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

Williams, Richard and Timmis, Jon and Qwarnstrom, Eva E. (2015) The rise in computational systems biology approaches for understanding NF-κB signaling dynamics. Science Signaling, 8 (385). ISSN 1945-0877

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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).

Item Type:
Journal Article
Journal or Publication Title:
Science Signaling
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/aacsb/disciplinebasedresearch
Subjects:
ID Code:
74747
Deposited By:
Deposited On:
29 Jul 2015 15:20
Refereed?:
Yes
Published?:
Published
Last Modified:
26 Sep 2020 03:24