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Prediction of long noncoding RNA functions with co-expression network in esophageal squamous cell carcinoma

Overview of attention for article published in BMC Cancer, March 2015
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  • High Attention Score compared to outputs of the same age and source (81st percentile)

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Title
Prediction of long noncoding RNA functions with co-expression network in esophageal squamous cell carcinoma
Published in
BMC Cancer, March 2015
DOI 10.1186/s12885-015-1179-z
Pubmed ID
Authors

Yibin Hao, Wei Wu, Fachun Shi, Rodrigo JS Dalmolin, Ming Yan, Fu Tian, Xiaobing Chen, Guoyong Chen, Wei Cao

Abstract

Long non-coding RNAs (lncRNAs) are pervasively transcribed in the genome. They have important regulatory functions in chromatin remodeling and gene expression. Dysregulated lncRNAs have been studied in cancers, but their role in esophageal squamous cell carcinoma (ESCC) remains largely unknown. We have conducted lncRNA expression screening and a genome-wide analysis of lncRNA and coding gene expression on primary tumor and adjacent normal tissue from four ESCC patients, tend to understand the functionality of lncRNAs in carcinogenesis of esopheagus in combination with experimental and bioinformatics approach. LncRNA array was used for coding and non-coding RNA expression. R program and Bioconductor packages (limma and RedeR) were used for differential expression and co-expression network analysis, followed by independent confirmation and functional studies of inferred onco-lncRNA ESCCAL-1 using quantitative real time polymerase chain reaction, small interfering RNA-mediated knockdown, apoptosis and invasion assays in vitro. The global coding and lncRNA gene expression pattern is able to distinguish ESCC from adjacent normal tissue. The co-expression network from differentially expressed coding and lncRNA genes in ESCC was constructed, and the lncRNA function may be inferred from the co-expression network. LncRNA ESCCAL-1 is such an example as a predicted novel onco-lncRNA, and it is overexpressed in 65% of an independent ESCC patient cohort (n = 26). More over, knockdown of ESCCAL-1 expression increases esophageal cancer cell apoptosis and reduces the invasion in vitro. Our study uncovered the landscape of ESCC-associated lncRNAs. The systematic analysis of coding and lncRNAs co-expression network increases our understanding of lncRNAs in biological network. ESCCAL-1 is a novel putative onco-lncRNA in esophageal cancer development.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 1%
United States 1 1%
China 1 1%
Canada 1 1%
Unknown 63 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 27%
Researcher 13 19%
Student > Master 12 18%
Student > Bachelor 5 7%
Student > Doctoral Student 4 6%
Other 6 9%
Unknown 9 13%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 22 33%
Agricultural and Biological Sciences 20 30%
Medicine and Dentistry 6 9%
Computer Science 3 4%
Business, Management and Accounting 1 1%
Other 4 6%
Unknown 11 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 28 June 2023.
All research outputs
#6,604,566
of 24,081,774 outputs
Outputs from BMC Cancer
#1,634
of 8,553 outputs
Outputs of similar age
#73,714
of 267,259 outputs
Outputs of similar age from BMC Cancer
#43
of 232 outputs
Altmetric has tracked 24,081,774 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 8,553 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done well, scoring higher than 80% 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 267,259 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 232 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.