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Poised chromatin and bivalent domains facilitate the mitosis-to-meiosis transition in the male germline

Overview of attention for article published in BMC Biology, July 2015
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Title
Poised chromatin and bivalent domains facilitate the mitosis-to-meiosis transition in the male germline
Published in
BMC Biology, July 2015
DOI 10.1186/s12915-015-0159-8
Pubmed ID
Authors

Ho-Su Sin, Andrey V. Kartashov, Kazuteru Hasegawa, Artem Barski, Satoshi H. Namekawa

Abstract

The male germline transcriptome changes dramatically during the mitosis-to-meiosis transition to activate late spermatogenesis genes and to transiently suppress genes commonly expressed in somatic lineages and spermatogenesis progenitor cells, termed somatic/progenitor genes. These changes reflect epigenetic regulation. Induction of late spermatogenesis genes during spermatogenesis is facilitated by poised chromatin established in the stem cell phases of spermatogonia, whereas silencing of somatic/progenitor genes during meiosis and postmeiosis is associated with formation of bivalent domains which also allows the recovery of the somatic/progenitor program after fertilization. Importantly, during spermatogenesis mechanisms of epigenetic regulation on sex chromosomes are different from autosomes: X-linked somatic/progenitor genes are suppressed by meiotic sex chromosome inactivation without deposition of H3K27me3. Our results suggest that bivalent H3K27me3 and H3K4me2/3 domains are not limited to developmental promoters (which maintain bivalent domains that are silent throughout the reproductive cycle), but also underlie reversible silencing of somatic/progenitor genes during the mitosis-to-meiosis transition in late spermatogenesis.

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Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Russia 1 1%
Unknown 71 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 24%
Researcher 15 20%
Student > Master 8 11%
Other 7 9%
Student > Bachelor 5 7%
Other 10 14%
Unknown 11 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 27 36%
Agricultural and Biological Sciences 25 34%
Computer Science 2 3%
Medicine and Dentistry 2 3%
Immunology and Microbiology 1 1%
Other 3 4%
Unknown 14 19%