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ZFR coordinates crosstalk between RNA decay and transcription in innate immunity.

ABSTRACT: Control of type I interferon production is crucial to combat infection while preventing deleterious inflammatory responses, but the extent of the contribution of post-transcriptional mechanisms to innate immune regulation is unclear. Here, we show that human zinc finger RNA-binding protein (ZFR) represses the interferon response by regulating alternative pre-mRNA splicing. ZFR expression is tightly controlled during macrophage development; monocytes express truncated ZFR isoforms, while macrophages induce full-length ZFR to modulate macrophage-specific alternative splicing. Interferon-stimulated genes are constitutively activated by ZFR depletion, and immunostimulation results in hyper-induction of interferon ? (IFN?/IFNB1). Through whole-genome analyses, we show that ZFR controls interferon signaling by preventing aberrant splicing and nonsense-mediated decay of histone variant macroH2A1/H2AFY mRNAs. Together, our data suggest that regulation of ZFR in macrophage differentiation guards against aberrant interferon responses and reveal a network of mRNA processing and decay that shapes the transcriptional response to infection.

SUBMITTER: Haque N

PROVIDER: S-EPMC5861047 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature

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ZFR coordinates crosstalk between RNA decay and transcription in innate immunity.

Haque Nazmul N Ouda Ryota R Chen Chao C Ozato Keiko K Hogg J Robert JR

Nature communications 20180320 1

Control of type I interferon production is crucial to combat infection while preventing deleterious inflammatory responses, but the extent of the contribution of post-transcriptional mechanisms to innate immune regulation is unclear. Here, we show that human zinc finger RNA-binding protein (ZFR) represses the interferon response by regulating alternative pre-mRNA splicing. ZFR expression is tightly controlled during macrophage development; monocytes express truncated ZFR isoforms, while macropha ...[more]

PMID: 29559679

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Project description:The balance of the microbiome, which is sensitive to temperature changes, plays a crucial role in maintaining overall health and reducing the risk of diseases. However, the specific mechanisms by which immunity and microbiota interact to adapt to cold stress have yet to be addressed. In this study, Nanjiang Yellow goats were chosen as a model and sampled during the cold (winter, cold stress) and warm (spring) seasons, respectively. Analyses of serum immune factors, as well as the composition of rumen and fecal microbial communities, were conducted to explore the crosstalk between microbiota and innate immunity under cold stress. Significantly increased levels of IgA (P < 0.01) were observed in the cold season compared to the warm season. Conversely, the levels of IL-2 (P = 0.02) and IL-6 (P < 0.01) diminished under cold stress. However, no significant differences were observed in IgG (P = 0.89), IgM (P = 0.42), and IL-4 (P = 0.56). While there were no significant changes in the diversity of bacterial communities between the warm and cold seasons, positive correlations between serum IgA, IL-2, IL-6 concentrations and several genera were observed. Furthermore, the weighted gene co-expression network analysis indicated that the microbiota enriched in the MEbrown module positively correlated with IgA, while the microbiota enriched in the MEblue module positively correlated with IL-2 and IL-6. The strong correlation between certain probiotics, including Alistipes, Bacteroides, Blautia, and Prevotellaceae_UCG.004, and the concentration of IL-2, and IL-6 suggests their potential role in immunomodulatory properties. This study provides valuable insights into the crosstalk between microbial communities and immune responses under the challenge of cold stress. Further studies on the immunomodulatory properties of these probiotics would contribute to the development of strategies to enhance the stress resistance of animals for improved overall health and survival.

Project description:Methods: To better understand the role of OX40 in the regulation of monocyte activation and polarization, OX40/Fc- or control IgG-treated liver monocytes were compared in a transcriptome sequencing study. Total RNA was isolated from FACS-separated hepatic monocytes. Transcriptome sequencing libraries were generated using NEBNext® Ultra™ RNA Library Prep Kit for Illumina® (NEB, USA) following manufacturer’s recommendations and sequenced on an Illumina Hiseq platform (Illumina, San Diego, CA). Sequences were aligned to the reference genome with TopHat and processed with Cufflinks, which quantifies each transcript in each sample using reference annotations produced bythe University of California Santa Cruz UCSC. Differentially expressed genes with a fold change of >=2.0 and padj < 0.05 between OX40 treated and control monocytes were submitted to GO and KEGG enrichment analysis, which uses unbiased methods to assess pathway enrichment. Results: Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses revealed that upregulated genes from OX40-stimulated monocytes are involved in inflammatory response; cytokine production regulation; lipid, cytokine and bacteria responses; innate immune response; enhanced cellular response to cytokines and the cytokine-cytokine receptor interaction; and the phagosome and chemokine signaling pathway, among others. Compared to control monocytes, OX40/Fc-treated monocytes exhibited upregulated levels of cytokines (Tnf, Il1a, Il1b, Il6 and Il12a), cytokine receptors (Il1rl1, Il2r, Il18r and Il23r), chemokines (Ccl3, Ccl4, Ccl22, Cxcl1, Cxcl2, Cxcl10 and Cx3cl1), chemokine receptors ( Ccrl2, Cxcr5 and Cxcr6) and antigen processing and presentation molecules (Cd40, Cd80, Cd86, Tlr1, Tlr2, and Ox40l). The coordinated action of various inflammatory modulators, signaling molecules, and transcription factors, including Nlrp3, Tank, Jak2, Stat5a, Hif1a, Nos2, Socs3, Mir155hg and Pparg, was determined to be involved in the OX40 regulation of monocyte M1 polarization. MyD88, Irf3, Irf5, Stat1, Nod1 and Nod2 may not be involved in OX40-triggered monocyte M1 polarization.

Dataset Information

ZFR coordinates crosstalk between RNA decay and transcription in innate immunity.

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ZFR coordinates crosstalk between RNA decay and transcription in innate immunity.

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