Pathway

Protein-protein interaction network and mechanism analysis of hepatitis C

Y. Tang, Tang, Q., Dong, C., Li, X., Zhang, Z., and An, F., “Protein-protein interaction network and mechanism analysis of hepatitis C”, vol. 14, pp. 2069-2079, 2015.

We predicted potential genes and identified pathways associated with hepatitis C. The gene expression profiles of GSE40184 from blood samples and GSE38597 from liver biopsy samples were downloaded from the GEO database. Differentially expressed genes (DEGs) were recognized using the Limma Package. The Pearson correlation test was used to construct the co-expression network of DEGs. Gene set enrichment analysis was used to define significant functions and pathways for DEGs. A total of 165 DEGs in blood samples and 523 DEGs in liver biopsy samples were identified.

Analysis of signaling pathways in recurrent breast cancer

J. Z. Wu, Yang, T. J., Lu, P., and Ma, W., “Analysis of signaling pathways in recurrent breast cancer”, vol. 13, pp. 10097-10104, 2014.

Breast cancer remains the second largest cause of death in women from cancer. By analyzing gene expression profiles in samples from breast cancer patients, 844 differentially expressed genes (DEGs) were identified in breast cancer metastasis. The 10 most significant signaling pathways identified through enrichment analysis contained DEGs were involved in oxidative phosphorylation, DNA replication, extracellular matrix-receptor interactions and others.