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. 2017 Aug 15;7:8277. doi: 10.1038/s41598-017-08883-1

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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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Prematurity induces a distinct transcriptome profile in ECFC. (A) Principal component analysis (PCA) plot of the gene expression profiles across 4 CT (blue) and 11 PT-ECFC (red). Each point represents a single ECFC sample, whereas the distance between points is indicative of the global gene expression similarity, such that similar array profiles are positioned closer together. (B) The hierarchical clustering for differentially expressed genes detected by whole-genome microarray analysis of the mRNA obtained from CT- and PT-ECFC. Genes in red: increased expression; genes in green: decreased expression. (C) Fold enrichment over chance for the Gene Ontology (GO) biological process of the Up-with-PT (red) or Down-with-PT (green) gene lists using DAVID (fold change ≥ 2, p ≤ 0.001). (D) The MAPK pathway in PT-ECFC. Pathway analysis was performed using SEA GeneSpring resources; differentially expressed genes are shown (yellow boxes, p ≤ 0.05), with the induction ratio derived from the microarray data.