First evidence of Gymnodimine D in Alexandrium ostenfeldii strain K-1354

Enhanced Peptide Identification by Electron Transfer Dissociation Using an Improved Mascot Percolator

Mass spectrometry-based unbiased analysis of the full complement of secretory peptides is expected to facilitate the identification of unknown biologically active peptides. However, tandem MS sequencing of endogenous peptides in their native form has proven difficult because they show size heterogeneity and contain multiple internal basic residues, the characteristics not found in peptide fragments produced by in vitro digestion. Endogenous peptides remain largely unexplored by electron transfer dissociation (ETD), despite its widespread use in bottom-up proteomics. We used ETD, in comparison to collision induced dissociation (CID), to identify endogenous peptides derived from secretory granules of a human endocrine cell line. For mass accuracy, both MS and tandem MS were analyzed on an Orbitrap. CID and ETD, performed in different LC-MS runs, resulted in the identification of 795 and 569 unique peptides (ranging from 1000 to 15000 Da), respectively, with an overlap of 397. Peptides larger than 3000 Da accounted for 54% in CID and 46% in ETD identifications. Although numerically outperformed by CID, ETD provided more extensive fragmentation, leading to the identification of peptides that are not reached by CID. This advantage was demonstrated in identifying a new antimicrobial peptide from neurosecretory protein VGF (non-acronymic), VGF[554-577]-NH2, or in differentiating nearly isobaric peptides (mass difference less than 2 ppm) that arise from alternatively spliced exons of the gastrin-releasing peptide gene. CID and ETD complemented each other to add to our knowledge of the proteolytic processing sites of proteins implicated in the regulated secretory pathway. An advantage of the use of both fragmentation methods was also noted in localization of phosphorylation sites. These findings point to the utility of ETD mass spectrometry in the global study of endogenous peptides, or peptidomics.

We present the first large scale study characterizing both N- and O-linked glycosylation in a site-specific manner on hundreds of proteins. We demonstrate that a lectin-affinity fractionation step using wheat germ agglutinin enriches not only peptides carrying intracellular O-GlcNAc, but also those bearing ER/Golgi-derived N- and O-linked carbohydrate structures. Liquid chromatography-MS (LC/MS) analysis with high accuracy precursor mass measurements and high sensitivity ion trap electron-transfer dissociation (ETD) were utilized for structural characterization of glycopeptides. Our results reveal both the identity of the precise sites of glycosylation and information on the oligosaccharide structures possible on these proteins. We report a novel iterative approach that allowed us to interpret the ETD data set directly without making prior assumptions about the nature and distribution of oligosaccharides present in our glycopeptide mixture. Over 2500 unique N- and O-linked glycopeptides were identified on 453 proteins. The extent of microheterogeneity varied extensively, and up to 19 different oligosaccharides were attached at a given site. We describe the presence of the well-known mucin-type structures for O-glycosylation, an EGF-domain-specific fucosylation and a rare O-mannosylation on the transmembrane phosphatase Ptprz1. Finally, we identified three examples of O-glycosylation on tyrosine residues.

(1) Liquid chromatography coupled to tandem mass spectrometry (LC/MS/MS) approach with selective reaction monitoring (SRM) allowed for the specific and sensitive quantitation of peptides. SRM is achieved via MS/MS utilizing collision-induced dissociation (CID) while monitoring unique precursor to product ion transitions. Low-energy CID tandem mass spectrometry has been, by far, the most common method used to dissociate peptide ions for sequence analysis. However, collisional scattering of product ions in CID results in decrease in intensity of the primary product ion. The lower intensity of the targeted product ion can lead to a reduction in the sensitivity of a quantitative method with SRM. Electron transfer dissociation (ETD) is a prevailing fragmentation method that can be complementary to CID and its utility in sequencing peptides containing post-translational modification. During the ETD reaction, there is a significantly shift toward nondissociative electron transfer as function of decreasing precursor ion charge for doubly charged peptides. In this study, we have developed a method utilizing ETD while monitoring unique precursor to charge reduced ion called selective electron transfer reaction monitoring (SETRM). For +2 and +3 precursor ion, more intense targeted ions for SETRM than SRM that is more suitable to quantify for trypsin digestion peptides. For [Glu1]-Fibrinopeptide B Human, 3 order linearity and excellent accuracy are observed in both SRM and SETRM. Moreover, SETRM provided more signal intensity, expecting to detect lower Limit of detection (LOD) due to a less signal loss compared to SRM analysis. Therefore, a new peptide qualitative and quantitative approach utilizing ETD technique as proteomic tool is provided here. (2) M0047286 is a rice TNG67 T-DNA insertion mutant showed dark-brown color in leaves, grains and hulls. Genes 286-10 and 286-14 flanked by the T-DNA insertion site is activated in the previous studies. Enzymatic assay using specific substracte by HPLC revealed that 286-10 and 286-14 had tryptophan decarboxylase (TDC) activity, which catalyzes the conversion of tryptophan into tryptamine. Using transgenic approach, transgenic rice Ubi::286-10 and Ubi::286-14 also showed dark-brown hulls. This study LC/MS/MS demonstrated that M0047286 and transgenic rice (Ubi::286-10 and Ubi::286-14) had serotonin compound higher than TNG 67. In vitro oxidation of serotonin by H2O2 and UV radiation results in the eventual formation of yellow and brown pigments, respectively. Mass spectrometry provided evidence for the dimeric serotonin species from UV radiation studies. The serotonin dimer compounds were also detected in M0047286 mutant plant and transgenic rice in LC/MS/MS studies. Some isoforms were detected in the serotonin dimeric sprcies The structure of these isoforms need to be elucidated in the future. In conclusion, the dimeric species of serotonin is strongly related to pigment on rice.

Recent emergence of new mass spectrometry techniques (e.g. electron transfer dissociation, ETD) and improved availability of additional proteases (e.g. Lys-N) for protein digestion in high-throughput experiments raised the challenge of designing new algorithms for interpreting the resulting new types of tandem mass (MS/MS) spectra. Traditional MS/MS database search algorithms such as SEQUEST and Mascot were originally designed for collision induced dissociation (CID) of tryptic peptides and are largely based on expert knowledge about fragmentation of tryptic peptides (rather than machine learning techniques) to design CID-specific scoring functions. As a result, the performance of these algorithms is suboptimal for new mass spectrometry technologies or nontryptic peptides. We recently proposed the generating function approach (MS-GF) for CID spectra of tryptic peptides. In this study, we extend MS-GF to automatically derive scoring parameters from a set of annotated MS/MS spectra of any type (e.g. CID, ETD, etc.), and present a new database search tool MS-GFDB based on MS-GF. We show that MS-GFDB outperforms Mascot for ETD spectra or peptides digested with Lys-N. For example, in the case of ETD spectra, the number of tryptic and Lys-N peptides identified by MS-GFDB increased by a factor of 2.7 and 2.6 as compared with Mascot. Moreover, even following a decade of Mascot developments for analyzing CID spectra of tryptic peptides, MS-GFDB (that is not particularly tailored for CID spectra or tryptic peptides) resulted in 28% increase over Mascot in the number of peptide identifications. Finally, we propose a statistical framework for analyzing multiple spectra from the same precursor (e.g. CID/ETD spectral pairs) and assigning p values to peptide-spectrum-spectrum matches.

Difference of Electron Capture and Transfer Dissociation Mass Spectrometry on Ni(2+)-, Cu(2+)-, and Zn(2+)-Polyhistidine Complexes in the Absence of Remote Protons.

The ability to identify isomers of human milk oligosaccharides (HMOs) remains a challenge. Typically, HMOs are analyzed using a combination of liquid chromatography and tandem mass spectrometry (LC-MS/MS). Yet, separation methods have been unable to resolve several HMO isomers, necessitating the need for fragmentation methods that can differentiate these structures within mixtures. Common fragmentation methods, such as collision-induced dissociation (CID), often fail to form fragments that can differentiate the linkage and branching isomers. Previously, we determined that electron transfer dissociation (ETD) yields distinct fragmentation products when using certain metal-charge carriers, such as Co2+. Here, we compare fragmentation methods, including CID, higher-energy collisional dissociation (HCD), ETD, and electron transfer, higher-energy collisional dissociation (EThcD) for Co2+- and Na+-adducted HMO isomers. The formation of several fragments using only ETD and EThcD, but not CID and HCD, indicates that certain fragmentation products only form from electron dissociation. EThcD enabled differentiation of Co2+-adducted tri-, tetra-, and pentasaccharide isomers, while CID, HCD, and ETD were incapable of differentiating all the examined HMO isomers as Co2+, Na+, and 2Na2+ adducts. We also show that Co2+ adduction combined with EThcD generates fragments that are related to the core structure and fucose branching location, allowing for further validation of the HMO structures. This work establishes a general method using fragmentation that can be used to differentiate HMOs, which should enable improved identification and structural validation of various carbohydrate linkage and branching isomers.

The emergence of efficient fragmentation methods such as electron capture dissociation (ECD) and electron transfer dissociation (ETD) provides the opportunity for detailed structural characterization of heavily covalently modified large peptides and small proteins such as intact histones. Even with effective gas phase ion isolation so that a single molecular precursor ion is selected, the MSMS spectrum of a heavily modified peptide may reveal the presence of a mixture of peptides with the same amino acid sequence and the same total number of posttranslational modification (PTM) moieties (same PTM composition) but with different PTM configurations or site-specific occupancy isoforms. Currently available data analysis methods depend on a deisotoping procedure, which becomes less effective when spectra (fragmentation patterns) contain many overlapping isotopic distributions. Peptide database search engines can only identify the most abundant PTM configuration (PTM arrangement on different residues) in such mixtures. To identify all the PTM configurations present in these mixtures and to estimate their relative abundances, we extended our fragment assignment by visual assistance program to search for ions representing all possible configurations, subjected to the total PTM composition constraint. This resulted in the identification of PTM configurations supported by unique fragment ions, and their relative abundances were estimated by use of a non-negative least squares procedure.

The six high-affinity insulin-like growth factor-binding proteins (IGFBPs) comprise a conserved family of secreted molecules that modulate IGF actions by regulating their half-life and access to signaling receptors, and also exert biological effects that are independent of IGF binding. IGFBPs are composed of cysteine-rich amino- (N-) and carboxyl- (C-) terminal domains, along with a cysteine-poor central linker segment. IGFBP-5 is the most conserved IGFBP, and contains 18 cysteines, but only 2 of 9 putative disulfide bonds have been mapped to date. Using a mass spectrometry (MS)-based strategy combining sequential electron transfer dissociation (ETD) and collision-induced dissociation (CID) steps, in which ETD fragmentation preferentially induces cleavage of disulfide bonds, and CID provides exact disulfide linkage assignments between liberated peptides, we now have definitively mapped 5 disulfide bonds in IGFBP-5. In addition, in conjunction with ab initio molecular modeling we are able to assign the other 4 disulfide linkages to within a GCGCCXXC motif that is conserved in five IGFBPs. Because of the nature of ETD fragmentation MS experiments were performed without chemical reduction of IGFBP-5. Our results not only establish a disulfide bond map of IGFBP-5 but also define a general approach that takes advantage of the specificity of ETD and the scalability of tandem MS, and the predictive power of ab initio molecular modeling to characterize unknown disulfide linkages in proteins.

Comparison of CID Versus ETD Based MS/MS Fragmentation for the Analysis of Protein Ubiquitination

The application of multiplexed isobaric tandem mass tag (TMT) labeling and an LTQ Orbitrap XL ETD (electron transfer dissociation) hybrid mass spectrometer as a direct approach for qualitative and quantitative characterization of glycoproteins is reported. Bovine fetuin was used as a model glycoprotein in this study. For online liquid chromatography-mass spectrometry (LC-MS) analysis, high-resolution, mass accurate full scan MS spectra were acquired in the Orbitrap mass analyzer followed by data-dependent tandem mass spectrometry (MS/MS) with alternating collision-induced dissociation (CID), ETD, and higher-energy collisional dissociation (HCD) scans. An additional in-source dissociation scan was used as a highly sensitive and selective detection method for eluting glycosylated peptides. By alternatively using three different dissociation methods, 23 glycoforms from all 5 corresponding glycopeptides were identified from a trypsin digest of bovine fetuin. With ETD, labile glycans were retained without any signs of carbohydrate cleavage with concurrent fragmentation of the peptide backbone. Glycosylation sites were clearly localized from the ETD fragmentation data. Glycan structure elucidation was accomplished using CID. The CID experiments generated fragment ions predominantly from cleavage of glycosidic bonds without breaking the peptide bond. Novel to this method, the TMT labeling protocol was modified and adapted for higher labeling efficiency, and a TriVersa NanoMate was used to reinfuse samples to improve ETD and HCD spectra of glycopeptides. Quantification with TMT was verified based on the HCD spectra from multiple nonglycopeptides and glycopeptides. This method can be used as a qualitative and quantitative technique for direct characterization of glycoproteins and has applicability for detection of counterfeit glycoprotein drug products.

Protein arginine methylation is emerging as a significant post-translational modification involved in various cell processes and human diseases. As the major arginine methylation enzyme, protein arginine methyltransferase 1 (PRMT1) strictly generates monomethylarginine and asymmetric dimethylarginine (ADMA), but not symmetric dimethylarginine (SDMA). The two types of dimethylarginines can lead to distinct biological outputs, as highlighted in the PRMT-dependent epigenetic control of transcription. However, it remains unclear how PRMT1 product specificity is regulated. We discovered that a single amino acid mutation (Met-48 to Phe) in the PRMT1 active site enables PRMT1 to generate both ADMA and SDMA. Due to the limited amount of SDMA formed, we carried out quantum mechanical calculations to determine the free energies of activation of ADMA and SDMA synthesis. Our results indicate that the higher energy barrier of SDMA formation (ΔΔG(‡) = 3.2 kcal/mol as compared with ADMA) may explain the small amount of SDMA generated by M48F-PRMT1. Our study reveals unique energetic challenges for SDMA-forming methyltransferases and highlights the exquisite control of product formation by active site residues in the PRMTs.

Electron Transfer Dissociation Parameter Optimization Using Design of Experiments Increases Sequence Coverage of Monoclonal Antibodies.

The use of electron transfer dissociation (ETD) fragmentation for analysis of peptides eluting in liquid chromatography tandem mass spectrometry experiments is increasingly common and can allow identification of many peptides and proteins in complex mixtures. Peptide identification is performed through the use of search engines that attempt to match spectra to peptides from proteins in a database. However, software for the analysis of ETD fragmentation data is currently less developed than equivalent algorithms for the analysis of the more ubiquitous collision-induced dissociation fragmentation spectra. In this study, a new scoring system was developed for analysis of peptide ETD fragmentation data that varies the ion type weighting depending on the precursor ion charge state and peptide sequence. This new scoring regime was applied to the analysis of data from previously published results where four search engines (Mascot, Open Mass Spectrometry Search Algorithm (OMSSA), Spectrum Mill, and X!Tandem) were compared (Kandasamy, K., Pandey, A., and Molina, H. (2009) Evaluation of several MS/MS search algorithms for analysis of spectra derived from electron transfer dissociation experiments. Anal. Chem. 81, 7170-7180). Protein Prospector identified 80% more spectra at a 1% false discovery rate than the most successful alternative searching engine in this previous publication. These results suggest that other search engines would benefit from the application of similar rules.

Here we report the fragmentation of disulfide linked intact proteins using activated-ion electron transfer dissociation (AI-ETD) for top-down protein characterization. This fragmentation method is then compared to the alternative methods of beam-type collisional activation (HCD), electron transfer dissociation (ETD), and electron transfer and higher-energy collision dissociation (EThcD). We analyzed multiple precursor charge states of the protein standards bovine insulin, α-lactalbumin, lysozyme, β-lactoglobulin, and trypsin inhibitor. In all cases, we found that AI-ETD provides a boost in protein sequence coverage information and the generation of fragment ions from within regions enclosed by disulfide bonds. AI-ETD shows the largest improvement over the other techniques when analyzing highly disulfide linked and low charge density precursor ions. This substantial improvement is attributed to the concurrent irradiation of the gas phase ions while the electron-transfer reaction is taking place, mitigating nondissociative electron transfer, helping unfold the gas phase protein during the electron transfer event, and preventing disulfide bond reformation. We also show that AI-ETD is able to yield comparable sequence coverage information when disulfide bonds are left intact relative to proteins that have been reduced and alkylated. This work demonstrates that AI-ETD is an effective fragmentation method for the analysis of proteins with intact disulfide bonds, dramatically enhancing sequence ion generation and total sequence coverage compared to HCD and ETD.