Evidence map›Paper›PMID 7919007›Full record

ArticleBiophysical journal1994

Imaging of the membrane surface of MDCK cells by atomic force microscopy.

C Le Grimellec, E Lesniewska, C Cachia, J P Schreiber, F de Fornel, J P Goudonnet

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 1994. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.8field-weighted citation impact, top 6% 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

11 citing papers in PubMed, 87 citations in OpenAlex.

  1. Article
  2. Review
  3. [Topography and mechanical property of goat temporomandibular joint disc cells].Hua xi kou qiang yi xue za zhi = Huaxi kouqiang yixue zazhi = West China journal of stomatology · 2015
    Article
  4. Article
  5. Article
  6. Imaging CFTR in its native environment.Pflugers Archiv : European journal of physiology · 2008
    Review
  7. New EPR method for cellular surface characterization.The Journal of membrane biology · 2003
    Article
  8. Article
  9. Article
  10. Article
  11. Article
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

6 authors at 3 institutions in 1 country.

C Le GrimellecInstitut National de la Santé et de la Recherche Médicale U251, Faculté de Médecine Xavier-Bichat, Paris, France.
E Lesniewska
C Cachia
J P Schreiber
F de Fornel
J P Goudonnet
Centre National de la Recherche Scientifique · FRUniversité de Bourgogne · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The membrane surface of polarized renal epithelial cells (MDCK cells) grown as a monolayer was imaged with the atomic force microscope. The surface topography of dried cells determined by this approach was consistent with electron microscopy images previously reported. Fixed and living cells in aqueous medium gave more fuzzy images, likely because of the presence of the cell glycocalix. Treatment of living cells with neuraminidase, an enzyme that partly degrades the glycocalix, allowed sub-micrometer imaging. Protruding particles, 10 to 60 nm xy size, occupy most of the membrane surface. Protease treatment markedly reduced the size of these particles, indicating that they corresponded to proteins. Tip structure effects were probably involved in the exaggerated size of imaged membrane proteins. Although further improvements in the imaging conditions, including tip sharpness, are required, atomic force microscope already offers the unique possibility to image proteins at the membrane surface of living cells.

Indexed as

AnimalsCell LineCell MembraneDogsEpitheliumKidneyMicroscopy, Atomic Force

Identifiers

PMID7919007
PMCPMC1225332
OpenAlexW1982840398

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.