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. 2018 Nov 20;8:17070. doi: 10.1038/s41598-018-35256-z

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© The Author(s) 2018

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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Neonatal lung MSCs expression profiles. Heatmap of unsupervised hierarchical cluster analysis of neonatal lung MSCs expression data based on 870 genes, selected after filtering out genes with low expression levels and low variance. The discovery cohort included 13 infants. Each column represents a sample and each row represents a gene. The Z-score depicts the expression level as a measure of distance, in standard deviations, away from the mean expression of a given gene across all samples. The relative expression value for each gene is depicted by color intensity, with red indicating upregulated and green indicating downregulated genes.