Premium
Approaches for the quantification of protein concentration ratios
Author(s) -
Moritz Bernd,
Meyer Helmut E.
Publication year - 2003
Publication title -
proteomics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.26
H-Index - 167
eISSN - 1615-9861
pISSN - 1615-9853
DOI - 10.1002/pmic.200300581
Subject(s) - proteome , proteomics , intracellular , function (biology) , neurodegeneration , glycosylation , biology , quantitative proteomics , cell cycle , chemistry , biochemistry , computational biology , microbiology and biotechnology , cell , medicine , disease , pathology , gene
Abstract The function of a protein is modulated by its abundance and its degree of specific post‐translational modifications such as phosphorylation, glycosylation or truncation. Consequently, changes of protein concentration and the extent of their post‐translational modifications has a great influence on the activity of intracellular substrate degradation processes, on the activity of intracellular biosynthetic pathways, on the cell cycle or on the function of a single cell in a whole organism. Defects in this area lead to diseases like cancer or neurodegeneration. Therefore, it is a challenge to quantify changes within the proteome in the diseased state or between developmental stages and to use the results obtained for the maximization of product yields in biotechnology or for the development of new drug targets to fight against diseases. In order to determine the intracellular concentration of a protein it is necessary to spike the cell sample with the same protein in a pure form. If the concentration changes of many proteins have to be determined, it takes a long time to obtain all these proteins in a pure form. Therefore, most approaches in this field are restricted to the determination of protein abundance ratios between two states such as diseased or healthy tissues. In this case the proteins in the sample of state A function as an internal standard for the proteins in the sample of state B and vice versa. The most common techniques in this field are the comparison of two‐dimensional gel spot intensities after staining or the integration of mass spectrometric peak intensities after stable isotope labelling with 13 C, 15 N, 18 O or deuterium. The results, advantages and drawbacks of these approaches are discussed. Stable isotope labelling in combination with mass spectrometry is more accurate than the comparison of spot intensities and has the potential for the investigation of highly complex tissue samples.