Proteomic Patterns: Their Potential for Disease Diagnosis
Molecular and Cellular Endocrinology
Alterations in proteins abundance, structure, or function, act as useful indicators of pathological abnormalities prior to development of clinical symptoms and as such are often useful diagnostic and prognostic biomarkers. The underlying mechanism of diseases such as cancer are, however, quite complicated in that often multiple dysregulated proteins are involved. It is for this reason that recent hypotheses suggest that detection of panels of biomarkers may provide higher sensitivities and specificities for disease diagnosis than is afforded with single markers. Recently, a novel approach based on the analysis of protein patterns has emerged that may provide a more effective means to diagnose diseases, such as ovarian and prostate cancer. The method is based on the use of surface-enhanced laser desorption/ionization (SELDI) time-of-flight mass spectrometry (TOF-MS) to detect differentially captured proteins from clinical samples, such as serum and plasma. This analysis results in the detection of "proteomic" patterns that have been shown in recent investigations to distinguish diseased and unaffected subjects to varying degrees. This review will discuss the basics of SELDI protein chip technology and highlight its recent applications in disease biomarker discovery with emphasis on cancer diagnosis.
Alzheimer disease, biomarkers, neoplasms, proteomics, spectrometry, mass
Xiao, Zhen; Prieto, DaRue; Conrads, Thomas P.; Veenstra, Timothy D.; and Issaq, Haleem J., "Proteomic Patterns: Their Potential for Disease Diagnosis" (2005). Pharmaceutical Sciences Faculty Publications. 421.