The Human Urinary Proteome Fingerprint Database UPdb. (9th October 2013)

• Record Type: Journal Article
• Authors: Husi, Holger; Barr, Janice B.; Skipworth, Richard J. E.; Stephens, Nathan A.; Greig, Carolyn A.; Wackerhage, Henning; Barron, Rona; Fearon, Kenneth C. H.; Ross, James A.
• Other Names: Link Andrew J. Academic Editor.
• Is Part Of: International journal of proteomics. Volume 2013(2013)
• Publication Date: 2013-10-09
• Subjects: Proteomics -- Periodicals; Proteomics; Proteomics; Electronic journals; Periodical; Fulltext; Internet Resources; Periodicals; Periodicals; 572.6
• DOI: 10.1155/2013/760208
• Languages: English
• ISSNs: 2090-2166

Abstract

Abstract : The use of human urine as a diagnostic tool has many advantages, such as ease of sample acquisition and noninvasiveness. However, the discovery of novel biomarkers, as well as biomarker patterns, in urine is hindered mainly by a lack of comparable datasets. To fill this gap, we assembled a new urinary fingerprint database. Here, we report the establishment of a human urinary proteomic fingerprint database using urine from 200 individuals analysed by SELDI-TOF (surface enhanced laser desorption ionisation-time of flight) mass spectrometry (MS) on several chip surfaces (SEND, HP50, NP20, Q10, CM10, and IMAC30). The database currently lists 2490 unique peaks/ion species from 1172 nonredundant SELDI analyses in the mass range of 1500 to 150000. All unprocessed mass spectrometric scans are available as ".xml" data files. Additionally, 1384 peaks were included from external studies using CE (capillary electrophoresis)-MS, MALDI (matrix assisted laser desorption/ionisation), and CE-MALDI hybrids. We propose to use this platform as a global resource to share and exchange primary data derived from MS analyses in urinary research.