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. 2023 Oct 19;16:251. doi: 10.1186/s12920-023-01706-5

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© The Author(s) 2023

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 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. 2 — Analysis of the differential expression of RBPs in MIRI. (A) The overlapped genes between DEGs and RBPs are shown in venn diagram. (B) The expression levels of the DE RBPs are shown in hierarchical clustering heatmap. (C) The scatter plot shows the top ten GO BP results of the DE RBPs. (D) The scatter plot shows the top ten KEGG pathways of the DE RBPs. (E) Bar plot shows the statistical differences and expression patterns of the DEGs of some critical RBPs. Mean ± SEM is represented by error bars. Student’s t-test; *** P-value < 0.001; **** P-value < 0.0001