Evidence map›Paper›PMID 38236539›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

In Vivo Wound Healing Model for Characterization of Gene Electrotransfer Effects in Mouse Skin.

Špela Kos, Tanja Jesenko, Tanja Blagus

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. 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
3.5field-weighted citation impact, top 12% 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, 2 citations in OpenAlex.

  1. Review
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

3 authors at 2 institutions in 1 country.

Špela KosDepartment of Experimental Oncology, Institute of Oncology Ljubljana, Ljubljana, Slovenia.
Tanja JesenkoDepartment of Experimental Oncology, Institute of Oncology Ljubljana, Ljubljana, Slovenia.
Tanja BlagusDepartment of Experimental Oncology, Institute of Oncology Ljubljana, Ljubljana, Slovenia. tanja.blagus@mf.uni-lj.si.
University of Ljubljana · SIInstitute of Oncology Ljubljana · SI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wound healing is a complex biological response to injury characterized by a sequence of interdependent and overlapping physiological actions. To study wound healing and cutaneous regeneration processes, the complexity of wound healing requires the use of animal models. In this chapter, we describe the protocol to generate skin wounds in a mouse model. In the mouse splinted excisional wound model, two full-thickness wounds are firstly created on the mouse dorsum, which is followed by application of silicone splint around wounded area. A splinting ring tightly adheres to the skin around full-thickness wound, preventing wound contraction and replicating human processes of re-epithelialization and new tissue formation. The wound is easily accessible for treatment as well as for daily monitoring and quantifying the wound closure.This technique represents valuable approach for the study of wound healing mechanisms and for evaluation of new therapeutic modalities. In this protocol, we describe how to utilize the model to study the effect of gene electrotransfer of plasmid DNA coding for antiangiogenic molecules. Additionally, we also present how to precisely regulate electrical parameters and modify electrode composition to reach optimal therapeutic effectiveness of gene electrotransfer into skin around wounded area.

Indexed as

SkinWound HealingAnimalsDisease Models, AnimalElectricityHumansMiceRe-EpithelializationAntiangiogenic moleculesFull-thickness woundGene electrotransferMouse modelPlasmid DNASkinSplint

Identifiers

PMID38236539
OpenAlexW4390988217

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.