pFind Studio: a computational solution for mass spectrometry-based proteomics



2013 or earlier




Large-scale global identification of protein lysine methylation in vivo
Epigenetics2013. Cao, Xing-Jun et al. Univ Penn, Dept Biochem & Biophys, Perelman Sch Med, Epigenet Program, 1009C Stellar Chance Labs, Philadelphia, PA 19104 USA
ABSTRACT:Lysine methylation mediated by methyltransferase enzymes is present on multiple proteins throughout the cell; however, methods to uncover and characterize global protein lysine methylation patterns do not readily exist. Here we developed pan-specific methyl lysine antibodies that we utilized in immunoprecipitation experiments coupled with mass spectrometry to yield one of the first large-scale surveys of protein lysine methylation in vivo. In total, 552 different lysine methylation sites were determined, making this one of the most comprehensive global studies published to date. The large majority of these sites have not been yet reported. These sites showed significantly enriched sequence motifs and resided in proteins that are involved in diverse biological processes, particularly in chromatin organization. Our data provide a comprehensive view of lysine methylation in human cells and a powerful resource to facilitate investigations into the function of lysine methylation on non-histone proteins.
Use: pFind



A hydrophilic immobilized trypsin reactor with N-vinyl-2-pyrrolidinone modified polymer microparticles as matrix for highly efficient protein digestion with low peptide residue
Journal of Chromatography A2012. Jiang, H et al. 457 Zhongshan Rd, Dalian 116023, Peoples R China.
ABSTRACT:In this work, a novel kind of N-vinyl-2-pyrrolidinone (NVP) modified poly acrylic ester microspheres was prepared, followed by trypsin immobilization to prepare a hydrophilic immobilized enzyme reactor (IMER), to achieve highly efficient protein digestion with low peptide residue. The nonspecific adsorption of peptides on such an IMER was evaluated by the in sequence digestion of bovine serum albumin (BSA) and myoglobin. Without NVP modification, both proteins could be identified after digestion by a 5 cm-length IMER, but 18 peptides of BSA were found in the digests of myoglobin caused by the nonspecific adsorption of the matrix. With NVP modification, the hydrophilicity of IMER was greatly improved, resulting in not only the sequence coverage of myoglobin increased from 63% to 73%, but also no residual peptides from BSA observed in myoglobin digests. Although the sequence coverages of proteins obtained by the IMER were comparable to those obtained by in-solution digestion, the digestion time was shortened from 24 h to 1 min. By such an IMER, a protein mixture, containing BSA, myoglobin, and cytochrome c (100, 1 and 0.01 mu g/mL, respectively), was digested, and all proteins were unambiguously identified with improved sequence coverages than that achieved by in-solution digestion. Furthermore, the hydrophilic IMER was also off-line coupled to nano-RPLC-ESI-MS/MS for the analysis of proteins extracted from yeast. After 1.5 min digestion, 271 protein groups with at least 2 distinct peptides were identified, much more than those obtained by 24 h in-solution digestion (192 protein groups), indicating the great potential of such an IMER for proteome analysis. (C) 2012 Elsevier B.V. All rights reserved.
Use: pFind; pXtract



Biphasic microreactor for efficient membrane protein pretreatment with a combination of formic acid assisted solubilization, on-column pH adjustment, reduction, alkylation, and tryptic digestion
Analytical chemistry2013. Zhao, Qun et al. Chinese Acad Sci, Dalian Inst Chem Phys, Key Lab Separat Sci Analyt Chem, Natl Chromatog R&A Ctr, Dalian 116023, Peoples R China
ABSTRACT:Combining good dissolving ability of formic acid (FA) for membrane proteins and excellent complementary retention behavior of proteins on strong cation exchange (SCX) and strong anion exchange (SAX) materials, a biphasic microreactor was established to pretreat membrane proteins at microgram and even nanogram levels. With membrane proteins solubilized by FA, all of the proteomics sample processing procedures, including protein preconcentration, pH adjustment, reduction, and alkylation, as well as tryptic digestion, were integrated into an "SCX-SAX" biphasic capillary column. To evaluate the performance of the developed microreactor, a mixture of bovine serum albumin, myoglobin, and cytochrome c was pretreated. Compared with the results obtained by the traditional in-solution process, the peptide recovery (93% vs 83%) and analysis throughput (3.5 vs 14 h) were obviously improved. The microreactor was further applied for the pretreatment of 14 mu g of membrane proteins extracted from rat cerebellums, and 416 integral membrane proteins (IMPs) (43% of total protein groups) and 103 transmembrane peptides were identified by two-dimensional nanoliquid chromatography-electrospray ionization tandem mass spectrometry (2D nano-LC-ESI-MS/MS) in triplicate analysis. With the starting sample preparation amount decreased to as low as 50 ng, 64 IMPs and 17 transmembrane peptides were identified confidently, while those obtained by the traditional in-solution method were 10 and 1, respectively. All these results demonstrated that such an "SCX-SAX" based biphasic microreactor could offer a promising tool for the pretreatment of trace membrane proteins with high efficiency and throughput.
Use: pFind; pXtract; pBuild



Comparison and optimization of strategies for a more profound profiling of the sialylated N-glycoproteomics in human plasma using metal oxide enrichment
Analytical and Bioanalytical Chemistry2013. Zhao, XY et al. Beijing Inst Radiat Med, Beijing Proteome Res Ctr, State Key Lab Prote, Beijing 102206, Peoples R China.
ABSTRACT:Glycosylation is an important posttranslational modification of proteins and plays a crucial role in both cellular functions and secretory pathways. Sialic acids (SAs), a family of nine-carbon-containing acidic monosaccharides, often terminate the glycan structures of cell surface molecules and secreted glycoproteins and perform an important role in many biological processes. Hence, a more profound profiling of the sialylated glycoproteomics may improve our knowledge of this modification and its effects on protein functions. Here, we systematically investigated different strategies to enrich the SA proteins in human plasma using a newly developed technology that utilizes titanium dioxide for sialylated N-glycoproteomics profiling by mass spectrometry. Our results showed that using a combination of a filter-aided sample preparation method, TiO2 chromatography, multiple enzyme digestion, and two-dimensional reversed-phase peptide fractionation led to a more profound profiling of the SA proteome. In total, 982 glycosylation sites in 413 proteins were identified, among which 37.8 % were newly identified, to establish the largest database of sialic acid containing proteins from human plasma.
Use: pFind



NSI and NSMT: usages of MS/MS fragment ion intensity for sensitive differential proteome detection and accurate protein fold change calculation in relative label-free proteome quantification
Analyst2012. Wu, Q et al. Chinese Acad Sci, Dalian Inst Chem Phys, Key Lab Separat Sci Analyt Chem, Natl Chromatog Res & Anal Ctr, Dalian 116023, Peoples R China.
ABSTRACT:Although widely applied in the label-free quantification of proteomics, spectral count (SC)-based abundance measurements suffer from the narrow dynamic range of attainable ratios, leading to the serious underestimation of true protein abundance fold changes, especially when studying biological samples that exhibit very large fold changes in protein expression. MS/MS fragment ion intensity, as an alternative to SC, has recently gained acceptance as the abundance feature of protein in label-free proteomic studies. Herein, we implemented two formats of MS/MS fragment ion intensity, Spectral Index (SI) and Summed MS/MS TIC (SMT), to alleviate this particular deficiency arising from SC. Both were in forms of replacing SC in the Normalized Spectral Abundance Factor (NSAF) formula, resulting in two algorithms, abbreviated as NSI and NSMT, respectively. The necessity of the normalization process was validated using a publicly available dataset. Furthermore, when applied to another well characterized benchmark dataset, both NSI and NSMT showed improved overall accuracy over NSAF for the relative quantification of proteomes. Hereinto, NSI enabled the sensitive detection of differentially expressed proteins, while NSMT ensured accurate calculation for protein abundance fold change. Therefore, the selective use of both algorithms might facilitate the screening and quantification of potential biomarkers on the proteome scale.
Use: pFind; pXtract; pBuild



Global Phosphoproteomic Analysis Reveals Diverse Functions of Serine/Threonine/Tyrosine Phosphorylation in the Model Cyanobacterium Synechococcus sp
Journal of proteome research2013. Yang, MK et al. Chinese Acad Sci, Inst Hydrobiol, Key Lab Algal Biol, Wuhan 430072, Peoples R China.
ABSTRACT:Increasing evidence shows that protein phosphorylation on serine (Ser), threonine (Thr), and tyrosine (Tyr) residues is one of the major post-translational modifications in the bacteria, involved in regulating a myriad of physiological processes. Cyanobacteria are one of the largest groups of bacteria and are the only prokaryotes capable of oxygenic photosynthesis. Many cyanobacteria strains contain unusually high numbers of protein kinases and phosphatases with specificity on Ser, Thr, and Tyr residues. However, only a few dozen phosphorylation sites in cyanobacteria are known, presenting a major obstacle for further understanding the regulatory roles of reversible phosphorylation in this group of bacteria. In this study, we carried out a global and site-specific phosphoproteomic analysis on the model cyanobacterium Synechococcus sp. PCC 7002. In total, 280 phosphopeptides and 410 phosphorylation sites from 245 Synechococcus sp. PCC 7002 proteins were identified through the combined use of protein/peptide prefractionation, TiO2 enrichment, and LC-MS/MS analysis. The identified phosphoproteins were functionally categorized into an interaction map and found to be involved in various biological processes such as two-component signaling pathway and photosynthesis. Our data provide the first global survey of phosphorylation in cyanobacteria by using a phosphoproteomic approach and suggest a wide-ranging regulatory scope of this modification. The provided data set may help reveal the physiological functions underlying Ser/Thr/Tyr phosphorylation and facilitate the elucidation of the entire signaling networks in cyanobacteria.
Use: pFind



c-Abl promotes osteoblast expansion by differentially regulating canonical and non-canonical BMP pathways and p16INK4a expression
Nature cell biology2012. Kua, Hui-Yi et al. Shanghai Jiao Tong Univ, Minist Educ, Bio X Inst, Key Lab Genet Dev & Neuropsychiat Disorders, Shanghai 200240, Peoples R China
ABSTRACT:Defects in stem cell renewal or progenitor cell expansion underlie ageing-related diseases such as osteoporosis. Yet much remains unclear about the mechanisms regulating progenitor expansion. Here we show that the tyrosine kinase c-Abl plays an important role in osteoprogenitor expansion. c-Abl interacts with and phosphorylates BMPRIA and the phosphorylation differentially influences the interaction of BMPRIA with BMPRII and the Tab1-Tak1 complex, leading to uneven activation of Smad1/5/8 and Erk1/2, the canonical and non-canonical BMP pathways that direct the expression of p(16INK4a). c-Abl deficiency shunts BMP signalling from Smad1/5/8 to Erk1/2, leading to p(16INK4a) upregulation and osteoblast senescence. Mouse genetic studies revealed that p16(INK4a) controls mesenchymal stem cell maintenance and osteoblast expansion and mediates the effects of c-Abl deficiency on osteoblast expansion and bone formation. These findings identify c-Abl as a regulator of BMP signalling pathways and uncover a role for c-Abl in p16(INK4a) expression and osteoprogenitor expansion.
Use: pFind



Mass defect-based pseudo-isobaric dimethyl labeling for proteome quantification
Analytical Chemistry2013. Zhou, Y et al. Chinese Acad Sci, Dalian Inst Chem Phys, Key Lab Separat Sci Analyt Chem, Natl Chromatog Res & Anal Ctr, Dalian, Peoples R China.
ABSTRACT:Discovering differentially expressed proteins in various biological samples requires proteome quantification methods with accuracy, precision, and wide dynamic range. This study describes a mass defect-based pseudo-isobaric dimethyl labeling (pIDL) method based on the subtle mass defect differences between C-12/C-13 and H-1/H-2. Lys-C protein digests were labeled with CD2O/(CD2O)-C-13 and reduced with NaCNBD3/NaCNBH3 as heavy and light isotopologues, respectively. The fragment ion pairs with mass differences of 5.84 mDa were resolved by high-resolution tandem mass spectrometry (MS/MS) and used for quantification. The pIDL method described here resulted in highly accurate and precise quantification results with approximately 100-fold dynamic range. Furthermore, the pIDL method was extended to 4-plex proteome quantification and applied to the quantitative analysis of proteomes from Hca-P and Hca-F, two mouse hepatocarcinoma ascites syngeneic cell lines with low and high lymph node metastasis rates.
Use: pXtract; pFind



The ovarian cancerderived secretory/releasing proteome: A repertoire of tumor markers
Proteomics2012. Zhang, Y et al. Dept Etiol & Carcinogenesis, POB 2258, Beijing 100021, Peoples R China.
ABSTRACT:Ovarian cancer is the most lethal gynecological malignancy worldwide, and early detection of this disease using serum or plasma biomarkers may improve its clinical outcome. In the present study, a large scale protein database derived from ovarian cancer was created to enable tumor marker discovery. First, primary organ cultures were established with the tumor tissues and corresponding normal tissues obtained from six ovarian cancer patients, and the serum-free conditioned medium (CM) samples were collected for proteomic analysis. The total proteins from the CM sample were separated by SDS-PAGE, digested with trypsin and then analyzed by LC-MS/MS. Combining data from the tumor tissues and the normal tissues, 1129 proteins were identified in total, of which those categorized as extracellular proteins and plasma membrane proteins accounted for 21.4% and 16.9%, respectively. For validation, three secretory proteins (NID1, TIMP2, and VCAN) involved in organ development-associated subnetwork, showed significant differences between their levels in the circulating plasma samples from ovarian cancer patients and healthy women. In conclusion, this ovarian cancer-derived protein database provides a credible repertoire of potential biomarkers in blood for this malignant disease, and deserves mining further.
Use: pFind



Integrated platform for proteome profiling with combination of microreversed phase based protein and peptide separation via online solvent exchange and protein
Analytical chemistry2012. Yuan, Huiming et al. Chinese Acad Sci, Natl Chromatog Res & Anal Ctr, Key Lab Separat Sci Analyt Chem, Dalian Inst Chem Phys, Dalian 116023, Peoples R China
ABSTRACT:An online integrated platform for proteome profiling was established, with the combination of protein separation by microreversed phase liquid chromatography (mu RPLC), online acetonitrile (ACN) removal, and pH adjustment by a hollow fiber membrane interface (HFMI), online digestion by an immobilized enzymatic microreactor (IMER), as well as peptide separation and proteins identification by mu RPLC or nano-RPLC-electrospray ionization tandem mass spectrometry (mu RPLC-ESI-MS/MS). To evaluate the performance of such a platform, a three-protein mixture with mass ranging from 5 to 500 ng was analyzed automatically. Compared to the offline counterpart, although similar protein sequence coverages were obtained by the integrated platform, the signal intensity of total ion chromatogram was improved by almost 4 times. In addition, such an integrated platform was further applied for the analysis of extracted proteins from rat brain. Compared to the results obtained by offline counterpart and traditional MudPIT approach under similar conditions, by the integrated platform, the identified protein group number was comparable, but the analysis time was shortened to less than half of that taken by the traditional approaches. All these results demonstrated that our developed integrated platform might offer a promising tool for high-throughput and large-scale profiling of proteomes.
Use: pFind; pXtract; pBuild