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Epigenetic Disruption of the PIWI Pathway in Human Spermatogenic Disorders

Overview of attention for article published in PLOS ONE, October 2012
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Title
Epigenetic Disruption of the PIWI Pathway in Human Spermatogenic Disorders
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0047892
Pubmed ID
Authors

Holger Heyn, Humberto J. Ferreira, Lluís Bassas, Sandra Bonache, Sergi Sayols, Juan Sandoval, Manel Esteller, Sara Larriba

Abstract

Epigenetic changes are involved in a wide range of common human diseases. Although DNA methylation defects are known to be associated with male infertility in mice, their impact on human deficiency of sperm production has yet to be determined. We have assessed the global genomic DNA methylation profiles in human infertile male patients with spermatogenic disorders by using the Infinium Human Methylation27 BeadChip. Three populations were studied: conserved spermatogenesis, spermatogenic failure due to germ cell maturation defects, and Sertoli cell-only syndrome samples. A disease-associated DNA methylation profile, characterized by targeting members of the PIWI-associated RNA (piRNA) processing machinery, was obtained. Bisulfite genomic sequencing and pyrosequencing in a large cohort (n = 46) of samples validated the altered DNA methylation patterns observed in piRNA-processing genes. In particular, male infertility was associated with the promoter hypermethylation-associated silencing of PIWIL2 and TDRD1. The downstream effects mediated by the epigenetic inactivation of the PIWI pathway genes were a defective production of piRNAs and a hypomethylation of the LINE-1 repetitive sequence in the affected patients. Overall, our data suggest that DNA methylation, at least that affecting PIWIL2/TDRD1, has a role in the control of gene expression in spermatogenesis and its imbalance contributes to an unsuccessful germ cell development that might explain a group of male infertility disorders.

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Geographical breakdown

Country Count As %
United States 2 2%
Spain 1 1%
Portugal 1 1%
Germany 1 1%
Unknown 92 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 20%
Student > Ph. D. Student 17 18%
Student > Master 12 12%
Student > Bachelor 12 12%
Student > Doctoral Student 5 5%
Other 11 11%
Unknown 21 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 36 37%
Biochemistry, Genetics and Molecular Biology 21 22%
Medicine and Dentistry 7 7%
Computer Science 3 3%
Pharmacology, Toxicology and Pharmaceutical Science 2 2%
Other 4 4%
Unknown 24 25%