Evidence map›Paper›PMID 19353361›Full record

ArticleBiotechnic & histochemistry : official publication of the Biological Stain Commission2009

Using quantum dots to visualize clathrin associations.

Y Ogunkoya, B M Nickel, V L Gay, S A Murray

Open access · greenAbstract read
In one paragraph

Article in Biotechnic & histochemistry : official publication of the Biological Stain Commission, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 48% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. 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

4 authors at 2 institutions in 1 country.

Y OgunkoyaDepartment of Biological Sciences, College of Sciences, Southern University and A & M College, Baton Rouge, Louisiana, USA.
B M Nickel
V L Gay
S A Murray
University of Pittsburgh · USSouthern University and Agricultural and Mechanical College · US

Funding

CONFERENCE AND RESEARCH OPPORTUNITIES IN CELL BIOLOGYT36GM008622 · NIGMS · AMERICAN SOCIETY FOR CELL BIOLOGY · PI ZAVALA, MARIAELENA B · 1996 to 2014
$6.4M
NIGMS NIH HHS 5 T36 GM008622-12SNIGMS NIH HHS T36 GM008622
6 · The paper itself

Abstract

Our current understanding of clathrin-mediated endocytosis proposes that the process is initiated at a specialized anatomical structure called a coated pit. Electron microscopy has been required for elucidation of the morphology of coated pits and the vesicles produced therein, and the presence of a bristle coat has been taken as suggestive of clathrin surrounding these vesicles. More recently, immunocytochemical methods have confirmed that endocytic vesicles are surrounded by clathrin and its adaptor proteins, but there is a need to identify precisely and to follow the fate of the cellular organelles seen by fluorescence microscopy. We used quantum immune-electron microscopy to localize clathrin in a human adrenal cortical cell line (SW-13). Clathrin was shown to associate with a variety of vesicle types including the classic clathrin-coated vesicles and pits used in receptor internalization, pentilaminar annular gap junction vesicles, and multivesicular bodies. The images obtained with quantum dot technology allow accurate and specific localization of clathrin and the clathrin adaptor protein, AP-2, with cellular organelles and suggest that some of the structures classified as typical coated vesicles by immunocytochemical light microscopic techniques actually may be membrane bound pits.

Indexed as

Quantum DotsClathrinClathrin-Coated VesiclesImage EnhancementMicroscopy, FluorescenceClathrin

Identifiers

PMID19353361
PMCPMC10016384
OpenAlexW2031135613

What OpenQuestion holds

Textmetadata
LicenceTDM
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.