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. 2023 Oct 31;6:1104. doi: 10.1038/s42003-023-05481-y

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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 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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Fig. 3 — a The percentages of different ASE types in annotated and unannotated genes. b The number of differential ASEs in each sample group. c The percentages of differential ASEs for each ASE type across different sample groups. d Heatmap shows PSI values of representative genes that were detected with top differential ASEs across samples. e Volcano plots show the difference of switching isoforms in miR-221, PDGF, and TGFβ groups. f The isoform structures, gene expression, isoform expression, and isoform usages of the PAIP1 gene in the miR-221 group. g The isoform switching details of the RARG gene in the PDGF group. h The isoform switching details of the ACTA2 gene in the TGFβ group. Error bars represent the means ± SDs. In (f-h), differential analysis of gene and isoform expression were performed by DESeq2 package, and isoform usage was by DEXSeq package. n = 4 independent samples were included in each group. Abbreviations in f-h: IDR, intrinsically disordered region; MIF4G, middle domain of eukaryotic initiation factor 4G; PAM2, PABP-interacting motif 2; zf-C4, zinc finger C4 type.