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. 2022 Apr 4;23:262. doi: 10.1186/s12864-022-08463-2

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© The Author(s) 2022

Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 8 — Ingenuity pathway core analysis (IPA) of incubated control (C2) and SPIDES (SR) groups. Ingenuity® Pathway Analysis (Qiagen, Valencia, CA) was used to analyze differentially expressed genes (DEGs) to biologically interpret expression data. Copyright permission from Qiagen has been obtained for use of the images presented. (A) The top network obtained through pathway analysis of DEGs between incubated control (C2) and SPIDES (SR) groups (network score = 42, top function = carbohydrate metabolism, energy production, small molecule biochemistry) (FPKM > 20, p-value < 0.05, |fold change| > 1.5). (B) The top regulator effects network obtained through pathway analysis of DEGs between C2 and SR groups (consistency score = 3) (FPKM > 20, p-value < 0.05, |fold change| > 1.5)