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Profiling and bioinformatics analyses reveal differential circular RNA expression in radioresistant esophageal cancer cells

Overview of attention for article published in Journal of Translational Medicine, July 2016
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Title
Profiling and bioinformatics analyses reveal differential circular RNA expression in radioresistant esophageal cancer cells
Published in
Journal of Translational Medicine, July 2016
DOI 10.1186/s12967-016-0977-7
Pubmed ID
Authors

Huafang Su, Fuqiang Lin, Xia Deng, Lanxiao Shen, Ya Fang, Zhenghua Fei, Lihao Zhao, Xuebang Zhang, Huanle Pan, Deyao Xie, Xiance Jin, Congying Xie

Abstract

Acquired radioresistance during radiotherapy is considered as the most important reason for local tumor recurrence or treatment failure. Circular RNAs (circRNAs) have recently been identified as microRNA sponges and involve in various biological processes. The purpose of this study is to investigate the role of circRNAs in the radioresistance of esophageal cancer. Total RNA was isolated from human parental cell line KYSE-150 and self-established radioresistant esophageal cancer cell line KYSE-150R, and hybridized to Arraystar Human circRNA Array. Quantitative real-time PCR was used to confirm the circRNA expression profiles obtained from the microarray data. Bioinformatic tools including gene ontology (GO) analysis, KEGG pathway analysis and network analysis were done for further assessment. Among the detected candidate 3752 circRNA genes, significant upregulation of 57 circRNAs and downregulation of 17 circRNAs in human radioresistant esophageal cancer cell line KYSE-150R were observed compared with the parental cell line KYSE-150 (fold change ≥2.0 and P < 0.05). There were 9 out of these candidate circRNAs were validated by real-time PCR. GO analysis revealed that numerous target genes, including most microRNAs were involved in the biological processes. There were more than 400 target genes enrichment on Wnt signaling pathway. CircRNA_001059 and circRNA_000167 were the two largest nodes in circRNA/microRNA co-expression network. Our study revealed a comprehensive expression and functional profile of differentially expressed circRNAs in radioresistant esophageal cancer cells, indicating possible involvement of these dysregulated circRNAs in the development of radiation resistance.

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The data shown below were collected from the profiles of 4 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 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 74 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 24%
Student > Master 16 22%
Researcher 7 9%
Student > Bachelor 6 8%
Student > Postgraduate 5 7%
Other 9 12%
Unknown 13 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 30 41%
Agricultural and Biological Sciences 12 16%
Medicine and Dentistry 12 16%
Social Sciences 1 1%
Computer Science 1 1%
Other 2 3%
Unknown 16 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 21 October 2017.
All research outputs
#14,857,330
of 22,881,964 outputs
Outputs from Journal of Translational Medicine
#1,978
of 4,004 outputs
Outputs of similar age
#226,171
of 365,664 outputs
Outputs of similar age from Journal of Translational Medicine
#42
of 87 outputs
Altmetric has tracked 22,881,964 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,004 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 44th percentile – i.e., 44% of its peers scored the same or lower than it.
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 365,664 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 87 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.