Evidence map›Paper›PMID 31074016›Full record

ArticleBritish journal of pharmacology2019

Contribution of potassium channels to action potential repolarization of human embryonic stem cell-derived cardiomyocytes.

Yin Wang, Renjun Zhu, Leslie Tung

Open access · bronzeAbstract read
In one paragraph

Article in British journal of pharmacology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 44% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Cardiomyocyte Maturation-the Road is not Obstructed.Stem cell reviews and reports · 2022
    Review
  5. Article
  6. 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

3 authors at 2 institutions in 2 countries.

Yin WangDepartment of Biomedical Engineering, The Johns Hopkins University, Baltimore, MD, USA.
Renjun ZhuDepartment of Biomedical Engineering, The Johns Hopkins University, Baltimore, MD, USA.
Leslie TungDepartment of Biomedical Engineering, The Johns Hopkins University, Baltimore, MD, USA.ORCID 0000-0002-7056-5184
Johns Hopkins University · USUnion Hospital · CN

Funding

Computational Classification of Human Stem Cell-Derived CardiomyocytesR21HL122881 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI TUNG, LESLIE, VIDAL, RENE · 2015 to 2016
$446k
JHU Ultima-L Imaging SystemS10RR025544 · NCRR · JOHNS HOPKINS UNIVERSITY · PI TUNG, LESLIE · 2009 to 2009
$158k
NCRR NIH HHS S10 RR025544NHLBI NIH HHS R21 HL122881
6 · The paper itself

Abstract

background and purposeThe electrophysiological properties of human pluripotent stem cell-derived cardiomyocytes (CMs) have not yet been characterized in a syncytial context. This study systematically characterized the contributions of different repolarizing potassium currents in human embryonic stem cell-derived CMs (hESC-CMs) during long-term culture as cell monolayers. EXPERIMENTAL APPROACH: The H9 hESC line was differentiated to CMs and plated to form confluent cell monolayers. Optical mapping was used to record the action potentials (APs) and conduction velocity (CV) during electrophysiological and pharmacological experiments. RT-PCR and Western blot were used to detect the presence and expression levels of ion channel subunits. KEY

resultsLong-term culture of hESC-CMs led to shortened AP duration (APD), faster repolarization rate, and increased CV. Selective block of I CONCLUSIONS AND IMPLICATIONS: I

Indexed as

Action PotentialsCell LineHuman Embryonic Stem CellsHumansMyocytes, CardiacPotassium ChannelsPotassium Channels

Identifiers

PMID31074016
PMCPMC6609543
OpenAlexW2944133737

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.