In silico identification of NF-kappaB-regulated genes in pancreatic beta-cells
Autor: | Jacques van Helden, Decio L. Eizirik, Najib Naamane |
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Přispěvatelé: | Laboratoire de Bioinformatique des Génomes et des Réseaux (BiGRe), Université libre de Bruxelles (ULB), European Project: SFRH/BPD/38218/2007,FCT::Pós-Doutoramento,SFRH/2007,SFRH/BPD/38218/2007(2008) |
Jazyk: | angličtina |
Rok vydání: | 2007 |
Předmět: |
[SDV]Life Sciences [q-bio]
Gene regulatory network Oligonucleotide Array Sequence Analysis -- methods Biochemistry Gene Expression Regulation -- physiology Mice Structural Biology Insulin-Secreting Cells Gene Expression Profiling -- methods NF-kappa B -- metabolism T1DM NF-kappaB lcsh:QH301-705.5 Oligonucleotide Array Sequence Analysis Regulation of gene expression Genetics 0303 health sciences Applied Mathematics 030302 biochemistry & molecular biology NF-kappa B Discriminant Analysis Sciences bio-médicales et agricoles Computer Science Applications Cytokines -- metabolism Cytokines lcsh:R858-859.7 DNA microarray Algorithms Signal Transduction Research Article Pan troglodytes Cytokine gene signatures In silico Biology lcsh:Computer applications to medicine. Medical informatics Models Biological 03 medical and health sciences Animals Humans Signal Transduction -- physiology Molecular Biology Gene Transcription factor 030304 developmental biology Gene Expression Profiling Pancreatic beta-cells NFKB1 Rats Gene expression profiling Gene Expression Regulation lcsh:Biology (General) Insulin-Secreting Cells -- metabolism [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM] |
Zdroj: | BMC Bioinformatics BMC Bioinformatics, BioMed Central, 2007, 8 (1), pp.55. ⟨10.1186/1471-2105-8-55⟩ BMC Bioinformatics, Vol 8, Iss 1, p 55 (2007) BMC bioinformatics, 8 |
ISSN: | 1471-2105 |
DOI: | 10.1186/1471-2105-8-55⟩ |
Popis: | BACKGROUND: Pancreatic beta-cells are the target of an autoimmune attack in type 1 diabetes mellitus (T1DM). This is mediated in part by cytokines, such as interleukin (IL)-1beta and interferon (IFN)-gamma. These cytokines modify the expression of hundreds of genes, leading to beta-cell dysfunction and death by apoptosis. Several of these cytokine-induced genes are potentially regulated by the IL-1beta-activated transcription factor (TF) nuclear factor (NF)-kappaB, and previous studies by our group have shown that cytokine-induced NF-kappaB activation is pro-apoptotic in beta-cells. To identify NF-kappaB-regulated gene networks in beta-cells we presently used a discriminant analysis-based approach to predict NF-kappaB responding genes on the basis of putative regulatory elements. RESULTS: The performance of linear and quadratic discriminant analysis (LDA, QDA) in identifying NF-kappaB-responding genes was examined on a dataset of 240 positive and negative examples of NF-kappaB regulation, using stratified cross-validation with an internal leave-one-out cross-validation (LOOCV) loop for automated feature selection and noise reduction. LDA performed slightly better than QDA, achieving 61% sensitivity, 91% specificity and 87% positive predictive value, and allowing the identification of 231, 251 and 580 NF-kappaB putative target genes in insulin-producing INS-1E cells, primary rat beta-cells and human pancreatic islets, respectively. Predicted NF-kappaB targets had a significant enrichment in genes regulated by cytokines (IL-1beta or IL-1beta + IFN-gamma) and double stranded RNA (dsRNA), as compared to genes not regulated by these NF-kappaB-dependent stimuli. We increased the confidence of the predictions by selecting only evolutionary stable genes, i.e. genes with homologs predicted as NF-kappaB targets in rat, mouse, human and chimpanzee. CONCLUSION: The present in silico analysis allowed us to identify novel regulatory targets of NF-kappaB using a supervised classification method based on putative binding motifs. This provides new insights into the gene networks regulating cytokine-induced beta-cell dysfunction and death. Journal Article Research Support, Non-U.S. Gov't info:eu-repo/semantics/published |
Databáze: | OpenAIRE |
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