Bioinformatics analysis of the factors controlling type I IFN gene expression in autoimmune disease and virus-induced immunity

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Abstract

Patients with systemic lupus erythematosus (SLE) and Sjögren's syndrome (SS) display increased levels of type I interferon (IFN)-induced genes. Plasmacytoid dendritic cells (PDCs) are natural interferon producing cells and considered to be a primary source of IFN-α in these two diseases. Differential expression patterns of type I IFN-inducible transcripts can be found in different immune cell subsets and in patients with both active and inactive autoimmune disease. A type I IFN gene signature generally consists of three groups of IFN-induced genes - those regulated in response to virus-induced type I IFN, those regulated by the IFN-induced mitogen-activated protein kinase/extracellular-regulated kinase (MAPK/ERK) pathway, and those by the IFN-induced phosphoinositide-3 kinase (PI-3K) pathway. These three groups of type I IFN-regulated genes control important cellular processes such as apoptosis, survival, adhesion, and chemotaxis, that when dysregulated, contribute to autoimmunity. With the recent generation of large datasets in the public domain from next-generation sequencing and DNA microarray experiments, one can perform detailed analyses of cell-type specific gene signatures as well as identify distinct transcription factors (TFs) that differentially regulate these gene signatures. We have performed bioinformatics analysis of data in the public domain and experimental data from our lab to gain insight into the regulation of type I IFN gene expression. We have found that the genetic landscape of the IFNA and IFNB genes are occupied by TFs, such as insulators CTCF and cohesin, that negatively regulate transcription, as well as interferon regulatory factor (IRF)5 and IRF7, that positively and distinctly regulate IFNA subtypes. A detailed understanding of the factors controlling type I IFN gene transcription will significantly aid in the identification and development of new therapeutic strategies targeting the IFN pathway in autoimmune disease. © 2013 Feng and Barnes.

Figures

  • FIGURE 1 | H3K4me3 peaks and methylation tracks on the type I IFN gene cluster. Members of the type I IFN gene cluster are shown and illustrated proportionally according to Human (Homo sapiens) Genome hg19. H3K4me3 peaks and UCSC DNA methylation tracks are shown for a human B cell line.
  • FIGURE 2 | DNase I hypersensitivity sites in the type I IFN gene cluster are highly conserved between cell types. Members of the type I IFN gene cluster are shown and illustrated proportionally according to Human (Homo sapiens) genome hg19. Cell lines and cell types analyzed are listed on the left side. Short vertical lines below the gene track indicate the open chromatin
  • FIGURE 3 | H3K27me3 peaks on the type I IFN gene cluster. Members of the type I IFN gene cluster are shown and illustrated proportionally according to Human (Homo sapiens) Genome hg19. H3K27me3 peaks were found along the entire region of the IFN gene cluster in the human B cell line GM128.
  • FIGURE 4 | Differential occupancy for insulators CTCF and cohesin on the IFNA8 and IFNB genes. (A) The genomic regions of IFNA8 and IFNA1 are shown proportionally according to Human (Homo sapiens) Genome hg19. CTCF (blue circles) and cohesin (purple circles) occupancy positions are marked according to transcription factor ChIP-seq datasets from ENCODE. Orange squares indicate positions enriched with H3K4Me3 signals. (B) The
  • Table 1 | Results from computational pathway analysis of microarray data sets.
  • Table 2 | Results from the computational analysis of ENCODE next-generation sequencing data on the type I IFN gene cluster.
  • FIGURE 5 | Differential binding of IRF5 and IRF7 to the IFNA2 gene in human primary PDCs stimulated with virus. The genomic region of IFNA2 is shown with IRF5 and IRF7 ChIP-seq peaks plotted according to their enrichment positions. Briefly, human primary PDCs were stimulated with Herpes simplex virus (HSV) for 4 h and cells cross-linked and harvested for immunoprecipitations with anti-IRF5 or anti-IRF7 antibodies.

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Feng, D., & Barnes, B. J. (2013). Bioinformatics analysis of the factors controlling type I IFN gene expression in autoimmune disease and virus-induced immunity. Frontiers in Immunology, 4(SEP). https://doi.org/10.3389/fimmu.2013.00291

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