Transcriptome analysis of eutopic endometrial stromal cells in women with adenomyosis by RNA-sequencing

Gan, Lin; Li, Yongrong; Chen, Yan; Huang, Meihua; Cao, Jian; Cao, Meiling; Wang, Zhihui; Wan, Guiping; Gui, Tao

doi:10.1080/21655979.2022.2077614

Cited by 8 publications

(2 citation statements)

References 48 publications

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“…Gan et al [87], using a sequencing technique coined mRNA-Seq, compared the expression of genes in endometrial stromal cells obtained during the secretory phase from women with adenomyosis to those from controls. There was a total of 458 up-regulated and 363 down-regulated genes in adenomyosis.…”

Section: The Eutopic Endometrium In Adenomyosis and Endometriosis: Pr...mentioning

confidence: 99%

Are Adenomyosis and Endometriosis Phenotypes of the Same Disease Process?

Habiba,

Guo,

Benagiano

2023

Biomolecules

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In recent literature reviews, we concluded that the possibility that endometrial molecular aberrations are the sole or a necessary determinant of endometriosis and the Tissue Injury and Repair (TIAR) theory are yet to be convincingly proven. Here, we critically examine the theory that adenomyosis and endometriosis represent different phenotypes of a single disease. A common etiopathology for adenomyosis and endometriosis has been suggested because both conditions entail the presence of endometrial tissue at locations other than the lining of the uterus. There are wide differences in reported disease incidence and prevalence and, consequently, in estimates of the coexistence of both conditions. There are some similarities but also differences in their clinical features and predisposing factors. Each condition has a range of subtypes. These differences alone pose the question of whether subtypes of endometriosis and adenomyosis have different etiopathologies, and, in turn, this raises the question of whether they all share a common etiology. It is debatable whether the recognized differences between the eutopic endometrium in adenomyosis and endometriosis compared to those in unaffected women are the cause or the effect of the disease. The finding of common mutations, particularly of KRAS, lend support to the notion of shared predisposing factors, but this alone is insufficient evidence of causation.

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Section: The Eutopic Endometrium In Adenomyosis and Endometriosis: Pr...mentioning

confidence: 99%

Are Adenomyosis and Endometriosis Phenotypes of the Same Disease Process?

Habiba,

Guo,

Benagiano

2023

Biomolecules

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“…By integrating genomics, transcriptomics, proteomics, and other -omics data, we seek to identify crucial genes and pathways that play pivotal roles in the development, progression, and potentially the treatment of endometriosis (7). Understanding the molecular basis of endometriosis is critical not only for shedding light on the disease's etiology but also for discovering potential biomarkers and therapeutic targets (8). In this study, we will conduct a comprehensive bioinformatics analysis, including differential gene expression analysis, pathway enrichment analysis, protein-protein interaction network analysis, and functional annotation, to elucidate the molecular signatures associated with endometriosis (9).…”

Section: Introductionmentioning

confidence: 99%

Understanding the Molecular Landscape of Endometriosis: A Bioinformatics Approach to Uncover Signaling Pathways and Hub Genes

Tian,

Liu

2024

Iran J Pharm Res

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Background: Endometriosis is a chronic gynecological disorder characterized by the ectopic growth of endometrial tissue outside the uterus, leading to debilitating pain and infertility in affected women. Despite its prevalence and clinical significance, the molecular mechanisms underlying the progression of endometriosis remain poorly understood. This study employs bioinformatics tools and molecular docking simulations to unravel the intricate genetic and molecular networks associated with endometriosis progression. Objectives: The primary objectives of this research are to identify differentially expressed genes (DEGs) linked to endometriosis, elucidate associated biological pathways using the Database for Annotation, Visualization, and Integrated Discovery (DAVID), construct a Protein-Protein Interaction (PPI) network to identify hub genes, and perform molecular docking simulations to explore potential ligand-protein interactions associated with endometriosis. Methods: Microarray data from Homo sapiens, specifically Accession: GDS3092 Series = GSE5108 (Platform: GPL2895), were retrieved from the NCBI Gene Expression Omnibus (GEO). The data underwent rigorous preprocessing and DEG analysis using NCBI GEO2. Database for Annotation, Visualization, and Integrated Discovery analysis was employed for functional annotation, and a PPI network was constructed using the STITCH database and Cytoscape 3.8.2. Molecular docking simulations against target proteins associated with endometriosis were conducted using MVD 7.0. Results: A total of 1 911 unique elements were identified as DEGs associated with endometriosis from the microarray data. Database for Annotation, Visualization, and Integrated Discovery analysis revealed pathways and biological characteristics positively and negatively correlated with endometriosis. Hub genes, including BCL2, CCNA2, CDK7, EGF, GAS6, MAP3K7, and TAB2, were identified through PPI network analysis. Molecular docking simulations highlighted potential ligands, such as Quercetin-3-o-galactopyranoside and Kushenol E, exhibiting favorable interactions with target proteins associated with endometriosis. Conclusions: This study provides insights into the molecular signatures, pathways, and hub genes associated with endometriosis. Utilizing DAVID in this study clarifies biological pathways associated with endometriosis, revealing insights into intricate genetic networks. Molecular docking simulations identified ligands for further exploration in therapeutic interventions. The consistent efficacy of these ligands across diverse targets suggests broad-spectrum effectiveness, encouraging further exploration for potential therapeutic interventions. The study contributes to a deeper understanding of endometriosis pathogenesis, paving the way for targeted therapies and precision medicine approaches to improve patient outcomes. These findings advance our understanding of the molecular mechanisms in endometriosis (EMS), offering promising avenues for future research and therapeutic development in addressing this complex condition.

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Aberrant TCF21 upregulation in adenomyosis impairs endometrial decidualization by increasing PDE4C expression

Yu,

Wei,

et al. 2025

Biochimica et Biophysica Acta (BBA) - Molecular Basis of Diseas

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Transcriptome analysis of eutopic endometrial stromal cells in women with adenomyosis by RNA-sequencing

Cited by 8 publications

References 48 publications

Are Adenomyosis and Endometriosis Phenotypes of the Same Disease Process?

Are Adenomyosis and Endometriosis Phenotypes of the Same Disease Process?

Understanding the Molecular Landscape of Endometriosis: A Bioinformatics Approach to Uncover Signaling Pathways and Hub Genes

Aberrant TCF21 upregulation in adenomyosis impairs endometrial decidualization by increasing PDE4C expression

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