Bioinformatic analysis

Prediction of genetic risk factors of atherosclerosis using various bioinformatic tools

H. X. Wang, Zhao, Y. X., Wang, H. X., Zhao, Y. X., Wang, H. X., and Zhao, Y. X., Prediction of genetic risk factors of atherosclerosis using various bioinformatic tools, vol. 15, p. -, 2016.

The aim of this study was to identify potential markers of atherosclerosis development in familial hypercholesterolemia (FH) patients. GSE13985 microarray data, generated using blood samples from 5 FH patients and 5 matched controls, was downloaded from the Gene Expression Omnibus. Differentially expressed genes (DEGs) between FH and controls were identified and a protein-protein interaction (PPI) network was constructed. Module and hub proteins were screened in this network.

Cloning, molecular characterization, and expression pattern of FGF5 in Cashmere goat (Capra hircus)

W. L. Bao, Yao, R. Y., He, Q., Guo, Z. X., Bao, C., Wang, Y. F., and Wang, Z. G., Cloning, molecular characterization, and expression pattern of FGF5 in Cashmere goat (Capra hircus), vol. 14, pp. 11154-11161, 2015.

Fibroblast growth factor 5 (FGF5) is a secreted signaling protein that belongs to the FGF family, and was found to be associated with hair growth in humans and other animals. The Inner Mongolia Cashmere goat (Capra hircus) is a goat breed that provides superior cashmere; this breed was formed by spontaneous mutation in China. Here, we report the cloning, molecular characterization, and expression pattern of the Cashmere goat FGF5. The cloned FGF5 cDNA was 813 base pairs (KM596772), including an open reading frame encoding a 270-amino-acid polypeptide.

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