Phosphoproteomic analysis of distinct tumor cell lines in response to nocodazole treatment.

Here, we report for the first time a comparative phosphoproteomic analysis of distinct tumor cell lines in the presence or absence of the microtubule-interfering agent nocodazole. In total, 1525 phosphorylation sites assigned to 726 phosphoproteins were identified using LC-MS-based technology following phosphopeptide enrichment. Analysis of the amino acid composition surrounding the identified in vivo phosphorylation sites revealed that they could be classified into two motif groups: pSer-Pro and pSer-Asp/Glu. Phosphoproteomic change resulting from nocodazole treatment varied among cell lines in terms of the numbers of total phosphopeptides identified, motif groups, and functional annotation groups; however, the cell lines were equally sensitive to nocodazole. The identified phosphoproteome subset contained major signaling proteins and proteins known to be involved in mitosis, but did not always exhibit the same changes in the tumor cells from nocodazole treatment. In spite of the complex changes observed in the phosphorylation of many of the proteins, possible common features induced by nocodazole were found, including phosphorylation of nucleophosmin (NPM) S254 and coatomer protein complex, subunit alpha (COPA) S173, suggesting that the events are not cell-type specific but events generally occurring in mitosis or induced by a microtubule-interfering agent. Further, temporal analysis of phosphoproteome change revealed that phosphorylation of NPM S254 and COPA S173 was observed from the early (6 h) and late (24 h) time point after nocodazole treatment, respectively, suggesting that NPM S254 may be involved in the induction of M-phase arrest by nocodazole, whereas COPA S173 may be caused as a result of M-phase arrest.

Distinct cell surface proteome profiling by biotin labeling and glycoprotein capturing.

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.

Integration of proteomic analyses to monitor the activity status of phosphorylation signaling.

We performed here MS-based phosphoproteomics using both metal oxide affinity chromatography (pSTY proteomics) and anti-phosphotyrosine antibody (pY proteomics). The former method identified mainly phospho-serine and -threonine of nuclear or cytoplasmic proteins, whereas the latter did phosphotyrosine including more plasma membrane proteins and kinases. The overlap between these two methods was limited (24 tyrosine phosphorylation sites out of 325) and, by combining the two, coverage of the signaling molecules was enhanced as exemplified by Erk signaling. We also performed whole cell proteomics using an off-gel fractionator, and found 68.9% of the proteins identified by phosphoproteomics. Thus, the expression levels of phosphoproteins were roughly estimated. In addition to many uncharacterized phosphorylation sites, the dataset includes 136 sites that were experimentally verified elsewhere to be phosphorylated by a total of 83 kinases and kinase groups out of the 256 registered in the Phospho.ELM database. With the integration of various proteomic analyses and information from database, the responsible kinases of the identified phosphorylation sites and possibly their activity status were predicted by phosphorylation status and expression levels of their substrates, and thus our method may be able to monitor the activity status of phosphorylation signaling.

A software program for more reliable precursor ion assignation from LC-MS analysis using LTQ ultra zoom scan.

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.