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Altered microRNAs expression profiling in cumulus cells from patients with polycystic ovary syndrome.

Liu S, Zhang X, Shi C, Lin J, Chen G, Wu B, Wu L, Shi H, Yuan Y, Zhou W, Sun Z, Dong X, Wang J - J Transl Med (2015)

Bottom Line: These miRNAs were predicted to target a large set of genes with different functions, including Wnt- and MAPK- signaling pathways, oocyte meiosis, progesterone-mediated oocyte maturation and cell cycle.We found that the miRNAs expression profile was different in cumulus cells isolated from PCOS patients compared with control.This study provided new evidence for understanding the pathogenesis of PCOS.

View Article: PubMed Central - PubMed

Affiliation: Department of In-Vitro Fertilization, Shanghai Zhongshan Hospital, Shanghai, China. lsy6592@163.com.

ABSTRACT

Background: Polycystic ovary syndrome (PCOS) is a common endocrine disorder in women of reproductive age, and oocyte developmental competence is altered in patients with PCOS. In recent years microRNAs (miRNAs) have emerged as important regulators of gene expression, the aim of the study was to study miRNAs expression patterns of cumulus cells from PCOS patients.

Methods: The study included 20 patients undergoing in vitro fertilization (IVF) and intra-cytoplasmic sperm injection (ICSI): 10 diagnosed with PCOS and 10 matching controls. We used deep sequencing technology to identify the miRNAs differentially expressed in the cumulus cells of PCOS.

Results: There were 17 differentially expressed miRNAs in PCOS cumulus cells, including 10 miRNAs increase and 7 miRNAs decrease. These miRNAs were predicted to target a large set of genes with different functions, including Wnt- and MAPK- signaling pathways, oocyte meiosis, progesterone-mediated oocyte maturation and cell cycle. Unsupervised hierarchical clustering analysis demonstrated that there was a specific miRNAs expression pattern in PCOS cumulus cells.

Conclusion: We found that the miRNAs expression profile was different in cumulus cells isolated from PCOS patients compared with control. This study provided new evidence for understanding the pathogenesis of PCOS.

No MeSH data available.


Related in: MedlinePlus

Unsupervised hierarchical clustering of deep sequencing data. Heatmap of miRNA expression data after hierarchical clustering. The Euclidean distance measure and the average linkage clustering algorithm were used. The branching pattern was illustrated in a dendrogram.
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Fig1: Unsupervised hierarchical clustering of deep sequencing data. Heatmap of miRNA expression data after hierarchical clustering. The Euclidean distance measure and the average linkage clustering algorithm were used. The branching pattern was illustrated in a dendrogram.

Mentions: To gain a systematic comparison between the two groups of miRNAs expression profiles, unsupervised hierarchical clustering analysis was conducted. The unsupervised hierarchical clustering generated a tree with a clear distinction of samples in two main groups, represented by PCOS and control (Figure 1).Figure 1


Altered microRNAs expression profiling in cumulus cells from patients with polycystic ovary syndrome.

Liu S, Zhang X, Shi C, Lin J, Chen G, Wu B, Wu L, Shi H, Yuan Y, Zhou W, Sun Z, Dong X, Wang J - J Transl Med (2015)

Unsupervised hierarchical clustering of deep sequencing data. Heatmap of miRNA expression data after hierarchical clustering. The Euclidean distance measure and the average linkage clustering algorithm were used. The branching pattern was illustrated in a dendrogram.
© Copyright Policy - OpenAccess
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4508762&req=5

Fig1: Unsupervised hierarchical clustering of deep sequencing data. Heatmap of miRNA expression data after hierarchical clustering. The Euclidean distance measure and the average linkage clustering algorithm were used. The branching pattern was illustrated in a dendrogram.
Mentions: To gain a systematic comparison between the two groups of miRNAs expression profiles, unsupervised hierarchical clustering analysis was conducted. The unsupervised hierarchical clustering generated a tree with a clear distinction of samples in two main groups, represented by PCOS and control (Figure 1).Figure 1

Bottom Line: These miRNAs were predicted to target a large set of genes with different functions, including Wnt- and MAPK- signaling pathways, oocyte meiosis, progesterone-mediated oocyte maturation and cell cycle.We found that the miRNAs expression profile was different in cumulus cells isolated from PCOS patients compared with control.This study provided new evidence for understanding the pathogenesis of PCOS.

View Article: PubMed Central - PubMed

Affiliation: Department of In-Vitro Fertilization, Shanghai Zhongshan Hospital, Shanghai, China. lsy6592@163.com.

ABSTRACT

Background: Polycystic ovary syndrome (PCOS) is a common endocrine disorder in women of reproductive age, and oocyte developmental competence is altered in patients with PCOS. In recent years microRNAs (miRNAs) have emerged as important regulators of gene expression, the aim of the study was to study miRNAs expression patterns of cumulus cells from PCOS patients.

Methods: The study included 20 patients undergoing in vitro fertilization (IVF) and intra-cytoplasmic sperm injection (ICSI): 10 diagnosed with PCOS and 10 matching controls. We used deep sequencing technology to identify the miRNAs differentially expressed in the cumulus cells of PCOS.

Results: There were 17 differentially expressed miRNAs in PCOS cumulus cells, including 10 miRNAs increase and 7 miRNAs decrease. These miRNAs were predicted to target a large set of genes with different functions, including Wnt- and MAPK- signaling pathways, oocyte meiosis, progesterone-mediated oocyte maturation and cell cycle. Unsupervised hierarchical clustering analysis demonstrated that there was a specific miRNAs expression pattern in PCOS cumulus cells.

Conclusion: We found that the miRNAs expression profile was different in cumulus cells isolated from PCOS patients compared with control. This study provided new evidence for understanding the pathogenesis of PCOS.

No MeSH data available.


Related in: MedlinePlus