Evidence map›Paper›PMID 38378885›Full record

ArticleNature nanotechnology2024

Mechanical stimulation and electrophysiological monitoring at subcellular resolution reveals differential mechanosensation of neurons within networks.

Krishna Chaitanya Kasuba, Alessio Paolo Buccino, Julian Bartram, Benjamin M Gaub, Felix J Fauser, Silvia Ronchi, Sreedhar Saseendran Kumar, Sydney Geissler, Michele M Nava, Andreas Hierlemann and 1 more

Abstract read
In one paragraph

Article in Nature nanotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

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  16. Observation of Brownian elastohydrodynamic forces acting on confined soft colloids.Proceedings of the National Academy of Sciences of the United States of America · 2024
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Krishna Chaitanya KasubaDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Alessio Paolo BuccinoAllen Brain Institute, Seattle, WA, USA.ORCID http://orcid.org/0000-0003-3661-527X
Julian BartramDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.ORCID http://orcid.org/0000-0001-7513-1716
Benjamin M GaubDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Felix J FauserDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Silvia RonchiMaxwell Biosystems, Zurich, Switzerland.
Sreedhar Saseendran KumarDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.ORCID http://orcid.org/0000-0002-5272-6474
Sydney GeisslerDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Michele M NavaDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.ORCID http://orcid.org/0000-0001-8733-6364
Andreas HierlemannDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland. andreas.hierlemann@bsse.ethz.ch.ORCID http://orcid.org/0000-0002-3838-2468
Daniel J MüllerDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland. daniel.mueller@bsse.ethz.ch.ORCID http://orcid.org/0000-0003-3075-0665

Funding

EC | EC Seventh Framework Programm | FP7 Ideas: European Research Council (FP7-IDEAS-ERC - Specific Programme: "Ideas" Implementing the Seventh Framework Programme of the European Community for Research, Technological Development and Demonstration Activities (2007 to 2013)) 694829Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (Swiss National Science Foundation) 51NF40-205608
6 · The paper itself

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.

Indexed as

Action PotentialsNeuronsAnimalsElectrophysiological PhenomenaMechanotransduction, CellularMicroelectrodesMicroscopy, Atomic ForceMicroscopy, FluorescenceNerve NetRats

Identifiers

PMID38378885
PMCPMC11186759

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.