Evidence map›Paper›PMID 38747042›Full record

ArticleThe Journal of physiology2024

Single-cell ionic current phenotyping elucidates non-canonical features and predictive potential of cardiomyocytes during automated drug experiments.

Alexander P Clark, Siyu Wei, David J Christini, Trine Krogh-Madsen

Abstract read
In one paragraph

Article in The Journal of physiology, 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
–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

1 citing paper in PubMed.

  1. 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.

Alexander P ClarkDepartment of Biomedical Engineering, Cornell University, Ithaca, New York, USA.ORCID 0000-0002-5200-6573
Siyu WeiDepartment of Physiology and Pharmacology, SUNY Downstate Health Sciences University, Brooklyn, New York, USA.ORCID 0000-0003-1085-6788
David J ChristiniDepartment of Biomedical Engineering, Cornell University, Ithaca, New York, USA.ORCID 0000-0003-0852-2922
Trine Krogh-MadsenDepartment of Physiology & Biophysics, Weill Cornell Medicine, New York, New York, USA.ORCID 0000-0003-2298-6918

Funding

Multiscale modeling to map cardiac electrophysiology between speciesU01HL136297 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CHRISTINI, DAVID J., SOBIE, ERIC A · 2017 to 2021
$3.2M
Predicting Drug Cardiotoxicity Targets Using iPSC-Derived Cardiomyocytes and Machine LearningF31HL154655 · NHLBI · CORNELL UNIVERSITY · PI CLARK, ALEXANDER P · 2020 to 2022
$99k
NHLBI NIH HHS F31 HL154655NHLBI NIH HHS U01 HL136297
6 · The paper itself

Abstract

All new drugs must go through preclinical screening tests to determine their proarrhythmic potential. While these assays effectively filter out dangerous drugs, they are too conservative, often misclassifying safe compounds as proarrhythmic. In this study, we attempt to address this shortcoming with a novel, medium-throughput drug-screening approach: we use an automated patch-clamp system to acquire optimized voltage clamp (VC) and action potential (AP) data from human induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) at several drug concentrations (baseline, 3×, 10× and 20× the effective free plasma concentrations). With our novel method, we show correlations between I

Indexed as

Action PotentialsInduced Pluripotent Stem CellsMyocytes, CardiacAnti-Arrhythmia AgentsCells, CulturedDrug Evaluation, PreclinicalFlecainideHumansPatch-Clamp TechniquesPhenotypeQuinineSingle-Cell AnalysisAnti-Arrhythmia AgentsFlecainideQuinineelectrophysiologyiPSC‐CMpatch clampsystems biology

Identifiers

PMID38747042
PMCPMC11493530

What OpenQuestion holds

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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.