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Rapid generation of gene-targeted EPS-derived mouse models through tetraploid complementation

Overview of attention for article published in Protein & Cell, June 2018
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Title
Rapid generation of gene-targeted EPS-derived mouse models through tetraploid complementation
Published in
Protein & Cell, June 2018
DOI 10.1007/s13238-018-0556-1
Pubmed ID
Authors

Haibo Li, Chaoran Zhao, Jun Xu, Yaxing Xu, Chunmei Cheng, Yinan Liu, Ting Wang, Yaqin Du, Liangfu Xie, Jingru Zhao, Yanchuang Han, Xiaobao Wang, Yun Bai, Hongkui Deng

Abstract

One major strategy to generate genetically modified mouse models is gene targeting in mouse embryonic stem (ES) cells, which is used to produce gene-targeted mice for wide applications in biomedicine. However, a major bottleneck in this approach is that the robustness of germline transmission of gene-targeted ES cells can be significantly reduced by their genetic and epigenetic instability after long-term culturing, which impairs the efficiency and robustness of mouse model generation. Recently, we have established a new type of pluripotent cells termed extended pluripotent stem (EPS) cells, which have superior developmental potency and robust germline competence compared to conventional mouse ES cells. In this study, we demonstrate that mouse EPS cells well maintain developmental potency and genetic stability after long-term passage. Based on gene targeting in mouse EPS cells, we established a new approach to directly and rapidly generate gene-targeted mouse models through tetraploid complementation, which could be accomplished in approximately 2 months. Importantly, using this approach, we successfully constructed mouse models in which the human interleukin 3 (IL3) or interleukin 6 (IL6) gene was knocked into its corresponding locus in the mouse genome. Our study demonstrates the feasibility of using mouse EPS cells to rapidly generate mouse models by gene targeting, which have great application potential in biomedical research.

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The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 20%
Professor 2 8%
Student > Bachelor 2 8%
Other 2 8%
Student > Master 2 8%
Other 4 16%
Unknown 8 32%
Readers by discipline Count As %
Agricultural and Biological Sciences 10 40%
Biochemistry, Genetics and Molecular Biology 5 20%
Arts and Humanities 1 4%
Unknown 9 36%
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 31 December 2019.
All research outputs
#20,523,725
of 23,092,602 outputs
Outputs from Protein & Cell
#667
of 747 outputs
Outputs of similar age
#288,132
of 328,593 outputs
Outputs of similar age from Protein & Cell
#9
of 12 outputs
Altmetric has tracked 23,092,602 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.
So far Altmetric has tracked 747 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 12 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.