Integrated analysis of DNA methylation and transcriptome profiling of polycystic ovary syndrome.
Mol Med Rep
; 21(5): 2138-2150, 2020 05.
Article
en En
| MEDLINE
| ID: mdl-32323770
ABSTRACT
The present study aimed to identify potentially important biomarkers associated with polycystic ovary syndrome (PCOS) by integrating DNA methylation with transcriptome profiling. The transcription (EMTAB3768) and methylation (EMTAB3777) datasets were retrieved from ArrayExpress. Paired transcription and methylation profiling data of 10 cases of PCOS and 10 healthy controls were available for screening differentially expressed genes (DEGs) and differentially methylated genes (DMGs). Genes with a negative correlation between expression levels and methylation levels were retained by correlation analysis to construct a proteinprotein interaction (PPI) network. Subsequently, functional and pathway enrichment analyses were performed to identify genes in the PPI network. Additionally, a diseaseassociated pathway network was also established. A total of 491 overlapping genes, and the expression levels of 237 genes, were negatively correlated with their methylation levels. Functional enrichment analysis revealed that genes in the PPI network were mainly involved with biological processes of cellular response to stress, negative regulation of the biosynthetic process, and regulation of cell proliferation. The constructed pathway network associated with PCOS led to the identification of four important genes (SPP1, F2R, IL12B and RBP4) and two important pathways (JakSTAT signaling pathway and neuroactive ligandreceptor interaction). Taken, together, the results from the present study have revealed numerous important genes with abnormal DNA methylation levels and altered mRNA expression levels, along with their associated functions and pathways. These findings may contribute to an improved understanding of the possible pathophysiology of PCOS.
Palabras clave
Texto completo:
1
Colección:
01-internacional
Base de datos:
MEDLINE
Asunto principal:
Síndrome del Ovario Poliquístico
/
Regulación Neoplásica de la Expresión Génica
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Metilación de ADN
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Sistema de Señalización de MAP Quinasas
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Proliferación Celular
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Redes Reguladoras de Genes
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Mapas de Interacción de Proteínas
Tipo de estudio:
Prognostic_studies
Límite:
Female
/
Humans
Idioma:
En
Revista:
Mol Med Rep
Año:
2020
Tipo del documento:
Article
Pais de publicación:
GR
/
GRECIA
/
GREECE
/
GRÉCIA