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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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KEGG pathway analysis and functional annotation clustering of predicted/validated target genes of candidate miRNA that differentially expressed in activated HMCs. (A) Pie charts show KEGG pathway analysis from integrative analysis between predicted/validated target genes of miR-10a/b, miR-30a, miR-654 and let-7a with anti-dsDNA IgG antibodies stimulation transcriptomic. (B) The graph represents gene functional annotation clustering of integrative analysis between candidate miRNA (miR-10a/b, miR-30a, miR-654 and let-7a) and microarray mRNA data using ingenuity pathway analysis (IPA, Qiagen) with negative correlation and high-to-medium confidence target prediction. The prediction criteria are based on TargetScan.