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A Systems Model of Signaling Identifies a Molecular Basis Set for Cytokine-Induced Apoptosis

Janes, Kevin A., Albeck, John G., Gaudet, Suzanne, Sorger, Peter K., Lauffenburger, Douglas A., Yaffe, Michael B.·2005·Science

Abstract

Signal transduction pathways control cellular responses to stimuli, but it is unclear how molecular information is processed as a network. We constructed a systems model of 7980 intracellular signaling events that directly links measurements to 1440 response outputs associated with apoptosis. The model accurately predicted multiple time-dependent apoptotic responses induced by a combination of the death-inducing cytokine tumor necrosis factor with the prosurvival factors epidermal growth factor and insulin. By capturing the role of unsuspected autocrine circuits activated by transforming growth factor–α and interleukin-1α, the model revealed new molecular mechanisms connecting signaling to apoptosis. The model derived two groupings of intracellular signals that constitute fundamental dimensions (molecular “basis axes”) within the apoptotic signaling network. Projection along these axes captures the entire measured apoptotic network, suggesting that cell survival is determined by signaling through this canonical basis set.

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Metadata

Authors
Janes, K. A., Albeck, J. G., Gaudet, S., Sorger, P. K., Lauffenburger, D. A., & Yaffe, M. B.
Venue
Science
Published
2005-12-09
Volume
310
Issue
5754
Pages
1646-1653
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W1989053944
Cited by
531
References
0
FWCI
15.79
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A Systems Model of Signaling Identifies a Molecular Basis Set for Cytokine-Induced Apoptosis. https://app.cochat.ai/papers/10.1126/science.1116598
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Janes, K. A., Albeck, J. G., Gaudet, S., Sorger, P. K., Lauffenburger, D. A., & Yaffe, M. B. (2005). A Systems Model of Signaling Identifies a Molecular Basis Set for Cytokine-Induced Apoptosis. Science. https://doi.org/10.1126/science.1116598

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.