Open Access. Powered by Scholars. Published by Universities.®

Medicine and Health Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Pharmacy and Pharmaceutical Sciences

2003

Series

Proteomics

Articles 1 - 2 of 2

Full-Text Articles in Medicine and Health Sciences

The Use Of Urine Proteomic And Metabonomic Patterns For The Diagnosis Of Interstitial Cystitis And Bacterial Cystitis, Que N. Van, John R. Klose, David A. Lucas, Darue A. Prieto, Brian Luke, Jack Collins, Stanley K. Burt, Gwendolyn N. Chmurny, Haleem J. Issaq, Thomas P. Conrads, Timothy D. Veenstra, Susan K. Keay Jan 2003

The Use Of Urine Proteomic And Metabonomic Patterns For The Diagnosis Of Interstitial Cystitis And Bacterial Cystitis, Que N. Van, John R. Klose, David A. Lucas, Darue A. Prieto, Brian Luke, Jack Collins, Stanley K. Burt, Gwendolyn N. Chmurny, Haleem J. Issaq, Thomas P. Conrads, Timothy D. Veenstra, Susan K. Keay

Pharmaceutical Sciences Faculty Publications

The advent of systems biology approaches that have stemmed from the sequencing of the human genome has led to the search for new methods to diagnose diseases. While much effort has been focused on the identification of disease-specific biomarkers, recent efforts are underway toward the use of proteomic and metabonomic patterns to indicate disease. We have developed and contrasted the use of both proteomic and metabonomic patterns in urine for the detection of interstitial cystitis (IC). The methodology relies on advanced bioinformatics to scrutinize information contained within mass spectrometry (MS) and high-resolution proton nuclear magnetic resonance (1H-NMR) spectral patterns to …


Diagnostic Proteomics: Serum Proteomic Patterns For The Detection Of Early Stage Cancers, Li-Rong Yu, Ming Zhou, Thomas P. Conrads, Timothy D. Veenstra Jan 2003

Diagnostic Proteomics: Serum Proteomic Patterns For The Detection Of Early Stage Cancers, Li-Rong Yu, Ming Zhou, Thomas P. Conrads, Timothy D. Veenstra

Pharmaceutical Sciences Faculty Publications

The ability to interrogate thousands of proteins found in complex biological samples using proteomic technologies has brought the hope of discovering novel disease-specific biomarkers. While most proteomic technologies used to discover diagnostic biomarkers are quite sophisticated, "proteomic pattern analysis" has emerged as a simple, yet potentially revolutionary, method for the early diagnosis of diseases. Utilizing this technology, hundreds of clinical samples can be analyzed per day and several preliminary studies suggest proteomic pattern analysis has the potential to be a novel, highly sensitive diagnostic tool for the early detection of cancer.