Divergent Morphologies and Common Signaling Features of Active and Inactive Oncogenic RHOA Mutants in Yeast

  • Chenwei Wang
  • , Shinsuke Ohnuki
  • , Anna Savchenko
  • , Hiroyuki Aburatani
  • , Satoshi Yoshida
  • , Riko Hatakeyama
  • , Yoshikazu Ohya

Research output: Contribution to journalArticlepeer-review

Abstract

RHOA, a member of the Rho family of small GTPases, harbors recurrent mutations in diverse cancers, but how these mutations cause their cellular effects remains poorly understood. To investigate their cellular consequences, we expressed oncogenic RHOA variants (R5Q, G17V, C16R, and A161P) in Saccharomyces cerevisiae, substituting for the essential yeast homologue RHO1. While the E40Q variant failed to complement RHO1 deletion, other mutants supported viability and enabled phenotypic characterization. All four variants conferred myriocin resistance, suggesting activation of the membrane stress response pathway, but induced no major changes in growth or caspofungin sensitivity. Using high-dimensional image analysis, we quantified 501 morphological parameters and applied principal component analysis and linear discriminant analysis to determine distinct phenotypic profiles. Gain-of-function (C16R and A161P) and loss-of-function (R5Q and G17V) mutants formed separate morphological clusters, indicating functional divergence. Our yeast model enabled systematic dissection of the functions of RHOA mutants and highlighted the utility of morphology-based approaches to characterize context-dependent mechanisms of oncogenesis.

Original languageEnglish
Article number1439
Number of pages16
JournalCells
Volume14
Issue number18
DOIs
Publication statusPublished - 15 Sept 2025

Funding

This research was funded by Grants-in-Aid for Scientific Research from the Ministry of Education, Culture, Sports, Science and Technology, Japan, to Y.O. (22H02216) and the Biotechnology and Biological Sciences Research Council, UK, to R.H. (BB/V016334/1).

FundersFunder number
Biotechnology and Biological Sciences Research CouncilBB/V016334

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 3 - Good Health and Well-being
      SDG 3 Good Health and Well-being

    Keywords

    • Saccharomyces cerevisiae/genetics
    • rhoA GTP-Binding Protein/genetics
    • Signal Transduction
    • Mutation/genetics
    • Saccharomyces cerevisiae Proteins/metabolism
    • Phenotype
    • rho GTP-Binding Proteins/genetics

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