus
Year 2026
DOI
10.1093/pnasnexus/pgag329
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