Evidence map›Paper›PMID 27161419›Full record

ArticleNature communications2016

OptoDyCE as an automated system for high-throughput all-optical dynamic cardiac electrophysiology.

Aleksandra Klimas, Christina M Ambrosi, Jinzhu Yu, John C Williams, Harold Bien, Emilia Entcheva

Open access · goldAbstract readEvaluation StudyValidation Study
In one paragraph

Article in Nature communications, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed
9.9field-weighted citation impact, top 1% 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

86 citing papers in PubMed, 162 citations in OpenAlex.

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  13. Cardiac optogenetics: shining light on signaling pathways.Pflugers Archiv : European journal of physiology · 2023
    Review
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26 more citing papers are in PubMed but not listed here.

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 1 institution in 1 country.

Aleksandra KlimasDepartment of Biomedical Engineering, Stony Brook University, Stony Brook, New York, USA.
Christina M AmbrosiDepartment of Biomedical Engineering, Stony Brook University, Stony Brook, New York, USA.
Jinzhu YuDepartment of Biomedical Engineering, Stony Brook University, Stony Brook, New York, USA.
John C WilliamsDepartment of Biomedical Engineering, Stony Brook University, Stony Brook, New York, USA.ORCID 0000-0002-3500-914X
Harold BienDepartment of Biomedical Engineering, Stony Brook University, Stony Brook, New York, USA.ORCID 0000-0002-4352-1848
Emilia EntchevaDepartment of Biomedical Engineering, Stony Brook University, Stony Brook, New York, USA.
Stony Brook University · US

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM008444 · NIGMS · STATE UNIVERSITY NEW YORK STONY BROOK · PI FROHMAN, MICHAEL A. · 1992 to 2024
$12.6M
Cardiac Optogenetics: A Cell Delivery ApproachR01HL111649 · NHLBI · STATE UNIVERSITY NEW YORK STONY BROOK · PI ENTCHEVA, EMILIA · 2012 to 2016
$2.4M
NHLBI NIH HHS R01 HL111649NIGMS NIH HHS T32 GM008444
6 · The paper itself

Abstract

The improvement of preclinical cardiotoxicity testing, discovery of new ion-channel-targeted drugs, and phenotyping and use of stem cell-derived cardiomyocytes and other biologics all necessitate high-throughput (HT), cellular-level electrophysiological interrogation tools. Optical techniques for actuation and sensing provide instant parallelism, enabling contactless dynamic HT testing of cells and small-tissue constructs, not affordable by other means. Here we show, computationally and experimentally, the limits of all-optical electrophysiology when applied to drug testing, then implement and validate OptoDyCE, a fully automated system for all-optical cardiac electrophysiology. We validate optical actuation by virally introducing optogenetic drivers in rat and human cardiomyocytes or through the modular use of dedicated light-sensitive somatic 'spark' cells. We show that this automated all-optical approach provides HT means of cellular interrogation, that is, allows for dynamic testing of >600 multicellular samples or compounds per hour, and yields high-content information about the action of a drug over time, space and doses.

Indexed as

AnimalsAutomationCardiotoxinsCells, CulturedDrug DiscoveryDrug Evaluation, PreclinicalElectrophysiologic Techniques, CardiacHigh-Throughput Screening AssaysHumansMyocytes, CardiacNifedipineOptogeneticsRatsCardiotoxinsNifedipine

Identifiers

PMID27161419
PMCPMC4866323
OpenAlexW2950445819

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.