Evidence map›Paper›PMID 42239185›Full record

ArticlebioRxiv : the preprint server for biology2026

Kinemomics: spatiotemporal morphodynamic mapping of ventricular kinematic subpopulations in organotypic fetal heart slices.

Gening Dong, Linyang Wu, Junho Choe, Dylan Mostert, Mingkun Wang, Jonathan T Butcher

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. 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

6 authors.

Gening DongThe Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY 14853.ORCID 0000-0002-8503-2866
Linyang WuThe Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY 14853.
Junho ChoeThe Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY 14853.
Dylan MostertDepartment of Biomedical Engineering, Eindhoven University of Technology, the Netherlands.ORCID 0000-0002-1887-377X
Mingkun WangThe Nancy E. and Peter C. Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY 14853.ORCID 0000-0002-9273-7645
Jonathan T ButcherThe Sibley School of Mechanical and Aerospace Engineering, Cornell University, Ithaca, NY 14853.ORCID 0000-0002-9309-6296

Funding

Mechanobiology of Cardiac Outflow Tract MorphogenesisR01HL160028 · NHLBI · CORNELL UNIVERSITY · PI BUTCHER, JONATHAN TALBOT · 2022 to 2025
$3.1M
Zeiss LSM710 Confocal Microscope for Shared Imaging FacilityS10RR025502 · NCRR · CORNELL UNIVERSITY · PI WILLIAMS, REBECCA M · 2009 to 2009
$500k
NCRR NIH HHS S10 RR025502NHLBI NIH HHS R01 HL160028
6 · The paper itself

Abstract

Recent advancements in omics technologies have deepened our understanding of complex biological systems and the interplay among gene expression, mechanical cues, and cellular metabolism. However, capturing the spatiotemporal dynamics of live cellular behavior within intact tissue contexts remains a major challenge. Here, we introduce Kinemomics, a framework for spatiotemporal mapping of morphogenetic kinematic states in living tissue. Using a novel fetal cardiac organotypic slice culture system that preserves both beating and morphogenesis, Kinemomics integrates live fluorescent labeling, timelapse imaging, and endpoint immunofluorescence to generate morphodynamic profiles across full-thickness developing myocardium. We validate Kinemomics under controlled Yap-1 signaling perturbations and demonstrate its ability not only to intrinsically decode region- and treatment-specific phenotypes, but also to resolve their spatiotemporal evolution during development and malformation. Kinemomics further reveals localized emergent developmental and malforming fronts that drive system-level behavior, establishing a generalizable platform for investigating computational morphodynamics and cross-scale interactions in complex spatiotemporal systems.

Identifiers

PMID42239185
PMCPMC13228568

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.