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Fast identification of microbial species in clinical samples is essential to provide an appropriate antibiotherapy to the patient and reduce the prescription of broad-spectrum antimicrobials leading to antibioresistances. MALDI-TOF-MS technology has become a tool of choice for microbial identification but has several drawbacks: it requires a long step of bacterial culture before analysis (≥24 h), has a low specificity and is not quantitative. We developed a new strategy for identifying bacterial species in urine using specific LC-MS/MS peptidic signatures. In the first training step, libraries of peptides are obtained on pure bacterial colonies in DDA mode, their detection in urine is then verified in DIA mode, followed by the use of machine learning classifiers (NaiveBayes, BayesNet and Hoeffding tree) to define a peptidic signature to distinguish each bacterial species from the others. Then, in the second step, this signature is monitored in unknown urine samples using targeted proteomics. This method, allowing bacterial identification in less than 4 h, has been applied to fifteen species representing 84% of all Urinary Tract Infections. More than 31,000 peptides in 190 samples were quantified by DIA and classified by machine learning to determine an 82 peptides signature and build a prediction model. This signature was validated for its use in routine using Parallel Reaction Monitoring on two different instruments. Linearity and reproducibility of the method were demonstrated as well as its accuracy on donor specimens. Within 4h and without bacterial culture, our method was able to predict the predominant bacteria infecting a sample in 97% of cases and 100% above the standard threshold. This work demonstrates the efficiency of our method for the rapid and specific identification of the bacterial species causing UTI and could be extended in the future to other biological specimens and to bacteria having specific virulence or resistance factors., (© 2019 Roux-Dalvai et al.)

Rationale: Atmospheric pressure drift tube ion mobility is a powerful addition to the Orbitrap mass spectrometer enabling direct separation of isomers. Apart from offering high resolving power in a compact design, it also facilitates optimization of the separation gas, as shown here for a series of biologically relevant isomer pairs., Methods: An Excellims MA3100 High-Resolution Atmospheric Pressure Ion Mobility Spectrometer (HR-IMS) was coupled to a Thermo Scientific™ Q Exactive™ Focus hybrid quadrupole-Orbitrap™ mass spectrometer, using an Excellims Directspray™ Electrospray Ionization source and a gas mixture setup to provide various drift gases (air, CO 2 and mixtures). This instrument combination was used to separate isomers of eight pairs of metabolites and gangliosides, optimizing drift gas conditions for best separation of each set., Results: All but one of the isomers pairs provided could be partially or fully separated by the HR-IMS-MS combination using ion mobility drift times. About half of the separated compounds showed significantly better analytical separation when analyzed in a mixture of CO 2 and air rather than air or CO 2 alone. Resolving power of up to 102 was achieved using the 10 cm atmospheric drift tube ion mobility add-on for the Orbitrap mass spectrometer., Conclusions: The present analysis demonstrates the usefulness of using atmospheric drift tube IMS on an Orbitrap mass spectrometer to characterize the isomeric composition of samples. It also highlights the potential benefits of being able to quickly optimize the drift gas composition to selectively maximize the mobility difference for isomer separation., (© 2019 John Wiley & Sons, Ltd.)

Muscle fibers do not normally express major histocompatibility complex class I (MHC-I) molecules, and their reexpression is a hallmark of inflammatory myopathies. It has been shown in mice that overexpression of MHC-I induces a poorly inflammatory myositis accompanied by the unfolded protein response (UPR), but it is unclear whether it is attributable to T-cell-mediated MHC-I-dependent immune responses or to MHC-I forced expression per se. Indeed, besides presenting antigenic peptides to CD8(+) T cells, MHC-I may also possibly exert nonimmunologic, yet poorly understood pathogenic effects. Thus, we investigated the pathogenicity of MHC-I expression in muscle independently of its immune functions. HT transgenic mice that conditionally overexpress H-2K(b) in muscle were bred to an immunodeficient Rag2(-/-) background. The muscle proteome was analyzed by label-free high-resolution protein quantitation and Western blot. Despite the absence of adaptive immunity, HT Rag2(-/-) mice developed a very severe myopathy associated with the cytoplasmic accumulation of H-2K(b) molecules. The UPR was manifest by up-regulation of characteristic proteins. In humans, we found that HLA class I molecules not only were expressed at the sarcolemma but also could accumulate intracellularly in some patients with inclusion body myositis. Accordingly, the UPR was triggered as a function of the degree of HLA accumulation in myofibers. Hence, reexpression of MHC-I in normally negative myofibers exerts pathogenic effects independently of its immune function., (Copyright © 2013 American Society for Investigative Pathology. Published by Elsevier Inc. All rights reserved.)

Purpose: Epithelial ovarian carcinogenesis may occur de novo on the surface of ovarian mesothelial epithelial cells or from cells originating in other organs. Foreign Müllerian cell intrusion into the ovarian environment has been hypothesized to explain the latter scenario. In this study, MALDI MS profiling technology was used to provide molecular insights regarding these potentially different mechanisms., Experimental Design: Using MALDI MS profiling, the molecular disease signatures were established in their anatomical context. MALDI MS profiling was used on serous and endometrioid cancer biopsies to investigate cases of epithelial ovarian cancer. We then applied bioinformatic methods and identification strategies on the LC-MS/MS analyses of extracts from digested formalin-fixed, paraffin-embedded tissues. Extracts from selected regions (i.e. serous ovarian adenocarcinoma, fallopian tube serous adenocarcinoma, endometrioid ovarian cancer, benign endometrium, and benign ovarian tissues) were performed, and peptide digests were subjected to LC-MS/MS analysis., Results: Comparison of the proteins identified from benign endometrium or three ovarian cancer types (i.e. serous ovarian adenocarcinoma, endometrioid ovarian adenocarcinoma, and serous fallopian tube adenocarcinoma) provided new evidence of a possible correlation between the fallopian tubes and serous ovarian adenocarcinoma. Here, we propose a workflow consisting of the comparison of multiple tissues in their anatomical context in an individual patient., Conclusion and Clinical Relevance: The present study provides new insights into the molecular similarities between these two tissues and an assessment of highly specific markers for an individualized patient diagnosis and care., (© 2013 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.)

MALDI Mass Spectrometry Imaging has shown important potential for molecular classification and pathology marker discovery. Protein markers identification is therefore of prime importance. Direct structural analysis from tissue sections has shown limitations for protein identification because of the high degree of complexity of tissues. Only proteins of major abundance are identified this way. On the contrary, conventional proteomics approaches clearly allow for reliable identification of complex protein extracts but do not provide fine correlation with protein location in their original context. Here is presented an approach to obtain identification of proteins of various abundances while keeping their localization within the section. On-tissue trypsin digestion followed by micro-extraction using a liquid micro-junction interface is an efficient strategy to extract tryptic peptides and further identify the associated proteins off tissues. It was shown that conventional Reverse Phase Liquid Chromatography separation on the extracted material followed by MS/MS analysis on a HR FTMS instrument enabled the identification of 1500 proteins on average with high confidence from an area of about 650μm in diameter, which corresponds to an estimated number of 1900 cells in average. The approach can be easily integrated in the MALDI MSI workflow and should provide interesting insights for clinical applications., (Copyright © 2012 Elsevier B.V. All rights reserved.)

Products for specific diagnosis and immunotherapy of IgE-mediated allergies are currently based on natural extracts. Quantification of major allergen content is an important aspect of standardization as important allergens particularly impact vaccine potency. The aim of the study was to develop a mass spectrometry (MS) based assay for absolute quantification of Timothy (Phleum pratense) pollen allergens Phl p 1 and Phl p 5 in P. pratense extract. High-resolution and accurate mass (HRAM) MS was selected for its ability to detect peptides with high selectivity and mass accuracy (<3 ppm). Isotope labeled heavy peptides were used for absolute quantification of specific isoallergens of Phl p 1 and Phl p 5 at low femtomole level in P. pratense extract. Robustness and linearity of the method was demonstrated with intra day precision ≤ 5% (n = 3). Phl p 1b was shown to be 5 times less abundant than its variant Phl p 1a and Phl p 5b was shown to be 9 times more abundant than the Phl p 5a. The present study shows that allergen, and/or isoallergen specific, surrogate signature peptides analyzed with HRAM MS is a sensitive and accurate tool for identification and quantification of allergens from complex allergen sources.

Multidimensional protein chromatography offers an alternative to gel-based separations for large-scale proteomic analyses of highly complex mixtures. However, these liquid separations divide the original mixtures into multitudes of discrete samples, each of which may require numerous steps of sample manipulation, such as fraction collection, buffer exchange, protease digestion, peptide desalting, and, in the case of MALDI-MS, matrix and analyte cocrystallization on target. When traditional high-flow liquid chromatography is used, large volumes of solvent must also be removed from fractions to maximize MS sensitivity. Although robotic liquid-handling devices can facilitate these steps and reduce analyst/sample contact, they remain prototypic and expensive. Here, we explore the use of a novel, one-piece elastomeric device, the BD MALDI sample concentrator, which affixes to a MALDI target to create a prestructured 96-well sample array on the target surface. We have developed methodologies to process high-flow HPLC fractions by collecting them directly into the elastomeric device and then subjecting them to sequential on-target sample concentration, buffer exchange, digestion, desalting, and matrix/analyte cocrystallization for MALDI-MS analyses. We demonstrate that this methodology enables the rapid digestion and analysis of low amounts of proteins and that it is effective in the characterization of an HPLC-fractionated protein mixture by MALDI-TOF MS followed by peptide mass fingerprinting.

Because of their complexity, the separation of intact proteins from complex mixtures is an important step to comparative proteomics and the identification and characterization of the proteins by mass spectrometry (MS). In the study reported, we evaluated the use of nonporous-reversed-phase (np-RP)-HPLC for intact protein separation prior to MS analyses. The separation system was characterized and compared to 1D-SDS-PAGE electrophoresis in terms of resolution and sensitivity. We demonstrate that np-RP-HPLC protein separation is highly reproducible and provides intact protein fractions which can be directly analyzed by MALDI-TOF-MS for intact molecular weight determination. An in-well digestion protocol was developed, allowing for rapid protein identification by peptide mass fingerprinting (PMF) and resulted in comparable or improved peptide recovery compared with in-gel digestion. The np-RP sensitivity of detection by UV absorbance at 214 nm for intact proteins was at the low ng level and the sensitivity of peptide analysis by MALDI-TOF-MS was in the 10-50 fmol level. A membrane protein fraction was characterized to demonstrate application of this methodology. Among the identified proteins, multiple forms of vimentin were observed. Overall, we demonstrate that np-RP-HPLC followed by MALDI-TOF-MS allows for rapid, sensitive, and reproducible protein fractionation and very specific protein characterization by integration of PMF analysis with MS intact molecular weight information.

Melatonin is synthesized by a series of enzymes, the penultimate one, serotonin N-acetyltransferase, catalyzing the limiting reaction. In the present study, we compared the recombinant serotonin N-acetyltransferases from rat, ovine, and human. The human protein is particularly difficult to purify because it interacts strongly with a putative chaperone protein from bacteria whereas the rat and sheep enzymes, which interact less strongly with this protein, have been purified close to homogeneity. We identified the contaminating protein as GroEL, the bacterial equivalent of Hsp60. We present numerous catalytic activities (substrate and cosubstrate specificities as well as inhibitor specificities) measured on the three species enzymes from which we deduced that the presence of the chaperone might partly explain the differences between the various species enzyme characteristics, beside the inter-species ones resulting from sequence differences. Despite several trials reported in the literature, a purification to homogeneity of the human (recombinant) enzyme has never been described. We present a new purification method, by using an original denaturation/renaturation process in which the enzyme is immobilized on an affinity chromatography column. The enzyme is then eluted in an active and pure form (i.e., absence of chaperone). The up-scaled system permitted us to perform the necessary experiments for the measurement of more accurate affinities of human serotonin N-acetyltransferase towards its main natural substrates, showing that only the activity of the enzyme towards phenylethylamine was modified.