Evidence map›Paper›PMID 16844756›Full record

ArticleBiophysical journal2006

Measurement of changes in membrane surface morphology associated with exocytosis using scanning ion conductance microscopy.

Wonchul Shin, Kevin D Gillis

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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 25% 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

8 citing papers in PubMed, 29 citations in OpenAlex.

  1. Scanning Ion Conductance Microscopy.Chemical reviews · 2021
    Review
  2. Article
  3. Review
  4. Review
  5. Multifunctional scanning ion conductance microscopy.Proceedings. Mathematical, physical, and engineering sciences · 2017
    Review
  6. Review
  7. Article
  8. 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

2 authors at 1 institution in 1 country.

Wonchul ShinDepartment of Biological Engineering, Dalton Cardiovascular Research Center, University of Missouri-Columbia, Columbia, MO 65211, USA.
Kevin D Gillis
University of Missouri · US

Funding

Microchip devices to assay quantal exocytosisR01NS048826 · NINDS · UNIVERSITY OF MISSOURI-COLUMBIA · PI GILLIS, KEVIN D · 2004 to 2009
$2.8M
CA SENSING FOR EXOCYTOSISR01NS040453 · NINDS · UNIVERSITY OF MISSOURI-COLUMBIA · PI GILLIS, KEVIN D · 2000 to 2003
$824k
NINDS NIH HHS NS 048826NINDS NIH HHS NS 40453NINDS NIH HHS R01 NS048826
6 · The paper itself

Abstract

The extent that vesicles maintain a distinct identity and morphology after fusing with the plasma membrane is controversial. We used scanning ion conductance microscopy to image changes in the surface membrane of adrenal chromaffin cells after stimulation of exocytosis with a high K(+) solution. Within several minutes after stimulation, punctate depressions, 100-600 nm wide, were noted from 16% of the cells. The depressions were not randomly distributed, but appeared in clusters of two or more within a approximately 1 microm(2) area and disappeared after several minutes. Increases in membrane surface area, consistent with the fusion and collapse of one or more vesicles into the surface membrane, were observed in 64% of the cells after high K(+) stimulation. Surface area increases did not occur if the high K(+) solution did not contain Ca(2+). We conclude that scanning ion conductance microscopy can be used to follow the time course of surface membrane changes resulting from exocytosis and endocytosis.

Indexed as

AnimalsCalciumCattleCell MembraneChromaffin CellsExocytosisIn Vitro TechniquesMembrane FusionMicroscopyPotassiumSecretory VesiclesCalciumPotassium

Identifiers

PMID16844756
PMCPMC1557558
OpenAlexW2091422455

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.