Evidence map›Paper›PMID 31845810›Full record

ArticleNano letters2020

NanoMEA: A Tool for High-Throughput, Electrophysiological Phenotyping of Patterned Excitable Cells.

Alec S T Smith, Eunpyo Choi, Kevin Gray, Jesse Macadangdang, Eun Hyun Ahn, Elisa C Clark, Michael A Laflamme, Joseph C Wu, Charles E Murry, Leslie Tung and 1 more

Open access · greenAbstract read
In one paragraph

Article in Nano letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.9field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 50 citations in OpenAlex.

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  13. Multiscale Mechanobiology in Brain Physiology and Diseases.Frontiers in cell and developmental biology · 2022
    Review
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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

11 authors at 5 institutions in 3 countries.

Alec S T SmithDepartment of Bioengineering, University of Washington, Seattle, Washington 98195, United States.ORCID 0000-0002-0001-8484
Eunpyo ChoiDepartment of Bioengineering, University of Washington, Seattle, Washington 98195, United States.
Kevin GrayDepartment of Bioengineering, University of Washington, Seattle, Washington 98195, United States.
Jesse MacadangdangDepartment of Bioengineering, University of Washington, Seattle, Washington 98195, United States.
Eun Hyun AhnInstitute for Stem Cell and Regenerative Medicine, University of Washington, Seattle, Washington 98109, United States.
Elisa C ClarkDepartment of Bioengineering, University of Washington, Seattle, Washington 98195, United States.
Michael A LaflammeToronto General Hospital Research Institute, McEwen Centre for Regenerative Medicine, University Health Network, Toronto, Ontario M5G 2C4, Canada.
Joseph C WuStanford Cardiovascular Institute, Stanford University, Stanford, California 94305, United States.
Charles E MurryDepartment of Bioengineering, University of Washington, Seattle, Washington 98195, United States.
Leslie TungDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland 21205, United States.
Deok-Ho KimDepartment of Bioengineering, University of Washington, Seattle, Washington 98195, United States.ORCID 0000-0002-6989-6074
University of Washington · USJohns Hopkins University · USCardiovascular Institute of the South · USChonnam National University · KRUniversity Health Network · CA

Funding

NCCIH Supplement to NCATS/CTSA Program for KL2 Scholars - M. SoddersKL2TR002317 · NCATS · UNIVERSITY OF WASHINGTON · PI Christy Michelle McKinney · 2017 to 2026
$14.5M
EXPERIMENTAL PATHOLOGY OF CARDIOVASCULAR DISEASET32HL007312 · NHLBI · UNIVERSITY OF WASHINGTON · PI MAJESKY, MARK W., SCHWARTZ, STEPHEN MARK · 1985 to 2019
$11.8M
Biorepository of Human iPSCs for Studying Dilated and Hypertrophic CardiomyopathyR24HL117756 · NHLBI · STANFORD UNIVERSITY · PI BUSTAMANTE, CARLOS DANIEL, SNYDER, MICHAEL P. · 2014 to 2018
$8.8M
Elucidating Mechanism of Cardiac Fibrosis with Cell Village of Pooled Human iPSCsR01HL130020 · NHLBI · STANFORD UNIVERSITY · PI Ronglih Liao, MARK MERCOLA · 2016 to 2026
$7.3M
Genome Editing of Human iPSCs to Study Inherited Hypertrophic CardiomyopathyR01HL126527 · NHLBI · STANFORD UNIVERSITY · PI QI, LEI STANLEY, WU, JOSEPH C. · 2015 to 2022
$5.4M
DISEASE MODELING AND PHENOTYPIC DRUG SCREENING FOR DYSTROPHIC CARDIOMYOPATHYR01HL146436 · NHLBI · UNIVERSITY OF WASHINGTON · PI KIM, DEOK-HO · 2019 to 2022
$2.2M
A NANOPATTERNED MEA-BASED FUNCTIONAL PHENOTYPING ASSAY FOR DRUG-INDUCED CARDIOTOXICITY SCREENINGR01HL135143 · NHLBI · UNIVERSITY OF WASHINGTON · PI KIM, DEOK-HO · 2017 to 2021
$1.9M
High-throughput nanoMEA-based Proarrhythmia AssayR44HL131169 · NHLBI · CURI BIO INC · PI GEISSE, NICHOLAS ANDREW · 2018 to 2019
$1.7M
TISSUE ENGINEERED HUMAN NEUROMUSCULAR JUNCTIONS FOR MODELING AXONAL NEUROPATHYR01NS094388 · NINDS · UNIVERSITY OF WASHINGTON · PI KIM, DEOK-HO · 2017 to 2021
$1.7M
A HUMAN IPSC-BASED 3D MICROPHYSIOLOGICAL SYSTEM FOR MODELING CARDIAC DYSFUNCTION IN MICROGRAVITYUG3EB028094 · NIBIB · UNIVERSITY OF WASHINGTON · PI KIM, DEOK-HO · 2018 to 2019
$1.5M
Mutagenesis and migration in glioblastoma cellsR21CA220111 · NCI · UNIVERSITY OF WASHINGTON · PI AHN, EUN HYUN · 2018 to 2019
$379k
NCATS NIH HHS KL2 TR002317NCI NIH HHS R21 CA220111NHLBI NIH HHS R01 HL126527NHLBI NIH HHS R01 HL130020NHLBI NIH HHS R01 HL135143NHLBI NIH HHS R01 HL146436NHLBI NIH HHS R24 HL117756NHLBI NIH HHS R44 HL131169NHLBI NIH HHS T32 HL007312NIBIB NIH HHS UG3 EB028094NINDS NIH HHS R01 NS094388
6 · The paper itself

Abstract

Matrix nanotopographical cues are known to regulate the structure and function of somatic cells derived from human pluripotent stem cell (hPSC) sources. High-throughput electrophysiological analysis of excitable cells derived from hPSCs is possible via multielectrode arrays (MEAs) but conventional MEA platforms use flat substrates and do not reproduce physiologically relevant tissue-specific architecture. To address this issue, we developed a high-throughput nanotopographically patterned multielectrode array (nanoMEA) by integrating conductive, ion-permeable, nanotopographic patterns with 48-well MEA plates, and investigated the effect of substrate-mediated cytoskeletal organization on hPSC-derived cardiomyocyte and neuronal function at scale. Using our nanoMEA platform, we found patterned hPSC-derived cardiac monolayers exhibit both enhanced structural organization and greater sensitivity to treatment with calcium blocking or conduction inhibiting compounds when subjected to high-throughput dose-response studies. Similarly, hPSC-derived neurons grown on nanoMEA substrates exhibit faster migration and neurite outgrowth speeds, greater colocalization of pre- and postsynaptic markers, and enhanced cell-cell communication only revealed through examination of data sets derived from multiple technical replicates. The presented data highlight the nanoMEA as a new tool to facilitate high-throughput, electrophysiological analysis of ordered cardiac and neuronal monolayers, which can have important implications for preclinical analysis of excitable cell function.

Indexed as

Cell DifferentiationElectrophysiological PhenomenaElectrodesHumansInduced Pluripotent Stem CellsMyocytes, CardiacNeuronscardiomyocyteelectrophysiologyiPSCMultielectrode arraysnanotopographyneuron

Identifiers

PMID31845810
PMCPMC7547911
OpenAlexW2996488494

What OpenQuestion holds

Textmetadata
LicenceTDM
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.