ReviewPhysical biology2019
Towards control of cellular decision-making networks in the epithelial-to-mesenchymal transition.
Review in Physical biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 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
30 citing papers in PubMed, 55 citations in OpenAlex.
- Review
- A Boolean network model of hypoxia, mechanosensing and TGF-β signaling captures the role of phenotypic plasticity and mutations in tumor metastasis.PLoS computational biology · 2025Article
- New insights into Notch signaling as a crucial pathway of pancreatic cancer stem cell behavior by chrysin-polylactic acid-based nanocomposite.Discover oncology · 2025Review
- A Boolean model explains phenotypic plasticity changes underlying hepatic cancer stem cells emergence.NPJ systems biology and applications · 2024Article
- Benchmarking of protein interaction databases for integration with manually reconstructed signalling network models.The Journal of physiology · 2024Article
- MaxCal can infer models from coupled stochastic trajectories of gene expression and cell division.Biophysical journal · 2023Article
- Boolean modeling of mechanosensitive epithelial to mesenchymal transition and its reversal.iScience · 2023Article
- An in vitro culture platform for studying the effect of collective cell migration on spatial self-organization within induced pluripotent stem cell colonies.Journal of biological engineering · 2023Article
- Network motifs and hypermotifs in TGFβ-induced epithelial to mesenchymal transition and metastasis.Frontiers in systems biology · 2023Article
- NETISCE: a network-based tool for cell fate reprogramming.NPJ systems biology and applications · 2022Article
- Transcriptional and post-transcriptional control of epithelial-mesenchymal plasticity: why so many regulators?Cellular and molecular life sciences : CMLS · 2022Review
- The identifiability of gene regulatory networks: the role of observation data.Journal of biological physics · 2022Article
- Review
- Gene-circuit therapy on the horizon: synthetic biology tools for engineered therapeutics.Acta biochimica Polonica · 2021Review
- Immunofluorescence Image Feature Analysis and Phenotype Scoring Pipeline for Distinguishing Epithelial-Mesenchymal Transition.Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada · 2021Article
- Reliably Engineering and Controlling Stable Optogenetic Gene Circuits in Mammalian Cells.Journal of visualized experiments : JoVE · 2021Article
- Concomitant attenuation of HMGCR expression and activity enhances the growth inhibitory effect of atorvastatin on TGF-β-treated epithelial cancer cells.Scientific reports · 2021Article
- In Silico Logical Modelling to Uncover Cooperative Interactions in Cancer.International journal of molecular sciences · 2021Review
- Mathematical modeling of the Candida albicans yeast to hyphal transition reveals novel control strategies.PLoS computational biology · 2021Article
- WebMaBoSS: A Web Interface for Simulating Boolean Models Stochastically.Frontiers in molecular biosciences · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 5 institutions in 1 country.
Funding
Abstract
We present the epithelial-to-mesenchymal transition (EMT) from two perspectives: experimental/technological and theoretical. We review the state of the current understanding of the regulatory networks that underlie EMT in three physiological contexts: embryonic development, wound healing, and metastasis. We describe the existing experimental systems and manipulations used to better understand the molecular participants and factors that influence EMT and metastasis. We review the mathematical models of the regulatory networks involved in EMT, with a particular emphasis on the network motifs (such as coupled feedback loops) that can generate intermediate hybrid states between the epithelial and mesenchymal states. Ultimately, the understanding gained about these networks should be translated into methods to control phenotypic outcomes, especially in the context of cancer therapeutic strategies. We present emerging theories of how to drive the dynamics of a network toward a desired dynamical attractor (e.g. an epithelial cell state) and emerging synthetic biology technologies to monitor and control the state of cells.
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.