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Noise-driven cell differentiation and the emergence of spatiotemporal patterns
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Stochasticity in Transcriptional Regulation: Origins, Consequences, and Mathematical Representations
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Construction of a genetic toggle switch in Escherichia coli
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MAPK-mediated bimodal gene expression and adaptive gradient sensing in yeast
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Transcriptome-wide noise controls lineage choice in mammalian progenitor cells
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Non-genetic heterogeneity from stochastic partitioning at cell division
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Stem cells, asymmetric division and cancer
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Genetic drift, selection and the evolution of the mutation rate
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Biological role of noise encoded in a genetic network motif
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ENZYME INDUCTION AS AN ALL-OR-NONE PHENOMENON
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Beyond society: the evolution of organismality
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BacSim, a simulator for individual-based modelling of bacterial colony growth
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Individual-based modelling of biofilms
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Epigenetic gene expression noise and phenotypic diversification of clonal cell populations
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A framework for multidimensional modelling of activity and structure of multispecies biofilms
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The sociobiology of biofilms
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Stochastic Gene Expression in a Single Cell
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Noise in Gene Expression Determines Cell Fate in Bacillus subtilis
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Genetic Determinants and Cellular Constraints in Noisy Gene Expression
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Particle-Based Multidimensional Multispecies Biofilm Model
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Division of Labor in Biofilms: the Ecology of Cell Differentiation
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Increased robustness of early embryogenesis through collective decision-making by key transcription factors
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Contribution of Stochastic Partitioning at Human Embryonic Stem Cell Division to NANOG Heterogeneity
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Asymmetric division triggers cell-specific gene expression through coupled capture and stabilization of a phosphatase
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inferred← citeshttps://doi.org/10.1371/journal.pone.0236519openalex-snapshot
A computational model of stem cell molecular mechanism to maintain tissue homeostasis
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