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Dove Medical Press

Gene expression profile analysis of colorectal cancer to investigate potential mechanisms using bioinformatics

Overview of attention for article published in OncoTargets and therapy, April 2015
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Title
Gene expression profile analysis of colorectal cancer to investigate potential mechanisms using bioinformatics
Published in
OncoTargets and therapy, April 2015
DOI 10.2147/ott.s78974
Pubmed ID
Authors

Yubin Kou, Suya Zhang, Xiaoping Chen, Sanyuan Hu

Abstract

This study aimed to explore the underlying molecular mechanisms of colorectal cancer (CRC) using bioinformatics analysis. Using GSE4107 datasets downloaded from the Gene Expression Omnibus, the differentially expressed genes (DEGs) were screened by comparing the RNA expression from the colonic mucosa between 12 CRC patients and ten healthy controls using a paired t-test. The Gene Ontology (GO) functional and pathway enrichment analyses of DEGs were performed using the Database for Annotation, Visualization and Integrated Discovery (DAVID) software followed by the construction of a protein-protein interaction (PPI) network. In addition, hub gene identification and GO functional and pathway enrichment analyses of the modules were performed. A total of 612 up- and 639 downregulated genes were identified. The upregulated DEGs were mainly involved in the regulation of cell growth, migration, and the MAPK signaling pathway. The downregulated DEGs were significantly associated with oxidative phosphorylation, Alzheimer's disease, and Parkinson's disease. Moreover, FOS, FN1, PPP1CC, and CYP2B6 were selected as hub genes in the PPI networks. Two modules (up-A and up-B) in the upregulated PPI network and three modules (d-A, d-B, and d-C) in the downregulated PPI were identified with the threshold of Molecular Complex Detection (MCODE) Molecular Complex Detection (MCODE) score ≥4 and nodes ≥6. The genes in module up-A were significantly enriched in neuroactive ligand-receptor interactions and the calcium signaling pathway. The genes in module d-A were enriched in four pathways, including oxidative phosphorylation and Parkinson's disease. DEGs, such as FOS, FN1, PPP1CC, and CYP2B6, may be used as potential targets for CRC diagnosis and treatment.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 18%
Researcher 5 15%
Student > Master 4 12%
Student > Bachelor 3 9%
Student > Postgraduate 3 9%
Other 4 12%
Unknown 9 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 18%
Agricultural and Biological Sciences 4 12%
Medicine and Dentistry 4 12%
Computer Science 3 9%
Engineering 3 9%
Other 4 12%
Unknown 10 29%
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 29 April 2015.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from OncoTargets and therapy
#2,078
of 3,016 outputs
Outputs of similar age
#240,606
of 279,166 outputs
Outputs of similar age from OncoTargets and therapy
#25
of 37 outputs
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