Gene expression profile of human antigen presenting cells with a tolerogenic phenotype
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE98480 | GEO | 2017/05/03
SECONDARY ACCESSION(S): PRJNA385188
REPOSITORIES: GEO
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Project description:The ability to model WM B-cell differentiation using an in vitro system was validated in comparison to healthy cells. The stimuli used initially were CD40L and F(ab’)2 anti-IgG/M, a combination which mimics T-cell dependent activation. Using these conditions, WM B-cells generated mature plasma cells that closely resemble those from healthy controls. Since WM cells harbour the characteristic gain-of-function MYD88L265P mutation, it was also of interest to determine the impact of TLR signals on the differentiation process. In contrast to the expectation of enhanced survival, WM cells exhibited a profoundly deleterious response to R848 + F(ab’)2 anti-IgG/M stimulation, with a sharp decline in population from the initiation of culture and a failure to generate plasma cells. RNA sequencing was performed on material harvested from differentiating cells at day 6 of culture within the in vitro system to assess the underlying gene expression changes that accompanied the two types of stimulation. The samples consisted of 3 healthy controls with matched samples for both CD40L and R848 stimulation and a total of 6 WM samples. Examination of the transcriptomes revealed that WM plasmablasts exhibit elevated expression levels of genes associated with TLR and NF-κB signaling, but reduced levels of genes associated with plasma cell re-programming. This is particularly pronounced in cells treated with the TLR7 agonist R848, suggesting an uncoupling of TLR signaling from plasma cell differentiation in WM.
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Project description:Human monocyte-derived dendritic cells (moDCs) have been used as an in vitro model for studying tolerance and immunity. However, the underlying metabolic states of tolerogenic (dexamethasone and vitamin D3-treated), immature and immunogenic (mature, LPS-treated) moDCs have not been completely characterized. Through transcriptomic analyses, we determined that tolerogenic moDCs exhibit augmented catabolic pathways with respect to oxidative phosphorylation (OXPHOS), fatty acid oxidation (FAO) and glycolysis. Functionally, tolerogenic moDCs showed the highest mitochondrial membrane potential, production of reactive oxygen species and superoxide, and increased mitochondrial spare respiratory capacity. Tolerogenic and mature moDCs manifested differential FAO gene expression with FAO activity being significantly higher in tolerogenic and immature moDCs than in mature. In addition, tolerogenic and mature moDCs demonstrated similar levels of glycolytic rate, but not glycolytic capacity and reserve, which were more pronounced in tolerogenic and immature moDCs. Finally, tolerogenic and immature moDCs, but not mature moDCs, showed high plasticity to compensate the intracellular ATP content after inhibition of different energetic metabolic pathways. Overall, tolerogenic moDCs exhibit a metabolic signature of increased, stable OXPHOS programing and high plasticity for metabolic adaptation. These findings provide a framework for future research of metabolic properties of human DCs. Total RNA of sixteen samples from four moDC types (tolerogenic, LPS-tolerogenic, immature and mature) were extracted by Trizol (Invitrogen) followed by a clean-up procedure using RNeasy Micro Kit (Qiagen). All RNA samples had an integrity number ≥9.6 assessed by Agilent Bioanalyzer. Total RNA samples were amplified using TargetAmp™ and the biotinilated cRNA was prepared by Nano-g™ Biotin-aRNA Labeling Kit for the Illumina® System (Epicentre). After the hybridization to the Illumina Human HT-12 v4 Beadchips for 17 h at 58°C, the arrays were washed, stained (Illumina Wash Protocol) and then scanned using BeadArray Scanner 500GX. Array data were extracted at the probe level without background correction using Illumina GenomeStudio software. These raw data were quantile normalized and log2 transformed. Technical replicates were obtained from the hybridization in duplicate of three samples. Pearson correlation analysis showed high correlation between the technical replicates (r>0.99). Differentially expressed genes (DEGs) were identified using Limma16 with Benjamini-Hochberg multiple testing correction (p<0.05). DEGs were further clustered into different groups according to the patterns of expression change among the different moDC types using STEM software17. The analysis was performed in R v.2.12.2 (http://www.R-project.org) with Bioconductor 2.12 (http://www.bioconductor.org) and enabled by Pipeline Pilot (www.accelrys.com).
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