Evidence map›Paper›PMID 41523749›Full record

ArticlemicroPublication biology2025

SarcGraph for High-Throughput Regional Analysis of Sarcomere Organization and Contractile Function in 2D Cardiac Muscle Bundles.

Saeed Mohammadzadeh, Yao-Chang Tsan, Aaron Renberg, Hiba Kobeissi, Adam Helms, Emma Lejeune

Abstract read
In one paragraph

Article in microPublication biology, 2025. 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

6 authors.

Saeed MohammadzadehDepartment of Mechanical Engineering, Boston University, Boston, Massachusetts, United States.
Yao-Chang TsanDepartment of Internal Medicine, University of Michigan, Ann Arbor, Michigan, United States.
Aaron RenbergDepartment of Internal Medicine, University of Michigan, Ann Arbor, Michigan, United States.
Hiba KobeissiDepartment of Mechanical Engineering, Boston University, Boston, Massachusetts, United States.
Adam HelmsDepartment of Internal Medicine, University of Michigan, Ann Arbor, Michigan, United States.
Emma LejeuneDepartment of Mechanical Engineering, Boston University, Boston, Massachusetts, United States.

Funding

Missense Variants in Myosin Binding Protein C that Cause Hypertrophic CardiomyopathyR01HL167524 · NHLBI · UNIVERSITY OF PENNSYLVANIA · PI Sharlene M Day · 2023 to 2026
$2.8M
Cis regulatory variants of haploinsufficiency genes as cardiomyopathy modifiersR01HL171074 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ADAM S HELMS · 2024 to 2026
$2.1M
Stoichiometric, adhesion, and contractile deficits in desmoplakin cardiomyopathyR01HL176497 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ADAM S HELMS · 2025 to 2026
$1.3M
Development of a high throughput microtissue model for integrative analysis of contractile function and biomechanical stress in iPSC-derived cardiomyocytesR03HL148465 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI HELMS, ADAM S · 2021 to 2022
$156k
NHLBI NIH HHS R01 HL167524NHLBI NIH HHS R01 HL171074NHLBI NIH HHS R01 HL176497NHLBI NIH HHS R03 HL148465
6 · The paper itself

Abstract

Timelapse images of human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) provide rich information on cell structure and contractile function. The two-dimensional cardiac muscle bundle (2DMB) platform standardizes tissue geometry, enabling physiologic, uniaxial contractions on elastomeric substrates. However, larger sarcomere displacements in 2DMBs challenge existing tracking pipelines. We present adaptations to SarcGraph, an open-source Python package for sarcomere detection and tracking, enabling automated analysis of high-frame-rate 2DMB videos. Key modifications include frame-by-frame detection with automated segmentation, Gaussian Process Regression for denoising, and automatic contractile phase detection. We provide 130 example movies through Harvard Dataverse, enabling high-throughput analysis and advancing hiPSC-CM research.

Identifiers

PMID41523749
PMCPMC12784218

What OpenQuestion holds

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LicenceCC BY
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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.