A Robust and Universal Metaproteomics Workflow for Research Studies and Routine Diagnostics Within 24 h Using Phenol Extraction, FASP Digest, and the MetaProteomeAnalyzer

The investigation of microbial proteins by mass spectrometry (metaproteomics) is a key technology for simultaneously assessing the taxonomic composition and the functionality of microbial communities in medical, environmental, and biotechnological applications. We present an improved metaproteomics workflow using an updated sample preparation and a new version of the MetaProteomeAnalyzer software for data analysis. High resolution by multidimensional separation (GeLC, MudPIT) was sacrificed to aim at fast analysis of a broad range of different samples in less than 24 h. The improved workflow generated at least two times as many protein identifications than our previous workflow, and a drastic increase of taxonomic and functional annotations. Improvements of all aspects of the workflow, particularly the speed, are first steps toward potential routine clinical diagnostics (i.e., fecal samples) and analysis of technical and environmental samples. The MetaProteomeAnalyzer is provided to the scientific community as a central remote server solution at www.mpa.ovgu.de.Peer Reviewe

Israeli acute paralysis virus infection leads to an enhanced RNA interference response and not its suppression in the bumblebee Bombus terrestris

RNA interference (RNAi) is the primary antiviral defense system in insects and its importance for pollinator health is indisputable. In this work, we examined the effect of Israeli acute paralysis virus (IAPV) infection on the RNAi process in the bumblebee, Bombus terrestris, and whether the presence of possible functional viral suppressors could alter the potency of the host's immune response. For this, a two-fold approach was used. Through a functional RNAi assay, we observed an enhancement of the RNAi system after IAPV infection instead of its suppression, despite only minimal upregulation of the genes involved in RNAi. Besides, the presence of the proposed suppressor 1A and the predicted OrfX protein in IAPV could not be confirmed using high definition mass spectrometry. In parallel, when bumblebees were infected with cricket paralysis virus (CrPV), known to encode a suppressor of RNAi, no increase in RNAi efficiency was seen. For both viruses, pre-infection with the one virus lead to a decreased replication of the other virus, indicating a major effect of competition. These results are compelling in the context of Dicistroviridae in multi-virus/multi-host networks as the effect of a viral infection on the RNAi machinery may influence subsequent virus infections

Protective Allele for Multiple Sclerosis HLA-DRB1*01:01 Provides Kinetic Discrimination of Myelin and Exogenous Antigenic Peptides.

Risk of the development of multiple sclerosis (MS) is known to be increased in individuals bearing distinct class II human leukocyte antigen (HLA) variants, whereas some of them may have a protective effect. Here we analyzed distribution of a highly polymorphous HLA-DRB1 locus in more than one thousand relapsing-remitting MS patients and healthy individuals of Russian ethnicity. Carriage of HLA-DRB1*15 and HLA-DRB1*03 alleles was associated with MS risk, whereas carriage of HLA-DRB1*01 and HLA-DRB1*11 was found to be protective. Analysis of genotypes revealed the compensatory effect of risk and resistance alleles in trans. We have identified previously unknown MBP153−161 peptide located at the C-terminus of MBP protein and MBP90−98 peptide that bound to recombinant HLA-DRB1*01:01 protein with affinity comparable to that of classical antigenic peptide 306-318 from the hemagglutinin (HA) of the influenza virus demonstrating the ability of HLA-DRB1*01:01 to present newly identified MBP153−161 and MBP90−98 peptides. Measurements of kinetic parameters of MBP and HA peptides binding to HLA-DRB1*01:01 catalyzed by HLA-DM revealed a significantly lower rate of CLIP exchange for MBP153−161 and MBP90−98 peptides as opposed to HA peptide. Analysis of the binding of chimeric MBP-HA peptides demonstrated that the observed difference between MBP153−161, MBP90−98, and HA peptide epitopes is caused by the lack of anchor residues in the C-terminal part of the MBP peptides resulting in a moderate occupation of P6/7 and P9 pockets of HLA-DRB1*01:01 by MBP153−161 and MBP90−98 peptides in contrast to HA308−316 peptide. This leads to the P1 and P4 docking failure and rapid peptide dissociation and release of empty HLA-DM–HLA-DR complex. We would like to propose that protective properties of the HLA-DRB1*01 allele could be directly linked to the ability of HLA-DRB1*01:01 to kinetically discriminate between antigenic exogenous peptides and endogenous MBP derived peptides

Oxidized phospholipids are proinflammatory and proatherogenic in hypercholesterolaemic mice.

Oxidized phospholipids (OxPL) are ubiquitous, are formed in many inflammatory tissues, including atherosclerotic lesions, and frequently mediate proinflammatory changes 1 . Because OxPL are mostly the products of non-enzymatic lipid peroxidation, mechanisms to specifically neutralize them are unavailable and their roles in vivo are largely unknown. We previously cloned the IgM natural antibody E06, which binds to the phosphocholine headgroup of OxPL, and blocks the uptake of oxidized low-density lipoprotein (OxLDL) by macrophages and inhibits the proinflammatory properties of OxPL2-4. Here, to determine the role of OxPL in vivo in the context of atherogenesis, we generated transgenic mice in the Ldlr-/- background that expressed a single-chain variable fragment of E06 (E06-scFv) using the Apoe promoter. E06-scFv was secreted into the plasma from the liver and macrophages, and achieved sufficient plasma levels to inhibit in vivo macrophage uptake of OxLDL and to prevent OxPL-induced inflammatory signalling. Compared to Ldlr-/- mice, Ldlr -/- E06-scFv mice had 57-28% less atherosclerosis after 4, 7 and even 12 months of 1% high-cholesterol diet. Echocardiographic and histologic evaluation of the aortic valves demonstrated that E06-scFv ameliorated the development of aortic valve gradients and decreased aortic valve calcification. Both cholesterol accumulation and in vivo uptake of OxLDL were decreased in peritoneal macrophages, and both peritoneal and aortic macrophages had a decreased inflammatory phenotype. Serum amyloid A was decreased by 32%, indicating decreased systemic inflammation, and hepatic steatosis and inflammation were also decreased. Finally, the E06-scFv prolonged life as measured over 15 months. Because the E06-scFv lacks the functional effects of an intact antibody other than the ability to bind OxPL and inhibit OxLDL uptake in macrophages, these data support a major proatherogenic role of OxLDL and demonstrate that OxPL are proinflammatory and proatherogenic, which E06 counteracts in vivo. These studies suggest that therapies inactivating OxPL may be beneficial for reducing generalized inflammation, including the progression of atherosclerosis, aortic stenosis and hepatic steatosis

Cell-type specific analysis of translating RNAs in developing flowers reveals new levels of control

Determining both the expression levels of mRNA and the regulation of its translation is important in understanding specialized cell functions. In this study, we describe both the expression profiles of cells within spatiotemporal domains of the Arabidopsis thaliana flower and the post-transcriptional regulation of these mRNAs, at nucleotide resolution. We express a tagged ribosomal protein under the promoters of three master regulators of flower development. By precipitating tagged polysomes, we isolated cell type specific mRNAs that are probably translating, and quantified those mRNAs through deep sequencing. Cell type comparisons identified known cell-specific transcripts and uncovered many new ones, from which we inferred cell type-specific hormone responses, promoter motifs and coexpressed cognate binding factor candidates, and splicing isoforms. By comparing translating mRNAs with steady-state overall transcripts, we found evidence for widespread post-transcriptional regulation at both the intron splicing and translational stages. Sequence analyses identified structural features associated with each step. Finally, we identified a new class of noncoding RNAs associated with polysomes. Findings from our profiling lead to new hypotheses in the understanding of flower development

Authentication of processed meat products by peptidomic analysis using rapid ambient mass spectrometry

We present the application of a novel ambient LESA-MS method for the authentication of processed meat products. A set of 25 species and protein-specific heat stable peptide markers has been detected in processed samples manufactured from beef, pork, horse, chicken and turkey meat. We demonstrate that several peptides derived from myofibrillar and sarcoplasmic proteins are sufficiently resistant to processing to serve as specific markers of processed products. The LESA-MS technique required minimal sample preparation without fractionation and enabled the unambiguous and simultaneous identification of skeletal muscle proteins and peptides as well as other components of animal origin, including the milk protein such as casein alpha-S1, in whole meat product digests. We have identified, for the first time, six fast type II and five slow/cardiac type I MHC peptide markers in various processed meat products. The study demonstrates that complex mixtures of processed proteins/peptides can be examined effectively using this approach

Deciphering the Landscape of HLA class-I and class-II Phosphopeptidomes leads to Robust Predictions of Phosphorylated HLA ligands

Activation of CD8+ and CD4+ T cells through recognition of antigens presented by class I and class II human leukocyte antigen (HLA-I/HLA-II) molecules is crucial for immune responses against infected or malignant cells. In cancer, neoantigens can arise from cancer-specific genomic or proteomic alterations, including mutations and aberrant post-translational modification, such as phosphorylation. Identifying HLA ligands remains a challenging task that requires either heavy experimental work for in vivo identification or optimized bioinformatics tools for accurate predictions. While much work has been done on unmodified HLA-I and HLA-II ligands, only little is known about the presentation of phosphorylated peptides, in particular by HLA-II molecules. Moreover, none of the existing in silico models for predictions of HLA – ligand interactions are specifically trained on phosphorylated ligands. This thesis presents in-depth analyses of phosphorylated HLA-I and HLA-II ligands and introduces predictors for HLA – phosphorylated ligand interactions. The first part of this thesis comprises the curation of phosphorylated HLA-I ligands from several Mass Spectrometry – based peptidomics studies, identifying more than 2,000 unique phosphorylated peptides covering 72 HLA-I alleles. Furthermore, it was see that phosphorylated HLA-I ligands are shaped by a combination of HLA-I binding motifs, intrinsic HLA-I binding properties of phosphorylated ligands and kinase motifs. Combining phosphorylated HLA-I ligands with unmodified data for training a prediction model resulted in improved predictions of phosphorylated HLA-I ligands. The second part addresses phosphorylated HLA-II ligands presented by professional antigen presenting cells for CD4+ T cell activation. MS – based HLA-II peptidomics data resulted in the identification of binding motifs for more than 30 HLA-II alleles, comprising 2,473 unique phosphorylated ligands. These were used to retrain a predictor for HLA-II - ligand interactions and showed improved accuracy for phosphorylated ligands. The analysis of the phosphorylated HLA-II peptidomes revealed a more diverse repertoire of kinases responsible for the phosphorylation of peptides presented on HLA-II compared to HLA-I. In summary, the current work presents in-depth studies on phosphorylated HLA ligands as well as bioinformatics tools for the predictions of phosphorylated peptide interactions with HLA-I and HLA-II molecules. -- L'activation des cellules T CD8+ et CD4+ suite à la reconnaissance d’antigènes présentés par les antigènes des leucocytes humains de classe I et II (HLA-I/HLA-II) est cruciale pour les réponses immunitaires contre les cellules infectées ou cancéreuses. Dans le cancer, les néoantigènes peuvent provenir d'altérations génomiques ou protéomiques spécifiques au cancer, par exemple des mutations ou des modifications post-traductionnelles aberrantes, telles que la phosphorylation. L'identification des ligands HLA reste une tâche difficile qui nécessite soit un travail expérimental lourd pour l'identification in vivo, soit des outils bio-informatiques optimisés pour des prédictions précises. Si beaucoup de travail a été réalisé sur les ligands HLA-I et HLA-II non modifiés, on ne sait que peu de choses sur la présentation des peptides phosphorylés, en particulier par les molécules HLA-II. De plus, aucun des modèles in silico existants pour la prédiction des interactions HLA - ligands n'est spécifiquement entraîné sur les ligands phosphorylés. Cette thèse présente des analyses détaillées sur les ligands HLA-I et HLA-II phosphorylés et introduit des prédicteurs pour les interactions HLA - ligands phosphorylés. La première partie de cette thèse comprend la curation des ligands HLA-I phosphorylés provenant de plusieurs études peptidiques de spectrométrie de masse, identifiant plus de 2’000 peptides phosphorylés uniques couvrant 72 allèles HLA-I. De plus, il a été constaté que les ligands HLA-I phosphorylés sont obtenus par une combinaison de motifs de liaison aux HLA-I, de propriétés intrinsèques de liaison entre les HLA-I et les ligands phosphorylés et de motifs de kinases. La combinaison de ces ligands HLA-I phosphorylés avec des données de ligands non modifiés pour l’entraînement du prédicteur a permis d'améliorer les prédictions des ligands HLA-I phosphorylés. La deuxième partie de cette thèse porte sur les ligands HLA-II phosphorylés qui sont présentés par des cellules présentatrices d'antigènes professionnelles pour l'activation des lymphocytes T CD4+. Les données peptidiques de HLA-II basées sur la spectrométrie de masse ont permis d'identifier des motifs de liaison pour plus de 30 allèles HLA-II, comprenant 2’473 ligands phosphorylés uniques. Ces motifs ont été utilisés pour re-entraîner un prédicteur des interactions entre les ligands et HLA-II qui a montré une meilleure précision pour les ligands phosphorylés. En outre, l'analyse du peptidome HLA-II phosphorylé a révélé un répertoire plus diversifié de kinases responsables de la phosphorylation des peptides présentés par les HLA-II par rapport aux HLA-I. En résumé, cette thèse présente des études détaillées sur les ligands HLA phosphorylés ainsi que des outils bio-informatiques pour la prédiction des interactions des peptides phosphorylés avec les molécules HLA-I et HLA-II