Robustness of Cellular Functions

By Jo¨rg Stelling, Uwe Sauer, Zoltan Szallasi, Francis J. Doyle, John C. Doyle. Cell, 2004

1,079 citations recorded by the source corpus.

Subfields: Biophysics, Modeling and Simulation, Molecular Biology

View Paper: https://www.semanticscholar.org/paper/e2c963e3f41f0470789ae46808f0f0f0c02ffff8

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Citations in the corpus

Fast automated reconstruction of genome-scale metabolic models for microbial species and communities (2018, positive): “This result is most likely a reflection of the robustness of cellular function to perturbations in the network structure during evolution (52,53).”
Synergistic drug combinations improve therapeutic selectivity (2009, neutral): “This requires precise target modulation, which can be thwarted by the compensatory mechanisms available to complex biological system”
The Hippo Signaling Pathway in Development and Cancer (2010, positive): “Feedback regulation of upstream pathway components appears to be a common feature of many signaling pathways, which has been suggested to play important roles in maintaining steady-state levels of signaling strength (reviewed in Stelling et al., 2004).”
Cell Types, Network Homeostasis, and Pathological Compensation from a Biologically Plausible Ion Channel Expression Model (2014, positive): “Biological systems thus need robust solutions to this problem (Morohashi et al., 2002; Stelling et al., 2004).”
Cell-signalling dynamics in time and space (2006, positive): “Whereas positive feedback endows signalling cascades with the potential for bistability and relaxation oscillations, negative feedback can cause adaptation and robustness to parameter variations within the feedback loop (for instance, caused by genetic variability) 20,70 .”
A Logical Model Provides Insights into T Cell Receptor Signaling (2007, neutral): “By considering a failure as something that happens to the cell by an internal or external event (e.g., a mutation), we may assess the robustness —one of the most important properties of living systems [47]—of the network.”
EGF–ERBB signalling: towards the systems level (2006, positive): “Many lessons on the organization of the network have been learnt from its evolutionary history ( Box 1 ); the vertebrate ERBB family evolved from a single ligand–receptor pair in worms through the duplication of ligands and receptors, while the robustness of the developing network was enhanced by us”
Homeostatic control of neural activity: from phenomenology to molecular design. (2006, neutral): “…to the ability of a signaling system to function reliably despite variation in the concentration or functionality of the individual components that make up the signaling system (Barkai & Leibler 1997, Alon et al. 1999, El Yi et al. 2000, Eldar et al. 2004, Stelling et al. 2004, Samad et al. 2005).”
Towards a theory of biological robustness (2007, positive): “…mechanisms that give rise to robustness in living systems (Savageau, 1985a, b, 1998; Barkai and Leibler, 1997; Alon et al, 1999; von Dassow et al, 2000; Bhalla and Iyengar, 2001; Csete and Doyle, 2002, 2004; Kitano et al, 2004, 2004a, b; Stelling et al, 2004; Kitano and Oda, 2006; Kitano, 2007a).”
Dynamic Properties of Network Motifs Contribute to Biological Network Organization (2005, positive): “However, one can try to address these fundamental challenges by taking advantage of the widely acknowledged notion that biological systems perform various functions robustly, i.e., under wide ranges of their parameters [21].”