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Protein phosphorylation is a central regulatory mechanism of cell signaling pathways. This highly controlled biochemical process is involved in most cellular functions, and defects in protein kinases and phosphatases have been implicated in many diseases, highlighting the importance of understanding phosphorylation-mediated signaling networks. However, phosphorylation is a transient modification, and phosphorylated proteins are often less abundant. Therefore, the large-scale identification and quantification of phosphoproteins and their phosphorylation sites under different conditions are one of the most interesting and challenging tasks in the field of proteomics. Both 2D gel electrophoresis and liquid chromatography-tandem mass spectrometry serve as key phosphoproteomic technologies in combination with prefractionation, such as enrichment of phosphorylated proteins/peptides. Recently, new possibilities for quantitative phosphoproteomic analysis have been offered by technical advances in sample preparation, enrichment, separation, instrumentation, quantification and informatics. In this article, we present an overview of several strategies for quantitative phosphoproteomics and discuss how phosphoproteomic analysis can help to elucidate signaling pathways that regulate various cellular processes.

We developed a software program (titled Precursor Ion Calibration software for LTQ or, in short, PICsL) that increases the reliability of precursor ion assignations from LC-MS analysis using ultra zoom scanning of LTQ linear ion trap MS and automatically corrects the assignations. Although existing software calculates the theoretical isotopic distribution according to m/z with a computational algorithm, our method simply searches for ions close to the theoretical mass value using both MS/MS raw data and Mascot search result files, followed by a second database search that identifies the proteins using the regenerated peak list files. Our software program mimics the manual inspection of the spectral data of precursor ions and is expected to be applicable not only for low resolution MS, such as LTQ, but also for a wide variety of MS instruments.

A protein subset expressed in the mouse embryonic stem (ES) cell line, E14-1, was characterized by mass spectrometry-based protein identification technology and data analysis. In total, 1790 proteins including 365 potential nuclear and 260 membrane proteins were identified from tryptic digests of total cell lysates. The subset contained a variety of proteins in terms of physicochemical characteristics, subcellular localization, and biological function as defined by Gene Ontology annotation groups. In addition to many housekeeping proteins found in common with other cell types, the subset contained a group of regulatory proteins that may determine unique ES cell functions. We identified 39 transcription factors including Oct-3/4, Sox-2, and undifferentiated embryonic cell transcription factor I, which are characteristic of ES cells, 88 plasma membrane proteins including cell surface markers such as CD9 and CD81, 44 potential proteinaceous ligands for cell surface receptors including growth factors, cytokines, and hormones, and 100 cell signaling molecules. The subset also contained the products of 60 ES-specific and 41 stemness genes defined previously by the DNA microarray analysis of Ramalho-Santos et al. (Ramalho-Santos et al., Science 2002, 298, 597-600), as well as a number of components characteristic of differentiated cell types such as hematopoietic and neural cells. We also identified potential post-translational modifications in a number of ES cell proteins including five Lys acetylation sites and a single phosphorylation site. To our knowledge, this study provides the largest proteomic dataset characterized to date for a single mammalian cell species, and serves as a basic catalogue of a major proteomic subset that is expressed in mouse ES cells.

Phospholipase C delta4 (PLCdelta4) is one of the delta-type PLC isozymes, the expression of which is induced in nuclei by treatment with serum and also in some cancer cells. We isolated and analyzed a promoter region of the murine PLCdelta4 gene. DNA sequence analysis showed that this region is GC-rich and has no TATA box, and the region from -143 to -127 was found, by luciferase activity and gel mobility-shift assay, to be essential for transcription of PLCdelta4. We also found that the promoter activity of PLCdelta4 was stimulated by treatment with growth factors such as bradykinin, lysophosphatidic acid, and Ca2+ ionophore in addition to serum. In parallel, we detected PLCdelta4 mRNA induction and an increase in complex formation of the promoter region and nuclear protein from HeLa cells on stimulation with these growth factors. Finally, we found that trapping the growth factor-induced cytoplasmic Ca2+-inhibited activation of the promoter activity and protein induction in nuclei. These results show that PLCdelta4 may have an important role in nuclei in response to growth factors, and its expression may be partially regulated by an increase in cytoplasmic Ca2+.

We performed here MS-based cell surface proteome profiling of HCT-116 cells by two distinct methods based on biotin labeling and glycoprotein capturing. In total, 742 biotinylated and 219 glycosylated proteins were identified by the biotin labeling and glycoprotein capturing, of which 224 and 138 proteins known to be located on plasma membrane were included, respectively, according to ingenuity pathway analysis. Although 104 plasma membrane proteins were identified by both methods, the rest of 154 were identified only by one. Almost all the identified plasma membrane proteins possessed consensus N-glycosylation sites, and proteins having various numbers of glycosylation sites were identified by both methods. Thus, the discrepancies of the identified proteins obtained from those two methods might not be only due to the number of glycosylation sites, but also to the expression and/or glycosylation level of the cell surface proteins. We also identified 312 N-glycosylated proteins from xenograft samples by glycoprotein capturing of which 135 were known as plasma membrane proteins. Although a number of highly-expressed plasma membrane proteins were common between culture and xenograft cells, some proteins showed culture- or xenograft-specific expression, suggesting that those proteins might contribute to grow in different environment.