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

Abstract:

: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.

journal_name

Proteomics

journal_title

Proteomics

authors

Jeong SK,Kwon MS,Lee EY,Lee HJ,Cho SY,Kim H,Yoo JS,Omenn GS,Aebersold R,Hanash S,Paik YK

doi

10.1002/pmic.200800593

subject

Has Abstract

pub_date

2009-07-01 00:00:00

pages

3729-40

issue

14

eissn

1615-9853

issn

1615-9861

journal_volume

9

pub_type

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