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. 2017 Nov 6;7:14517. doi: 10.1038/s41598-017-15160-8

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© The Author(s) 2017

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Transcriptomics profiling of HMCs treated with anti-dsDNA IgG antibodies. (A) (Left) Heat-map shows the expression correlation between group of samples and significantly upregulated or downregulated genes after anti-dsDNA IgG antibody induction (fold-change > 1.2 or < 1.2). (Right) Genes that were upregulated or downregulated significantly during anti-dsDNA IgG antibody stimulation are clustered based on their involvement in the same pathway (KEGG-pathway analysis). (B) The graphs show qPCR validation from selected candidate mRNAs according to microarray result and comparison of fold change expression in microarray and qPCR. The expressions were normalized using GAPDH. (C) The graph demonstrates the microarray results using functional annotation clustering and enrichment scores with adjusted P-value in the DAVID bioinformatics resources version 6.7 (https://david.ncifcrf.gov/tools.jsp). Microarray data were analysed using lumi R-bioconductor packages. Multiple corrections (FDR) were performed by the Bonferroni-Hochberg method. The p-values < 0.05 were considered significant. qPCR data are expressed as mean ± SEM of a minimum of three biological samples from three independent experiments. *P < 0.05, **P < 0.01, and ***P < 0.001 versus scramble controls.