By Topic

Pathway discovery by genome-wide, high-throughput, quantitative mass spectrometry

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Shuangshuang Jin ; Washington State Univ. Tri-Cities, Richland, WA ; Suleiman, A. ; Daly, D. ; Springer, D.
more authors

Genome-wide high-throughput mass spectrometry has emerged as an important new source of data on biological systems. This technology yields global information about the proteins expressed by an organism; consequently, biological processes can be studied without prior assumptions about the proteins that are involved. A profile of up- and down-regulated proteins is obtained which can be used to discover the gene-expression and cellular signaling pathways that underlie disease states and/or responses to treatments. Many data-manipulation steps are involved in obtaining pathway information from mass spectrometry of protease-digested complex mixtures of proteins. In this paper, we describe work to create a seamless data flow through these steps from peptide detection to queries of pathway databases based on patterns of up- and down-regulated proteins. Data from a mouse-model study of chronic obstructive pulmonary disease (COPD) are used to illustrate our results.

Published in:

Genomic Signal Processing and Statistics, 2008. GENSiPS 2008. IEEE International Workshop on

Date of Conference:

8-10 June 2008