Your browser doesn't support javascript.
loading
Mechanical stimulation and electrophysiological monitoring at subcellular resolution reveals differential mechanosensation of neurons within networks.
Kasuba, Krishna Chaitanya; Buccino, Alessio Paolo; Bartram, Julian; Gaub, Benjamin M; Fauser, Felix J; Ronchi, Silvia; Kumar, Sreedhar Saseendran; Geissler, Sydney; Nava, Michele M; Hierlemann, Andreas; Müller, Daniel J.
Afiliação
  • Kasuba KC; Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
  • Buccino AP; Allen Brain Institute, Seattle, WA, USA.
  • Bartram J; Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
  • Gaub BM; Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
  • Fauser FJ; Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
  • Ronchi S; Maxwell Biosystems, Zurich, Switzerland.
  • Kumar SS; Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
  • Geissler S; Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
  • Nava MM; Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
  • Hierlemann A; Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland. andreas.hierlemann@bsse.ethz.ch.
  • Müller DJ; Department of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland. daniel.mueller@bsse.ethz.ch.
Nat Nanotechnol ; 19(6): 825-833, 2024 Jun.
Article em En | MEDLINE | ID: mdl-38378885
ABSTRACT
A growing consensus that the brain is a mechanosensitive organ is driving the need for tools that mechanically stimulate and simultaneously record the electrophysiological response of neurons within neuronal networks. Here we introduce a synchronized combination of atomic force microscopy, high-density microelectrode array and fluorescence microscopy to monitor neuronal networks and to mechanically characterize and stimulate individual neurons at piconewton force sensitivity and nanometre precision while monitoring their electrophysiological activity at subcellular spatial and millisecond temporal resolution. No correlation is found between mechanical stiffness and electrophysiological activity of neuronal compartments. Furthermore, spontaneously active neurons show exceptional functional resilience to static mechanical compression of their soma. However, application of fast transient (∼500 ms) mechanical stimuli to the neuronal soma can evoke action potentials, which depend on the anchoring of neuronal membrane and actin cytoskeleton. Neurons show higher responsivity, including bursts of action potentials, to slower transient mechanical stimuli (∼60 s). Moreover, transient and repetitive application of the same compression modulates the neuronal firing rate. Seemingly, neuronal networks can differentiate and respond to specific characteristics of mechanical stimulation. Ultimately, the developed multiparametric tool opens the door to explore manifold nanomechanobiological responses of neuronal systems and new ways of mechanical control.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Animals Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Limite: Animals Idioma: En Ano de publicação: 2024 Tipo de documento: Article