MAIN


1996-2019 All Rights Reserved. Online Journal of Bioinformatics . You may not store these pages in any form except for your own personal use. All other usage or distribution is illegal under international copyright treaties. Permission to use any of these pages in any other way besides the  before mentioned must be gained in writing from the publisher. This article is exclusively copyrighted in its entirety to OJB publications. This article may be copied once but may not be, reproduced or  re-transmitted without the express permission of the editors. This journal satisfies the refereeing requirements (DEST) for the Higher Education Research Data Collection (Australia). Linking:To link to this page or any pages linking to this page you must link directly to this page only here rather than put up your own page.


OJBTM

 

 Online Journal of Bioinformatics  

 

Volume 8 (1) : 17-30, 2007.


Plasma Proteome Knowledgebase:Exploring Disease Biomarker Correlations

 

Iyer J, Srinivas VM, Khamari L, Sequeira JM, Das N, Periasamy UR, Bhate J

 

 

1 Molecular Connections Pvt. Ltd, Kandala Mansions, #2/2 Kariappa Road (South Cross Road), Basavanagudi, Bangalore 560004, India

 

ABSTRACT

 

Iyer J, Srinivas VM, Khamari L, Sequeira JM, Das N, Periasamy UR, Bhate J., Plasma Proteome Knowledgebase:  Exploring Disease Biomarker Correlations, Onl J Bioinform 8(1) : 17-30, 2007. Blood represents one of the most complex and dynamic mammalian proteomes. Quantitative analysis of plasma proteome for disease diagnosis has significant clinical relevance as it could reflect the pathophysiological state of the organism. Thus, a curated database of plasma proteins could aid in analyzing and interpreting the vast pool of available data.  The plasma protein database that has been developed in-house contains concentration values mined from literature that reflect alterations between normal versus disease conditions. In addition, there are significant differences in the levels of plasma proteins, influenced by genetics, sex, age, gender, physiological state etc. Analysis of potentially important plasma protein concentrations compiled in the database has allowed us to identify and validate potential biomarker-disease associations. A comprehensive, easy to access plasma protein database with defined concentration values has been created, and the process involved in its development is described. The plasma catalog provides a concise snapshot of more than 500 clinically significant proteins, the concentration range reflecting the pathophysiological state of the organism

 

Key Words: database, plasma, proteome, diagnosis, biomarker, concentration, disease


MAIN

 

FULL-TEXT (SUBSCRIPTION OR PURCHASE TITLE $25USD)