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. 2019 Jun 19;9:8771. doi: 10.1038/s41598-019-43998-7

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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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Sample clustering by transcriptome profiling implicates transition in AGA severity. (A) Principal component analysis (PCA) plot of mRNA transcriptome profile of FUE samples classified by unsupervised hierarchical clustering. (B) Hierarchical clustering of samples according to transcriptome profile. (C) Representative images of hair follicles from group 1–4. Scale: 1 mm. (D) List of differentially expressed genes between G1 vs G2, G1 vs G3 and G1 vs G4. (E) Venn Diagram of differentially expressed genes overlapping between G1 vs G2, G3 and G4. (F) Heat map representing expression of genes differentially expressed in G1 vs G3 across G1 to G3 and G1 to G4 samples. Gene expression level are represented by intensity of red color in pixels across different groups of samples.