Single microtubules and small networks become significantly stiffer on short time-scales upon mechanical stimulation

Abstract The transfer of mechanical signals through cells is a complex phenomenon. To uncover a new mechanotransduction pathway, we study the frequency-dependent transport of mechanical stimuli by single microtubules and small networks in a bottom-up approach using optically trapped beads as anchor...

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Main Authors: Matthias D. Koch, Natalie Schneider, Peter Nick, Alexander Rohrbach
Format: Article
Language:English
Published: Nature Publishing Group 2017-06-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-017-04415-z
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spelling doaj-6ff609a09ce4425dbf1fc912d19d258a2020-12-08T00:34:51ZengNature Publishing GroupScientific Reports2045-23222017-06-017111510.1038/s41598-017-04415-zSingle microtubules and small networks become significantly stiffer on short time-scales upon mechanical stimulationMatthias D. Koch0Natalie Schneider1Peter Nick2Alexander Rohrbach3Laboratory for Bio- and Nano-Photonics, Department of Microsystems Engineering, University of FreiburgMolecular Cell Biology, Botanical Institute, Karlsruhe Institute of TechnologyMolecular Cell Biology, Botanical Institute, Karlsruhe Institute of TechnologyLaboratory for Bio- and Nano-Photonics, Department of Microsystems Engineering, University of FreiburgAbstract The transfer of mechanical signals through cells is a complex phenomenon. To uncover a new mechanotransduction pathway, we study the frequency-dependent transport of mechanical stimuli by single microtubules and small networks in a bottom-up approach using optically trapped beads as anchor points. We interconnected microtubules to linear and triangular geometries to perform micro-rheology by defined oscillations of the beads relative to each other. We found a substantial stiffening of single filaments above a characteristic transition frequency of 1–30 Hz depending on the filament’s molecular composition. Below this frequency, filament elasticity only depends on its contour and persistence length. Interestingly, this elastic behavior is transferable to small networks, where we found the surprising effect that linear two filament connections act as transistor-like, angle dependent momentum filters, whereas triangular networks act as stabilizing elements. These observations implicate that cells can tune mechanical signals by temporal and spatial filtering stronger and more flexibly than expected.https://doi.org/10.1038/s41598-017-04415-z
collection DOAJ
language English
format Article
sources DOAJ
author Matthias D. Koch
Natalie Schneider
Peter Nick
Alexander Rohrbach
spellingShingle Matthias D. Koch
Natalie Schneider
Peter Nick
Alexander Rohrbach
Single microtubules and small networks become significantly stiffer on short time-scales upon mechanical stimulation
Scientific Reports
author_facet Matthias D. Koch
Natalie Schneider
Peter Nick
Alexander Rohrbach
author_sort Matthias D. Koch
title Single microtubules and small networks become significantly stiffer on short time-scales upon mechanical stimulation
title_short Single microtubules and small networks become significantly stiffer on short time-scales upon mechanical stimulation
title_full Single microtubules and small networks become significantly stiffer on short time-scales upon mechanical stimulation
title_fullStr Single microtubules and small networks become significantly stiffer on short time-scales upon mechanical stimulation
title_full_unstemmed Single microtubules and small networks become significantly stiffer on short time-scales upon mechanical stimulation
title_sort single microtubules and small networks become significantly stiffer on short time-scales upon mechanical stimulation
publisher Nature Publishing Group
series Scientific Reports
issn 2045-2322
publishDate 2017-06-01
description Abstract The transfer of mechanical signals through cells is a complex phenomenon. To uncover a new mechanotransduction pathway, we study the frequency-dependent transport of mechanical stimuli by single microtubules and small networks in a bottom-up approach using optically trapped beads as anchor points. We interconnected microtubules to linear and triangular geometries to perform micro-rheology by defined oscillations of the beads relative to each other. We found a substantial stiffening of single filaments above a characteristic transition frequency of 1–30 Hz depending on the filament’s molecular composition. Below this frequency, filament elasticity only depends on its contour and persistence length. Interestingly, this elastic behavior is transferable to small networks, where we found the surprising effect that linear two filament connections act as transistor-like, angle dependent momentum filters, whereas triangular networks act as stabilizing elements. These observations implicate that cells can tune mechanical signals by temporal and spatial filtering stronger and more flexibly than expected.
url https://doi.org/10.1038/s41598-017-04415-z
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AT peternick singlemicrotubulesandsmallnetworksbecomesignificantlystifferonshorttimescalesuponmechanicalstimulation
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