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Spatio-temporal patterning of extensile active stresses in microtubule-based active fluids.
Lemma, Linnea M; Varghese, Minu; Ross, Tyler D; Thomson, Matt; Baskaran, Aparna; Dogic, Zvonimir.
Afiliación
  • Lemma LM; Department of Physics, Brandeis University, 415 South St., Waltham, 02453 MA, USA.
  • Varghese M; Department of Physics, University of California, Santa Barbara, 93106 CA, USA.
  • Ross TD; Department of Physics, Brandeis University, 415 South St., Waltham, 02453 MA, USA.
  • Thomson M; Department of Computing and Mathematical Sciences, California Institute of Technology, 1200 E California Blvd. Pasadena, 91125 CA, USA.
  • Baskaran A; Division of Biology and Biological Engineering, California Institute of Technology, 1200 E California Blvd., Pasadena, 91125 CA, USA.
  • Dogic Z; Department of Physics, Brandeis University, 415 South St., Waltham, 02453 MA, USA.
PNAS Nexus ; 2(5): pgad130, 2023 May.
Article en En | MEDLINE | ID: mdl-37168671
ABSTRACT
Microtubule-based active fluids exhibit turbulent-like autonomous flows, which are driven by the molecular motor powered motion of filamentous constituents. Controlling active stresses in space and time is an essential prerequisite for controlling the intrinsically chaotic dynamics of extensile active fluids. We design single-headed kinesin molecular motors that exhibit optically enhanced clustering and thus enable precise and repeatable spatial and temporal control of extensile active stresses. Such motors enable rapid, reversible switching between flowing and quiescent states. In turn, spatio-temporal patterning of the active stress controls the evolution of the ubiquitous bend instability of extensile active fluids and determines its critical length dependence. Combining optically controlled clusters with conventional kinesin motors enables one-time switching from contractile to extensile active stresses. These results open a path towards real-time control of the autonomous flows generated by active fluids.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: PNAS Nexus Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: PNAS Nexus Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos