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An immune response can be activated by pathogenic stimuli, as well as endogenous danger signals, triggering the activation of pattern recognition receptors and initiating signalling cascades that lead to inflammation. This method uses THP1-BlueTM cells, a human monocytic cell line which contains an embryonic alkaline phosphatase reporter gene allowing the detection of NF-κB-induced transcriptional activation. We validated this protocol by assessing NF-κB activation after stimulation of toll-like receptor 4 (TLR4) by two different agonists: lipopolysaccharide (LPS), derived from the cell wall of Gram negative bacteria, and tenascin-C, an extracellular matrix protein whose expression is induced upon tissue injury. We then used this protocol to screen for potential new endogenous TLR4 agonists, but this method can also be used as a quick, economical and reliable means to assay the activity of other inflammatory stimuli resulting in TLR-dependent NF-κB activation.
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[Abstract] An immune response can be activated by pathogenic stimuli, as well as endogenous danger signals, triggering the activation of pattern recognition receptors and initiating signalling cascades that lead to inflammation. This method uses THP1-BlueTM cells, a human monocytic cell line which contains an embryonic alkaline phosphatase reporter gene allowing the detection of NF-κB-induced transcriptional activation. We validated this protocol by assessing NF-κB activation after stimulation of toll-like receptor 4 (TLR4) by two different agonists: lipopolysaccharide (LPS), derived from the cell wall of Gram negative bacteria, and tenascin-C, an extracellular matrix protein whose expression is induced upon tissue injury. We then used this protocol to screen for potential new endogenous TLR4 agonists, but this method can also be used as a quick, economical and reliable means to assay the activity of other inflammatory stimuli resulting in TLR-dependent NF-κB activation.
Keywords: Innate immunity, TLR4, Tenascin-C, LPS, THP1-BlueTM cells, NF-κB reporter
[Background] The immune system has evolved to recognize not only pathogenic stimuli such as bacterial components and viral nucleic acids, but also endogenous danger signals including proteins secreted from necrotic cells or expressed upon tissue damage. Both types of stimuli are sensed by pattern recognition receptors, initiating signalling cascades that trigger inflammatory responses. Nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) is a transcription factor essential for the activation of the immune response to infection and tissue damage. NF-κB has an important role in the expression of a wide range of inflammatory mediators following pattern recognition receptor activation, including cytokines (such as tumour necrosis factor α [TNFα], interleukin-6 and interleukin-1), chemokines (e.g., interleukin-8 or CXCL1), proteases, growth factors and MHC-related molecules, among others. To assess the activation of this pathway downstream of TLR4, we used the commercially available cell line THP1-BlueTM NF-κB (Invivogen). These cells are stably transfected with a construct containing a secreted embryonic alkaline phosphatase (SEAP) gene induced by the NF-κB transcription factor. The construct contains an interferon-β minimal promoter fused to five copies of the NF-κB consensus transcriptional response element and three copies of the c-Rel binding site, which drives the expression of the reporter gene. After cell stimulation with pathogenic or endogenous stimuli, NF-κB activation leads to the secretion of SEAP, which is then quantified using the colorimetric reagent QUANTI-BlueTM. This is a quick and reliable method to assess activation of NF-κB downstream of toll-like receptors, as the amount of SEAP in the media correlates with the triggering of this signalling pathway. However, this is an engineered cell line that does not express a full complement of inflammatory effector molecules (see Note 5), and so whilst useful in screening for NF-κB activation, data should always be confirmed in additional experimental systems, for example in primary macrophages, or in vivo.
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Data analysis
For each stimulus, plot the mean of OD values ± standard error of the mean (SEM), in the case of multiple independent experiments (Figure 2), or the mean of OD values ± standard deviation (SD), in the case of single experiments. The data can also be represented as fold change difference compared to non-stimulated cells. Perform statistical analysis using Graph Pad Prism or other software. Figure 2. NF-κB activation by LPS or the FBG domain of tenascin-C (FBG-C) in THP1-BlueTM NF-κB cells. Cells were stimulated with different doses of LPS or FBG-C or left unstimulated (-) and after 24 h NF-κB activation was measured using QUANTI-BlueTM. Data shown as mean ± SEM, N = 3 independent experiments. One-way ANOVA vs. non-stimulated with Dunnett’s post hoc test, *P < 0.05, **P < 0.01, ***P < 0.001. Statistical analysis was performed using Graph Pad Prism.
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Acknowledgments
We thank Anna Marzeda for providing the image used in Figure 1. This work was supported by funding from Arthritis Research UK and the Kennedy Trust for Rheumatology Research. This protocol was first published in Piccinini et al. (2016) and also features in the following manuscript currently under review (Zuliani-Alvarez et al., 2017). The authors declare that they have no conflicts of interest or competing interests that impacted the design and implementation of this protocol.
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