Evidence map›Paper›PMID 37476002›Full record

ArticleComputer methods and programs in biomedicine update2023

Rianú: Multi-tissue tracking software for increased throughput of engineered cardiac tissue screening.

Jack F Murphy, Kevin D Costa, Irene C Turnbull

Abstract read
In one paragraph

Article in Computer methods and programs in biomedicine update, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jack F MurphyIcahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1014, New York City, 10029, NY, USA.
Kevin D CostaIcahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1014, New York City, 10029, NY, USA.
Irene C TurnbullIcahn School of Medicine at Mount Sinai, One Gustave L. Levy Place, Box 1014, New York City, 10029, NY, USA.

Funding

Training In Cardiovascular Physiology & PharmacologyT32HL007444 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Ju Chen, Robert Scott Ross · 1985 to 2026
$11.1M
UCSD PRIDE Faculty Development Program in Cardiovascular SciencesR25HL145817 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Robert Scott Ross, Joann Trejo · 2019 to 2026
$3.3M
Harnessing Paracrine Mechanisms of Stem Cell-mediated Cardiac Contractile EnhancementR01HL132226 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI COSTA, KEVIN D · 2017 to 2020
$1.7M
Harnessing the Benefits of Adult Stem Cell Exosomes for Enhancing Cardiac Contractile FunctionK01HL133424 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CAL Y MAYOR-TURNBULL, IRENE · 2016 to 2020
$701k
Defining the role of non-myocytes to achieve biologically relevant engineered myocardial tissuesR03HL154286 · NHLBI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI CAL Y MAYOR-TURNBULL, IRENE · 2020 to 2021
$170k
NHLBI NIH HHS K01 HL133424NHLBI NIH HHS R01 HL132226NHLBI NIH HHS R03 HL154286NHLBI NIH HHS R25 HL145817NHLBI NIH HHS T32 HL007444
6 · The paper itself

Abstract

Background: The field of tissue engineering has provided valuable three-dimensional species-specific models of the human myocardium in the form of human Engineered Cardiac Tissues (hECTs) and similar constructs. However, hECT systems are often bottlenecked by a lack of openly available software that can collect data from multiple tissues at a time, even in multi-tissue bioreactors, which limits throughput in phenotypic and therapeutic screening applications. Methods: We developed Rianú, an open-source web application capable of simultaneously tracking multiple hECTs on flexible end-posts. This software is operating system agnostic and deployable on a remote server, accessible via a web browser with no local hardware or software requirements. The software incorporates object-tracking capabilities for multiple objects simultaneously, an algorithm for twitch tracing analysis and contractile force calculation, and a data compilation system for comparative analysis within and amongst groups. Validation tests were performed using in-silico and in-vitro experiments for comparison with established methods and interventions. Results: Rianú was able to detect the displacement of the flexible end-posts with a sub-pixel sensitivity of 0.555 px/post (minimum increment in post displacement) and a lower limit of 1.665 px/post (minimum post displacement). Compared to our established reference for contractility assessment, Rianú had a high correlation for all parameters analyzed (ranging from Conclusions: Rianú provides simultaneous tracking of multiple hECTs, expediting the recording and analysis processes, and simplifies time-based intervention studies. It also allows data collection from different formats and has scale-up capabilities proportional to the number of tissues per field of view. These capabilities will enhance throughput of hECTs and similar assays for in-vitro analysis in disease modeling and drug screening applications.

Indexed as

Cardiac muscle functionContractility analysisDrug screeningHuman engineered cardiac tissuesObject trackingTissue engineering

Identifiers

PMID37476002
PMCPMC10359020

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LicenceCC BY-NC-ND
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Registered trials

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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.