ArticleScientific reports2017
Determining the biomechanics of touch sensation in C. elegans.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 17 citations in OpenAlex.
- Drop-Shaped Optical Microfiber Enabled Biomechanical Sensor.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- The influence of internal pressure and neuromuscular agents onFrontiers in bioengineering and biotechnology · 2024Article
- Lightsheet optical tweezer (LOT) for optical manipulation of microscopic particles and live cells.Scientific reports · 2022Article
- Novel elasticity measurements reveal C. elegans cuticle stiffens with age and in a long-lived mutant.Biophysical journal · 2022Article
- 3D mechanical characterization of single cells and small organisms using acoustic manipulation and force microscopy.Nature communications · 2021Article
- Mechanical properties measured by atomic force microscopy define health biomarkers in ageing C. elegans.Nature communications · 2020Article
- Progressive recruitment of distal MEC-4 channels determines touch response strength inThe Journal of general physiology · 2019Article
- Article
- HowGenetics · 2019Review
- The tactile receptive fields of freely moving Caenorhabditis elegans nematodes.Integrative biology : quantitative biosciences from nano to macro · 2018Article
Corrections and comments
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Authors and funding
6 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The sense of touch is a fundamental mechanism that nearly all organisms use to interact with their surroundings. However, the process of mechanotransduction whereby a mechanical stimulus gives rise to a neuronal response is not well understood. In this paper we present an investigation of the biomechanics of touch using the model organism C. elegans. By developing a custom micromanipulation and force sensing system around a high resolution optical microscope, we measured the spatial deformation of the organism's cuticle and force response to controlled uniaxial indentations. We combined these experimental results with anatomical data to create a multilayer computational biomechanical model of the organism and accurately derive its material properties such as the elastic modulus and poisson's ratio. We demonstrate the utility of this model by combining it with previously published electrophysiological data to provide quantitative insights into different biomechanical states for mechanotransduction, including the first estimate of the sensitivity of an individual mechanoreceptor to an applied stimulus (parameterised as strain energy density). We also interpret empirical behavioural data to estimate the minimum number of mechanoreceptors which must be activated to elicit a behavioural response.
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Registered trials
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.