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. 2022 Dec 9;2(1):pgac290. doi: 10.1093/pnasnexus/pgac290

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© The Author(s) 2022. Published by Oxford University Press on behalf of the National Academy of Sciences.

This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com

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Fig. 3. — Pathway analysis of TCDD-regulated miRs and their association with functional networks. (A) LDA of miRs in the TCDD group. TCDD group included miR profiles from TCDD-treated F0, F1, and F2 generations. LDA analysis, which was set at a threshold of 2.0 led to the identification of 31 miRs as possible biomarkers, unique to the TCDD group. (B) TCDD-mediated changes in miRs by 1.5-fold or higher were analyzed using IPA software and their database. The bars in the graph demonstrate various pathways regulated by TCDD-induced miRs. The –log (P-value) on Y-axis represents the significance of function by random chance (IPA software, Qiagen Inc.). (C) Showing miRs involved in a pathway with various functions. Pink color represents upregulated mature miRs and green color represents downregulated miRs in TCDD vs VEH-treated groups.