ArticleInnovation (Cambridge (Mass.))2023
Dynamic network biomarker factors orchestrate cell-fate determination at tipping points during hESC differentiation.
Article in Innovation (Cambridge (Mass.)), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 12 citations in OpenAlex.
- HNPP: Higher-order network-based personalized PageRank for detecting critical phase in complex biological systems.PLoS computational biology · 2026Article
- Construction of liver organoid models by hepatobiliary differentiation from human induced pluripotent stem cells: state of the art, challenges and improving strategies.Stem cell research & therapy · 2026Review
- Analysis of the transcriptomic and metabolomic landscape of prostate cancer with different anatomical origins using snFLARE-seq and mxFRIZNGRND.Nature communications · 2026Article
- Detection of pre-transition phases during biological development using single-sample network entropy (SNE).NPJ systems biology and applications · 2025Article
- FatePredictor: Cell fate decision-making prediction with an ensemble deep learning model.Innovation (Cambridge (Mass.)) · 2025Article
- Identification of prognostic biomarkers in colorectal cancer through multi-omics profiling of programmed cell death pathways.Journal of gastrointestinal oncology · 2025Article
- In silico modeling of directed differentiation of induced pluripotent stem cells to definitive endoderm.PLoS computational biology · 2025Article
- "Weibing" in traditional Chinese medicine-biological basis and mathematical representation of disease-susceptible state.Acta pharmaceutica Sinica. B · 2025Review
- Identification of Critical States in Complex Biological Systems Using Cell-Specific Causal Network Entropy.Research (Washington, D.C.) · 2025Article
- CPMI: comprehensive neighborhood-based perturbed mutual information for identifying critical states of complex biological processes.BMC bioinformatics · 2024Article
- Revealing cell-cell communication pathways with their spatially coupled gene programs.Briefings in bioinformatics · 2024Article
- Mesenchymal stem cell-derived extracellular vesicles targeting irradiated intestine exert therapeutic effects.Theranostics · 2024Article
- Review
- Optimizing health-span: advances in stem cell medicine and longevity research.Medical review (2021) · 2023Article
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The generation of ectoderm, mesoderm, and endoderm layers is the most critical biological process during the gastrulation of embryo development. Such a differentiation process in human embryonic stem cells (hESCs) is an inherently nonlinear multi-stage dynamical process which contain multiple tipping points playing crucial roles in the cell-fate decision. However, the tipping points of the process are largely unknown, letting alone the understanding of the molecular regulation on these critical events. Here by designing a module-based dynamic network biomarker (M-DNB) model, we quantitatively pinpointed two tipping points of the differentiation of hESCs toward definitive endoderm, which leads to the identification of M-DNB factors (
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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.