ArticleScience (New York, N.Y.)2021
Network-based screen in iPSC-derived cells reveals therapeutic candidate for heart valve disease.
Article in Science (New York, N.Y.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.
What it found
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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.
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.
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Who cites it
57 citing papers in PubMed, 102 citations in OpenAlex.
- Therapeutic Target Mapping to Advance Drug Repurposing for Cardiovascular Disease: A Perspective from an Explanted Heart Biobank.Journal of personalized medicine · 2026Review
- Scaling and quantization of large-scale foundation model enables resource-efficient predictions in network biology.Nature computational science · 2026Article
- Review
- Temporal AI model predicts drivers of cell state trajectories across human aging.bioRxiv : the preprint server for biology · 2026Article
- Reduced TBX5 dosage undermines developmental control of atrial cardiomyocyte identity in a model of human atrial disease.Development (Cambridge, England) · 2026Article
- Review
- Inflammation and Adipocyte Metabolism in Calcific Aortic Valve Stenosis: When New Is Well-Forgotten Old.JACC. Basic to translational science · 2025Article
- An overview on cardiac regeneration revolution: exploring the promise of stem cell therapies.Molecular biology reports · 2025Review
- Navigating the Landscape of Translational Medicine of Calcific Aortic Valve Disease: Bridging Bench to Bedside.JACC. Asia · 2025Review
- Establishment and characterization of a novel immortalized human aortic valve interstitial cell line.Scientific reports · 2025Article
- Atherosclerosis, calcific aortic valve disease and mitral annular calcification: same or different?International journal of cardiology · 2025Review
- Synergy between pluripotent stem cell-derived macrophages and self-renewing macrophages: Envisioning a promising avenue for the modelling and cell therapy of infectious diseases.Cell proliferation · 2025Review
- Bayesian estimation of muscle mechanisms and therapeutic targets using variational autoencoders.Biophysical journal · 2025Article
- Article
- Tissue Engineering In Vitro Leaflet- and 3-Dimensional Printing-Based Implant Prototypes for Infant Mitral Valve.BME frontiers · 2025Article
- Coronary microcirculation dysfunction causing ischemia with non-obstructive coronary arteries: a case report.Frontiers in cardiovascular medicine · 2025Article
- Bayesian Estimation of Muscle Mechanisms and Therapeutic Targets Using Variational Autoencoders.bioRxiv : the preprint server for biology · 2024Article
- Clinical trials in-a-dish for cardiovascular medicine.European heart journal · 2024Review
- Quantized multi-task learning for context-specific representations of gene network dynamics.bioRxiv : the preprint server for biology · 2024Article
- CGMega: explainable graph neural network framework with attention mechanisms for cancer gene module dissection.Nature communications · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors at 4 institutions in 2 countries.
Funding
Abstract
Mapping the gene-regulatory networks dysregulated in human disease would allow the design of network-correcting therapies that treat the core disease mechanism. However, small molecules are traditionally screened for their effects on one to several outputs at most, biasing discovery and limiting the likelihood of true disease-modifying drug candidates. Here, we developed a machine-learning approach to identify small molecules that broadly correct gene networks dysregulated in a human induced pluripotent stem cell (iPSC) disease model of a common form of heart disease involving the aortic valve (AV). Gene network correction by the most efficacious therapeutic candidate, XCT790, generalized to patient-derived primary AV cells and was sufficient to prevent and treat AV disease in vivo in a mouse model. This strategy, made feasible by human iPSC technology, network analysis, and machine learning, may represent an effective path for drug discovery.
Indexed as
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What OpenQuestion holds
Registered trials
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.