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Transcriptomic evaluation of pediatric localized scleroderma skin with histological and clinical correlation

ABSTRACT: Transcriptomic evaluation of pediatric localized scleroderma skin with histological and clinical correlation

PROVIDER: PRJNA702137 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR13723700_1.fastq.gz	Fastqsanger.gz
	SRR13723700_2.fastq.gz	Fastqsanger.gz
	SRR13723701_1.fastq.gz	Fastqsanger.gz
	SRR13723701_2.fastq.gz	Fastqsanger.gz
	SRR13723702_1.fastq.gz	Fastqsanger.gz

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Transcriptomic evaluation of pediatric localized scleroderma skin with histological and clinical correlation

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Project description:Scleroderma refers to a group of chronic fibrotic immune-mediated diseases of unknown etiology. Characterizing epigenetic changes in childhood-onset scleroderma, systemic sclerosis or localized scleroderma, has not been previously performed. The aim of this study was to assess DNA methylation differences and similarities between juvenile systemic sclerosis (jSSc) and juvenile localized scleroderma (jLS) compared to matched healthy controls. Genome-wide DNA methylation changes in peripheral blood mononuclear cell samples were assessed using the MethylationEPIC array followed by bioinformatic analysis and limited functional assessment. We identified a total of 105 and 144 differentially methylated sites compared to healthy controls in jSSc and jLS, respectively. The majority of differentially methylated sites and genes represented were unique to either jSSc or jLS suggesting a different underlying epigenetic pattern in both diseases. Among shared differentially methylated genes, methylation levels in a CpG site in FGFR2 can distinguish between LS and healthy PBMCs with a high accuracy. Canonical pathway analysis revealed that inflammatory pathways were enriched in genes differentially methylated in jSSc, including STAT3, NF-κB, and IL-15 pathways. In contrast, the HIPPO signaling pathway was enriched in jLS. Our data also suggest a potential role for NOTCH3 in both jSSc and jLS, and revealed a number of transcription factors unique to each of the two diseases. In summary, our data revealed important insights into jSSc and jLS and suggest a potentially novel epigenetic diagnostic biomarker for LS.

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