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Error-prone meiotic division and subfertility in mice with oocyte-conditional knockdown of pericentrin

Overview of attention for article published in Journal of Cell Science, January 2017
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Title
Error-prone meiotic division and subfertility in mice with oocyte-conditional knockdown of pericentrin
Published in
Journal of Cell Science, January 2017
DOI 10.1242/jcs.196188
Pubmed ID
Authors

Claudia Baumann, Xiaotian Wang, Luhan Yang, Maria M. Viveiros

Abstract

Mouse oocytes lack canonical centrosomes and instead contain unique acentriolar microtubule-organizing centers (aMTOCs). To test the function of these distinct aMTOCs in meiotic spindle formation -Pericentrin (Pcnt), an essential centrosome/MTOC protein, was knocked down exclusively in oocytes using transgenic RNAi. Here we provide evidence that disruption of aMTOC function in oocytes promotes spindle instability and severe meiotic errors that lead to pronounced female subfertility. Pcnt-depleted oocytes from transgenic (Tg) mice are ovulated at metaphase-II, but show significant chromosome misalignment, aneuploidy and premature sister chromatid separation. These defects were associated with loss of key Pcnt-interacting proteins (γ-Tubulin, Nedd1 and Cep215) from meiotic spindle poles, altered spindle structure, and chromosome-microtubule attachment errors. Live cell imaging revealed disruptions in the dynamics of spindle assembly and organization together with chromosome attachment and congression defects. Notably, spindle formation was dependent on Ran-GTPase activity in Pcnt-deficient oocytes. Our findings establish that meiotic division is highly error-prone in the absence of Pcnt and disrupted aMTOCs, similar to defects reported in human oocytes. Moreover, these data underscore crucial differences between MTOC-dependent and independent meiotic spindle assembly.

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The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 16%
Researcher 6 13%
Student > Bachelor 5 11%
Student > Master 5 11%
Professor > Associate Professor 4 9%
Other 6 13%
Unknown 12 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 31%
Agricultural and Biological Sciences 9 20%
Medicine and Dentistry 3 7%
Unspecified 1 2%
Computer Science 1 2%
Other 3 7%
Unknown 14 31%
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 15 February 2017.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from Journal of Cell Science
#8,636
of 9,021 outputs
Outputs of similar age
#362,560
of 421,709 outputs
Outputs of similar age from Journal of Cell Science
#284
of 311 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
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