Evidence map›Paper›PMID 26729331›Full record

ArticleScientific reports2016

Variability of Action Potentials Within and Among Cardiac Cell Clusters Derived from Human Embryonic Stem Cells.

Renjun Zhu, Michal A Millrod, Elias T Zambidis, Leslie Tung

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

24 citing papers in PubMed, 59 citations in OpenAlex.

  1. In vitro sex-specific function-structure relationship in neonatal rat cardiac monolayers.Proceedings of the National Academy of Sciences of the United States of America · 2026
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  11. Review
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  13. DMD Pluripotent Stem Cell Derived Cardiac Cells RecapitulateFrontiers in bioengineering and biotechnology · 2020
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Regulation of CaCell calcium · 2019
    Article
  19. Article
  20. 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.

Renjun ZhuDepartment of Biomedical Engineering, The Johns Hopkins University, Baltimore, MD 21205.
Michal A MillrodInstitute for Cell Engineering and Division of Pediatric Oncology, Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University, Baltimore, MD 21205.
Elias T ZambidisInstitute for Cell Engineering and Division of Pediatric Oncology, Sidney Kimmel Comprehensive Cancer Center, The Johns Hopkins University, Baltimore, MD 21205.
Leslie TungDepartment of Biomedical Engineering, The Johns Hopkins University, Baltimore, MD 21205.
Johns Hopkins University · USSidney Kimmel Comprehensive Cancer Center · US

Funding

Basic and Translational Research of iPSC-Based hematologic and Vascular TherapiesU01HL099775 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI FRIEDMAN, ALAN D · 2009 to 2015
$8.4M
Pluripotent Stem Cell Vascular Therapies for Ischemic RetinopathiesR01EY023962 · NEI · JOHNS HOPKINS UNIVERSITY · PI ZAMBIDIS, ELIAS T. · 2014 to 2018
$1.8M
Functional Vascular Progenitors from Naive Human iPSCR01HD082098 · NICHD · JOHNS HOPKINS UNIVERSITY · PI ZAMBIDIS, ELIAS T. · 2015 to 2019
$1.7M
Functional Classification of Cardiomyocytes Derived from Stem CellsR21HL108210 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI TUNG, LESLIE · 2011 to 2012
$451k
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
Transcriptional and Epigenetic Regulation of HSC Generated from iPS and ESCR03HL096220 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI FRIEDMAN, ALAN D, ZAMBIDIS, ELIAS T. · 2009 to 2009
$41k
NCRR NIH HHS S10 RR025544NEI NIH HHS R01 EY023962NHLBI NIH HHS R03 HL096220NHLBI NIH HHS R21 HL108210NHLBI NIH HHS R21 HL122881NHLBI NIH HHS U01 HL099775NHLBI NIH HHS U01HL099775NICHD NIH HHS R01 HD082098
6 · The paper itself

Abstract

Electrophysiological variability in cardiomyocytes derived from pluripotent stem cells continues to be an impediment for their scientific and translational applications. We studied the variability of action potentials (APs) recorded from clusters of human embryonic stem cell-derived cardiomyocytes (hESC-CMs) using high-resolution optical mapping. Over 23,000 APs were analyzed through four parameters: APD30, APD80, triangulation and fractional repolarization. Although measures were taken to reduce variability due to cell culture conditions and rate-dependency of APs, we still observed significant variability in APs among and within the clusters. However, similar APs were found in spatial locations with close proximity, and in some clusters formed distinct regions having different AP characteristics that were reflected as separate peaks in the AP parameter distributions, suggesting multiple electrophysiological phenotypes. Using a recently developed automated method to group cells based on their entire AP shape, we identified distinct regions of different phenotypes within single clusters and common phenotypes across different clusters when separating APs into 2 or 3 subpopulations. The systematic analysis of the heterogeneity and potential phenotypes of large populations of hESC-CMs can be used to evaluate strategies to improve the quality of pluripotent stem cell-derived cardiomyocytes for use in diagnostic and therapeutic applications and in drug screening.

Indexed as

Action PotentialsCell DifferentiationElectric StimulationElectrophysiological PhenomenaHuman Embryonic Stem CellsHumansMyocytes, Cardiac

Identifiers

PMID26729331
PMCPMC4700458
OpenAlexW2224196257

What OpenQuestion holds

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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.