A new bioinformatics insight into human cancer-associated proteins.

نویسندگان

  • Fu-Jun Liu
  • Xiu-Feng Hua
  • Wen-Juan Wang
چکیده

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.

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عنوان ژورنال:
  • Oncology reports

دوره 27 6  شماره 

صفحات  -

تاریخ انتشار 2012