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. 2017 Oct 11;7:12941. doi: 10.1038/s41598-017-13462-5

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© The Author(s) 2017

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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Gene expression patterns within and between individuals. (a,b) Saturation curves showing numbers of unique transcripts (a) and unique genes (b) per feature, against subsets of raw reads. (c and d) Scatterplots showing Pearson correlation of gene expression between consecutive tissue sections from LV and RAA. (e) Scatterplot showing Pearson correlation of gene expression between different cardiac regions of the same individual. Letters correspond to tissue sections specified in Table 1. (f) Principal Component Analysis score plot showing separation of LV and RAA sections along PC1, and separation of individuals along PC2. Loadings show genes that make a major contribution to the separation. (g) Heatmap of gene expression across all features from one LV and one RAA tissue section from individual 1.