Research Article

Analysis of FOS, BTG2, and NR4A in the function of renal medullary hypertension

Published: September 19, 2013
Genet. Mol. Res. 12 (3) : 3735-3741 DOI: https://doi.org/10.4238/2013.September.19.4
Cite this Article:
Y.B. Wu, W.D. Zang, W.Z. Yao, Y. Luo, B. Hu, L. Wang, Y.L. Liang (2013). Analysis of FOS, BTG2, and NR4A in the function of renal medullary hypertension. Genet. Mol. Res. 12(3): 3735-3741. https://doi.org/10.4238/2013.September.19.4
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Abstract

The aim of this study was to identify differentially expressed genes (DEGs) in renal medullary hypertension and reveal their pathogenic mechanisms. We downloaded the gene expression profile of GSE28360 from the Gene Expression Omnibus database. The profile included 14 samples (5 normal and 9 hypertension). The DEGs in normal and disease samples were distinguished with a false-discovery rate threshold of <0.05 and a fold-change value of >2 or <-2. We put the selected genes into the online program String 8.3 to obtain the protein-protein interaction network and selected the hub proteins. These hub proteins were then placed in the PANTHER database to determine hub protein-related pathways and explain their functions. Finally, we cleared up the single-nucleotide polymorphisms (SNPs) of the hub genes via combing with the National Center for Biotechnology SNP database. A total of 13 genes were identified as DEGs between normal and disease samples. Five selected hub proteins, B-cell translocation gene 2 (BTG2), FBJ murine osteosarcoma viral oncogene homolog (FOS), nuclear receptor subfamily 4, group A, member 1 (NR4A1), NR4A member 2 (NR4A2), and NR4A member 3 (NR4A3), were mainly related to angiogenesis and B-cell activation. After SNP analysis, 103, 103, 595, 150, and 493 SNPs were found to correspond to BTG2, FOS, NR4A1, NR4A2, and NR4A3, respectively. Our results suggest that pathways of angiogenesis and B-cell activation may involve in the progression of renal medulla hypertension.

The aim of this study was to identify differentially expressed genes (DEGs) in renal medullary hypertension and reveal their pathogenic mechanisms. We downloaded the gene expression profile of GSE28360 from the Gene Expression Omnibus database. The profile included 14 samples (5 normal and 9 hypertension). The DEGs in normal and disease samples were distinguished with a false-discovery rate threshold of 2 or BTG2, FOS, NR4A1, NR4A2, and NR4A3, respectively. Our results suggest that pathways of angiogenesis and B-cell activation may involve in the progression of renal medulla hypertension.