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Deciphering Mechanochemical Influences of Emergent Actomyosin Crosstalk using QCM-D.

Emily M KerivanVictoria N AmariWilliam B WeeksLeigh H HardinLyle TobinOmayma Y Al AzzamDana N Reinemann
Published in: bioRxiv : the preprint server for biology (2024)
Cytoskeletal ensembles exhibit mechanics that are not necessarily the sum of the components' single molecule properties, and this emergent behavior is not well understood. Cytoskeletal filaments may also act as force sensors that influence constituent motor protein behavior. To understand the elusive design principles of such emergent mechanics, we innovated an approach using QCM-D to measure how actomyosin bundles sense and respond mechanically to environmental variables. We demonstrate for the first time that QCM-D can detect changes in actomyosin viscoelasticity due to molecular-level alterations, thus providing evidence for actin's role as a mechanical force-feedback sensor and a new approach for deciphering the fundamentals of emergent cytoskeletal ensemble crosstalk.
Keyphrases
  • single molecule
  • atomic force microscopy
  • living cells
  • protein protein
  • machine learning
  • amino acid
  • cell migration