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Identification of 4438 novel lincRNAs involved in mouse pre-implantation embryonic development

Overview of attention for article published in Molecular Genetics and Genomics, November 2014
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Title
Identification of 4438 novel lincRNAs involved in mouse pre-implantation embryonic development
Published in
Molecular Genetics and Genomics, November 2014
DOI 10.1007/s00438-014-0952-z
Pubmed ID
Authors

Jie Lv, Hui Liu, Shihuan Yu, Hongbo Liu, Wei Cui, Yang Gao, Tao Zheng, Geng Qin, Jing Guo, Tiebo Zeng, Zhengbin Han, Yan Zhang, Qiong Wu

Abstract

Long intergenic non-coding RNAs (lincRNAs) as a key group of non-coding RNAs have gained substantial attention. Though lincRNAs have been systematically explored in various mouse tissues and cell lines, large-scale identification of lincRNAs in mouse pre-implantation embryonic development (PED) process has not be documented previously. Therefore, it is important to identify and characterize novel lincRNAs that may be involved in PED. In this paper, we performed transcriptome assembly based on published single-cell RNA-seq data during mouse PED and identified 4,438 putative lincRNAs. Combining these with Ensembl lincRNAs, we established a reference catalog of 5,808 transcribed lincRNAs in PED. We then systematically analyzed the lincRNAs in this reference catalog and revealed that the identified novel PED lincRNAs are generally comparable with known Ensembl lincRNAs in genomic aspects. In addition, the global expression patterns can be separated by zygote first cleavage division in clustering analysis and we further identified and analyzed differentially expressed lincRNAs involved in this process. The expression of lincRNAs involved in the process is negatively correlated with promoter methylation in trend. The identified lincRNAs involved in zygote first cleavage division could have important roles in mouse early embryonic development and need further functional studies. Altogether, a novel reference catalog of mouse PED lincRNAs is provided and characterized, which would be a valuable resource for further functional analyses and may help elucidate the pre-implantation regulatory mechanism.

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Geographical breakdown

Country Count As %
United Kingdom 1 4%
United States 1 4%
Unknown 23 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 28%
Student > Bachelor 4 16%
Student > Ph. D. Student 4 16%
Professor 1 4%
Student > Master 1 4%
Other 3 12%
Unknown 5 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 32%
Biochemistry, Genetics and Molecular Biology 4 16%
Medicine and Dentistry 2 8%
Physics and Astronomy 1 4%
Computer Science 1 4%
Other 2 8%
Unknown 7 28%
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 08 December 2014.
All research outputs
#19,944,994
of 25,374,647 outputs
Outputs from Molecular Genetics and Genomics
#2,884
of 3,318 outputs
Outputs of similar age
#260,106
of 369,398 outputs
Outputs of similar age from Molecular Genetics and Genomics
#10
of 30 outputs
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