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. 2022 May 19;44(3):1525–1550. doi: 10.1007/s11357-022-00580-w

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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/.

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Fig. 2 — Differential analysis of TE expression. A Volcano plot of the results from the differential expression analysis of TE transcripts in the Converter_pre vs Converter_post comparison. Significant RNA transcripts at logFC ± 1.5 and p value ≤ .01 are highlighted in black. B Scaled heatmap and unsupervised hierarchical clustering of the log2 TMM values of the 1790 TEs identified as differentially expressed in the Converter_pre vs Converter_post comparison. Samples are annotated with different colors according to the group (Converter_pre or Converter_post). C Enrichment analysis for up- and down-regulated differentially expressed TE transcripts according to their class. Stars mark significantly enriched TE classes (Fisher’s exact test p value ≤ .01). D, E, F The panels reports the same plots described above, but for the Converter_pre vs NC comparison