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Alternative molecular mechanisms for force transmission at adherens junctions via β-catenin-vinculin interaction

Author

Listed:
  • Nicole Morales-Camilo

    (Pontificia Universidad Católica De Chile)

  • Jingzhun Liu

    (National University of Singapore)

  • Manuel J. Ramírez

    (Pontificia Universidad Católica De Chile
    Pontificia Universidad Católica de Chile)

  • Patricio Canales-Salgado

    (Pontificia Universidad Católica de Chile
    Universidad de Santiago de Chile)

  • Juan José Alegría

    (Pontificia Universidad Católica de Chile
    Millennium Institute for Foundational Research on Data (IMFD))

  • Xuyao Liu

    (National University of Singapore
    National University of Singapore)

  • Hui Ting Ong

    (National University of Singapore)

  • Nelson P. Barrera

    (Pontificia Universidad Católica de Chile)

  • Angélica Fierro

    (Pontificia Universidad Católica de Chile)

  • Yusuke Toyama

    (National University of Singapore
    National University of Singapore)

  • Benjamin T. Goult

    (University of Kent
    University of Liverpool)

  • Yilin Wang

    (National University of Singapore)

  • Yue Meng

    (National University of Singapore)

  • Ryosuke Nishimura

    (National University of Singapore)

  • Kedsarin Fong-Ngern

    (National University of Singapore)

  • Christine Siok Lan Low

    (National University of Singapore)

  • Pakorn Kanchanawong

    (National University of Singapore
    National University of Singapore)

  • Jie Yan

    (National University of Singapore
    National University of Singapore)

  • Andrea Ravasio

    (Pontificia Universidad Católica de Chile)

  • Cristina Bertocchi

    (Pontificia Universidad Católica De Chile
    Osaka University)

Abstract

Force transmission through adherens junctions (AJs) is crucial for multicellular organization, wound healing and tissue regeneration. Recent studies shed light on the molecular mechanisms of mechanotransduction at the AJs. However, the canonical model fails to explain force transmission when essential proteins of the mechanotransduction module are mutated or missing. Here, we demonstrate that, in absence of α-catenin, β-catenin can directly and functionally interact with vinculin in its open conformation, bearing physiological forces. Furthermore, we found that β-catenin can prevent vinculin autoinhibition in the presence of α-catenin by occupying vinculin´s head-tail interaction site, thus preserving force transmission capability. Taken together, our findings suggest a multi-step force transmission process at AJs, where α-catenin and β-catenin can alternatively and cooperatively interact with vinculin. This can explain the graded responses needed to maintain tissue mechanical homeostasis and, importantly, unveils a force-bearing mechanism involving β-catenin and extended vinculin that can potentially explain the underlying process enabling collective invasion of metastatic cells lacking α-catenin.

Suggested Citation

  • Nicole Morales-Camilo & Jingzhun Liu & Manuel J. Ramírez & Patricio Canales-Salgado & Juan José Alegría & Xuyao Liu & Hui Ting Ong & Nelson P. Barrera & Angélica Fierro & Yusuke Toyama & Benjamin T. G, 2024. "Alternative molecular mechanisms for force transmission at adherens junctions via β-catenin-vinculin interaction," Nature Communications, Nature, vol. 15(1), pages 1-19, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-49850-5
    DOI: 10.1038/s41467-024-49850-5
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    References listed on IDEAS

    as
    1. Andrea Ravasio & Ibrahim Cheddadi & Tianchi Chen & Telmo Pereira & Hui Ting Ong & Cristina Bertocchi & Agusti Brugues & Antonio Jacinto & Alexandre J. Kabla & Yusuke Toyama & Xavier Trepat & Nir Gov &, 2015. "Gap geometry dictates epithelial closure efficiency," Nature Communications, Nature, vol. 6(1), pages 1-13, November.
    2. John Jumper & Richard Evans & Alexander Pritzel & Tim Green & Michael Figurnov & Olaf Ronneberger & Kathryn Tunyasuvunakool & Russ Bates & Augustin Žídek & Anna Potapenko & Alex Bridgland & Clemens Me, 2021. "Highly accurate protein structure prediction with AlphaFold," Nature, Nature, vol. 596(7873), pages 583-589, August.
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