Evidence map›Paper›PMID 38184741›Full record

ArticleScientific reports2024

Genetically engineered HEK cells as a valuable tool for studying electroporation in excitable cells.

Tina Batista Napotnik, Bor Kos, Tomaž Jarm, Damijan Miklavčič, Rodney P O'Connor, Lea Rems

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
6.6field-weighted citation impact, top 3% 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

9 citing papers in PubMed, 17 citations in OpenAlex.

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  9. State-of-the-art pulsed field ablation for cardiac arrhythmias: ongoing evolution and future perspective.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2024
    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

6 authors at 2 institutions in 2 countries.

Tina Batista NapotnikUniversity of Ljubljana, Faculty of Electrical Engineering, Tržaška Cesta 25, 1000, Ljubljana, Slovenia.
Bor KosUniversity of Ljubljana, Faculty of Electrical Engineering, Tržaška Cesta 25, 1000, Ljubljana, Slovenia.
Tomaž JarmUniversity of Ljubljana, Faculty of Electrical Engineering, Tržaška Cesta 25, 1000, Ljubljana, Slovenia.
Damijan MiklavčičUniversity of Ljubljana, Faculty of Electrical Engineering, Tržaška Cesta 25, 1000, Ljubljana, Slovenia.
Rodney P O'ConnorÉcole des Mines de Saint-Étienne, Department of Bioelectronics, Georges Charpak Campus, Centre Microélectronique de Provence, 880 Route de Mimet, 13120, Gardanne, France.
Lea RemsUniversity of Ljubljana, Faculty of Electrical Engineering, Tržaška Cesta 25, 1000, Ljubljana, Slovenia. lea.rems@fe.uni-lj.si.
University of Ljubljana · SIMines Saint-Étienne · FR

Funding

Horizon 2020 Framework Programme Marie Skłodowska-Curie grant agreement No. 893077Javna Agencija za Raziskovalno Dejavnost RS P2-0249
6 · The paper itself

Abstract

Electric pulses used in electroporation-based treatments have been shown to affect the excitability of muscle and neuronal cells. However, understanding the interplay between electroporation and electrophysiological response of excitable cells is complex, since both ion channel gating and electroporation depend on dynamic changes in the transmembrane voltage (TMV). In this study, a genetically engineered human embryonic kidney cells expressing Na

Indexed as

Behavior TherapyElectroporationBiological AssayCell Membrane PermeabilityComputer SimulationHumans

Identifiers

PMID38184741
PMCPMC10771480
OpenAlexW4390640122

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.