Total RNA was isolated from the macrophages prepared from three different healthy donors using the PureLink™ RNA Mini Kit (Ambion). Total RNA was quantified using an ND1000 NaNo Drop spectrophotometer, and 100 ng were reversed transcribed using the QuantiTect Reverse Transcription Kit (Qiagen) with additional genomic DNA elimination step indicated in the manufacturer’s instructions. For quantitative polymerase chain reaction (qPCR), the cDNA samples were diluted 1:3 in 10 mM Tris–HCl, pH 8.0 and amplified using the LightCycler 480 SYBR Green I Master mix (Roche) in an Eco Real-Time PCR System (Illumina), using primer sets shown in Table 1. Data were normalized to total RNA in each reaction. For qPCR array, RNA from three different donors was analyzed using the Human Epigenetic Chromatin Modification Enzymes RT2 Profiler PCR Array (Qiagen) according to the manufacturer’s protocol. Briefly, total RNA (400 ng, genomic DNA eliminated) was reverse transcribed using RT2 First Strand Kit (Qiagen) and diluted in RNase-free water. The amplification reaction was conducted in 384 well format in a Roche LightCycler 480 (95°C 10 min for one cycle followed by 95°C 15 s and 60°C 1 min for 45 cycles). Threshold cycle (CT) values were exported and analyzed using web based SABiosciences PCR Array Data Analysis Software.1 A panel of five housekeeping genes integral to the array were used to calculate for each probe ΔCT = (CT probe − CT average of housekeeping genes). The values of ΔΔCT = ΔCT experimental sample − ΔCT control were calculated for each probe and converted to fold changes = (2(−ΔΔCT)). For transcriptomic analysis, purified RNA samples from four different donors were submitted to the Illumina Gene Expression ServiceXS (Leiden, Netherlands) and were processed for analysis on the Illumina HumanHT-12 v4 microarray as described in detail.2 The results were deposited under number GSE83957. Fold changes and statistics (multiple testing corrections) of generated raw data were performed using GeneSpring (Agilent Technologies). Venn Diagrams were generated by using web-based software.3 Gene ontology enrichment (GOE) and KEGG pathway analysis were performed using the DAVID public database.4