Differentially expressed gene

Identification of smut-responsive genes in sugarcane using cDNA-SRAP

N. Huang, Zhang, Y. Y., Xiao, X. H., Huang, L., Wu, Q. B., Que, Y. X., and Xu, L. P., Identification of smut-responsive genes in sugarcane using cDNA-SRAP, vol. 14, pp. 6808-6818, 2015.

Sugarcane smut, caused by the fungus Sporisorium scitamineum, is one of the main diseases that affect sugarcane worldwide. In the present study, the cDNA-SRAP technique was used to identify genes that are likely to be involved in the response of sugarcane to S. scitamineum infection. In total, 21 bands with significant differential expression during cDNA-SRAP analysis were cloned and sequenced.

Identification and functional analysis of differentially expressed genes related to obesity using DNA microarray

J. Y. Du, Yang, H., Tian, D. R., Wang, Q. M., and He, L., Identification and functional analysis of differentially expressed genes related to obesity using DNA microarray, vol. 13, pp. 64-72, 2014.

We looked for differentially expressed genes at different stages of preadipocyte differentiation and examined their functions, based on DNA microarrays of preadipocytes obtained from healthy subjects undergoing cosmetic liposuction. We downloaded gene expression profile GSE25910 from the Gene Expression Omnibus database and identified the differentially expressed genes with packages in R language. The selected differentially expressed genes were further analyzed using bioinformatics methods.

Protein-protein interaction network analysis of osteoarthritis-related differentially expressed genes

Y. C. Zhu, Deng, B. Y., Zhang, L. G., Xu, P., Du, X. P., Zhang, Q. G., and Yang, B., Protein-protein interaction network analysis of osteoarthritis-related differentially expressed genes, vol. 13, pp. 9343-9351, 2014.

The purpose of this study was to identify genes and pathways for osteoarthritis (OA) diagnosis and therapy. We downloaded the gene expression profile of OA from Gene Expression Omnibus (GEO) database including 10 early OA, 9 late OA, and 5 normal control samples. Next, we screened differentially expressed genes (DEGs) between early- and late-stage OA samples comparing with healthy control samples.

Genes associated with disc degeneration identified using microarray gene expression profiling and bioinformatics analysis

Y. Chen, Chen, K., Li, M., Li, C., Ma, H., Bai, Y. S., Zhu, X. D., and Fu, Q., Genes associated with disc degeneration identified using microarray gene expression profiling and bioinformatics analysis, vol. 12, pp. 1431-1439, 2013.

Disc degeneration is strongly associated with back or neck pain, sciatica, and disc herniation or prolapse. It places an enormous economic burden on society and can greatly affect quality of life. Alternative treatment approaches, such as genetic therapies, are urgently needed to slow or reverse the disc degeneration process. We downloaded gene expression data from Gene Expression Omnibus during various stages of disc degeneration and identified differentially expressed genes (DEGs) as well as dysfunctional pathways through comparisons with controls.

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

Y. B. Wu, Zang, W. D., Yao, W. Z., Luo, Y., Hu, B., Wang, L., and Liang, Y. L., Analysis of FOS, BTG2, and NR4A in the function of renal medullary hypertension, vol. 12, pp. 3735-3741, 2013.

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.

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