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).
authors.affiliation: Simulation Group, Department of Management Science, Lancaster University, Lancaster LA1 4YX, UK. r.williams4@lancaster.ac.uk.
authors.forename: Richard A
authors.initials: RA
authors.lastname: Williams
authors.affiliation: Department of Electronics, University of York, Heslington, York YO10 5DD, UK. York Computational Immunology Laboratory, University of York, Heslington, York YO10 5DD, UK.
authors.forename: Jon
authors.initials: J
authors.lastname: Timmis
authors.affiliation: Department of Cardiovascular Science, Sheffield University Medical School, Sheffield S10 2RX, UK. Department of Pathology, University of Washington, Seattle, WA 98195, USA.
authors.forename: Eva E
authors.initials: EE
authors.lastname: Qwarnstrom
mesh_terms: D033942:Adaptor Proteins, Vesicular Transport / Q000378:metabolism*; D000818:Animals; D053594:Myeloid Differentiation Factor 88 / Q000378:metabolism*; D015398:Signal Transduction / Q000502:physiology*; D051197:Toll-Like Receptor 4 / Q000378:metabolism*
chemical_list: D033942:Adaptor Proteins, Vesicular Transport; D053594:Myeloid Differentiation Factor 88; D051197:Toll-Like Receptor 4