Epigenomic Analysis of Sézary Syndrome Defines Patterns of Aberrant DNA Methylation and Identifies Diagnostic Markers  Remco van Doorn, Roderick C. Slieker,

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Date of download: 9/19/2016 Copyright © 2016 American Medical Association. All rights reserved. From: Germline Epigenetic Regulation of KILLIN in Cowden.
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Epigenomic Analysis of Sézary Syndrome Defines Patterns of Aberrant DNA Methylation and Identifies Diagnostic Markers  Remco van Doorn, Roderick C. Slieker, Stéphanie E. Boonk, Willem H. Zoutman, Jelle J. Goeman, Martine Bagot, Laurence Michel, Cornelis P. Tensen, Rein Willemze, Bas T. Heijmans, Maarten H. Vermeer  Journal of Investigative Dermatology  Volume 136, Issue 9, Pages 1876-1884 (September 2016) DOI: 10.1016/j.jid.2016.03.042 Copyright © 2016 The Authors Terms and Conditions

Figure 1 Genome-wide distribution of DNA methylation in Sz patients, EID patients, and healthy control subjects. (a) Multidimensional scaling of all normalized methylation data for all autosomal CpG sites among all patient samples. The largest differences were found between Sz samples and benign T-cell samples (dimension 1), and among Sz patients variation was found as well (dimension 2). (b) Circos representation of the location of differential DNA methylation between Sz and benign T cells from EID patients and healthy volunteers across all autosomes. Red indicates hypermethylation and black, hypomethylation. Median difference in DNA methylation values were calculated per 100 kilobase pair bins. (c) Number of CpG sites with hypermethylation or hypomethylation (absolute β-value difference > 0.2, no P-value threshold) between healthy and tumor tissue of thyroid, stomach, kidney, bladder, lung, colon, and skin melanoma and Sz. CpG, 5′-cytosine-phosphate-guanine-3′; EID, erythrodermic inflammatory dermatosis; Sz, Sézary syndrome. Journal of Investigative Dermatology 2016 136, 1876-1884DOI: (10.1016/j.jid.2016.03.042) Copyright © 2016 The Authors Terms and Conditions

Figure 2 Gene-centric analysis of aberrant DNA methylation of CpG sites within and outside CpG islands. (a) Scatterplot illustrating the relation between average DNA methylation in Sz T cells and benign T cells for CpG sites located in a CpG island and CpG sites not located in a CpG island context, that is, not in a CpG island or 4-kilobase pair flanking region. (b) Top: promoter of SPON2, which is hypomethylated in Sz T cells and methylated in healthy T cells. Bottom: promoter of GNMT, which is hypermethylated in Sz T cells and hypomethylated in healthy T cells. (c) Enrichment (as odds ratio) of hypermethylation over hypomethylation in CpG island- and gene-centric annotations. CpG island shores were located within a 2-kilobase pair distance of CpG islands. (d) Heat map highlighting the top promoter CpG islands identified as hypermethylated in Sz T cells (P ≤ 0.05, β-value difference ≥ 0.4) when compared with benign T cells, ranked according to average β-value difference. Genes are clustered based on euclidean distance. CGI, CpG island; CpG, 5′-cytosine-phosphate-guanine-3′; DP, distal promoter; DS, downstream; GB, gene body; IG, intergenic; PP, proximal promoter; SHO, CpG island shore. Journal of Investigative Dermatology 2016 136, 1876-1884DOI: (10.1016/j.jid.2016.03.042) Copyright © 2016 The Authors Terms and Conditions

Figure 3 Validation of promoter hypermethylation and transcriptional down-regulation of the CMTM2 gene in Sz. (a) Schematic depiction of the CpG island in relation to the promoter and gene body with location of the significant CpG sites interrogated by the array and amplicon for MS-MCA relative to the transcription start site. (b) MS-MCA curve profiles of DNA samples plotted jointly in single graphs. Left panel: Fully methylated and unmethylated control samples. The Sz samples in the middle panel show a peak in their melting curve patterns at the melting temperature of 88.0 °C for methylated DNA, whereas EID samples in the left panel show a peak exclusively at the temperature for unmethylated DNA of 82.6 °C. (c) Relative mRNA expression data of 32 Sz and nine EID patients depicted as dot plots. Median and error bars are generated according to the standard interquartile range where a one-tailed Mann-Whitney test was applied to prove significant differential expression. (d) MS-MCA curve plots before and after treatment of the SeAx cell line with 5-aza-2′-deoxycytidine showing relative demethylation (left panel). The effect of demethylation on CMTM2 expression in the SeAx cell line cultured in the presence or absence of 0.5 μmol/L 5-aza-2′-deoxycytidine (right panel). Data are representative of duplicate treatment experiments; error bars indicate standard deviation from triplicate quantitative real-time PCR experiments. The fold induction in expression upon treatment with 5-aza-2′-deoxycytidine is indicated next to the bars. A one-sided t test was used for statistical analysis. ∗P < 0.05. 5′-AZA, 5-aza-2′-deoxycytidine; BE, benign erythroderma; CpG, 5′-cytosine-phosphate-guanine-3′; EID, erythrodermic inflammatory dermatosis; M, methylated; mRNA, messenger RNA; MS-MCA, methylation-specific melting curve analysis; SS, Sézary syndrome; Sz, Sézary syndrome; Tm, melting temperature; U, unmethylated. Journal of Investigative Dermatology 2016 136, 1876-1884DOI: (10.1016/j.jid.2016.03.042) Copyright © 2016 The Authors Terms and Conditions