Shape-dependent control of cell growth, differentiation, and apoptosis: switching between attractors in cell regulatory networks.

By Sui Huang, Donald E. Ingber. Experimental Cell Research, 2000

629 citations recorded by the source corpus.

Subfields: Biophysics, Cell Biology, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/59317ad5a0d3e57d81d376b26651200c884669e4

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Citations in the corpus

Boolean Dynamics with Random Couplings (2002, methodology): “1 Genetic networks and cell differentiation N -K models have been widely used in the modeling of gene regulation and control (Somogyi and Sniegoski [1996]; De Sales, Martins, and Stariolo [1997]; Kauffman [1993]; Huang and Ingber [2000]).”
Discrete logic modelling as a means to link protein signalling networks with functional analysis of mammalian signal transduction (2009, methodology): “Boolean modelling has previously been applied to biological regulatory and signalling networks (Kauffman, 1969; Thomas and D’Ari, 1990; Huang and Ingber, 2000; Thomas and Kaufman, 2001; de Jong, 2002; Chaves et al, 2005; Fauré et al, 2006; Fisher and Henzinger, 2007; Gupta et al, 2007; Saez-Rodrigue”
Logic-Based Models for the Analysis of Cell Signaling Networks (2010, background): “Boolean discrete time steps binary (13, 15-17, 19, 24, 25, 33); (20, 42, 43, 51, 52)”
A Linear Representation of Dynamics of Boolean Networks (2010, methodology): “As J = K = D = 1, both [18] and [13] showed that there exists the cycle.”
From genomics to proteomics (2003, positive): “If modelling of simple Boolean networks is a guide, the systems-level behaviour of bona fide protein interaction networks is sure to yield some surprise”
Stability and stabilization of Boolean networks (2011, background): “So far, there are only few results because we are short of systematic tool to deal with logical dynamic systems [3, 4].”
Boolean dynamics of networks with scale-free topology (2003, background): “Analogously, both the fibroblast growth factor (FGF) activation and the platelet-derived growth factor (PDGF) activation in mammalian cells, result in the cascade activation of over 60 other genes [13].”
From Boolean to probabilistic Boolean networks as models of genetic regulatory networks (2002, background): “Computational models that reveal these logical interrelations have since then been successfully constructed [23]–[26].”
Tensegrity II. How structural networks influence cellular information processing networks (2003, background): “Sui Huang in my group, therefore, explored the possibility that cell fates can be viewed as ‘cellular states’ and that the switches between these states may represent biological phase transitions (Huang, 1999; Huang and Ingber, 2000).”
Comparison of quantitative methods for cell‐shape analysis (2007, background): “Some simulations even suggest that cell shape may play a role in regulating these processes (Huang & Ingber, 2000).”