MCP Agilent Technologies
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH
 QUICK SEARCH:   [advanced]


     


A more recent version of this article appeared on May 1, 2008.
This Article
Right arrow Full Text (PDF)
Right arrow Supplemental Data
Right arrow All Versions of this Article:
M700411-MCP200v1
7/5/825    most recent
Right arrow Submit a response
Right arrow Alert me when this article is cited
Right arrow Alert me when eLetters are posted
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow Glossary
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Björling, E.
Right arrow Articles by Ponten, F.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Björling, E.
Right arrow Articles by Ponten, F.
Social Bookmarking
 Add to CiteULike   Add to Complore   Add to Connotea   Add to Del.icio.us   Add to Digg   Add to Reddit   Add to Technorati  
What's this?

Submitted on August 29, 2007
Revised on October 2, 2007
Accepted on October 3, 2007

A web-based tool for in silico biomarker discovery based on tissue-specific protein profiles in normal and cancer tissues

Erik Björling, Cecilia Lindskog, Per Oksvold, Jerker Linné, Caroline Kampf, Sophia Hober, Mathias Uhlen, and Fredrik Ponten

Gentetics and Pathology, Rudbeck Laboratory, Uppsala 75237

Corresponding Author: fredrik.ponten{at}genpat.uu.se

Here we report the development of a publicly available web-based analysis tool for exploring proteins expressed in a tissue- or cancer-specific manner. The search queries are based on the human tissue profiles in normal and cancer cells in the Human Protein Atlas portal and rely on the individual annotation performed by pathologists of images representing immunohistochemically stained tissue sections. Approximately 1.8 million images representing more than 3000 antibodies directed towards human proteins were used in the study. The search tool allows for the systematic exploration of the protein atlas, to discover potential protein biomarkers. Such biomarkers include tissue specific markers, cell type specific markers, tumor type specific markers, markers of malignancy and prognostic or predictive markers of cancers. Here we show examples of database queries to generate sets of candidate biomarker proteins for several of these different categories. Expression profiles of candidate proteins can then subsequently be validated by examination of the underlying high-resolution images. The present study shows examples of search strategies revealing several potential protein biomarkers, including proteins specifically expressed in normal cells and in cancer cells from specified tumor types. The lists of candidate proteins can be used as a starting point for further validation in larger patient cohorts using both immunological approaches and technologies employing more classical proteomics tools.


Add to CiteULike CiteULike   Add to Complore Complore   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us   Add to Digg Digg   Add to Reddit Reddit   Add to Technorati Technorati    What's this?





HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH
 All ASBMB Journals   Journal of Biological Chemistry 
 Journal of Lipid Research   ASBMB Today 
Copyright © 2007 by the American Society for Biochemistry and Molecular Biology.