The segment polarity network is a robust developmental module

By G. Dassow, E. Meir, E. Munro, G. Odell. Nature, 2000

1,205 citations recorded by the source corpus.

Subfields: Molecular Biology, Plant Science

View Paper: https://www.semanticscholar.org/paper/8e3112c50868cd521b248825a2b297e4133d688c

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Citations in the corpus

Design principles of a bacterial signalling network (2005, background): “To arrive at equation (5) we have performed a linear expansion around fixed values for the remaining protein concentrations.”
Input–output behavior of ErbB signaling pathways as revealed by a mass action model trained against dynamic data (2009, background): “One interpretation of this ﬁnding is that biological networks are so robust to changes in rate constants and protein concentrations (von Dassow et al , 2000) that parametric uncertainty is not a signiﬁcant issue: key physiological behaviors, in this view, are determined primarily by pathway…”
Quantifying absolute protein synthesis rates reveals principles underlying allocation of cellular resources. (2014, background): “The architectures of several signaling and metabolic pathways have been shown to be robust against variation in protein levels through posttranslational feedback (Alon et al., 1999; Barkai and Shilo, 2007; Batchelor and Goulian, 2003; Hart et al., 2011; Shinar et al., 2007; von Dassow et al., 2000).”
Scar-free healing: from embryonic mechanisms to adult therapeutic intervention. (2004, background): “We believe that the explanation for this lies in understanding the robust basis of genetic signalling networks and the generation of variation ( Von Dassow et al. 2000; Meir et al. 2002; Rockman & Wray 2002; Von Dassow & Odell 2002).”
Integrative analysis of cell cycle control in budding yeast. (2004, methodology): “Perhaps there are missing components or interactions that prevent the model from fitting the data; for example, see von Dassow et al. (2000).”
Phenotypic Variability: Its Components, Measurement and Underlying Developmental Processes (2007, methodology): “The robust nature of complex genetic networks has been demonstrated theoretically using several computer models (Wagner 1996; von Dassow et al. 2000; Siegal and Bergman 2002; Hermisson et al. 2003, Hermisson and Wagner 2004; Huerta-Sanchez and Durrett 2007).”
Generating Realistic In Silico Gene Networks for Performance Assessment of Reverse Engineering Methods (2009, background): “Indeed, the performance of reverse engineering methods can be very sensitive to the type of network structure that they are applied to (Rice et al., 2005; Wildenhain and Crampin, 2006; Mukherjee and Speed, 2008).”
Validation of qualitative models of genetic regulatory networks by model checking: analysis of the nutritional stress response in Escherichia coli (2005, neutral): “1672–1682. Koch,I., Junker,B.H. and Heiner,M. (2005) Application of Petri net theory for modelling and validation of the sucrose breakdown pathway in the potato tuber.”