Evidence map›Paper›PMID 38351427›Full record

ArticleBiomechanics and modeling in mechanobiology2024

Discrete network models of endothelial cells and their interactions with the substrate.

Raphael Jakob, Ben R Britt, Costanza Giampietro, Edoardo Mazza, Alexander E Ehret

Open access · hybridAbstract read
In one paragraph

Article in Biomechanics and modeling in mechanobiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
1.6field-weighted citation impact, top 20% 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

0 citing papers in PubMed, 5 citations in OpenAlex.

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

5 authors at 1 institution in 1 country.

Raphael JakobInstitute for Mechanical Systems, ETH Zurich, CH-8092, Zürich, Switzerland.ORCID http://orcid.org/0009-0008-7967-5604
Ben R BrittInstitute for Mechanical Systems, ETH Zurich, CH-8092, Zürich, Switzerland.ORCID http://orcid.org/0000-0001-5867-3038
Costanza GiampietroInstitute for Mechanical Systems, ETH Zurich, CH-8092, Zürich, Switzerland.ORCID http://orcid.org/0000-0001-5229-3835
Edoardo MazzaInstitute for Mechanical Systems, ETH Zurich, CH-8092, Zürich, Switzerland.ORCID http://orcid.org/0000-0001-9427-4157
Alexander E EhretInstitute for Mechanical Systems, ETH Zurich, CH-8092, Zürich, Switzerland. alexander.ehret@empa.ch.ORCID http://orcid.org/0000-0002-8740-8900
ETH Zurich · CH

Funding

Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung 182014
6 · The paper itself

Abstract

Endothelial cell monolayers line the inner surfaces of blood and lymphatic vessels. They are continuously exposed to different mechanical loads, which may trigger mechanobiological signals and hence play a role in both physiological and pathological processes. Computer-based mechanical models of cells contribute to a better understanding of the relation between cell-scale loads and cues and the mechanical state of the hosting tissue. However, the confluency of the endothelial monolayer complicates these approaches since the intercellular cross-talk needs to be accounted for in addition to the cytoskeletal mechanics of the individual cells themselves. As a consequence, the computational approach must be able to efficiently model a large number of cells and their interaction. Here, we simulate cytoskeletal mechanics by means of molecular dynamics software, generally suitable to deal with large, locally interacting systems. Methods were developed to generate models of single cells and large monolayers with hundreds of cells. The single-cell model was considered for a comparison with experimental data. To this end, we simulated cell interactions with a continuous, deformable substrate, and computationally replicated multistep traction force microscopy experiments on endothelial cells. The results indicate that cell discrete network models are able to capture relevant features of the mechanical behaviour and are thus well-suited to investigate the mechanics of the large cytoskeletal network of individual cells and cell monolayers.

Indexed as

Endothelial CellsModels, BiologicalBiomechanical PhenomenaCell CommunicationComputer SimulationCytoskeletonHumansStress, MechanicalCytoskeletonEndothelial monolayersFinite element modelLAMMPSRandom networksTraction force microscopy

Identifiers

PMID38351427
PMCPMC11101350
OpenAlexW4391819372

What OpenQuestion 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 OpenQuestion graph.