↓ Skip to main content

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

Overview of attention for article published in Journal of Translational Medicine, July 2015
Altmetric Badge

Mentioned by

twitter
2 X users

Citations

dimensions_citation
52 Dimensions

Readers on

mendeley
69 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Altered microRNAs expression profiling in cumulus cells from patients with polycystic ovary syndrome
Published in
Journal of Translational Medicine, July 2015
DOI 10.1186/s12967-015-0605-y
Pubmed ID
Authors

Suying Liu, Xuan Zhang, Changgen Shi, Jimin Lin, Guowu Chen, Bin Wu, Ligang Wu, Huijuan Shi, Yao Yuan, Weijin Zhou, Zhaogui Sun, Xi Dong, Jian Wang

Abstract

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. 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. 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. 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.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Turkey 1 1%
Unknown 68 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 17%
Student > Bachelor 10 14%
Student > Master 9 13%
Student > Doctoral Student 6 9%
Researcher 5 7%
Other 14 20%
Unknown 13 19%
Readers by discipline Count As %
Medicine and Dentistry 17 25%
Biochemistry, Genetics and Molecular Biology 15 22%
Agricultural and Biological Sciences 14 20%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Social Sciences 2 3%
Other 4 6%
Unknown 15 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 July 2015.
All research outputs
#18,418,919
of 22,817,213 outputs
Outputs from Journal of Translational Medicine
#2,945
of 3,992 outputs
Outputs of similar age
#189,670
of 263,982 outputs
Outputs of similar age from Journal of Translational Medicine
#102
of 103 outputs
Altmetric has tracked 22,817,213 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,992 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 263,982 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 103 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.