Evidence map›Paper›PMID 35957122›Full record

ArticleNanomaterials (Basel, Switzerland)2022

Cellular Mechanosensitivity: Validation of an Adaptable 3D-Printed Device for Microindentation.

Giulio Capponi, Martina Zambito, Igor Neri, Francesco Cottone, Maurizio Mattarelli, Massimo Vassalli, Silvia Caponi, Tullio Florio

Open access · goldAbstract read
In one paragraph

Article in Nanomaterials (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 42% of its field
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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
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

8 authors at 4 institutions in 2 countries.

Giulio CapponiDipartimento di Fisica e Geologia, Università di Perugia, 06100 Perugia, Italy.ORCID 0000-0003-1491-9483
Martina ZambitoSezione di Farmacologia, Dipartimento di Medicina Interna, Università di Genova, 16132 Genova, Italy.
Igor NeriDipartimento di Fisica e Geologia, Università di Perugia, 06100 Perugia, Italy.ORCID 0000-0002-9047-9822
Francesco CottoneDipartimento di Fisica e Geologia, Università di Perugia, 06100 Perugia, Italy.ORCID 0000-0003-4920-5907
Maurizio MattarelliDipartimento di Fisica e Geologia, Università di Perugia, 06100 Perugia, Italy.ORCID 0000-0001-9184-7968
Massimo VassalliJames Watt School of Engineering, University of Glasgow, Glasgow G12 8LT, UK.ORCID 0000-0002-3063-4376
Silvia CaponiIstituto Officina dei Materiali, Italian National Research Council (IOM-CNR), Unit of Perugia, c/o Department of Physics and Geology, University of Perugia, Via A. Pascoli, 06123 Perugia, Italy.ORCID 0000-0002-4219-3256
Tullio FlorioSezione di Farmacologia, Dipartimento di Medicina Interna, Università di Genova, 16132 Genova, Italy.ORCID 0000-0002-2394-996X
University of Perugia · ITOspedale Policlinico San Martino · ITUniversity of Genoa · ITUniversity of Glasgow · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mechanotransduction refers to the cellular ability to sense mechanical stimuli from the surrounding environment and convert them into biochemical signals that regulate cellular physiology and homeostasis. Mechanosensitive ion channels (MSCs), especially ones of Piezo family (Piezo1 and Piezo2), play a crucial role in mechanotransduction. These transmembrane proteins directly react to mechanical cues by triggering the onset of an ionic current. The relevance of this mechanism in driving physiology and pathology is emerging, and there is a growing need for the identification of an affordable and reliable assay to measure it. Setting up a mechanosensitivity assay requires exerting a mechanical stimulus on single cells while observing the downstream effects of channels opening. We propose an open-hardware approach to stimulate single adherent cells through controlled microindentation, using a 3D-printed actuation platform. We validated the device by measuring the mechanosensitivity of a neural mice cell line where the expression level and activity of Piezo1 were genetically and pharmacologically manipulated. Moreover, this extremely versatile device could be integrated with different read-out technologies, offering a new tool to improve the understanding of mechanotransduction in living cells.

Indexed as

3D printingmechanobiologymechanosensitivitymechanotransductionpiezo1

Identifiers

PMID35957122
PMCPMC9370482
OpenAlexW4292451714

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 Socratic graph.