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Significant variations in alternative splicing patterns and expression profiles between human-mouse orthologs in early embryos

Overview of attention for article published in Science China Life Sciences, July 2016
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Title
Significant variations in alternative splicing patterns and expression profiles between human-mouse orthologs in early embryos
Published in
Science China Life Sciences, July 2016
DOI 10.1007/s11427-015-0348-5
Pubmed ID
Authors

Geng Chen, Jiwei Chen, Jianmin Yang, Long Chen, Xiongfei Qu, Caiping Shi, Baitang Ning, Leming Shi, Weida Tong, Yongxiang Zhao, Meixia Zhang, Tieliu Shi

Abstract

Human and mouse orthologs are expected to have similar biological functions; however, many discrepancies have also been reported. We systematically compared human and mouse orthologs in terms of alternative splicing patterns and expression profiles. Human-mouse orthologs are divergent in alternative splicing, as human orthologs could generally encode more isoforms than their mouse orthologs. In early embryos, exon skipping is far more common with human orthologs, whereas constitutive exons are more prevalent with mouse orthologs. This may correlate with divergence in expression of splicing regulators. Orthologous expression similarities are different in distinct embryonic stages, with the highest in morula. Expression differences for orthologous transcription factor genes could play an important role in orthologous expression discordance. We further detected largely orthologous divergence in differential expression between distinct embryonic stages. Collectively, our study uncovers significant orthologous divergence from multiple aspects, which may result in functional differences and dynamics between human-mouse orthologs during embryonic development.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 21%
Student > Master 3 16%
Student > Bachelor 2 11%
Lecturer > Senior Lecturer 1 5%
Student > Doctoral Student 1 5%
Other 1 5%
Unknown 7 37%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 21%
Agricultural and Biological Sciences 3 16%
Pharmacology, Toxicology and Pharmaceutical Science 2 11%
Veterinary Science and Veterinary Medicine 1 5%
Physics and Astronomy 1 5%
Other 1 5%
Unknown 7 37%
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 06 July 2016.
All research outputs
#21,453,736
of 23,947,846 outputs
Outputs from Science China Life Sciences
#839
of 1,062 outputs
Outputs of similar age
#316,066
of 359,555 outputs
Outputs of similar age from Science China Life Sciences
#24
of 27 outputs
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