Evidence map›Paper›PMID 17981895›Full record

ArticleBiophysical journal2008

Toward physiological conditions for cell analyses: forces of heart muscle cells suspended between elastic micropillars.

A Kajzar, C M Cesa, N Kirchgessner, B Hoffmann, R Merkel

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
1.5field-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

22 citing papers in PubMed, 70 citations in OpenAlex.

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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

5 authors at 2 institutions in 2 countries.

A KajzarInstitute of Bio- and Nanosystems 4: Biomechanics, Research Centre Jülich GmbH, 52425 Jülich, Germany.
C M Cesa
N Kirchgessner
B Hoffmann
R Merkel
Forschungszentrum Jülich · DEInstitute of Physics · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Almost each mammalian cell permanently applies forces to its environment. These forces are essential for many vital processes such as tissue formation or cell movement. In turn, the environmental conditions of cells strongly affect force production. Here we report on the development of an array of elastomeric micropillars as cellular environment. Within these micropillar arrays, we cultivated rat heart muscle cells (cardiac myocytes). For lattice constants between 20 and 30 mum, cells strongly preferred spanning between the elastic micropillars over adhering to the underlying flat substrate. In addition, the architectures of the cytoskeleton and of protein complexes formed for adhesion were strongly dependent on the environment of the cell. On flat parts of the substrates, we observed prominent stress fibers and focal adhesion sites. In contrast, cells suspended between micropillars exhibited well organized myofibers and costameric adhesions at the locations of Z-bands. These observations argue for close-to-nature environmental conditions within micropillar arrays. Resting as well as contraction forces of myocytes resulted in measurable pillar bending. Using an approximate theoretical treatment of elastically founded micropillars, we calculated average cell forces of 140 nN in the relaxed and 400 nN in the contracted state.

Indexed as

AlgorithmsCell Physiological PhenomenaTissue EngineeringAdherens JunctionsAnimalsCell AdhesionCell MembraneCell MovementCells, CulturedCytoskeletonElastomersMicroscopy, FluorescenceMicroscopy, ImmunoelectronMuscle ProteinsMyocytes, CardiacRatsElastomersMuscle Proteins

Identifiers

PMID17981895
PMCPMC2242761
OpenAlexW2032516787

What OpenQuestion holds

Textmetadata
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.