The rise in computational systems biology approaches for understanding NF-κB signaling dynamics

Richard A. Williams; Jon Timmis; Eva E. Qwarnstrom

doi:10.1126/scisignal.aac6503

The rise in computational systems biology approaches for understanding NF-κB signaling dynamics

Richard A. Williams^*, Jon Timmis, Eva E. Qwarnstrom

^*Corresponding author for this work

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

A study by Cheng et al. in this issue of Science Signaling highlights the distinct single-cell signaling characteristics conferred by pathways mediated by the adaptor proteins MyD88 and TRIF in the TLR4-dependent activation of the transcription factor nuclear factor κB (NF-κB).

Original language	English
Article number	fs13
Journal	Science Signaling
Volume	8
Issue number	385
DOIs	https://doi.org/10.1126/scisignal.aac6503
Publication status	Published - 14 Jul 2015
Externally published	Yes

Keywords

Adaptor Proteins, Vesicular Transport/metabolism
Animals
Myeloid Differentiation Factor 88/metabolism
Signal Transduction/physiology
Toll-Like Receptor 4/metabolism

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title = "The rise in computational systems biology approaches for understanding NF-κB signaling dynamics",

abstract = "A study by Cheng et al. in this issue of Science Signaling highlights the distinct single-cell signaling characteristics conferred by pathways mediated by the adaptor proteins MyD88 and TRIF in the TLR4-dependent activation of the transcription factor nuclear factor κB (NF-κB).",

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KW - Toll-Like Receptor 4/metabolism

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The rise in computational systems biology approaches for understanding NF-κB signaling dynamics

Abstract

Keywords

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