Evidence map›Paper›PMID 27911414›Full record

ArticleJournal of visualized experiments : JoVE2016

Isolation and Culture of Primary Endothelial Cells from Canine Arteries and Veins.

Loes A Oosterhoff, Hedwig S Kruitwagen, Bart Spee, Frank G van Steenbeek

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In one paragraph

Article in Journal of visualized experiments : JoVE, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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.

Loes A OosterhoffDepartment of Clinical Sciences of Companion Animals, Faculty of Veterinary Medicine, Utrecht University; L.A.Oosterhoff@uu.nl.
Hedwig S KruitwagenDepartment of Clinical Sciences of Companion Animals, Faculty of Veterinary Medicine, Utrecht University.
Bart SpeeDepartment of Clinical Sciences of Companion Animals, Faculty of Veterinary Medicine, Utrecht University.
Frank G van SteenbeekDepartment of Clinical Sciences of Companion Animals, Faculty of Veterinary Medicine, Utrecht University.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular disease is studied in both human and veterinary medicine. Endothelial cells have been used extensively as an in vitro model to study vasculogenesis, (tumor) angiogenesis, and atherosclerosis. The current standard for in vitro research on human endothelial cells (ECs) is the use of Human Umbilical Vein Endothelial Cells (HUVECs) and Human Umbilical Artery Endothelial Cells (HUAECs). For canine endothelial research, only one cell line (CnAOEC) is available, which is derived from canine aortic endothelium. Although currently not completely understood, there is a difference between ECs originating from either arteries or veins. For a more direct approach to in vitro functionality studies on ECs, we describe a new method for isolating Canine Primary Endothelial Cells (CaPECs) from a variety of vessels. This technique reduces the chance of contamination with fast-growing cells such as fibroblasts and smooth muscle cells, a problem that is common in standard isolation methods such as flushing the vessel with enzymatic solutions or mincing the vessel prior to digestion of the tissue containing all cells. The technique we describe was optimized for the canine model, but can easily be utilized in other species such as human.

Indexed as

Endothelium, VascularPrimary Cell CultureAnimalsCells, CulturedCell SeparationDogsMyocytes, Smooth MuscleUmbilical ArteriesUmbilical Veins

Identifiers

PMID27911414
PMCPMC5226248

What OpenQuestion holds

Textmetadata
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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.