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. 2019 May 10;9:7203. doi: 10.1038/s41598-019-43591-y

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© The Author(s) 2019

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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HUVECs-derived ApoExos are loaded with transcripts coded by EREs and repetitive sequences. (a) RNA-Seq reads were quantified and pseudo-aligned on human Ensembl reference transcriptome combined to repeat masker annotations using Kallisto. Transcripts were then classified according to their origin. Pie charts represent the mean proportions of each RNA sequence type (n = 2). (b,c) ApoExos are enriched in repeats and EREs. Detailed distribution of repeats (b) and EREs (c) RNA sequences across samples (Two-tailed unpaired T test, *p ≤ 0.05, **p ≤ 0.01, n = 2).