Development of an Optical System for Strain Drop Measurement of Osteosarcoma Cells on Substrates with Different Stiffness.

Ludovica Apa, Maria Vittoria Martire, Serena Carraro, Marianna Cosentino, Zaccaria Del Prete, Barbara Peruzzi, Emanuele Rizzuto

Abstract read

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In one paragraph

Article in Sensors (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Ludovica ApaDepartment of Mechanical and Aerospace Engineering, Sapienza University of Rome, 00184 Rome, Italy.ORCID 0000-0002-4249-5596

Maria Vittoria MartireDepartment of Mechanical and Aerospace Engineering, Sapienza University of Rome, 00184 Rome, Italy.ORCID 0009-0009-1645-1205

Serena CarraroDepartment of Mechanical and Aerospace Engineering, Sapienza University of Rome, 00184 Rome, Italy.ORCID 0000-0002-4649-6238

Marianna CosentinoDAHFMO-Unit of Histology and Medical Embryology, Sapienza University of Rome, 00161 Rome, Italy.ORCID 0000-0002-8745-2469

Zaccaria Del PreteDepartment of Mechanical and Aerospace Engineering, Sapienza University of Rome, 00184 Rome, Italy.ORCID 0000-0001-6057-7774

Barbara PeruzziBone Physiopathology Research Unit, Bambino Gesù Children's Hospital, IRCCS, 00146 Rome, Italy.

Emanuele RizzutoDepartment of Mechanical and Aerospace Engineering, Sapienza University of Rome, 00184 Rome, Italy.ORCID 0000-0003-2314-6128

Funding

Italian Ministry of Health Current ResearchNational Recovery and Resilience Plan (NRRP), Mission 4 Component 2 Investment 1.5-Call for tender No. 3277 of 30 December 2021 of the Italian Ministry of University and Research funded by the European Union-NextGenerationEU, Project ECS 0000024 Rome Tech Rome TechnopoleSapienza University of Rome RM11916B792AEFF7

6 · The paper itself

Abstract

Adherent cells perceive mechanical feedback from the underlying matrix and convert it into biochemical signals through a process known as mechanotransduction. The response to changes in the microenvironment relies on the cell's mechanical properties, including elasticity, which was recently identified as a biomarker for various diseases. Here, we propose the design, development, and characterization of a new system for the measurement of adherent cells'

Indexed as

OsteosarcomaBone NeoplasmsCell AdhesionCell Line, TumorCollagenElasticityExtracellular MatrixHumansMechanotransduction, CellularOsteoblastsStress, MechanicalCollagenbiomechanicscell elasticitynovel measurement systemosteosarcomasilicone stretchable chambersstiffnessstrain dropstrain measurements

Identifiers

PMID38894171

DOI10.3390/s24113383

PMCPMC11175146

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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.