Literature DB >> 19639590

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

Seul-Ki Jeong1, 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.   

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.

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Year:  2009        PMID: 19639590     DOI: 10.1002/pmic.200800593

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  4 in total

Review 1.  Toward a molecular understanding of nanoparticle-protein interactions.

Authors:  Lennart Treuel; Gerd Ulrich Nienhaus
Journal:  Biophys Rev       Date:  2012-03-15

2.  Liverome: a curated database of liver cancer-related gene signatures with self-contained context information.

Authors:  Langho Lee; Kai Wang; Gang Li; Zhi Xie; Yuli Wang; Jiangchun Xu; Shaoxian Sun; David Pocalyko; Jong Bhak; Chulhong Kim; Kee-Ho Lee; Ye Jin Jang; Young Il Yeom; Hyang-Sook Yoo; Seungwoo Hwang
Journal:  BMC Genomics       Date:  2011-11-30       Impact factor: 3.969

3.  In-depth analysis of secretome and N-glycosecretome of human hepatocellular carcinoma metastatic cell lines shed light on metastasis correlated proteins.

Authors:  Xianyu Li; Jing Jiang; Xinyuan Zhao; Yan Zhao; Qichen Cao; Qing Zhao; Huanhuan Han; Jifeng Wang; Zixiang Yu; Bo Peng; Wantao Ying; Xiaohong Qian
Journal:  Oncotarget       Date:  2016-04-19

4.  Creation of a federated database of blood proteins: a powerful new tool for finding and characterizing biomarkers in serum.

Authors:  John Marshall; Peter Bowden; Jean Claude Schmit; Fay Betsou
Journal:  Clin Proteomics       Date:  2014-01-29       Impact factor: 3.988

  4 in total

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