Erdmann Rapp

Optimized Workflow for Preparation of APTS-Labeled N-Glycans Allowing High-Throughput Analysis of Human Plasma Glycomes using 48-Channel Multiplexed CGE-LIF

High-throughput methods for oligosaccharide analysis are required when searching for glycan-based biomarkers. Next to mass spectrometry-based methods, which allow fast and reproducible analysis of such compounds, further separation-based techniques are needed, which allow for quantitative analysis. Here, an optimized sample preparation method for N-glycan-profiling by multiplexed capillary gel electrophoresis with laser-induced fluorescence detection (CGE-LIF) was developed, enabling high-throughput glycosylation analysis. First, glycans are released enzymatically from denatured plasma glycoproteins. Second, glycans are labeled with APTS using 2-picoline borane as a nontoxic and efficient reducing agent. Reaction conditions are optimized for a high labeling efficiency, short handling times, and only limited loss of sialic acids. Third, samples are subjected to hydrophilic interaction chromatography (HILIC) purification at the 96-well plate format. Subsequently, purified APTS-labeled N-glycans are analyzed by CGE-LIF using a 48-capillary DNA sequencer. The method was found to be robust and suitable for high-throughput glycan analysis. Even though the method comprises two overnight incubations, 96 samples can be analyzed with an overall labor allocation time of 2.5 h. The method was applied to serum samples from a pregnant woman, which were sampled during first, second, and third trimesters of pregnancy, as well as 6 weeks, 3 months, and 6 months postpartum. Alterations in the glycosylation patterns were observed with gestation and time after delivery.

Comparative Performance of Four Methods for High-throughput Glycosylation Analysis of Immunoglobulin G in Genetic and Epidemiological Research

The biological and clinical relevance of glycosylation is becoming increasingly recognized, leading to a growing interest in large-scale clinical and population-based studies. In the past few years, several methods for high-throughput analysis of glycans have been developed, but thorough validation and standardization of these methods is required before significant resources are invested in large-scale studies. In this study, we compared liquid chromatography, capillary gel electrophoresis, and two MS methods for quantitative profiling of N-glycosylation of IgG in the same data set of 1201 individuals. To evaluate the accuracy of the four methods we then performed analysis of association with genetic polymorphisms and age. Chromatographic methods with either fluorescent or MS-detection yielded slightly stronger associations than MS-only and multiplexed capillary gel electrophoresis, but at the expense of lower levels of throughput. Advantages and disadvantages of each method were identified, which should inform the selection of the most appropriate method in future studies.

Quantitative analysis of cellular proteome alterations in human influenza A virus-infected mammalian cell lines.

Over the last years virus–host cell interactions were investigated in numerous studies. Viral strategies for evasion of innate immune response, inhibition of cellular protein synthesis and permission of viral RNA and protein production were disclosed. With quantitative proteome technology, comprehensive studies concerning the impact of viruses on the cellular machinery of their host cells at protein level are possible. Therefore, 2‐D DIGE and nanoHPLC‐nanoESI‐MS/MS analysis were used to qualitatively and quantitatively determine the dynamic cellular proteome responses of two mammalian cell lines to human influenza A virus infection. A cell line used for vaccine production (MDCK) was compared with a human lung carcinoma cell line (A549) as a reference model. Analyzing 2‐D gels of the proteomes of uninfected and influenza‐infected host cells, 16 quantitatively altered protein spots (at least ±1.7‐fold change in relative abundance, p<0.001) were identified for both cell lines. Most significant changes were found for keratins, major components of the cytoskeleton system, and for Mx proteins, interferon‐induced key components of the host cell defense. Time series analysis of infection processes allowed the identification of further proteins that are described to be involved in protein synthesis, signal transduction and apoptosis events. Most likely, these proteins are required for supporting functions during influenza viral life cycle or host cell stress response. Quantitative proteome‐wide profiling of virus infection can provide insights into complexity and dynamics of virus–host cell interactions and may accelerate antiviral research and support optimization of vaccine manufacturing processes.

Quantitative mapping of glycoprotein micro‐heterogeneity and macro‐heterogeneity: an evaluation of mass spectrometry signal strengths using synthetic peptides and glycopeptides

Mass spectrometry (MS) is used to quantify the relative distribution of glycans attached to particular protein glycosylation sites (micro-heterogeneity) and evaluate the molar site occupancy (macro-heterogeneity) in glycoproteomics. However, the accuracy of MS for such quantitative measurements remains to be clarified. As a key step towards this goal, a panel of related tryptic peptides with and without complex, biantennary, disialylated N-glycans was chemically synthesised by solid-phase peptide synthesis. Peptides mimicking those resulting from enzymatic deglycosylation using PNGase F/A and endo D/F/H were synthetically produced, carrying aspartic acid and N-acetylglucosamine-linked asparagine residues, respectively, at the glycosylation site. The MS ionisation/detection strengths of these pure, well-defined and quantified compounds were investigated using various MS ionisation techniques and mass analysers (ESI-IT, ESI-Q-TOF, MALDI-TOF, ESI/MALDI-FT-ICR-MS). Depending on the ion source/mass analyser, glycopeptides carrying complex-type N-glycans exhibited clearly lower signal strengths (10-50% of an unglycosylated peptide) when equimolar amounts were analysed. Less ionisation/detection bias was observed when the glycopeptides were analysed by nano-ESI and medium-pressure MALDI. The position of the glycosylation site within the tryptic peptides also influenced the signal response, in particular if detected as singly or doubly charged signals. This is the first study to systematically and quantitatively address and determine MS glycopeptide ionisation/detection strengths to evaluate glycoprotein micro-heterogeneity and macro-heterogeneity by label-free approaches. These data form a much needed knowledge base for accurate quantitative glycoproteomics.

N-Glycan Analysis by CGE-LIF – Profiling Influenza A Virus Hemagglutinin N-Glycosylation during Vaccine Production

Glycoproteins, such as monoclonal antibodies as well as recombinant and viral proteins produced in mammalian cell culture play an important role in manufacturing of many biopharmaceuticals. To ensure consisting quality of the corresponding products, glycosylation profiles have to be tightly controlled, as glycosylation affects important properties of the corresponding proteins, including bioactivity and antigenicity. This study describes the establishment of a method for analyzing N‐glycosylation patterns of mammalian cell culture‐derived influenza A virus glycoproteins used in vaccine manufacturing. It comprises virus purification directly from cell culture supernatant, protein isolation, deglycosylation, and clean‐up steps as well as “fingerprint” analysis of N‐glycan pools by CGE‐LIF, using a capillary DNA‐sequencer. Reproducibility studies of CGE‐LIF, virus purification, and sample preparation have been performed. For demonstrating its applicability, the method was exemplarily used for monitoring batch‐to‐batch reproducibility in vaccine production, with respect to the glycosylation pattern of the membrane protein hemagglutinin of influenza A/PR/8/34 (H1N1) virus. This method allows characterization of variations in protein glycosylation patterns, directly by N‐glycan “fingerprint” alignment.

Glycan analysis in cell culture-based influenza vaccine production: Influence of host cell line and virus strain on the glycosylation pattern of viral hemagglutinin

Mammalian cell culture processes are commonly used for production of recombinant glycoproteins, antibodies and viral vaccines. Since several years there is an increasing interest in cell culture-based influenza vaccine production to overcome limitations of egg-based production systems, to improve vaccine supply and to increase flexibility in vaccine manufacturing. With the switch of the production system several key questions concerning the possible impact of host cell lines on antigen quality, passage-dependent selection of certain viral phenotypes or changes in hemagglutinin (HA) conformation have to be addressed to guarantee safety and efficiency of vaccines. In contrast to the production of recombinant glycoproteins, comparatively little is known regarding glycosylation of HA, derived from mammalian cell cultures. Within this study, a capillary DNA-sequencer (based on CGE-LIF technology), was utilized for N-glycan analysis of three different influenza virus strains, which were replicated in six different cell lines. Detailed results concerning the influence of the host cell line on complexity and composition of the HA N-glycosylation pattern, are presented. Strong host cell but also virus type and subtype dependence of HA N-glycosylation was found. Clear differences were already observed, by N-glycan fingerprint comparison. Further structural investigations of the N-glycan pools revealed that host cell dependence of HA N-glycosylation was mainly related to minor variations of the (monomeric) constitution of single N-glycans. To some extent, shifts in the N-glycan pool composition regarding the proportion of different N-glycan types were observed. In contrast to this, a principal switch of the N-glycan type attached to HA was observed when comparing different virus types (A and B) and subtypes (H1N1 and H3N2).

The minimum information required for a glycomics experiment (MIRAGE) project: improving the standards for reporting mass-spectrometry-based glycoanalytic data.

The MIRAGE guidelines are being developed in response to a critical need in the glycobiology community to clarify glycoanalytic results so that they are more readily evaluated (in terms of their scope and depth) and to facilitate the reproduction of important results in the laboratory. The molecular and biological complexity of the glycosylation process makes thorough reporting of the results of a glycomics experiment a highly challenging endeavor. The resulting data specify the identity and quantity of complex structures, the precise molecular features of which are sometimes inferred using prior knowledge, such as familiarity with a particular biosynthetic mechanism. Specifying the exact methods and assumptions that were used to assign and quantify reported structures allows the interested scientist to appreciate the scope and depth of the analysis. Mass spectrometry (MS) is the most widely used tool for glycomics experiments. The interpretation and reproducibility of MS-based glycomics data depend on comprehensive meta-data describing the instrumentation, instrument setup, and data acquisition protocols. The MIRAGE guidelines for MS-based glycomics have been designed to facilitate the collection and sharing of this critical information in order to assist the glycoanalyst in generating data sets with maximum information content and biological relevance.

Response of Pseudomonas putida KT2440 to phenol at the level of membrane proteome

This study led to the extension and refinement of our current model for the global response of Pseudomonas putida KT2440 to phenol by getting insights into the adaptive response mechanisms involving the membrane proteome. A two-dimensional gel electrophoresis based protocol was optimized to allow the quantitative comparison of membrane proteins, by combining inner and outer membrane fractionation with membrane protein solubilization using the detergent dodecylmaltoside. Following phenol exposure, a coordinate increased content of protein subunits of known or putative solvent efflux pump systems (e.g. TtgA, TtgC, Ttg2A, Ttg2C, and PP_1516-7) and a decreased content of porins OprB, OprF, OprG and OprQ was registered, consistent with an adaptive response to reduce phenol intracellular concentration. This adaptive response may in part be mediated by post-translational modifications, as suggested by the relative content of the multiple forms identified for a few porins and efflux pump subunits. Results also suggest the important role of protein chaperones, of cell envelope and cell surface and of a more active respiratory chain in the response to phenol. All these mechanistic insights may be extended to Pseudomonas adaptation to solvents, of possible impact in biodegradation, bioremediation and biocatalysis.

MIRAGE: The minimum information required for a glycomics experiment

The MIRAGE (minimum information required for a glycomics experiment) initiative was founded in Seattle, WA, in November 2011 in order to develop guidelines for reporting the qualitative and quantitative results obtained by diverse types of glycomics analyses, including the conditions and techniques that were applied to prepare the glycans for analysis and generate the primary data along with the tools and parameters that were used to process and annotate this data. These guidelines must address a broad range of issues, as glycomics data are inherently complex and are generated using diverse methods, including mass spectrometry (MS), chromatography, glycan array-binding assays, nuclear magnetic resonance (NMR) and other rapidly developing technologies. The acceptance of these guidelines by scientists conducting research on biological systems in which glycans have a significant role will facilitate the evaluation and reproduction of glycomics experiments and data that is reported in scientific journals and uploaded to glycomics databases. As a first step, MIRAGE guidelines for glycan analysis by MS have been recently published (Kolarich D, Rapp E, Struwe WB, Haslam SM, Zaia J., et al. 2013. The minimum information required for a glycomics experiment (MIRAGE) project – Improving the standards for reporting mass spectrometry-based glycoanalytic data. Mol. Cell Proteomics. 12:991–995), allowing them to be implemented and evaluated in the context of real-world glycobiology research. In this paper, we set out the historical context, organization structure and overarching objectives of the MIRAGE initiative.

DeNovoGUI: an open source graphical user interface for de novo sequencing of tandem mass spectra

De novo sequencing is a popular technique in proteomics for identifying peptides from tandem mass spectra without having to rely on a protein sequence database. Despite the strong potential of de novo sequencing algorithms, their adoption threshold remains quite high. We here present a user-friendly and lightweight graphical user interface called DeNovoGUI for running parallelized versions of the freely available de novo sequencing software PepNovo+, greatly simplifying the use of de novo sequencing in proteomics. Our platform-independent software is freely available under the permissible Apache2 open source license. Source code, binaries, and additional documentation are available at http://denovogui.googlecode.com.