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Mouse model of chromosome mosaicism reveals lineage-specific depletion of aneuploid cells and normal developmental potential

Overview of attention for article published in Nature Communications, March 2016
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
32 news outlets
blogs
6 blogs
twitter
38 X users
googleplus
3 Google+ users

Citations

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355 Dimensions

Readers on

mendeley
325 Mendeley
citeulike
2 CiteULike
Title
Mouse model of chromosome mosaicism reveals lineage-specific depletion of aneuploid cells and normal developmental potential
Published in
Nature Communications, March 2016
DOI 10.1038/ncomms11165
Pubmed ID
Authors

Helen Bolton, Sarah J. L. Graham, Niels Van der Aa, Parveen Kumar, Koen Theunis, Elia Fernandez Gallardo, Thierry Voet, Magdalena Zernicka-Goetz

Abstract

Most human pre-implantation embryos are mosaics of euploid and aneuploid cells. To determine the fate of aneuploid cells and the developmental potential of mosaic embryos, here we generate a mouse model of chromosome mosaicism. By treating embryos with a spindle assembly checkpoint inhibitor during the four- to eight-cell division, we efficiently generate aneuploid cells, resulting in embryo death during peri-implantation development. Live-embryo imaging and single-cell tracking in chimeric embryos, containing aneuploid and euploid cells, reveal that the fate of aneuploid cells depends on lineage: aneuploid cells in the fetal lineage are eliminated by apoptosis, whereas those in the placental lineage show severe proliferative defects. Overall, the proportion of aneuploid cells is progressively depleted from the blastocyst stage onwards. Finally, we show that mosaic embryos have full developmental potential, provided they contain sufficient euploid cells, a finding of significance for the assessment of embryo vitality in the clinic.

X Demographics

X Demographics

The data shown below were collected from the profiles of 38 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 325 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 2 <1%
United Kingdom 1 <1%
Poland 1 <1%
United States 1 <1%
Unknown 320 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 52 16%
Researcher 45 14%
Student > Bachelor 38 12%
Student > Master 34 10%
Student > Doctoral Student 15 5%
Other 55 17%
Unknown 86 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 102 31%
Agricultural and Biological Sciences 64 20%
Medicine and Dentistry 44 14%
Nursing and Health Professions 4 1%
Engineering 4 1%
Other 15 5%
Unknown 92 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 308. 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 05 July 2023.
All research outputs
#105,341
of 24,547,718 outputs
Outputs from Nature Communications
#1,494
of 52,858 outputs
Outputs of similar age
#1,989
of 306,109 outputs
Outputs of similar age from Nature Communications
#26
of 820 outputs
Altmetric has tracked 24,547,718 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 52,858 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 56.1. This one has done particularly well, scoring higher than 97% of its peers.
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 306,109 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 820 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.