Phosphotyrosine proteomic study of interferon alpha signaling pathway using a combination of immunoprecipitation and immobilized metal affinity chromatography.

Tyrosine phosphorylation is a type of post-translational modification that plays a crucial role in signal transduction. Thus, the study of this modification at the proteomic level has great biological significance. However, because of the low abundance of tyrosine-phosphorylated proteins in total cell lysate, it is difficult to evaluate the dynamics of tyrosine phosphorylation at a global level. In this work, proteins carrying phosphotyrosine (pTyr) were first purified from whole cell lysate by immunoprecipitation using anti-pTyr monoclonal antibodies. After tryptic digestion, phosphopeptides were further enriched by IMAC and analyzed by LC-MS. Quantitative changes of tyrosine phosphorylation at the global level were evaluated using isotopic labeling (introduced at the methyl esterification step prior to IMAC). Using this double enrichment approach, we characterized interferon alpha (IFNalpha)-induced pTyr proteomic changes in Jurkat cells. We observed induced phosphorylation on several well documented as well as novel tyrosine phosphorylation sites on proteins involved in IFNalpha signal transduction, such as Tyk2, JAK1, and IFNAR subunits. A specific site on alpha-tubulin (Tyr-271) was observed to be phosphorylated upon treatment as well. Furthermore, our results suggest that LOC257106, a CDC42 GAP-like protein, is potentially involved in this pathway.

Inverse labeling-mass spectrometry for the rapid identification of differentially expressed protein markers/targets.

Comparative proteomic studies can lead to the identification of protein markers for disease diagnostics and protein targets for potential disease interventions. An inverse labeling strategy based on the principle of protein stable isotope labeling and mass spectrometric detection has been successfully applied to three general protein labeling methods. In contrast to the conventional single experiment approach, two labeling experiments are performed in which the initial labeling is reversed in the second experiment. Signals from differentially expressed proteins will distinguish themselves by exhibiting a characteristic pattern of isotope intensity profile reversal that will lead to the rapid identification of these proteins. Application of the inverse labeling method is demonstrated using model systems for protein chemical labeling, protein proteolytic labeling, and protein metabolic labeling. The methodology has clear advantages which are illustrated in the various studies. The inverse labeling strategy permits quick focus on signals from differentially expressed proteins (markers/targets) and eliminates ambiguities caused by the dynamic range of detection. In addition, the inverse labeling approach enables the unambiguous detection of covalent changes of proteins responding to a perturbation.

Inverse 15N-metabolic labeling/mass spectrometry for comparative proteomics and rapid identification of protein markers/targets.

The inverse labeling/mass spectrometry strategy has been applied to protein metabolic (15)N labeling for gel-free proteomics to achieve the rapid identification of protein markers/targets. Inverse labeling involves culturing both the perturbed (by disease or by a drug treatment) and control samples each in two separate pools of normal and (15)N-enriched culture media such that four pools are produced as opposed to two in a conventional labeling approach. The inverse labeling is then achieved by combining the normal (14)N-control with the (15)N-perturbed sample, and the (15)N-control with the (14)N-perturbed sample. Both mixtures are then proteolyzed and analyzed by mass spectrometry (coupled with on-line or off-line separation). Inverse labeling overcomes difficulties associated with protein metabolic labeling with regard to isotopic peak correlation and data interpretation in the single-experiment approach (due to the non-predictable/variable mass difference). When two data sets from inverse labeling are compared, proteins of differential expression are readily recognized by a characteristic inverse labeling pattern or apparent qualitative mass shifts between the two inverse labeling analyses. MS/MS fragmentation data provide further confirmation and are subsequently used to search protein databases for protein identification. The methodology has been applied successfully to two model systems in this study. Utilizing the inverse labeling strategy, one can use any mass spectrometer of standard unit resolution, and acquire only the minimum, essential data to achieve the rapid and unambiguous identification of differentially expressed protein markers/targets. The strategy permits quick focus on the signals of differentially expressed proteins. It eliminates the detection ambiguities caused by the dynamic range of detection. Finally, inverse labeling enables the detection of covalent changes of proteins responding to a perturbation that one might fail to distinguish with a conventional labeling experiment.