Evidence map›Paper›PMID 16399830›Full record

ArticleBiophysical journal2006

The extracellular electrical resistivity in cell adhesion.

Raimund Gleixner, Peter Fromherz

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.1field-weighted citation impact, top 14% 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

16 citing papers in PubMed, 65 citations in OpenAlex.

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  14. Transmission electron microscopy study of the cell-sensor interface.Journal of the Royal Society, Interface · 2008
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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

2 authors at 1 institution in 1 country.

Raimund GleixnerDepartment of Membrane and Neurophysics, Max Planck Institute for Biochemistry, Martinsried/Munich, Germany.
Peter Fromherz
Max Planck Society · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The interaction of cells in a tissue depends on the nature of the extracellular matrix. The electrical properties of the narrow extracellular space are unknown. Here we consider cell adhesion mediated by extracellular matrix protein on a solid substrate as a model system. We culture human embryonic kidney (HEK293) cells on silica coated with fibronectin and determine the electrical resistivity in the cell-solid junction rhoJ=rJdJ by combining measurements of the sheet resistance rJ and of the distance dJ between membrane and substrate. The sheet resistance is obtained from phase fluorometry of the voltage-sensitive dye ANNINE-5 by alternating-current stimulation from the substrate. The distance is measured by fluorescence interference contrast microscopy. We change the resistivity of the bath in a range from 66 Omega cm to 750 Omega cm and find that the sheet resistance rJ is proportionally enhanced, but that the distance is invariant around dJ=75 nm. In all cases, the resulting resistivity rhoJ is indistinguishable from the resistivity of the bath. A similar result is obtained for rat neurons cultured on polylysine. On that basis, we propose a "bulk resistivity in cell adhesion" model for cell-solid junctions. The observations suggest that the electrical interaction between cells in a tissue is determined by an extracellular space with the electrical properties of bulk electrolyte.

Indexed as

AnimalsCell AdhesionCell CommunicationCell LineCell MembraneCytoplasmElectric ConductivityElectric ImpedanceElectrochemistryElectrolytesElectrophysiologyExtracellular MatrixExtracellular SpaceFibronectinsFourier AnalysisHumansElectrolytesFibronectinsPolylysineSilicon

Identifiers

PMID16399830
PMCPMC1403179
OpenAlexW2007765399

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.