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Dove Medical Press

Identification of epigenetically altered genes and potential gene targets in melanoma using bioinformatic methods

Overview of attention for article published in OncoTargets and therapy, December 2017
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13 Mendeley
Title
Identification of epigenetically altered genes and potential gene targets in melanoma using bioinformatic methods
Published in
OncoTargets and therapy, December 2017
DOI 10.2147/ott.s146663
Pubmed ID
Authors

Honghao Duan, Ke Jiang, Dengke Wei, Lijun Zhang, Deliang Cheng, Min Lv, Yuben Xu, Aimin He

Abstract

This study aimed to analyze epigenetically and genetically altered genes in melanoma to get a better understanding of the molecular circuitry of melanoma and identify potential gene targets for the treatment of melanoma. The microarray data of GSE31879, including mRNA expression profiles (seven melanoma and four melanocyte samples) and DNA methylation profiles (seven melanoma and five melanocyte samples), were downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) and differentially methylated positions (DMPs) were screened using the linear models for microarray data (limma) package in melanoma compared with melanocyte samples. Gene ontology (GO) and pathway enrichment analysis of the DEGs were carried out using the Database for Annotation, Visualization, and Integrated Discovery. Moreover, differentially methylated genes (DMGs) were identified, and a transcriptional regulatory network was constructed using the University of California Santa Cruz genome browser database. A total of 1,215 DEGs (199 upregulated and 1,016 downregulated) and 14,094 DMPs (10,450 upregulated and 3,644 downregulated) were identified in melanoma compared with melanocyte samples. Additionally, the upregulated and downregulated DEGs were significantly associated with different GO terms and pathways, such as pigment cell differentiation, biosynthesis, and metabolism. Furthermore, the transcriptional regulatory network showed that DMGs such as Aristaless-related homeobox (ARX), damage-specific DNA binding protein 2 (DDB2), and myelin basic protein (MBP) had higher node degrees. Our results showed that several methylated genes (ARX, DDB2, and MBP) may be involved in melanoma progression.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 15%
Student > Master 2 15%
Student > Postgraduate 2 15%
Researcher 2 15%
Student > Ph. D. Student 1 8%
Other 3 23%
Unknown 1 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 31%
Biochemistry, Genetics and Molecular Biology 3 23%
Medicine and Dentistry 3 23%
Neuroscience 1 8%
Engineering 1 8%
Other 0 0%
Unknown 1 8%
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 06 January 2018.
All research outputs
#16,053,755
of 25,382,440 outputs
Outputs from OncoTargets and therapy
#887
of 3,016 outputs
Outputs of similar age
#250,764
of 444,941 outputs
Outputs of similar age from OncoTargets and therapy
#19
of 73 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,016 research outputs from this source. They receive a mean Attention Score of 2.9. This one has gotten more attention than average, scoring higher than 67% 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 444,941 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 73 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.