Author(s): Liu FJ, Hua XF, Wang WJ
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Abstract Cancer is a complex disease caused by multiple factors including genetic mutations, and environmental factors. Cancer-associated proteins are potential biomarkers or targets for diagnostic and therapeutic interventions in cancer. The Universal Protein Resourse (UniPort) is a well-annotated comprehensive resourse for protein sequence records. In the present study, we performed data mining of Uniprot proteins as a proteomic resource. we generated a catalog of 1653 cancer-associated proteins including 344 secretory proteins and 300 cell surface proteins. Integrated bioinformatic analysis including ontological classification, functional enrichment and pathway construction were performed. These proteins could serve as a reference for further studies to discover cancer targets, and the enriched bioinformatic analysis provides new insights into cancer proteomics research.
This article was published in Oncol Rep
and referenced in Journal of Computer Science & Systems Biology