Chunxia Song

Reversed-Phase-Reversed-Phase Liquid Chromatography Approach with High Orthogonality for Multidimensional Separation of Phosphopeptides

Protein phosphorylation regulates a series of important biological processes in eukaryotes. However, the phosphorylation sites found up to now are far below than that actually exists in proteins due to the extreme complexity of the proteome sample. Here a new reversed-phase-reversed-phase liquid chromatography (RP-RPLC) approach was developed for multidimensional separation of phosphopeptides. In this approach, a large number of fractions were collected from the first dimensional RPLC separation at high pH. And then these fractions were pooled every two fractions with equal time interval, one from the early eluted section and another one from the later eluted section. The pooled fractions were finally submitted to RPLC-tandem mass spectrometry (MS/MS) analysis at low pH. It was found the resulting 2D separation was highly orthogonal and yielded more than 30% phosphopeptide identifications over the conventional RP-RPLC approach. This study provides a powerful approach for efficient separation of phosphopeptides and global phosphorylation analysis, where the orthogonality of 2D separation is greatly improved and the first dimensional separation is of high resolution.

An enzyme assisted RP-RPLC approach for in-depth analysis of human liver phosphoproteome

UNLABELLED Protein phosphorylation is one of the most common post-translational modifications. It plays key roles in regulating diverse biological processes of liver tissues. To better understand the role of protein phosphorylation in liver functions, it is essential to perform in-depth phosphoproteome analysis of human liver. Here, an enzyme assisted reversed-phase-reversed-phase liquid chromatography (RP-RPLC) approach with both RPLC separations operated with optimized acidic mobile phase was developed. High orthogonal separation was achieved by trypsin digestion of the Glu-C generated peptides in the fractions collected from the first RPLC separation. The phosphoproteome coverage was further improved by using two types of instruments, i.e. TripleTOF 5600 and LTQ Orbitrap Velos. A total of 22,446 phosphorylation sites, corresponding to 6526 nonredundant phosphoproteins were finally identified from normal human liver tissues. Of these sites, 15,229 sites were confidently localized with Ascore≥13. This dataset was the largest phosphoproteome dataset of human liver. It can be a public resource for the liver research community and holds promise for further biology studies. BIOLOGICAL SIGNIFICANCE The enzyme assisted approach enabled the two RPLC separations operated both with optimized acidic mobile phases. The identifications from TripleTOF 5600 and Orbitrap Velos are highly complementary. The largest phosphoproteome dataset of human liver was generated.

Systematic Analysis of Protein Phosphorylation Networks From Phosphoproteomic Data

In eukaryotes, hundreds of protein kinases (PKs) specifically and precisely modify thousands of substrates at specific amino acid residues to faithfully orchestrate numerous biological processes, and reversibly determine the cellular dynamics and plasticity. Although over 100,000 phosphorylation sites (p-sites) have been experimentally identified from phosphoproteomic studies, the regulatory PKs for most of these sites still remain to be characterized. Here, we present a novel software package of iGPS for the prediction of in vivo site-specific kinase-substrate relations mainly from the phosphoproteomic data. By critical evaluations and comparisons, the performance of iGPS is satisfying and better than other existed tools. Based on the prediction results, we modeled protein phosphorylation networks and observed that the eukaryotic phospho-regulation is poorly conserved at the site and substrate levels. With an integrative procedure, we conducted a large-scale phosphorylation analysis of human liver and experimentally identified 9719 p-sites in 2998 proteins. Using iGPS, we predicted a human liver protein phosphorylation networks containing 12,819 potential site-specific kinase-substrate relations among 350 PKs and 962 substrates for 2633 p-sites. Further statistical analysis and comparison revealed that 127 PKs significantly modify more or fewer p-sites in the liver protein phosphorylation networks against the whole human protein phosphorylation network. The largest data set of the human liver phosphoproteome together with computational analyses can be useful for further experimental consideration. This work contributes to the understanding of phosphorylation mechanisms at the systemic level, and provides a powerful methodology for the general analysis of in vivo post-translational modifications regulating sub-proteomes.

A Fully Automated System with Online Sample Loading, Isotope Dimethyl Labeling and Multidimensional Separation for High-Throughput Quantitative Proteome Analysis

Multidimensional separation is often applied for large-scale qualitative and quantitative proteome analysis. A fully automated system with integration of a reversed phase-strong cation exchange (RP-SCX) biphasic trap column into vented sample injection system was developed to realize online sample loading, isotope dimethyl labeling and online multidimensional separation of the proteome samples. Comparing to conventionally manual isotope labeling and off-line fractionation technologies, this system is fully automated and time-saving, which is benefit for improving the quantification reproducibility and accuracy. As phosphate SCX monolith was integrated into the biphasic trap column, high sample injection flow rate and high-resolution stepwise fractionation could be easily achieved. Approximately 1000 proteins could be quantified in approximately 30 h proteome analysis, and the proteome coverage of quantitative analysis can be further greatly improved by prolong the multidimensional separation time. This system was applied to analyze the different protein expression level of HCC and normal human liver tissues. After three times replicated analysis, finally 94 up-regulated and 249 down-regulated (HCC/Normal) proteins were successfully obtained. These significantly regulated proteins are widely validated by both gene and proteins expression studies previously. Such as some enzymes involved in urea cycle, methylation cycle and fatty acids catabolism in liver were all observed down-regulated.

Phosphoproteome analysis of human liver tissue by long-gradient nanoflow LC coupled with multiple stage MS analysis

Reversible protein phosphorylation plays a critical role in liver development and function. Comprehensively cataloging the phosphoproteins and their phosphorylation sites in human liver tissue will facilitate the understanding of physiological and pathological mechanisms of liver. Owing to lacking of efficient approach to fractionate phosphopeptides, nanoflow‐RPLC with long‐gradient elution was applied to reduce the complexity of the phosphopeptides in this study. Two approaches were performed to further improve the coverage of phosphoproteome analysis of human liver tissue. In one approach, ten‐replicated long‐gradient LC‐MS/MS runs were performed to analyze the enriched phosphopeptides, which resulted in the localization of 1080 phosphorylation sites from 495 proteins. In another approach, proteins from liver tissue were first fractionated by SDS‐PAGE and then long‐gradient LC‐MS/MS analysis was performed to analyze the phosphopeptides derived from each fraction, which resulted in the localization of 1786 phosphorylation sites from 911 proteins. The two approaches showed the complementation in phosphoproteome analysis of human liver tissue. Combining the results of the two approaches, identification of 2225 nonredundant phosphorylation sites from 1023 proteins was obtained. The confidence of phosphopeptide identifications was strictly controlled with false discovery rate (FDR)≤1% by a MS2/MS3 target‐decoy database search approach. Among the localized 2225 phosphorylated sites, as many as 70.07% (1559 phosphorylated sites) were also reported by others, which confirmed the high confidence of the sites determined in this study. Considering the data acquired from low accuracy mass spectrometer and processed by a conservative MS2/MS3 target‐decoy approach, the number of localized phosphorylation sites obtained for human liver tissue in this study is quite impressive.

Improvement of the Quantification Accuracy and Throughput for Phosphoproteome Analysis by a Pseudo Triplex Stable Isotope Dimethyl Labeling Approach

Accurately quantifying the changes of phosphorylation level on specific sites is crucial to understand the role of protein phosphorylation in physiological and pathological processes. Here, a pseudo triplex stable isotope dimethyl labeling approach was developed to improve the accuracy and the throughput of comprehensive quantitative phosphoproteome analyses. In this strategy, two identical samples are labeled with light and heavy isotopes, respectively, while another comparative sample is labeled with an intermediate isotope. Two replicated quantification results were achieved in just one experiment, and the relative standard deviation (RSD) criterion was used to control the quantification accuracy. Compared with the conventional duplex labeling approach, the number of quantified phosphopeptides increased nearly 50% and the experimental time was reduced by 50% under the same quantification accuracy. Combined with the automated online reversed phase-strong cation exchange-reversed phase (RP-SCX-RP) multidimensional separation system, a comparative phosphoproteome analysis of hepatocellular carcinoma (HCC) and normal human liver tissues was performed. Over 1800 phosphopeptides corresponding to ~2000 phosphorylation sites were quantified reliably in a 42 h multidimensional analysis. The pro-directed motifs, which were mainly associated with the extracellular signal-regulated kinases (ERKs), were observed as being overrepresented in the regulated phosphorylation sites, and some quantification results of phosphorylation sites were validated by the other studies. Therefore, this pseudo triplex labeling approach was demonstrated as a promising alternative for the comprehensive quantitative phosphoproteome analysis.

Improve the coverage for the analysis of phosphoproteome of HeLa cells by a tandem digestion approach.

Complete coverage of all phosphorylation sites in a proteome is the ultimate goal for large-scale phosphoproteome analysis. However, only making use of one protease trypsin for protein digestion cannot cover all phosphorylation sites, because not all tryptic phosphopeptides are detectable in MS. To further increase the phosphoproteomics coverage of HeLa cells, we proposed a tandem digestion approach by using two different proteases. By combining the data set of the first Glu-C digestion and the second trypsin digestion, the tandem digestion approach resulted in the identification of 8062 unique phosphopeptides and 8507 phosphorylation sites in HeLa cells. The conventional trypsin digestion approach resulted in the identification of 3891 unique phosphopeptides and 4647 phosphorylation sites. It was found that the phosphorylation sites identified from the above two approaches were highly complementary. By combining above two data sets, in total we identified 10899 unique phosphopeptides and 11262 phosphorylation sites, corresponding to 3437 unique phosphoproteins with FDR < 1% at peptide level. We also compared the kinase motifs extracted from trypsin, Glu-C, or a second trypsin digestion data sets. It was observed that basophilic motifs were more frequently found in the trypsin and the second trypsin digestion data sets, and the acidic motifs were more frequently found in the Glu-C digestion data set. These results demonstrated that our tandem digestion approach is a good complement to the conventional trypsin digestion approach for improving the phosphoproteomics analysis coverage of HeLa cells.

Perspectives of Comprehensive Phosphoproteome Analysis Using Shotgun Strategy

Protein phosphorylation is a ubiquitous post-translational modification that regulates almost all cellular processes. The analysis of protein phosphorylation is challenging due to the high dynamic range and low abundance natures of the analyte. Shotgun based proteomics has emerged as a very useful platform to achieve a comprehensive phosphoproteome analysis in considerable depth. In the past few years, significant breakthroughs on the large scale phosphorylation analysis have been witnessed along with the great development of related technologies. The combination of effective enrichment materials, refined analysis workflows, new type of powerful mass spectrometers, and sophisticated bioinformatic tools greatly boost the performance of comprehensive phosphoproteome analysis. In this Perspective, we briefly reviewed recent technological developments on the enrichment materials, prefractionation workflows, and different mass spectrometry fragmentation modes as well as software tools for phosphoproteome identification and quantification. Then, we described the current challenges and potential directions for the future of comprehensive phosphoproteome analysis. We also provide perspectives on how to further improve the performance of related analysis methods and technologies.

Global Screening of CK2 Kinase Substrates by an Integrated Phosphoproteomics Workflow

Due to its constitutive activity and ubiquitous distribution, CK2 is the most pleiotropic kinase among the individual members of the protein kinase superfamily. Identification of CK2 substrates is vital to decipher its role in biological processes. However, only a limited number of CK2 substrates were identified so far. In this study, we developed an integrated phosphoproteomics workflow to identify the CK2 substrates in large scale. First, in vitro kinase reactions with immobilized proteomes were combined with quantitative phosphoproteomics to identify in vitro CK2 phosphorylation sites, which leaded to identification of 988 sites from 581 protein substrates. To reduce false positives, we proposed an approach by comparing these in vitro sites with the public databases that collect in vivo phosphorylation sites. After the removal of the sites that were excluded in the databases, 605 high confident CK2 sites corresponding to 356 proteins were retained. The CK2 substrates identified in this study were based on the discovery mode, in which an unbiased overview of CK2 substrates was provided. Our result revealed that CK2 substrates were significantly enriched in the spliceosomal proteins, indicating CK2 might regulate the functions of spliceosome.

Development of a combined chemical and enzymatic approach for the mass spectrometric identification and quantification of aberrant N-glycosylation

Direct mass spectrometric analysis of aberrant protein glycosylation is a challenge to the current analytical techniques. Except lectin affinity chromatography, no other glycosylation enrichment techniques are available for analysis of aberrant glycosylation. In this study, we developed a combined chemical and enzymatic strategy as an alternative for the mass spectrometric analysis of aberrant glycosylation. Sialylated glycopeptides were enriched with reverse glycoblotting, cleaved by endoglycosidase F3 and analyzed by mass spectrometry with both neutral loss triggered MS(3) in collision induced dissociation (CID) and electron transfer dissociation (ETD). Interestingly, a great part of resulted glycopeptides were found with fucose attached to the N-acetylglucosamine (N-GlcNAc), which indicated that the aberrant glycosylation that is carrying both terminal sialylation and core fucosylation was identified. Totally, 69 aberrant N-glycosylation sites were identified in sera samples from hepatocellular carcinoma (HCC) patients. Following the identification, quantification of the level of this aberrant glycosylation was also carried out using stable isotope dimethyl labeling and pooled sera sample from liver cirrhosis and HCC was compared. Six glycosylation sites demonstrated elevated level of aberrancy, which demonstrated that our developed strategy was effective in both qualitative and quantitative studies of aberrant glycosylation.