BiomarkerDigger: a versatile disease proteome database and analysis platform for the identification of plasma cancer biomarkers.

نویسندگان

  • Seul-Ki Jeong
  • Min-Seok Kwon
  • Eun-Young Lee
  • Hyoung-Joo Lee
  • Sang Yun Cho
  • Hoguen Kim
  • Jong Shin Yoo
  • Gilbert S Omenn
  • Ruedi Aebersold
  • Sam Hanash
  • Young-Ki Paik
چکیده

We have developed a proteome database (DB), BiomarkerDigger (http://biomarkerdigger.org) that automates data analysis, searching, and metadata-gathering function. The metadata-gathering function searches proteome DBs for protein-protein interaction, Gene Ontology, protein domain, Online Mendelian Inheritance in Man, and tissue expression profile information and integrates it into protein data sets that are accessed through a search function in BiomarkerDigger. This DB also facilitates cross-proteome comparisons by classifying proteins based on their annotation. BiomarkerDigger highlights relationships between a given protein in a proteomic data set and any known biomarkers or biomarker candidates. The newly developed BiomarkerDigger system is useful for multi-level synthesis, comparison, and analyses of data sets obtained from currently available web sources. We demonstrate the application of this resource to the identification of a serological biomarker for hepatocellular carcinoma by comparison of plasma and tissue proteomic data sets from healthy volunteers and cancer patients.

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عنوان ژورنال:
  • Proteomics

دوره 9 14  شماره 

صفحات  -

تاریخ انتشار 2009