Quantifying Waddington landscapes and paths of non-adiabatic cell fate decisions for differentiation, reprogramming and transdifferentiation.
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Systems Biology Approach to Model the Life Cycle of Trypanosoma cruziStem cell differentiation as a many-body problemEngineering of a synthetic quadrastable gene network to approach Waddington landscape and cell fate determination.Quantifying the underlying landscape and paths of cancerExploring the mechanisms of differentiation, dedifferentiation, reprogramming and transdifferentiationIncreased robustness of early embryogenesis through collective decision-making by key transcription factorsPluripotency, Differentiation, and Reprogramming: A Gene Expression Dynamics Model with Epigenetic Feedback Regulation.Jagged mediates differences in normal and tumor angiogenesis by affecting tip-stalk fate decision.A physical mechanism of cancer heterogeneityEpigenetic state network approach for describing cell phenotypic transitions.Effects of Collective Histone State Dynamics on Epigenetic Landscape and Kinetics of Cell ReprogrammingDNA-Binding Kinetics Determines the Mechanism of Noise-Induced Switching in Gene NetworksMultivariate moment closure techniques for stochastic kinetic models.Landscape of gene networks for random parameter perturbation.Identifying the optimal anticancer targets from the landscape of a cancer-immunity interaction network.Uncovering the underlying mechanism of cancer tumorigenesis and development under an immune microenvironment from global quantification of the landscape.A stochastic and dynamical view of pluripotency in mouse embryonic stem cells.Mesenchymal stem cells over-expressing cxcl12 enhance the radioresistance of the small intestine.Multiple coupled landscapes and non-adiabatic dynamics with applications to self-activating genes.Landscape reveals critical network structures for sharpening gene expression boundaries.A landscape view on the interplay between EMT and cancer metastasisLandscape and flux theory of non-equilibrium dynamical systems with application to biologyTransition state characteristics during cell differentiationRare-event sampling of epigenetic landscapes and phenotype transitions
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P2860
Quantifying Waddington landscapes and paths of non-adiabatic cell fate decisions for differentiation, reprogramming and transdifferentiation.
description
article científic
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article scientifique
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articolo scientifico
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artigo científico
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bilimsel makale
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scientific article published on 16 October 2013
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vedecký článok
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vetenskaplig artikel
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videnskabelig artikel
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vědecký článek
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name
Quantifying Waddington landsca ...... ming and transdifferentiation.
@en
Quantifying Waddington landsca ...... ming and transdifferentiation.
@nl
type
label
Quantifying Waddington landsca ...... ming and transdifferentiation.
@en
Quantifying Waddington landsca ...... ming and transdifferentiation.
@nl
prefLabel
Quantifying Waddington landsca ...... ming and transdifferentiation.
@en
Quantifying Waddington landsca ...... ming and transdifferentiation.
@nl
P2860
P356
P1476
Quantifying Waddington landsca ...... ming and transdifferentiation.
@en
P2093
P2860
P304
P356
10.1098/RSIF.2013.0787
P50
P577
2013-10-16T00:00:00Z