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Gene expression profiling analysis of lung adenocarcinoma

Overview of attention for article published in Brazilian Journal of Medical and Biological Research, February 2016
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Title
Gene expression profiling analysis of lung adenocarcinoma
Published in
Brazilian Journal of Medical and Biological Research, February 2016
DOI 10.1590/1414-431x20154861
Pubmed ID
Authors

H. Xu, J. Ma, J. Wu, L. Chen, F. Sun, C. Qu, D. Zheng, S. Xu

Abstract

The present study screened potential genes related to lung adenocarcinoma, with the aim of further understanding disease pathogenesis. The GSE2514 dataset including 20 lung adenocarcinoma and 19 adjacent normal tissue samples from 10 patients with lung adenocarcinoma aged 45-73 years was downloaded from Gene Expression Omnibus. Differentially expressed genes (DEGs) between the two groups were screened using the t-test. Potential gene functions were predicted using functional and pathway enrichment analysis, and protein-protein interaction (PPI) networks obtained from the STRING database were constructed with Cytoscape. Module analysis of PPI networks was performed through MCODE in Cytoscape. In total, 535 upregulated and 465 downregulated DEGs were identified. These included ATP5D, UQCRC2, UQCR11 and genes encoding nicotinamide adenine dinucleotide (NADH), which are mainly associated with mitochondrial ATP synthesis coupled electron transport, and which were enriched in the oxidative phosphorylation pathway. Other DEGs were associated with DNA replication (PRIM1, MCM3, and RNASEH2A), cell surface receptor-linked signal transduction and the enzyme-linked receptor protein signaling pathway (MAPK1, STAT3, RAF1, and JAK1), and regulation of the cytoskeleton and phosphatidylinositol signaling system (PIP5K1B, PIP5K1C, and PIP4K2B). Our findings suggest that DEGs encoding subunits of NADH, PRIM1, MCM3, MAPK1, STAT3, RAF1, and JAK1 might be associated with the development of lung adenocarcinoma.

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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 7 21%
Student > Bachelor 5 15%
Student > Postgraduate 3 9%
Researcher 3 9%
Lecturer 2 6%
Other 6 18%
Unknown 8 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 32%
Medicine and Dentistry 4 12%
Computer Science 3 9%
Agricultural and Biological Sciences 2 6%
Neuroscience 2 6%
Other 2 6%
Unknown 10 29%