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Global changes in gene expression and synergistic interactions induced by TLR9 and TLR3.

ABSTRACT: The innate immune system is triggered when pathogen-associated molecular patterns (PAMPs) expressed by infectious microorganisms interact with toll-like receptors (TLR) present on immune cells. Individual TLRs signal through distinct molecular pathways. For example, TLR9 interacts with unmethylated CpG motifs expressed by bacterial DNA and triggers via a MyD88 dependent pathway whereas TLR3 recognizes viral RNA through a MyD88-independent pathway. Bioinformatic analysis of microarray data was used to identify the regulatory patterns underlying changes in gene expression induced when RAW 264.7 macrophages were stimulated via TLR9 by CpG oligonucleotides (ODN) and/or via TLR3 by poly (I:C). While the genes activated by each ligand mediated similar functions, poly (I:C) elicited a larger and more diverse change in gene expression. Co-stimulation with both ligands accelerated gene expression and synergistically activated genes primarily associated with immune function. This is the first work to compare global changes in gene regulation triggered by distinct TLR pathways and clarify their impact on gene expression.

SUBMITTER: Tross D

PROVIDER: S-EPMC2713800 | biostudies-literature | 2009 Aug

REPOSITORIES: biostudies-literature

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Global changes in gene expression and synergistic interactions induced by TLR9 and TLR3.

Tross Debra D Petrenko Lev L Klaschik Sven S Zhu Qing Q Klinman Dennis M DM

Molecular immunology 20090616 13

The innate immune system is triggered when pathogen-associated molecular patterns (PAMPs) expressed by infectious microorganisms interact with toll-like receptors (TLR) present on immune cells. Individual TLRs signal through distinct molecular pathways. For example, TLR9 interacts with unmethylated CpG motifs expressed by bacterial DNA and triggers via a MyD88 dependent pathway whereas TLR3 recognizes viral RNA through a MyD88-independent pathway. Bioinformatic analysis of microarray data was us ...[more]

PMID: 19535142

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Project description:BackgroundTissue handling can alter global gene expression potentially affecting the analytical performance of genomic signatures, but such effects have not been systematically evaluated.MethodsTissue samples from 11 previously untreated breast tumors were minced and aliquots were either snap frozen or placed in RNAlater immediately or after 20, 40, 60, 120 or 180 min at room temperature. RNA was profiled on Affymetrix HG-U133A arrays. We used probe-set-wise hierarchical models to evaluate the effect of preservation method on transcript expression and linear mixed effects models to assess the effect of cold ischemic delay on the expression of individual probe sets. Gene set enrichment analysis identified pathways overrepresented in the affected transcripts. We combined the levels of 41 most sensitive transcripts to develop an index of ischemic stress.ResultsConcordance in global gene expression between the baseline and 40 min delay was higher for samples preserved in RNAlater (average concordance correlation coefficient CCC = 0.92 compared to 0.88 for snap frozen). Overall, 481 transcripts (3%) were significantly affected by the preservation method, most of them involved in processes important in cancer. Prolonged cold ischemic delay of up to 3 h induced marginal global gene expression changes (average CCC = 0.90 between baseline and 3 h delay). However 41 transcripts were significantly affected by cold ischemic delay. Among the induced transcripts were stress response genes, apoptotic response genes; among the downregulated were genes involved in metabolism, protein processing and cell cycle regulation. An index combining the expression levels of these genes was proportional to the cold ischemic delay.ConclusionsProlonged cold ischemia induces significant transcriptional changes in a small subset of transcripts in the tissue. Furthermore, the expression level of about 3% of the transcripts is affected by the preservation method. These sensitive transcripts should not be included in genomic signatures for more reliable analytical performance.

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Global changes in gene expression and synergistic interactions induced by TLR9 and TLR3.

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Global changes in gene expression and synergistic interactions induced by TLR9 and TLR3.

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