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. 2021 Feb 18;18:48. doi: 10.1186/s12974-021-02098-y

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© The Author(s) 2021

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. 5 — The validation of RNA-Seq dataset by means of qPCR and protein assays. a, b The expression of 5 randomly selected upregulated DEmRNAs (a) and 4 randomly selected downregulated DEmRNAs (b) from RNA-Seq dataset validated by qPCR. c The expression of some representative genes potentially involved in inflammation and pain response validated by qPCR. d, e The expression of 3 randomly selected upregulated DElncRNAs (d) and 2 randomly selected downregulated DElncRNAs (e) from RNA-Seq validated by qPCR. f ELISA test of CCL3 protein expression. g Western blot test of CXCL11 protein expression. n = 6 rats/group. ^*p < 0.05, ^**p < 0.01 vs. control group. Student’s t test was used for statistical analysis