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A computationally constructed ceRNA interaction network based on a comparison of the SHEE and SHEEC cell lines

Overview of attention for article published in Cellular & Molecular Biology Letters, September 2016
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4 tweeters

Citations

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30 Dimensions

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20 Mendeley
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Title
A computationally constructed ceRNA interaction network based on a comparison of the SHEE and SHEEC cell lines
Published in
Cellular & Molecular Biology Letters, September 2016
DOI 10.1186/s11658-016-0022-0
Pubmed ID
Authors

Jiachun Sun, Junqiang Yan, Xiaozhi Yuan, Ruina Yang, Tanyou Dan, Xinshuai Wang, Guoqiang Kong, Shegan Gao

Abstract

Long non-coding RNAs (lncRNAs) play critical and complicated roles in the regulation of various biological processes, including chromatin modification, transcription and post-transcriptional processing. Interestingly, some lncRNAs serve as miRNA "sponges" that inhibit interaction with miRNA targets in post-transcriptional regulation. We constructed a putative competing endogenous RNA (ceRNA) network by integrating lncRNA, miRNA and mRNA expression based on high-throughput RNA sequencing and microarray data to enable a comparison of the SHEE and SHEEC cell lines. Using Targetscan and miRanda bioinformatics algorithms and miRTarbase microRNA-target interactions database, we established that 51 miRNAs sharing 13,623 MREs with 2260 genes and 82 lncRNAs were involved in this ceRNA network. Through a biological function analysis, the ceRNA network appeared to be primarily involved in cell proliferation, apoptosis, the cell cycle, invasion and metastasis. Functional pathway analyses demonstrated that the ceRNA network potentially modulated multiple signaling pathways, such as the MAPK, Ras, HIF-1, Rap1, and PI3K/Akt signaling pathways. These results might provide new clues to better understand the regulation of the ceRNA network in cancer.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 15%
Researcher 3 15%
Student > Bachelor 2 10%
Student > Master 2 10%
Other 1 5%
Other 1 5%
Unknown 8 40%
Readers by discipline Count As %
Medicine and Dentistry 5 25%
Biochemistry, Genetics and Molecular Biology 2 10%
Immunology and Microbiology 2 10%
Computer Science 1 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 5%
Other 2 10%
Unknown 7 35%

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 14 July 2017.
All research outputs
#9,833,502
of 15,461,975 outputs
Outputs from Cellular & Molecular Biology Letters
#78
of 281 outputs
Outputs of similar age
#156,684
of 270,232 outputs
Outputs of similar age from Cellular & Molecular Biology Letters
#1
of 1 outputs
Altmetric has tracked 15,461,975 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 281 research outputs from this source. They receive a mean Attention Score of 1.9. This one has gotten more attention than average, scoring higher than 64% 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 270,232 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them