ArticlePloS one2012
A boolean model of the cardiac gene regulatory network determining first and second heart field identity.
Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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.
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.
Who cites it
33 citing papers in PubMed.
- Modeling of gene regulatory networks: an annotated glossary.Trends in plant science · 2026Review
- Molecular insights into heart field-specific cardiomyocyte differentiation - A computational study.PloS one · 2026Article
- Biologically meaningful regulatory logic enhances the convergence rate in Boolean networks and bushiness of their state transition graph.Briefings in bioinformatics · 2024Article
- CANTATA-prediction of missing links in Boolean networks using genetic programming.Bioinformatics (Oxford, England) · 2022Article
- Single Cell Transcriptomics to Understand HSC Heterogeneity and Its Evolution upon Aging.Cells · 2022Review
- Identification of dynamic driver sets controlling phenotypical landscapes.Computational and structural biotechnology journal · 2022Article
- Boolean modelling in plant biology.Quantitative plant biology · 2022Review
- Discrete Logic Modeling of Cell Signaling Pathways.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Precise Dose of Folic Acid Supplementation Is Essential for Embryonic Heart Development in Zebrafish.Biology · 2021Article
- A cis-regulatory-directed pipeline for the identification of genes involved in cardiac development and disease.Genome biology · 2021Article
- Capturing dynamic relevance in Boolean networks using graph theoretical measures.Bioinformatics (Oxford, England) · 2021Article
- Advances in Cardiac Development and Regeneration Using Zebrafish as a Model System for High-Throughput Research.Journal of developmental biology · 2021Review
- The basis of easy controllability in Boolean networks.Nature communications · 2021Article
- Unraveling the Molecular Tumor-Promoting Regulation of Cofilin-1 in Pancreatic Cancer.Cancers · 2021Article
- Data-Driven Modeling of Breast Cancer Tumors Using Boolean Networks.Frontiers in big data · 2021Article
- Antifragility Predicts the Robustness and Evolvability of Biological Networks through Multi-Class Classification with a Convolutional Neural Network.Entropy (Basel, Switzerland) · 2020Article
- Emergence of informative higher scales in biological systems: a computational toolkit for optimal prediction and control.Communicative & integrative biology · 2020Article
- Concepts in Boolean network modeling: What do they all mean?Computational and structural biotechnology journal · 2020Review
- Awakening the HSC: Dynamic Modeling of HSC Maintenance Unravels Regulation of the TP53 Pathway and Quiescence.Frontiers in physiology · 2020Article
- Development and evolution of the metazoan heart.Developmental dynamics : an official publication of the American Association of Anatomists · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Two types of distinct cardiac progenitor cell populations can be identified during early heart development: the first heart field (FHF) and second heart field (SHF) lineage that later form the mature heart. They can be characterized by differential expression of transcription and signaling factors. These regulatory factors influence each other forming a gene regulatory network. Here, we present a core gene regulatory network for early cardiac development based on published temporal and spatial expression data of genes and their interactions. This gene regulatory network was implemented in a Boolean computational model. Simulations reveal stable states within the network model, which correspond to the regulatory states of the FHF and the SHF lineages. Furthermore, we are able to reproduce the expected temporal expression patterns of early cardiac factors mimicking developmental progression. Additionally, simulations of knock-down experiments within our model resemble published phenotypes of mutant mice. Consequently, this gene regulatory network retraces the early steps and requirements of cardiogenic mesoderm determination in a way appropriate to enhance the understanding of heart development.
Indexed as
Identifiers
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.