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)