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Identification of a Nuclear Factor Kappa B-dependent Gene Network

Department of Medicine and the Sealy Center for Molecular Sciences, The University of Texas Medical Branch, Galveston, Texas 77555-1060

Nuclear factor-kappa B (NF-B) is a highly inducible transcription factor that plays an important role in the hepatic acute-phase response, innate/adaptive immunity, and cellular survival through the induction of genetic networks. The major transcriptional-activating species Rel A-NF-B is a cytoplasmic complex whose nuclear translocation is controlled by its association with a family of inhibitory proteins, termed IBs. Activation of NF-B results in the targeted proteolysis of IB, releasing NF-B to enter the nucleus and bind to specific sequences in target promoters. Because the genomic actions of NF-B are influenced by the stimulus applied and the promoter context/chromatin structure in which it binds, the spectrum of NF-B-regulated genes has not been elucidated. We have begun to address this question, exploiting a tightly regulated cellular system expressing a nondegradable IB mutant that completely inhibits NF-B action. High-density oligonucleotide microarrays were used to identify genetic responses in response to complex biological stimuli (viral replication) in the presence and absence of NF-B. Using statistical and informatics tools, we identified two groups of NF-B-dependent genes with distinct expression profiles: 1) a group with high constitutive expression whose expression levels fall in response to viral exposure and constitutive mRNA expression increases from NF-B blockade, and 2) a group where constitutive expression was very low (or undetectable) and, after stimulation, expression levels strongly increased. In this group, NF-B blockade inhibited the viral induction of genes. This latter cluster includes chemokines, transcriptional regulators, intracellular proteins regulating translation and proteolysis, and secreted proteins (e.g., complement components, growth factor regulators). These data reveal complexity in the genetic response to NF-B and serve as a foundation for further informatics analysis to identify genetic features common to up- and downregulated NF-B-dependent promoters.

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