ArticleeLife2022
Landscape of epithelial-mesenchymal plasticity as an emergent property of coordinated teams in regulatory networks.
Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.
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Who cites it
38 citing papers in PubMed.
- Systems-level analysis identifies IRF6 as an inhibitor of epithelial-mesenchymal transition.Journal of biological engineering · 2026Article
- Hallmarks of epithelial-mesenchymal plasticity in cancer.Molecular cancer · 2026Review
- Bidirectional coupling among EMT, AXL-RB1 signaling and lineage switch drives resistance to osimertinib and worse clinical outcomes in NSCLC.bioRxiv : the preprint server for biology · 2026Article
- A computational approach for perturbation-induced EMT transitions.NPJ systems biology and applications · 2025Article
- HOXA10-TWIST2 antagonism drives partial epithelial-to-mesenchymal transition for embryo implantation.Cell death discovery · 2025Article
- GRiNS: a python library for simulating gene regulatory network dynamics.BMC bioinformatics · 2025Article
- Fluctuation structure predicts genome-wide perturbation outcomes.Research square · 2025Article
- Fluctuation structure predicts genome-wide perturbation outcomes.bioRxiv : the preprint server for biology · 2025Article
- An integrative phenotype-structured partial differential equation model for the population dynamics of epithelial-mesenchymal transition.NPJ systems biology and applications · 2025Article
- Low dimensionality of phenotypic space as an emergent property of coordinated teams in biological regulatory networks.iScience · 2025Article
- Augmenting flexibility: mutual inhibition between inhibitory neurons expands functional diversity.iScience · 2025Article
- Operating principles of interconnected feedback loops driving cell fate transitions.NPJ systems biology and applications · 2025Article
- Mutually exclusive teams-like patterns of gene regulation characterize phenotypic heterogeneity along the noradrenergic-mesenchymal axis in neuroblastoma.Cancer biology & therapy · 2024Article
- Endosomal pH is an evolutionarily conserved driver of phenotypic plasticity in colorectal cancer.NPJ systems biology and applications · 2024Article
- Multistability and predominant hybrid phenotypes in a four node mutually repressive network of Th1/Th2/Th17/Treg differentiation.NPJ systems biology and applications · 2024Article
- A Boolean model explains phenotypic plasticity changes underlying hepatic cancer stem cells emergence.NPJ systems biology and applications · 2024Article
- Increased prevalence of hybrid epithelial/mesenchymal state and enhanced phenotypic heterogeneity in basal breast cancer.iScience · 2024Article
- Article
- Review
- Data- and theory-driven approaches for understanding paths of epithelial-mesenchymal transition.Genesis (New York, N.Y. : 2000) · 2024Review
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Elucidating the design principles of regulatory networks driving cellular decision-making has fundamental implications in mapping and eventually controlling cell-fate decisions. Despite being complex, these regulatory networks often only give rise to a few phenotypes. Previously, we identified two 'teams' of nodes in a small cell lung cancer regulatory network that constrained the phenotypic repertoire and aligned strongly with the dominant phenotypes obtained from network simulations (Chauhan et al., 2021). However, it remained elusive whether these 'teams' exist in other networks, and how do they shape the phenotypic landscape. Here, we demonstrate that five different networks of varying sizes governing epithelial-mesenchymal plasticity comprised of two 'teams' of players - one comprised of canonical drivers of epithelial phenotype and the other containing the mesenchymal inducers. These 'teams' are specific to the topology of these regulatory networks and orchestrate a bimodal phenotypic landscape with the epithelial and mesenchymal phenotypes being more frequent and dynamically robust to perturbations, relative to the intermediary/hybrid epithelial/mesenchymal ones. Our analysis reveals that network topology alone can contain information about corresponding phenotypic distributions, thus obviating the need to simulate them. We propose 'teams' of nodes as a network design principle that can drive cell-fate canalization in diverse decision-making processes.
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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.