Fragmentation characteristics of glycopeptides

Mass spectrometric analysis of glycopeptides is an emerging strategy for analysis of glycosylation patterns. Here we present an approach using energy resolved collision induced decomposition (CID) spectra to determine structural features of glycopeptides. Fragmentation of multiply protonated glycopeptides proceeds by a series of competing charge separation processes by cleavage of a glycosidic bond, each producing two charged products: a singly charged, “B” type sugar (oxonium) ion, and a complementary high mass fragment. Energy requirements (activation energies) of these processes are similar to each other, and are far less, than that required for peptide fragmentation. At higher collision energies these first generation products fragment further, yielding a complex fragmentation pattern. Analysis of low energy spectra (those corresponding to ca. 50% survival yield) are straightforward; the ions observed correspond to structural features present in the oligosaccharide, and are not complicated by consecutive reactions. This makes it feasible to identify and distinguish antenna- and core-fucosylated isomers; antenna fucosylation usually suggests presence of the Lewis-X antigen. In general, analysis of the triply protonated molecules are most advantageous, where neutral losses and monosaccharide oxonium ion formation are less abundant

Simple correction improving long-term reproducibility of HPLC-MS

Summary Signal intensities in long series of HPLC-MS experiments often vary, which decrease reproducibility and may cause bias in the results. It was found that the sensitivity of various components change differently; in our case variability is in the order of 20-40%; and it is most likely due to changing conditions in ESI ionization. The most often used intensity correction methods do not take this effect into account. The change in signal intensities (peak areas) can be well described by a polynomial function; we found that a 4th order polynomial is most often suitable. We suggest a simple correction algorithm based on polynomial fitting. When the experiments were inherently well reproducible, this correction improved reproducibility from 12% to 3% (on average for various components). When random errors were larger, this improvement was less significant (15% to 12% in nano-ESI), but nevertheless essential in order to avoid possible bias in the results

HPLC enrichment/isolation of proteins for post-translational modification studies from complex mixtures

The paper describes a macroporous RP-HPLC method for separation and isolation/enrichment of proteins from complex mixtures. The method is robust and efficient; using 2.1 or 4.6 mm diameter columns provides sufficient material for subsequent proteomic analysis. The main advantage of the method is that most protein variants are isolated in the same fraction, as separation is not based on differences in isoelectric point. This is highly advantageous for studying complex mixtures and post-translational modifications. Examples related to glycosylation analysis are discussed in detail

Changes of protein glycosylation in the course of radiotherapy

This is the first study of changes in protein glycosylation due to exposure of human subjects to ionizing radiation. Site specific glycosylation patterns of 7 major plasma proteins were analyzed; 171 glycoforms were identified; and the abundance of 99 of these was followed in the course of cancer radiotherapy in 10 individual patients. It was found that glycosylation of plasma proteins does change in response to partial body irradiation (~60 Gy), and the effects last during follow-up; the abundance of some glycoforms changed more than twofold. Both the degree of changes and their time-evolution showed large inter-individual variability

Molecular Mechanism for the Thermo-Sensitive Phenotype of CHO-MT58 Cell Line Harbouring a Mutant CTP : Phosphocholine Cytidylyltransferase

Control and elimination of malaria still represents a major public health challenge. Emerging parasite resistance to current therapies urges development of antimalarials with novel mechanism of action. Phospholipid biosynthesis of the Plasmodium parasite has been validated as promising candidate antimalarial target. The most prevalent de novo pathway for synthesis of phosphatidylcholine is the Kennedy pathway. Its regulatory and often also rate limiting step is catalyzed by CTP:phosphocholine cytidylyltransferase (CCT). The CHO-MT58 cell line expresses a mutant variant of CCT, and displays a thermo-sensitive phenotype. At non-permissive temperature (40 degrees C), the endogenous CCT activity decreases dramatically, blocking membrane synthesis and ultimately leading to apoptosis. In the present study we investigated the impact of the analogous mutation in a catalytic domain construct of Plasmodium falciparum CCT in order to explore the underlying molecular mechanism that explains this phenotype. We used temperature dependent enzyme activity measurements and modeling to investigate the functionality of the mutant enzyme. Furthermore, MS measurements were performed to determine the oligomerization state of the protein, and MD simulations to assess the inter-subunit interactions in the dimer. Our results demonstrate that the R681H mutation does not directly influence enzyme catalytic activity. Instead, it provokes increased heat-sensitivity by destabilizing the CCT dimer. This can possibly explain the significance of the PfCCT pseudoheterodimer organization in ensuring proper enzymatic function. This also provide an explanation for the observed thermo-sensitive phenotype of CHO-MT58 cell line

Distinguishing core and antenna fucosylated glycopeptides based on low energy tandem mass spectra

A straightforward approach has been developed to distinguish core and antenna fucosylation in glycopeptides. The method does not require derivatization, and can be easily adapted into a proteomics workflow. The key aspect is to use low collision energy CID (on a QTOF type instrument) when only single step fragmentation processes occur. Low collision energy should show the precursor ion as the largest peak in the spectrum; the survival yield should be ideally over 50%; and this is obtained at a collision energy ca. 30% of that typically used for proteomics. In such a case interfering processes like fucose migration or consecutive reactions are minimized. Core and antenna fucosylation can be discriminated using various ion abundance ratios. Low energy CID spectra are very “clean” (no chemical noise), and the ions used for locating the fucose are among the major peaks; making the method well suited for analytical work. Monitoring the change in the proportion of core and antenna fucosylation at the same glycosylation site is also feasible

Simple correction improving long-term reproducibility of HPLC-MS

Chromatographic peak areas in long series of HPLC-MS experiments often vary, which decreases reproducibility and may cause bias in the results. It was found that the sensitivitiy of various components change differently; in our case variability is in the order of 20-40%; and it is most likely due to changing conditions in ESI ionization. The most often used peak area correction methods do not take this effect into account. The change in peak areas can be well described by a polynomial function; we found that a 4th order polynomial is most often suitable. We suggest a simple correction algorithm based on polynomial fitting. When the experiments were inherently well reproducible, this correction improved reproducibility from 12% to 3% (on average for various components). When random errors were larger, this improvement was less significant (15% to 12% in nano-ESI), but nevertheless essential in order to avoid possible bias in the results