Evidence map›Paper›PMID 15695631›Full record

ArticleBiophysical journal2005

High-resolution near-field optical imaging of single nuclear pore complexes under physiological conditions.

C Höppener, J P Siebrasse, R Peters, U Kubitscheck, A Naber

Abstract read
In one paragraph

Article in Biophysical journal, 2005. 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
–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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. A guide to super-resolution fluorescence microscopy.The Journal of cell biology · 2010
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  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

5 authors.

C HöppenerInstitut für Angewandte Physik, Universität Karlsruhe, Karlsruhe, Germany.
J P Siebrasse
R Peters
U Kubitscheck
A Naber

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Scanning near-field optical microscopy (SNOM) circumvents the diffraction limit of conventional light microscopy and is able to achieve optical resolutions substantially below 100 nm. However, in the field of cell biology SNOM has been rarely applied, probably because previous techniques for sample-distance control are less sensitive in liquid than in air. Recently we developed a distance control based on a tuning fork in tapping mode, which is also well-suited for imaging in solution. Here we show that this approach can be used to visualize single membrane protein complexes kept in physiological media throughout. Nuclear envelopes were isolated from Xenopus laevis oocytes at conditions shown recently to conserve the transport functions of the nuclear pore complex (NPC). Isolated nuclear envelopes were fluorescently labeled by antibodies against specific proteins of the NPC (NUP153 and p62) and imaged at a resolution of approximately 60 nm. The lateral distribution of epitopes within the supramolecular NPC could be inferred from an analysis of the intensity distribution of the fluorescence spots. The different number densities of p62- and NUP153-labeled NPCs are determined and discussed. Thus we show that SNOM opens up new possibilities for directly visualizing the transport of single particles through single NPCs and other transporters.

Indexed as

AnimalsBinding SitesBiological TransportBiophysicsCell NucleusCytoplasmEpitopesGreen Fluorescent ProteinsMembrane GlycoproteinsMicroscopy, FluorescenceNormal DistributionNuclear EnvelopeNuclear PoreNuclear Pore Complex ProteinsOocytesXenopus laevisEpitopesGreen Fluorescent ProteinsMembrane GlycoproteinsNuclear Pore Complex Proteinsnuclear pore protein p62

Identifiers

PMID15695631
PMCPMC1305514

What OpenQuestion holds

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Registered trials

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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.