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A Unique Combination of Male Germ Cell miRNAs Coordinates Gonocyte Differentiation

Overview of attention for article published in PLOS ONE, April 2012
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Title
A Unique Combination of Male Germ Cell miRNAs Coordinates Gonocyte Differentiation
Published in
PLOS ONE, April 2012
DOI 10.1371/journal.pone.0035553
Pubmed ID
Authors

Skye C. McIver, Simone J. Stanger, Danielle M. Santarelli, Shaun D. Roman, Brett Nixon, Eileen A. McLaughlin

Abstract

The last 100 years have seen a concerning decline in male reproductive health associated with decreased sperm production, sperm function and male fertility. Concomitantly, the incidence of defects in reproductive development, such as undescended testes, hypospadias and testicular cancer has increased. Indeed testicular cancer is now recognised as the most common malignancy in young men. Such cancers develop from the pre-invasive lesion Carcinoma in Situ (CIS), a dysfunctional precursor germ cell or gonocyte which has failed to successfully differentiate into a spermatogonium. It is therefore essential to understand the cellular transition from gonocytes to spermatogonia, in order to gain a better understanding of the aetiology of testicular germ cell tumours. MicroRNA (miRNA) are important regulators of gene expression in differentiation and development and thus highly likely to play a role in the differentiation of gonocytes. In this study we have examined the miRNA profiles of highly enriched populations of gonocytes and spermatogonia, using microarray technology. We identified seven differentially expressed miRNAs between gonocytes and spermatogonia (down-regulated: miR-293, 291a-5p, 290-5p and 294*, up-regulated: miR-136, 743a and 463*). Target prediction software identified many potential targets of several differentially expressed miRNA implicated in germ cell development, including members of the PTEN, and Wnt signalling pathways. These targets converge on the key downstream cell cycle regulator Cyclin D1, indicating that a unique combination of male germ cell miRNAs coordinate the differentiation and maintenance of pluripotency in germ cells.

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The data shown below were collected from the profiles of 3 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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 2 3%
Iran, Islamic Republic of 1 2%
Denmark 1 2%
Russia 1 2%
United States 1 2%
Unknown 53 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 22%
Researcher 13 22%
Student > Master 7 12%
Other 5 8%
Professor > Associate Professor 4 7%
Other 11 19%
Unknown 6 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 24 41%
Biochemistry, Genetics and Molecular Biology 12 20%
Medicine and Dentistry 10 17%
Neuroscience 2 3%
Immunology and Microbiology 1 2%
Other 2 3%
Unknown 8 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 28 April 2012.
All research outputs
#13,360,809
of 22,664,644 outputs
Outputs from PLOS ONE
#106,358
of 193,509 outputs
Outputs of similar age
#89,714
of 161,584 outputs
Outputs of similar age from PLOS ONE
#1,890
of 3,707 outputs
Altmetric has tracked 22,664,644 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,509 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 42nd percentile – i.e., 42% 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 161,584 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3,707 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.