A proteomic tool for protein identification from tandem mass spectral data

Instead of using the probability mean, a simple and yet effective heuristic approach was employed to treat experimentally obtained tandem mass spectrometry (MS/MS) data for protein identification. The proposed approach is based on the total number (T) of identified experimental MS/MS data. To warrant the subsequent ranking, the total number of identified b- and y-type ions (Tb+y) must be greater than 50% of T. Peptides having the same T and Tb+y are either ranked by the contiguity of identified ions or discarded during identification. When compared to other protein identification tools, good agreement with the searched results was seen.     

Independent component analysis for the extraction of reliable protein signal profiles from MALDI-TOF mass spectra

MOTIVATION: Independent component analysis (ICA) is a signal processing technique that can be utilized to recover independent signals from a set of their linear mixtures. We propose ICA for the analysis of signals obtained from large proteomics investigations such as clinical multi-subject studies based on MALDI-TOF MS profiling. The method is validated on simulated and experimental data for demonstrating its capability of correctly extracting protein profiles from MALDI-TOF mass spectra. RESULTS: The comparison on peak detection with an open-source and two commercial methods shows its superior reliability in reducing the false discovery rate of protein peak masses. Moreover, the integration of ICA and statistical tests for detecting the differences in peak intensities between experimental groups allows to identify protein peaks that could be indicators of a diseased state. This data-driven approach demonstrates to be a promising tool for biomarker-discovery studies based on MALDI-TOF MS technology. AVAILABILITY: The MATLAB implementation of the method described in the article and both simulated and experimental data are freely available at http://www.unich.it/proteomica/bioinf/.     

A prostate cancer tissue specific spectral library for targeted proteomic analysis

Prostate cancer is the most common cancer in males worldwide. Mass spectrometry-based targeted proteomics has demonstrated great potential in quantifying proteins from formalin-fixed paraffin-embedded (FFPE) and (fresh) frozen biopsy tissues. Here we provide a comprehensive tissue-specific spectral library for targeted proteomic analysis of prostate tissue samples. Benign and malignant FFPE prostate tissue samples were processed into peptide samples by pressure cycling technology (PCT)-assisted sample preparation, and fractionated with high-pH reversed phase liquid chromatography (RPLC). Based on data-dependent acquisition (DDA) MS analysis using a TripleTOF 6600, we built a library containing 108,533 precursors, 84,198 peptides and 9384 unique proteins (1% FDR). The applicability of the library was demonstrated in prostate specimens.     

Soft ionization mass spectral methods for lipid analysis

Chemical ionization (CI), field ionization (FI) and field desorption (FD) are sometimes preferable to electron impact (EI) mass spectrometry as methods for obtaining abundant high-mass ions from lipids. FD often provides mass spectral information which is unobtainable by other methods, and is the best method for obtaining molecular weight information. Fragment ions are observed in the spectra from all the ionization methods, which provide structural information complementing that obtainable from an EI spectrum. Using CI, high-mass ions carrying a large proportion of the total ionization current can be monitored by selected ion monitoring, resulting in enhanced sensitivity for quantitative studies in some cases.     

Evaluation of four phosphopeptide enrichment strategies for mass spectrometry-based proteomic analysis

Information about phosphorylation status can be used to prioritize and characterize biological processes in the cell. Various analytical strategies have been proposed to address the complexity of phosphorylation status and comprehensively identify phosphopeptides. In this study, we evaluated four strategies for phosphopeptide enrichment, using titanium dioxide (TiO₂) and Phos-tag ligand particles from in-gel or in-solution digests prior to mass spectrometry-based analysis. Using TiO₂ and Phos-tag magnetic beads, it was possible to enrich phosphopeptides from in-gel digests of phosphorylated ovalbumin separated by Phos-tag SDS-PAGE or in-solution serum digests, while minimizing non-specific adsorption. The tip-column strategy with TiO₂ particles enabled enrichment of phosphopeptides from in-solution digests of whole-cell lysates with high efficiency and selectivity. However, the tip-column strategy with Phos-tag agarose beads yielded the greatest number of identified phosphopeptides. The strategies using both types of tip columns had a high degree of overlap, although there were differences in selectivity between the identified phosphopeptides. Together, our results indicate that multi-enrichment strategies using TiO₂ particles and Phos-tag agarose beads are useful for comprehensive phosphoproteomic analysis.     

The use of mass spectrometry for the proteomic analysis of glycosylation

Of all protein PTMs, glycosylation is by far the most common, and is a target for proteomic research. Glycosylation plays key roles in controlling various cellular processes and the modifications of the glycan structures in diseases highlight the clinical importance of this PTM. Glycosylation analysis remains a difficult task. MS, in combination with modern separation methodologies, is one of the most powerful and versatile techniques for the structural analysis of glycoconjugates. This review describes methodologies based on MS for detailed characterization of glycoconjugates in complex biological samples at the sensitivity required for proteomic work.     

Experimental protein mixture for validating tandem mass spectral analysis

Several methods have been used to identify peptides that correspond to tandem mass spectra. In this work, we describe a data set of low energy tandem mass spectra generated from a control mixture of known protein components that can be used to evaluate the accuracy of these methods. As an example, these spectra were searched by the SEQUEST application against a human peptide sequence database. The numbers of resulting correct and incorrect peptide assignments were then determined. We show how the sensitivity and error rate are affected by the use of various filtering criteria based upon SEQUEST scores and the number of tryptic termini of assigned peptides.     

MALDI-TOF mass spectral analysis of siRNA degradation in serum confirms an RNAse A-like activity

Synthetic siRNA duplexes are used widely as reagents for silencing of mRNA targets in cells and are being developed for in vivo use. Serum stability is a major concern if siRNA is to be used for therapeutic delivery within blood circulation. We have developed the use of MALDI-TOF mass spectrometry as a rapid and convenient analytical tool to identify the most vulnerable sites within siRNA to serum degradation. Using this approach, we found that one siRNA duplex (Dh3) with UpA sequences close to one end was particularly vulnerable to rapid cleavage. This produced a fragment of mass consistent with the presence of a 2',3'-cyclic phosphate that was slowly hydrolysed to a 2'-(3'-)phosphate on extended incubation. Substitution of these sites with 2'-O-methyl U residues prevented cleavage and confirmed that the major pathway for initial degradation is via cleavage by an RNAse A-like activity. Mass spectral analysis was used to follow the serum degradation of siRNA over more prolonged periods to show the accumulation of many fragments, almost all showing cleavage following pyrimidine nucleoside residues. Overall, the MALDI-TOF mass spectral analysis technique should prove useful for preliminary screening of the serum stability of siRNA duplexes and for identification of the most vulnerable cleavage sites.     

The utility of ETD mass spectrometry in proteomic analysis

Mass spectrometry has played an integral role in the identification of proteins and their post-translational modifications (PTM). However, analysis of some PTMs, such as phosphorylation, sulfonation, and glycosylation, is difficult with collision-activated dissociation (CAD) since the modification is labile and preferentially lost over peptide backbone fragmentation, resulting in little to no peptide sequence information. The presence of multiple basic residues also makes peptides exceptionally difficult to sequence by conventional CAD mass spectrometry. Here we review the utility of electron transfer dissociation (ETD) mass spectrometry for sequence analysis of post-translationally modified and/or highly basic peptides. Phosphorylated, sulfonated, glycosylated, nitrosylated, disulfide bonded, methylated, acetylated, and highly basic peptides have been analyzed by CAD and ETD mass spectrometry. CAD fragmentation typically produced spectra showing limited peptide backbone fragmentation. However, when these peptides were fragmented using ETD, peptide backbone fragmentation produced a complete or almost complete series of ions and thus extensive peptide sequence information. In addition, labile PTMs remained intact. These examples illustrate the utility of ETD as an advantageous tool in proteomic research by readily identifying peptides resistant to analysis by CAD. A further benefit is the ability to analyze larger, non-tryptic peptides, allowing for the detection of multiple PTMs within the context of one another.     

Feature extraction in the analysis of proteomic mass spectra

Feature extraction or biomarker selection is a critical step in disease diagnosis and knowledge discovery based on protein MS. Many studies have discussed the classification methods applied in proteomics; however, few could be found to address feature extraction in detail. In this paper, we developed a systematic approach for the extraction of mass spectrum peak apex and peak area with special emphasis on noise filtration and peak calibration. Application to a head and neck cancer data generated at the Eastern Virginia Medical School [Wadsworth, J. T., Somers, K. D., Cazares, L. H., Malik, G. et al.., Clin. Cancer Res. 2004, 10, 1625-1632] revealed that the new feature extraction method would yield consistent and highly discriminatory biomarkers.     

隐睾小鼠与正常成年小鼠睾丸蛋白表达谱的差异分析

为使精原干细胞（spermatogonial stem cells,SSCs）在体外大量扩增,需要阐明SSCs自增殖机制。为筛选SSCs自增殖相关因子,探索SSCs自增殖机制,本研究选取10日龄昆明乳鼠行隐睾手术,术后35d分别取小鼠两侧睾丸。组织学分析结果显示,实验性隐睾中生殖细胞的分化停滞在精母细胞阶段,且只有少量的精母细胞出现,精原细胞的比例高于正常成年雄性小鼠（45日龄）。应用双向凝胶电泳分析隐睾小鼠与正常成年小鼠睾丸差异表达蛋白。结果显示,与正常成年小鼠相比,隐睾小鼠睾丸中有9种蛋白表达发生了显著变化,其中6种蛋白表达下调,3种上调。对9种差异表达蛋白点胶内酶切后进行质谱分析,其中4种蛋白分别鉴定为磷脂酰乙醇胺结合蛋白1（phosphatidylethanolamine-binding protein1,PEBP1）,HES—related basic helix-100p-helix protein（HERP）,Stathmin蛋白和一种未命名蛋白。本研究通过制作有效的隐睾动物模型,运用蛋白组学的技术方法,成功筛选并鉴定了4种隐睾相关蛋白,有助于探讨SSCs自增殖及隐睾引起雄性不育的机制。     

A comparative proteomic analysis of blood serum for developmental stages in pigs

This study aimed to differentiate genes at developmental stages of pigs from 0 to 150 days of age, to build up a protein database and to find candidate genetic markers for growth traits. The analysis of two‐dimensional electrophoresis and matrix‐assisted laser‐desorption/ionization mass spectrometry separated 252 protein segments. After successfully blasting the peptide sequences, the analysis confirmed 37 differentially expressed proteins that increased from birth to 150 days of age (type A), whereas the type B proteins presented the inverse pattern. The type C proteins included proteins that were expressed continuously throughout the developmental periods. A total of 319 primer sets for 33 genes were designed to find genetic variants using pooled DNA samples of Yorkshire pigs. Amplification products for all primer sets produced approximately 20 000 clones that were sequenced, and 48 candidate SNP sites were finalized for genotyping. A total of 475 animals were used for high throughput genotyping analysis. Among these, phenotype data of all 475 animals were collected for average daily gain, backfat thickness and days to 90 kg, whereas feed conversion data were collected for 300 animals and body measurement traits (starting weight, ending weight, body length, wither height and chest depth) were collected for 209 animals. Association analysis found significant statistical differences between the animals having genotypes of 13 SNPs (g.78935883C>T, g.147629986C>T, g.98266037T>C, g.214707340G>A, g.88350299C>T, g.17180956C>T, g.17181024C>T, g.2350283A>G, g.138361311C>T, g.44996379C>T, g.44996247A>C, g.107715245C>T, g.4149631C>T) for the various measured traits. The identified genetic polymorphisms, of which one was novel (g.214707340G>A), may serve as candidate molecular markers to change population means for the targeted growth traits.     

Discovery of laryngeal carcinoma by serum proteomic pattern analysis

Laryngealcarcinomaisthemostcommonma-lignancyamongtheheadandneckcarcinomas.Theincidenceoflaryngealcanceraccountsforapproxi-mately5%ofmalignanttumorsinthepopulationofdevelopedcountries[1].Laryngealcarcinomahasthreesubtypes,whichincludesupraglottis,glottisandsub-glottis.Amongthem,glottisisthemostcommononeandaffectsmorethan50%ofallthelaryngealcancerpatients.Thoughlaryngoscopyisthemainstayforla-ryngealcancerdetectionbecauseofitsgeneralavail-ability,diagnosisisconfirmedbybiopsyofthepri-marylesion.E…     

Discovery of laryngeal carcinoma by serum proteomic pattern analysis

Laryngeal carcinoma is the most common malignancy among head and neck tumors. The purpose of this study is to find biomarkers for laryngeal carcinoma in patient blood serum using the Surface Enhanced Laser Desorption/Ionization (SELDI) technique. Serum samples from 33 laryngeal carcinoma (12 cases of glottis, 18 of supraglottis and 3 of subglottis) patients and 31 age- and sex-matched healthy people were analyzed by SELDI-TOF on a ProteinChip reader, PBSII-C. Protein profiles were generated using WCX2 protein chips. Protein peak clustering and classification analyses were performed utilizing the Biomarker Wizard and Biomarker Pattern software packages, respectively. The results showed that sixteen peaks had significant difference between laryngeal cancer patients and healthy group, eight of which were up-regulated in the patient samples, and the others were down-regulated. Two protein peaks 8153 Da and 2035 Da were automatically chosen for the system training and development of a classification tree. The analysis yielded a correct percentage of 96.9% for patients and 96.7% for control. The results suggest that serum is a useful resource for the detection of specific biomarkers for laryngeal carcinoma. Proteinchip Array System was a useful tool for a high throughput screening of large-sized serum samples to discover potential biomarkers for carcinoma.     

Enrichment of integral membrane proteins for proteomic analysis using liquid chromatography-tandem mass spectrometry

An increasing number of proteomic strategies rely on liquid chromatography-tandem mass spectrometry (LC-MS/MS) to detect and identify constituent peptides of enzymatically digested proteins obtained from various organisms and cell types. However, sample preparation methods for isolating membrane proteins typically involve the use of detergents and chaotropes that often interfere with chromatographic separation and/or electrospray ionization. To address this problem, a sample preparation method combining carbonate extraction, surfactant-free organic solvent-assisted solubilization, and proteolysis was developed and demonstrated to target the membrane subproteome of Deinococcus radiodurans. Out of 503 proteins identified, 135 were recognized as hydrophobic on the basis of their calculated hydropathy values (GRAVY index), corresponding to coverage of 15% of the predicted hydrophobic proteome. Using the PSORT algorithm, 53 of the proteins identified were classified as integral outer membrane proteins and 215 were classified as integral cytoplasmic membrane proteins. All identified integral cytoplasmic membrane proteins had from 1 to 16 mapped transmembrane domains (TMDs), and 65% of those containing four or more mapped TMDs were identified by at least one hydrophobic membrane spanning peptide. The extensive coverage of the membrane subproteome (24%) by identification of highly hydrophobic proteins containing multiple TMDs validates the efficacy of the described sample preparation technique to isolate and solubilize hydrophobic integral membrane proteins from complex protein mixtures.