Hepatic Topology of Glycosphingolipids in Schistosoma mansoni-Infected HamstersClick to copy article linkArticle link copied!
- David LuhDavid LuhInstitute of Inorganic and Analytical Chemistry, Justus Liebig University Giessen, 35392 Giessen, GermanyMore by David Luh
- Sven HeilesSven HeilesInstitute of Inorganic and Analytical Chemistry, Justus Liebig University Giessen, 35392 Giessen, GermanyLeibniz-Institut für Analytische Wissenschaften─ISAS─e.V., 44139 Dortmund, GermanyLipidomics, Faculty of Chemistry, University of Duisburg-Essen, 45141 Essen, GermanyMore by Sven Heiles
- Martin RoderfeldMartin RoderfeldGastroenterology, Justus Liebig University Giessen, 35392Giessen, GermanyMore by Martin Roderfeld
- Christoph G. GreveldingChristoph G. GreveldingInstitute for Parasitology, Justus Liebig University Giessen, 35392 Giessen, GermanyMore by Christoph G. Grevelding
- Elke Roeb
- Bernhard Spengler*Bernhard Spengler*Email: [email protected]Institute of Inorganic and Analytical Chemistry, Justus Liebig University Giessen, 35392 Giessen, GermanyMore by Bernhard Spengler
Abstract
Schistosomiasis is a neglected tropical disease caused by worm parasites of the genus Schistosoma. Upon infection, parasite eggs can lodge inside of host organs like the liver. This leads to granuloma formation, which is the main cause of the pathology of schistosomiasis. To better understand the different levels of host–pathogen interaction and pathology, our study focused on the characterization of glycosphingolipids (GSLs). For this purpose, GSLs in livers of infected and noninfected hamsters were studied by combining high-spatial-resolution atmospheric-pressure scanning microprobe matrix-assisted laser desorption/ionization mass spectrometry imaging (AP-SMALDI MSI) with nanoscale hydrophilic interaction liquid chromatography tandem mass spectrometry (nano-HILIC MS/MS). Nano-HILIC MS/MS revealed 60 GSL species with a distinct saccharide and ceramide composition. AP-SMALDI MSI measurements were conducted in positive- and negative-ion mode for the visualization of neutral and acidic GSLs. Based on nano-HILIC MS/MS results, we discovered no downregulated but 50 significantly upregulated GSLs in liver samples of infected hamsters. AP-SMALDI MSI showed that 44 of these GSL species were associated with the granulomas in the liver tissue. Our findings suggest an important role of GSLs during granuloma formation.
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You are free to share(copy and redistribute) this article in any medium or format and to adapt(remix, transform, and build upon) the material for any purpose, even commercially within the parameters below:
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Attribution (BY): Credit must be given to the creator.
*Disclaimer
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License Summary*
You are free to share(copy and redistribute) this article in any medium or format and to adapt(remix, transform, and build upon) the material for any purpose, even commercially within the parameters below:
Creative Commons (CC): This is a Creative Commons license.
Attribution (BY): Credit must be given to the creator.
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Introduction
Experimental Section
Chemicals
Tissue and Sample Preparation
AP-SMALDI MSI Sample Preparation
Nano-HILIC Sample Preparation
AP-SMALDI MSI Experiments and Data Analysis
Nano-HILIC Experiments and Data Analysis
Data Processing
Nomenclature
Results and Discussion
S. mansoni Infection Raised the Hepatic Amount of Distinct GSLs
Figure 1
Figure 1. Nano-HILIC MS/MS analysis for GSL profiling. (a) Tandem mass spectrum for a singly charged precursor ion at m/z 1430, assigned as HexNac2Hex3Cer 18:1;O2/16:0, based on headgroup and backbone fragment ions. (b) Principal component analysis of nano-HILIC MS/MS data in positive-ion mode with “●” for bs-infected, “◊” for ss-infected, “□” for noninfected hamster, and “+” for quality control samples. (c) Extracted ion chromatogram (EIC) for GSLs from the liver of bs-infected hamsters. (d) Histograms for GSL species based on nano-HILIC MS/MS data. Black lines above two bars indicate the difference between the two corresponding samples, with “***” representing a significant difference with p < 0.001 and “**” with p < 0.01, respectively. Error bars show the standard error.
DHAP Is a Suitable Matrix for GSL Analysis by AP-SMALDI MSI
Distinct Neutral GSLs Were Enriched in Hepatic Granuloma of S. mansoni-Infected Hamsters
Figure 2
Figure 2. AP-SMALDI analysis of neutral GSLs. (a) Microscopic image of an S. mansoni-liver tissue section of bs-infected hamster, with yellow arrows exemplarily pointing at S. mansoni eggs and orange-dotted circles highlighting granulomas. (b) RGB image corresponding to the microscopic image in (a), showing Fuc3HexNac6HexCer 20:0;O3/16:0 ([M + K]+, at m/z 2442.2211) in red, HexNac2Hex3Cer 18:1;O2/16:0 ([M + K]+, at m/z 1468.7919) in green, and HexNacHex3Cer 18:1;O2/16:0 ([M + K]+, at m/z 1265.7134) in blue. Magnifications of parts (a,b) are shown in parts (e,f). (c) Ion image of a ss-infected hamster liver tissue section showing m/z 1468.7939 with the corresponding microscopic image (g). (d) Ion image of a noninfected hamster showing m/z 1468.7946 with the corresponding microscopic image (h). All scale bars are 250 μm. (i) Semiquantitative evaluation of ion images of Fuc3HexNac6HexCer 20:0;O3/16:0, HexNac2Hex3Cer 18:1;O2/16:0, and HexNacHex3Cer 18:1;O2/16:0, with a 50 × 50 pixel ROI showing the intensity per pixel for n = 3 with standard error as error bars. Red─bs-infected sample ROI with granuloma included, pink─bs-infected samples without granuloma included, green─ss-infected sample, and blue─noninfected sample. Black lines centered above two bars indicate the difference between the two corresponding ROIs, with “***” representing a significant difference with p < 0.001, “**” with p < 0.01, and “*” with p < 0.05. “n.s.” indicates a nonsignificant difference. Error bars show the standard error.
Acidic Glycosphingolipids Were Enriched in Distinct Areas of Hepatic Granuloma
Figure 3
Figure 3. AP-SMALDI analysis of acidic GSLs. (a) Microscopic image of a liver tissue section of a bs-infected hamster, with yellow arrows exemplarily pointing at S. mansoni eggs and orange-dotted circles highlighting granuloma. (b) RGB image corresponding to the microscopic image in (a), showing NeuAcHex2Cer 18:1;O2/16:0 ([M–H]− at m/z 1151.7058) in red, NeuGcHex2Cer 18:1;O2/16:0 ([M–H]− at m/z 1167.7008) in green, and SHexCer 18:1;O2/16:0 ([M–H]− at m/z 778.5148) in blue. Magnifications of (a,b) are shown in (c,f). (d) Ion image of a liver tissue section of a noninfected hamster of NeuGcHex2Cer 18:1;O2/16:0 ([M – H]− at m/z 1167.6977) with the corresponding microscopic image (e). (g) Ion image of a liver tissue section of an ss-infected hamster of NeuGcHex2Cer 18:1;O2/16:0 ([M – H]− at m/z 1167.6987) with corresponding the microscopic image (h). Scale bars indicate a length of 250 μm. (i) Histograms for the GSL species shown in the RGB-overlay based on the semiquantitative analysis of AP-SMALDI data. Black lines centered above two bars indicate the difference between the two corresponding ROIs, with “***” representing a significant difference with p < 0.001, “**” with p < 0.01, and “*” with p < 0.05. Error bars show the standard error.
Mass Spectrometry Imaging Was Optimized Down to 3 μm Lateral Resolution
Figure 4
Figure 4. Increasing the lateral resolution enables the localization of substructures in S. mansoni eggs. (a) RGB overlay images of three granulomas measured with a 15 μm step size, (b) 10 μm step size, and (c) 3 μm step size using an experimental AP-SMALDI imaging setup, showing HexCer 20:0;O3/16:0 ([M + K]+ at m/z 784.5715) in red, HexNac2Hex3Cer 18:1;O2/16:0 ([M + K]+, at m/z 1468.7913) in green, and PC 38:1 ([M + K]+ at m/z 854.6042) in blue.
Conclusions
Supporting Information
The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.analchem.3c05846.
Additional experimental protocols, experimental parameters, data-processing steps, additional results for the matrix evaluation of DHAP compared to other matrices, sublimation setup, more ion images for neutral GSL of bs-infected hamsters, structures of a GSL and monosaccharide units, MS2 spectra of HexNac2Hex3Cer 18:1;O2/16:0 in negative-ion mode, H&E-stained section and the corresponding RGB-overlay of the liver of a bs-infected hamster, granuloma model for the PE- and EP-stages, IHC results compared to MALDI MSI results, and additional ion images for acidic GSL and an H&E-stained section and the corresponding RGB-overlay of the liver of bs-infected hamsters with three different distributions of GSLs within a granuloma (PDF)
Glycosphingolipid database (XLSX)
Terms & Conditions
Most electronic Supporting Information files are available without a subscription to ACS Web Editions. Such files may be downloaded by article for research use (if there is a public use license linked to the relevant article, that license may permit other uses). Permission may be obtained from ACS for other uses through requests via the RightsLink permission system: http://pubs.acs.org/page/copyright/permissions.html.
Acknowledgments
We gratefully acknowledge financial support by the German Science Foundation (DFG) under the grants RO3714/4-2 for M.R. and SP314/23-1 and INST 162/500-1 FUGG for B.S. and by the Hessian Ministry of Science, Higher Education and Art (HMWK), LOEWE Center DRUID. S.H. thanks the Fonds der Chemischen Industrie for granting a Liebig fellowship, and financial support by the Deutsche Forschungsgemeinschaft (HE 8521/1-1) is gratefully acknowledged. S.H. acknowledges the support by the “Ministerium für Kultur und Wissenschaft des Landes Nordrhein-Westfalen” and the German Ministry of Research and Education (BMBF) and is grateful for financial support by the Justus Liebig University via the JLU award 2022.
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- 19Grevelding, C. G. Genomic instability in Schistosoma mansoni. Mol. Biochem. Parasitol. 1999, 101, 207– 216, DOI: 10.1016/S0166-6851(99)00078-XGoogle ScholarThere is no corresponding record for this reference.
- 20Roderfeld, M.; Padem, S.; Lichtenberger, J.; Quack, T.; Weiskirchen, R.; Longerich, T.; Schramm, G.; Churin, Y.; Irungbam, K.; Tschuschner, A.; Windhorst, A.; Grevelding, C. G.; Roeb, E. Schistosoma mansoni Egg-Secreted Antigens Activate Hepatocellular Carcinoma-Associated Transcription Factors c-Jun and STAT3 in Hamster and Human Hepatocytes. Hepatology 2020, 72, 626– 641, DOI: 10.1002/hep.30192Google ScholarThere is no corresponding record for this reference.
- 21Weglage, J.; Wolters, F.; Hehr, L.; Lichtenberger, J.; Wulz, C.; Hempel, F.; Baier, A.; Quack, T.; Köhler, K.; Longerich, T.; Schramm, G.; Irungbam, K.; Mueller, H.; von Buelow, V.; Tschuschner, A.; Odenthal, M.; Drebber, U.; Arousy, M. E.; Ramalho, L. N. Z.; Bankov, K.; Wild, P.; Pons-Kühnemann, J.; Tschammer, J.; Grevelding, C. G.; Roeb, E.; Roderfeld, M. Schistosoma mansoni eggs induce Wnt/β-catenin signaling and activate the protooncogene c-Jun in human and hamster colon. Sci. Rep. 2020, 10, 22373, DOI: 10.1038/s41598-020-79450-4Google ScholarThere is no corresponding record for this reference.
- 22Kompauer, M.; Heiles, S.; Spengler, B. Autofocusing MALDI mass spectrometry imaging of tissue sections and 3D chemical topography of nonflat surfaces. Nat. Methods 2017, 14, 1156– 1158, DOI: 10.1038/nmeth.4433Google Scholar22Autofocusing MALDI mass spectrometry imaging of tissue sections and 3D chemical topography of nonflat surfacesKompauer, Mario; Heiles, Sven; Spengler, BernhardNature Methods (2017), 14 (12), 1156-1158CODEN: NMAEA3; ISSN:1548-7091. (Nature Research)We describe an atm. pressure matrix-assisted laser desorption-ionization mass spectrometry imaging system that uses long-distance laser triangulation on a micrometer scale to simultaneously obtain topog. and mol. information from 3D surfaces. We studied the topog. distribution of compds. on irregular 3D surfaces of plants and parasites, and we imaged nonplanar tissue sections with high lateral resoln., thereby eliminating height-related signal artifacts.
- 23Paschke, C.; Leisner, A.; Hester, A.; Maass, K.; Guenther, S.; Bouschen, W.; Spengler, B. Mirion–a software package for automatic processing of mass spectrometric images. J. Am. Soc. Mass Spectrom. 2013, 24, 1296– 1306, DOI: 10.1007/s13361-013-0667-0Google Scholar23Mirion--A Software Package for Automatic Processing of Mass Spectrometric ImagesPaschke, C.; Leisner, A.; Hester, A.; Maass, K.; Guenther, S.; Bouschen, W.; Spengler, B.Journal of the American Society for Mass Spectrometry (2013), 24 (8), 1296-1306CODEN: JAMSEF; ISSN:1044-0305. (Springer)Mass spectrometric imaging (MSI) techniques are of growing interest for the Life Sciences. In recent years, the development of new instruments employing ion sources that are tailored for spatial scanning allowed the acquisition of large data sets. A subsequent data processing, however, is still a bottleneck in the anal. process, as a manual data interpretation is impossible within a reasonable time frame. The transformation of mass spectrometric data into spatial distribution images of detected compds. turned out to be the most appropriate method to visualize the results of such scans, as humans are able to interpret images faster and easier than plain nos. Image generation, thus, is a time-consuming and complex yet very efficient task. The free software package "Mirion," presented allows the handling and anal. of data sets acquired by mass spectrometry imaging. Mirion can be used for image processing of MSI data obtained from many different sources, as it uses the HUPO-PSI-based std. data format imzML, which is implemented in the proprietary software of most of the mass spectrometer companies. Different graphical representations of the recorded data are available. Furthermore, automatic calcn. and overlay of mass spectrometric images promotes direct comparison of different analytes for data evaluation. The program also includes tools for image processing and image anal.
- 24Vajn, K.; Viljetić, B.; Degmečić, I. V.; Schnaar, R. L.; Heffer, M. Differential distribution of major brain gangliosides in the adult mouse central nervous system. PLoS One 2013, 8, e75720 DOI: 10.1371/journal.pone.0075720Google Scholar24Differential distribution of major brain gangliosides in the adult mouse central nervous systemVajn, Katarina; Viljetic, Barbara; Degmecic, Ivan Veceslav; Schnaar, Ronald L.; Heffer, MarijaPLoS One (2013), 8 (9), e75720CODEN: POLNCL; ISSN:1932-6203. (Public Library of Science)Gangliosides - sialic acid-bearing glycolipids - are major cell surface determinants on neurons and axons. The same four closely related structures, GM1, GD1a, GD1b and GT1b, comprise the majority of total brain gangliosides in mammals and birds. Gangliosides regulate the activities of proteins in the membranes in which they reside, and also act as cell-cell recognition receptors. Understanding the functions of major brain gangliosides requires knowledge of their tissue distribution, which has been accomplished in the past using biochem. and immunohistochem. methods. Armed with new knowledge about the stability and accessibility of gangliosides in tissues and new IgG-class specific monoclonal antibodies, we investigated the detailed tissue distribution of gangliosides in the adult mouse brain. Gangliosides GD1b and GT1b are widely expressed in gray and white matter. In contrast, GM1 is predominately found in white matter and GD1a is specifically expressed in certain brain nuclei/tracts. These findings are considered in relationship to the hypothesis that gangliosides GD1a and GT1b act as receptors for an important axon-myelin recognition protein, myelin-assocd. glycoprotein (MAG). Mediating axon-myelin interactions is but one potential function of the major brain gangliosides, and more detailed knowledge of their distribution may help direct future functional studies.
- 25Vens-Cappell, S.; Kouzel, I. U.; Kettling, H.; Soltwisch, J.; Bauwens, A.; Porubsky, S.; Müthing, J.; Dreisewerd, K. On-Tissue Phospholipase C Digestion for Enhanced MALDI-MS Imaging of Neutral Glycosphingolipids. Anal. Chem. 2016, 88, 5595– 5599, DOI: 10.1021/acs.analchem.6b01084Google Scholar25On-Tissue Phospholipase C Digestion for Enhanced MALDI-MS Imaging of Neutral GlycosphingolipidsVens-Cappell, Simeon; Kouzel, Ivan U.; Kettling, Hans; Soltwisch, Jens; Bauwens, Andreas; Porubsky, Stefan; Muething, Johannes; Dreisewerd, KlausAnalytical Chemistry (Washington, DC, United States) (2016), 88 (11), 5595-5599CODEN: ANCHAM; ISSN:0003-2700. (American Chemical Society)Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) can be used to simultaneously visualize the lateral distribution of different lipid classes in tissue sections, but the applicability of the method to real-life samples is often limited by ion suppression effects. In particular, the presence of abundant phosphatidylcholines (PCs) can reduce the ion yields for all other lipid species in pos. ion mode measurements. Here, we used on-tissue treatment with buffer-free phospholipase C (PLC) to near-quant. degrade PCs in fresh-frozen tissue sections. The ion signal intensities of mono-, di-, and oligohexosylceramides were enhanced by up to 10-fold. In addn., visualization of Shiga toxin receptor globotriaosylceramide (Gb3Cer) in the kidneys of wild-type and α-galactosidase A-knockout (Fabry) mice was possible at about ten micrometer resoln. Importantly, the PLC treatment did not decrease the high lateral resoln. of the MS imaging anal.
- 26Kirsch, S.; Müthing, J.; Peter-Katalinić, J.; Bindila, L. On-line nano-HPLC/ESI QTOF MS monitoring of α2–3 and α2–6 sialylation in granulocyte glycosphingolipidome. Biol. Chem. 2009, 390, 657– 672, DOI: 10.1515/BC.2009.066Google ScholarThere is no corresponding record for this reference.
- 27Katajamaa, M.; Miettinen, J.; Oresic, M. MZmine: toolbox for processing and visualization of mass spectrometry based molecular profile data. Bioinformatics 2006, 22, 634– 636, DOI: 10.1093/bioinformatics/btk039Google Scholar27MZmine: toolbox for processing and visualization of mass spectrometry based molecular profile dataKatajamaa, Mikko; Miettinen, Jarkko; Oresic, MatejBioinformatics (2006), 22 (5), 634-636CODEN: BOINFP; ISSN:1367-4803. (Oxford University Press)New addnl. methods are presented for processing and visualizing mass spectrometry based mol. profile data, implemented as part of the recently introduced MZmine software. They include new features and extensions such as support for mzXML data format, capability to perform batch processing for large no. of files, support for parallel processing, new methods for calcg. peak areas using post-alignment peak picking algorithm and implementation of Sammon's mapping and curvilinear distance anal. for data visualization and exploratory anal.
- 28Pluskal, T.; Castillo, S.; Villar-Briones, A.; Oresic, M. MZmine 2: modular framework for processing, visualizing, and analyzing mass spectrometry-based molecular profile data. BMC Bioinf. 2010, 11, 395, DOI: 10.1186/1471-2105-11-395Google Scholar28MZmine 2: modular framework for processing, visualizing, and analyzing mass spectrometry-based molecular profile dataPluskal Tomas; Castillo Sandra; Villar-Briones Alejandro; Oresic MatejBMC bioinformatics (2010), 11 (), 395 ISSN:.BACKGROUND: Mass spectrometry (MS) coupled with online separation methods is commonly applied for differential and quantitative profiling of biological samples in metabolomic as well as proteomic research. Such approaches are used for systems biology, functional genomics, and biomarker discovery, among others. An ongoing challenge of these molecular profiling approaches, however, is the development of better data processing methods. Here we introduce a new generation of a popular open-source data processing toolbox, MZmine 2. RESULTS: A key concept of the MZmine 2 software design is the strict separation of core functionality and data processing modules, with emphasis on easy usability and support for high-resolution spectra processing. Data processing modules take advantage of embedded visualization tools, allowing for immediate previews of parameter settings. Newly introduced functionality includes the identification of peaks using online databases, MSn data support, improved isotope pattern support, scatter plot visualization, and a new method for peak list alignment based on the random sample consensus (RANSAC) algorithm. The performance of the RANSAC alignment was evaluated using synthetic datasets as well as actual experimental data, and the results were compared to those obtained using other alignment algorithms. CONCLUSIONS: MZmine 2 is freely available under a GNU GPL license and can be obtained from the project website at: http://mzmine.sourceforge.net/. The current version of MZmine 2 is suitable for processing large batches of data and has been applied to both targeted and non-targeted metabolomic analyses.
- 29Tyanova, S.; Temu, T.; Sinitcyn, P.; Carlson, A.; Hein, M. Y.; Geiger, T.; Mann, M.; Cox, J. The Perseus computational platform for comprehensive analysis of (prote)omics data. Nat. Methods 2016, 13, 731– 740, DOI: 10.1038/nmeth.3901Google Scholar29The Perseus computational platform for comprehensive analysis of (prote)omics dataTyanova, Stefka; Temu, Tikira; Sinitcyn, Pavel; Carlson, Arthur; Hein, Marco Y.; Geiger, Tamar; Mann, Matthias; Cox, JuergenNature Methods (2016), 13 (9), 731-740CODEN: NMAEA3; ISSN:1548-7091. (Nature Publishing Group)A main bottleneck in proteomics is the downstream biol. anal. of highly multivariate quant. protein abundance data generated using mass-spectrometry-based anal. We developed the Perseus software platform (http://www.perseus-framework.org) to support biol. and biomedical researchers in interpreting protein quantification, interaction and post-translational modification data. Perseus contains a comprehensive portfolio of statistical tools for high-dimensional omics data anal. covering normalization, pattern recognition, time-series anal., cross-omics comparisons and multiple-hypothesis testing. A machine learning module supports the classification and validation of patient groups for diagnosis and prognosis, and it also detects predictive protein signatures. Central to Perseus is a user-friendly, interactive workflow environment that provides complete documentation of computational methods used in a publication. All activities in Perseus are realized as plugins, and users can extend the software by programming their own, which can be shared through a plugin store. We anticipate that Perseus's arsenal of algorithms and its intuitive usability will empower interdisciplinary anal. of complex large data sets.
- 30Fahy, E.; Subramaniam, S.; Brown, H. A.; Glass, C. K.; Merrill, A. H.; Murphy, R. C.; Raetz, C. R. H.; Russell, D. W.; Seyama, Y.; Shaw, W.; Shimizu, T.; Spener, F.; van Meer, G.; VanNieuwenhze, M. S.; White, S. H.; Witztum, J. L.; Dennis, E. A. A comprehensive classification system for lipids. J. Lipid Res. 2005, 46, 839– 861, DOI: 10.1194/jlr.E400004-JLR200Google Scholar30A comprehensive classification system for lipidsFahy, Eoin; Subramaniam, Shankar; Brown, H. Alex; Glass, Christopher K.; Merrill, Alfred H., Jr.; Murphy, Robert C.; Raetz, Christian R. H.; Russell, David W.; Seyama, Yousuke; Shaw, Walter; Shimizu, Takao; Spener, Friedrich; van Meer, Gerrit; VanNieuwenhze, Michael S.; White, Stephen H.; Witztum, Joseph L.; Dennis, Edward A.Journal of Lipid Research (2005), 46 (5), 839-861CODEN: JLPRAW; ISSN:0022-2275. (American Society for Biochemistry and Molecular Biology, Inc.)Lipids are produced, transported, and recognized by the concerted actions of numerous enzymes, binding proteins, and receptors. A comprehensive anal. of lipid mols., "lipidomics," in the context of genomics and proteomics is crucial to understanding cellular physiol. and pathol.; consequently, lipid biol. has become a major research target of the postgenomic revolution and systems biol. To facilitate international communication about lipids, a comprehensive classification of lipids with a common platform that is compatible with informatics requirements has been developed to deal with the massive amts. of data that will be generated by the lipid community. As an initial step in this development, the authors divide lipids into 8 categories (fatty acyls, glycerolipids, glycerophospholipids, sphingolipids, sterol lipids, prenol lipids, saccharolipids, and polyketides) contg. distinct classes and subclasses of mols., devise a common manner of representing the chem. structures of individual lipids and their derivs., and provide a 12 digit identifier for each unique lipid mol. The lipid classification scheme is chem. based and driven by the distinct hydrophobic and hydrophilic elements that compose the lipid. This structured vocabulary will facilitate the systematization of lipid biol. and enable the cataloging of lipids and their properties in a way that is compatible with other macromol. databases.
- 31Liebisch, G.; Fahy, E.; Aoki, J.; Dennis, E. A.; Durand, T.; Ejsing, C. S.; Fedorova, M.; Feussner, I.; Griffiths, W. J.; Köfeler, H.; Merrill, A. H.; Murphy, R. C.; O’Donnell, V. B.; Oskolkova, O.; Subramaniam, S.; Wakelam, M. J. O.; Spener, F. Update on LIPID MAPS classification, nomenclature, and shorthand notation for MS-derived lipid structures. J. Lipid Res. 2020, 61, 1539– 1555, DOI: 10.1194/jlr.S120001025Google Scholar31Update on LIPID MAPS classification, nomenclature, and shorthand notation for MS-derived lipid structuresLiebisch, Gerhard; Fahy, Eoin; Aoki, Junken; Dennis, Edward A.; Durand, Thierry; Ejsing, Christer S.; Fedorova, Maria; Feussner, Ivo; Griffiths, William J.; Koefeler, Harald; Merrill, Alfred H., Jr.; Murphy, Robert C.; O'Donnell, Valerie B.; Oskolkova, Olga; Subramaniam, Shankar; Wakelam, Michael J. O.; Spener, FriedrichJournal of Lipid Research (2020), 61 (12), 1539-1555CODEN: JLPRAW; ISSN:0022-2275. (American Society for Biochemistry and Molecular Biology)A comprehensive and standardized system to report lipid structures analyzed by MS is essential for the communication and storage of lipidomics data. Herein, an update on both the LIPID MAPS classification system and shorthand notation of lipid structures is presented for lipid categories Fatty Acyls (FA), Glycerolipids (GL), Glycerophospholipids (GP), Sphingolipids (SP), and Sterols (ST). With its major changes, i.e., annotation of ring double bond equiv. and no. of oxygens, the updated shorthand notation facilitates reporting of newly delineated oxygenated lipid species as well. For standardized reporting in lipidomics, the hierarchical architecture of shorthand notation reflects the diverse structural resoln. powers provided by mass spectrometric assays. Moreover, shorthand notation is expanded beyond mammalian phyla to lipids from plant and yeast phyla. Finally, annotation of atoms is included for the use of stable isotope-labeled compds. in metabolic labeling expts. or as internal stds. This update on lipid classification, nomenclature, and shorthand annotation for lipid mass spectra is considered a std. for lipid data presentation.
- 32Varki, A.; Cummings, R. D.; Aebi, M.; Packer, N. H.; Seeberger, P. H.; Esko, J. D.; Stanley, P.; Hart, G.; Darvill, A.; Kinoshita, T.; Prestegard, J. J.; Schnaar, R. L.; Freeze, H. H.; Marth, J. D.; Bertozzi, C. R.; Etzler, M. E.; Frank, M.; Vliegenthart, J. F.; Lütteke, T.; Perez, S.; Bolton, E.; Rudd, P.; Paulson, J.; Kanehisa, M.; Toukach, P.; Aoki-Kinoshita, K. F.; Dell, A.; Narimatsu, H.; York, W.; Taniguchi, N.; Kornfeld, S. Symbol Nomenclature for Graphical Representations of Glycans. Glycobiology 2015, 25, 1323– 1324, DOI: 10.1093/glycob/cwv091Google Scholar32Symbol nomenclature for graphical representations of glycansVarki, Ajit; Cummings, Richard D.; Aebi, Markus; Packer, Nicole H.; Seeberger, Peter H.; Esko, Jeffrey D.; Stanley, Pamela; Hart, Gerald; Darvill, Alan; Kinoshita, Taroh; Prestegard, James J.; Schnaar, Ronald L.; Freeze, Hudson H.; Marth, Jamey D.; Bertozzi, Carolyn R.; Etzler, Marilynn E.; Frank, Martin; Vliegenthart, Johannes F. G.; Lutteke, Thomas; Perez, Serge; Bolton, Evan; Rudd, Pauline; Paulson, James; Kanehisa, Minoru; Toukach, Philip; Aoki-Kinoshita, Kiyoko F.; Dell, Anne; Narimatsu, Hisashi; York, William; Taniguchi, Naoyuki; Kornfeld, StuartGlycobiology (2015), 25 (12), 1323-1324CODEN: GLYCE3; ISSN:0959-6658. (Oxford University Press)Symbol nomenclature for graphical representations of glycans.
- 33Domon, B.; Costello, C. E. A systematic nomenclature for carbohydrate fragmentations in FAB-MS/MS spectra of glycoconjugates. Glycoconjugate J. 1988, 5, 397– 409, DOI: 10.1007/BF01049915Google Scholar33A systematic nomenclature for carbohydrate fragmentations in FAB-MS/MS spectra of glycoconjugatesDomon, Bruno; Costello, Catherine E.Glycoconjugate Journal (1988), 5 (4), 397-409CODEN: GLJOEW; ISSN:0282-0080.A summary of the ion types obsd. in the fast-atom-bombardment mass spectrometry (FAB-MS) and collision induced decompn. (CID) MS/MS spectra of glycoconjugates (glycosphingolipids, glycopeptides, glycosides, and carbohydrates) is presented. The variety of product ion types that arise by cleavages within the carbohydrate moieties has prompted the introduction of a systemic nomenclature to designate these ions. The proposed nomenclature has been developed primarily for FAB-MS, but can be used as well for other ionization techniques [field desorption (FD), direct chem. ionization (DCI), laser desorption/Fourier transform (LD/FT), etc.], and is applicable to spectra recorded in either the pos. or neg. ion mode during both MS and MS/MS expts. Ai, Bi, and Ci labels are used to designate fragments contg. a terminal (non-reducing end) sugar unit, whereas Xj, Yj, and Zj represent ions still contg. the aglycon (or the reducing sugar unit). Subscripts indicate the position relative to the termini analogous to the system used in peptides, and superscripts indicate cleavages within carbohydrate rings.
- 34Merrill, A. H.; Sullards, M. C.; Allegood, J. C.; Kelly, S.; Wang, E. Sphingolipidomics: high-throughput, structure-specific, and quantitative analysis of sphingolipids by liquid chromatography tandem mass spectrometry. Methods 2005, 36, 207– 224, DOI: 10.1016/j.ymeth.2005.01.009Google Scholar34Sphingolipidomics: High-throughput, structure-specific, and quantitative analysis of sphingolipids by liquid chromatography tandem mass spectrometryMerrill, Alfred H., Jr.; Sullards, M. Cameron; Allegood, Jeremy C.; Kelly, Samuel; Wang, ElaineMethods (San Diego, CA, United States) (2005), 36 (2), 207-224CODEN: MTHDE9; ISSN:1046-2023. (Elsevier)A review. Sphingolipids are a highly diverse category of compds. that serve not only as components of biol. structures but also as regulators of numerous cell functions. Because so many of the sphingolipids in a biol. system are bioactive and are often closely related structurally and metabolically (for example, complex sphingolipids <--> ceramide <--> sphingosine <--> sphingosine 1-phosphate), to understand the role(s) of sphingolipids in a given context one must conduct a "sphingolipidomic" anal. - i.e., a structure-specific and quant. measurement of all of these compds., or at least all members of a crit. subset. Liq. chromatog. tandem mass spectrometry (LC MS/MS) is currently the only technol. with the requisite structural specificity, sensitivity, quant. precision, and relatively high-throughput capabilities for such analyses in small samples (∼106 cells). This review describes a series of protocols that have been developed for the relatively rapid anal. of all of the mol. species from 3-ketosphinganines through sphingomyelins and some glycosphingolipids (including all the compds. that are presently regarded as sphingolipid "second messengers") using normal- and reverse-phase LC to sep. isometric and isobaric species (such as glucosylceramides and galactosylceramides) in combination with triple quadrupole (for MS/MS) and hybrid quadrupole-ion trap (for MS3) mass spectrometry. Also discussed are some of the issues remaining to be resolved in the anal. of the full sphingolipidome.
- 35Smit, C. H.; van Diepen, A.; Nguyen, D. L.; Wuhrer, M.; Hoffmann, K. F.; Deelder, A. M.; Hokke, C. H. Glycomic Analysis of Life Stages of the Human Parasite Schistosoma mansoni Reveals Developmental Expression Profiles of Functional and Antigenic Glycan Motifs. Mol. Cell. Proteomics 2015, 14, 1750– 1769, DOI: 10.1074/mcp.M115.048280Google ScholarThere is no corresponding record for this reference.
- 36Danne-Rasche, N.; Coman, C.; Ahrends, R. Nano-LC/NSI MS Refines Lipidomics by Enhancing Lipid Coverage, Measurement Sensitivity, and Linear Dynamic Range. Anal. Chem. 2018, 90, 8093– 8101, DOI: 10.1021/acs.analchem.8b01275Google Scholar36Nano-LC/NSI MS Refines Lipidomics by Enhancing Lipid Coverage, Measurement Sensitivity, and Linear Dynamic RangeDanne-Rasche, Niklas; Coman, Cristina; Ahrends, RobertAnalytical Chemistry (Washington, DC, United States) (2018), 90 (13), 8093-8101CODEN: ANCHAM; ISSN:0003-2700. (American Chemical Society)Nano-liq. chromatog. (nLC)-nanoelectrospray (NSI) is one of the cornerstones of mass-spectrometry-based bioanalytics. Nevertheless, the application of nLC is not yet prevalent in lipid analyses. In this study, the authors established a reproducible nLC sepn. for global lipidomics and describe the merits of using such a miniaturized system for lipid analyses. In order to enable comprehensive lipid analyses that is not restricted to specific lipid classes, the authors particularly optimized sample prepn. conditions and reversed-phase sepn. parameters. The authors further benchmarked the developed nLC system to a commonly used high flow HPLC/ESI MS system in terms of lipidome coverage and sensitivity. The comparison revealed an intensity gain between 2 and 3 orders of magnitude for individual lipid classes and an increase in the linear dynamic range of up to 2 orders of magnitude. Furthermore, the anal. of the yeast lipidome using nLC/NSI resulted in more than a 3-fold gain in lipid identifications. All in all, the authors identified 447 lipids from the core phospholipid lipid classes (PA, PE, PC, PS, PG, and PI) in Saccharomyces cerevisiae.
- 37Hams, E.; Aviello, G.; Fallon, P. G. The schistosoma granuloma: friend or foe?. Front. Immunol. 2013, 4, 89, DOI: 10.3389/fimmu.2013.00089Google Scholar37The schistosoma granuloma: friend or foe?Hams Emily; Aviello Gabriella; Fallon Padraic GFrontiers in immunology (2013), 4 (), 89 ISSN:.Infection of man with Schistosoma species of trematode parasite causes marked chronic morbidity. Individuals that become infected with Schistosomes may develop a spectrum of pathology ranging from mild cercarial dermatitis to severe tissue inflammation, in particular within the liver and intestines, which can lead to life threatening hepatosplenomegaly. It is well established that the etiopathology during schistosomiasis is primarily due to an excessive or unregulated inflammatory response to the parasite, in particular to eggs that become trapped in various tissue. The eggs forms the foci of a classical type 2 granulomatous inflammation, characterized by an eosinophil-rich, CD4(+) T helper (Th) 2 cell dominated infiltrate with additional infiltration of alternatively activated macrophages (M2). Indeed the sequela of the type 2 perioval granuloma is marked fibroblast infiltration and development of fibrosis. Paradoxically, while the granuloma is the cause of pathology it also can afford some protection, whereby the granuloma minimizes collateral tissue damage in the liver and intestines. Furthermore, the parasite is exquisitely reliant on the host to mount a granulomatous reaction to the eggs as this inflammatory response facilitates the successful excretion of the eggs from the host. In this focused review we will address the conundrum of the S. mansoni granuloma acting as both friend and foe in inflammation during infection.
- 38Llanwarne, F.; Helmby, H. Granuloma formation and tissue pathology in Schistosoma japonicum versus Schistosoma mansoni infections. Parasite Immunol. 2021, 43, e12778 DOI: 10.1111/pim.12778Google ScholarThere is no corresponding record for this reference.
- 39Moné, H.; Boissier, J. Sexual biology of schistosomes. J. Adv. Parasitol. 2004, 57, 89– 189, DOI: 10.1016/S0065-308X(04)57002-1Google ScholarThere is no corresponding record for this reference.
- 40Shaw, M. K. Schistosoma mansoni: vitelline gland development in females from single sex infections. J. Helminthol. 1987, 61, 253– 259, DOI: 10.1017/S0022149X00010117Google ScholarThere is no corresponding record for this reference.
- 41Skelly, P. J.; Da’dara, A. A.; Li, X.-H.; Castro-Borges, W.; Wilson, R. A. Schistosome Feeding and Regurgitation. PLoS Pathog. 2014, 10 (8), e1004246 DOI: 10.1371/journal.ppat.1004246Google ScholarThere is no corresponding record for this reference.
- 42Hayasaka, T.; Goto-Inoue, N.; Masaki, N.; Ikegami, K.; Setou, M. Application of 2,5-dihydroxyacetophenone with sublimation provides efficient ionization of lipid species by atmospheric pressure matrix-assisted laser desorption/ionization imaging mass spectrometry. Surf. Interface Anal. 2014, 46, 1219– 1222, DOI: 10.1002/sia.5592Google Scholar42Application of 2,5-dihydroxyacetophenone with sublimation provides efficient ionization of lipid species by atmospheric pressure matrix-assisted laser desorption/ionization imaging mass spectrometryHayasaka, Takahiro; Goto-Inoue, Naoko; Masaki, Noritaka; Ikegami, Koji; Setou, MitsutoshiSurface and Interface Analysis (2014), 46 (12-13), 1219-1222CODEN: SIANDQ; ISSN:0142-2421. (John Wiley & Sons Ltd.)Imaging mass spectrometry (IMS) is a powerful tool for detecting and visualizing biomols. in tissue sections. Most IMS instruments are equipped with a high-vacuum chamber for matrix-assisted laser desorption/ionization (MALDI). However, the use of high-vacuum conditions restricts the usage of the matrix to less-volatile substances. We recently developed an atm. pressure MALDI instrument, named the 'mass microscope', to avoid this problem. The atm. pressure condition enables us to use volatile matrixes. In this study, we compared the reliability of a volatile matrix, 2,5-dihydroxyacetophenone (DHAP) with that of a conventionally used matrix, 2,5-dihydroxybenzoic acid (DHB). Compared with the results obtained with DHB, the mass spectra obtained with DHAP showed a variety of signal species in a mass region corresponding to phospholipid species in both the pos. and neg. ion modes without any matrix-derived signals. DHAP provided highly strong signals of ganglioside (GM1) species. We also compared two matrix deposition techniques for DHAP matrix: sublimation and spraying. We found that the sublimation method for applying DHAP matrix on a tissue surface can maintain ion images of lipid species, including ganglioside species only in a tissue. In contrast, the spraying method led the diffusion of GM1 species toward the outside of the tissue sections. Consequently, the sublimation method for applications of DHAP is adequate to analyze some types of lipid species including GM1 in atm. pressure MALDI IMS. Copyright © 2014 John Wiley & Sons, Ltd.
- 43Jackson, S. N.; Muller, L.; Roux, A.; Oktem, B.; Moskovets, E.; Doroshenko, V. M.; Woods, A. S. AP-MALDI Mass Spectrometry Imaging of Gangliosides Using 2,6-Dihydroxyacetophenone. J. Am. Soc. Mass Spectrom. 2018, 29, 1463– 1472, DOI: 10.1007/s13361-018-1928-8Google Scholar43AP-MALDI Mass Spectrometry Imaging of Gangliosides Using 2,6-DihydroxyacetophenoneJackson, Shelley N.; Muller, Ludovic; Roux, Aurelie; Oktem, Berk; Moskovets, Eugene; Doroshenko, Vladimir M.; Woods, Amina S.Journal of the American Society for Mass Spectrometry (2018), 29 (7), 1463-1472CODEN: JAMSEF; ISSN:1044-0305. (Springer)Matrix-assisted laser/desorption ionization (MALDI) mass spectrometry imaging (MSI) is widely used as a unique tool to record the distribution of a large range of biomols. in tissues. 2,6-Dihydroxyacetophenone (DHA) matrix has been shown to provide efficient ionization of lipids, esp. gangliosides. The major drawback for DHA as it applies to MS imaging is that it sublimes under vacuum (low pressure) at the extended time necessary to complete both high spatial and mass resoln. MSI studies of whole organs. To overcome the problem of sublimation, the authors used an atm. pressure (AP)-MALDI source to obtain high spatial resoln. images of lipids in the brain using a high mass resoln. mass spectrometer. Addnl., the advantages of atm. pressure and DHA for imaging gangliosides are highlighted. The imaging of [M-H]- and [M-H2O-H]- mass peaks for GD1 gangliosides showed different distribution, most likely reflecting the different spatial distribution of GD1a and GD1b species in the brain.
- 44Amaral, K. B.; Silva, T. P.; Dias, F. F.; Malta, K. K.; Rosa, F. M.; Costa-Neto, S. F.; Gentile, R.; Melo, R. C. N. Histological assessment of granulomas in natural and experimental Schistosoma mansoni infections using whole slide imaging. PLoS One 2017, 12, e0184696 DOI: 10.1371/journal.pone.0184696Google ScholarThere is no corresponding record for this reference.
- 45Malta, K. K.; Silva, T. P.; Palazzi, C.; Neves, V. H.; Carmo, L. A. S.; Cardoso, S. J.; Melo, R. C. N. Changing our view of the Schistosoma granuloma to an ecological standpoint. Biol. Rev. Cambridge Philos. Soc. 2021, 96, 1404– 1420, DOI: 10.1111/brv.12708Google ScholarThere is no corresponding record for this reference.
- 46Kawanishi, K.; Dhar, C.; Do, R.; Varki, N.; Gordts, P. L. S. M.; Varki, A. Human species-specific loss of CMP- N-acetylneuraminic acid hydroxylase enhances atherosclerosis via intrinsic and extrinsic mechanisms. Proc. Natl. Acad. Sci. U.S.A. 2019, 116, 16036– 16045, DOI: 10.1073/pnas.1902902116Google ScholarThere is no corresponding record for this reference.
- 47Structure and Function of Gangliosides. Advances in Experimental Medicine and Biology; Svennerholm, L., Mandel, P., Dreyfus, H., Urban, P.-F., Eds; Springer: Boston, MA, 1980.Google ScholarThere is no corresponding record for this reference.
- 48Zhang, Y.; Wang, J.; Liu, J.; Han, J.; Xiong, S.; Yong, W.; Zhao, Z. Combination of ESI and MALDI mass spectrometry for qualitative, semi-quantitative and in situ analysis of gangliosides in brain. Sci. Rep. 2016, 6, 25289, DOI: 10.1038/srep25289Google Scholar48Combination of ESI and MALDI mass spectrometry for qualitative, semi-quantitative and in situ analysis of gangliosides in brainZhang, Yangyang; Wang, Jun; Liu, Jian'an; Han, Juanjuan; Xiong, Shaoxiang; Yong, Weidong; Zhao, ZhenwenScientific Reports (2016), 6 (), 25289CODEN: SRCEC3; ISSN:2045-2322. (Nature Publishing Group)Gangliosides are a family of complex lipids that are abundant in the brain. There is no doubt the investigations about the distribution of gangliosides in brian and the relationship between gangliosides and Alzheimer's disease is profound. However, these investigations are full of challenges due to the structural complexity of gangliosides. In this work, the method for efficient extn. and enrichment of gangliosides from brain was established. Moreover, the distribution of gangliosides in brain was obtained by matrix-assisted laser desorption ionization (MALDI) mass spectrometry imaging (MSI). It was found that 3-aminoquinoline (3-AQ) as matrix was well-suited for MALDI MS anal. of gangliosides in neg. ion mode. In addn., the pretreatment by ethanol (EtOH) cleaning brain section and the addn. of ammonium formate greatly improved the MS signal of gangliosides in the brain section when MALDI MSI anal. was employed. The distribution of ganliosides in cerebral cortex, hippocampus and cerebellum was resp. acquired by electrospray ionization (ESI) MS and MALDI MSI, and the data were compared for reliability evaluation of MALDI MSI. Further, applying MALDI MSI technol., the distribution of gangliosides in amyloid precursor protein transgenic mouse brain was obtained, which may provide a new insight for bioresearch of Alzheimer's disease (AD).
- 49Colsch, B.; Jackson, S. N.; Dutta, S.; Woods, A. S. Molecular Microscopy of Brain Gangliosides: Illustrating their Distribution in Hippocampal Cell Layers. ACS Chem. Neurosci. 2011, 2, 213– 222, DOI: 10.1021/cn100096hGoogle Scholar49Molecular Microscopy of Brain Gangliosides: Illustrating their Distribution in Hippocampal Cell LayersColsch, Benoit; Jackson, Shelley N.; Dutta, Sucharita; Woods, Amina S.ACS Chemical Neuroscience (2011), 2 (4), 213-222CODEN: ACNCDM; ISSN:1948-7193. (American Chemical Society)Gangliosides are amphiphilic mols. found in the outer layer of plasma membranes of all vertebrate cells. They play a major role in cell recognition and signaling and are involved in diseases affecting the central nervous system (CNS). We are reporting the differential distribution of ganglioside species in the rat brain's cerebrum, based on their ceramide assocd. core, and for the first time the presence of acetylation detected by matrix-assisted laser desorption/ionization (MALDI) mass spectrometry, which was used to map and image gangliosides with detailed structural information and histol. accuracy. In the hippocampus, localization of the major species GM1, GD1, O-acetylGD1, GT1, and O-acetylGT1 depends on the sphingoid base (d18:1 sphingosine or d20:1 eicosasphingosine) in the mol. layer of the dentate gyrus (ML), which is made up of three distinct layers, the inner mol. layer (IML), which contains sphingosine exclusively, and the middle mol. layer (MML) and the outer mol. layer (OML) where eicosasphingosine is the only sphingoid base. These results demonstrate that there is a different distribution of gangliosides in neuronal axons and dendrites depending on the ceramide core of each layer. GM3, GM2, GD3, and GD2 contain sphingosine predominantly and are mainly present in body cell layers, which are made up of the pyramidal cell layer (Py) and the granular layer of the dentate gyrus (GL), in contrast with GQ1 and the O-acetylated forms of GD1, GT1, and GQ1 gangliosides, which contain both sphingoid bases. However their distribution is based on the sialylated and acetylated oligosaccharide chains in the neuronal cell bodies.
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Abstract
Figure 1
Figure 1. Nano-HILIC MS/MS analysis for GSL profiling. (a) Tandem mass spectrum for a singly charged precursor ion at m/z 1430, assigned as HexNac2Hex3Cer 18:1;O2/16:0, based on headgroup and backbone fragment ions. (b) Principal component analysis of nano-HILIC MS/MS data in positive-ion mode with “●” for bs-infected, “◊” for ss-infected, “□” for noninfected hamster, and “+” for quality control samples. (c) Extracted ion chromatogram (EIC) for GSLs from the liver of bs-infected hamsters. (d) Histograms for GSL species based on nano-HILIC MS/MS data. Black lines above two bars indicate the difference between the two corresponding samples, with “***” representing a significant difference with p < 0.001 and “**” with p < 0.01, respectively. Error bars show the standard error.
Figure 2
Figure 2. AP-SMALDI analysis of neutral GSLs. (a) Microscopic image of an S. mansoni-liver tissue section of bs-infected hamster, with yellow arrows exemplarily pointing at S. mansoni eggs and orange-dotted circles highlighting granulomas. (b) RGB image corresponding to the microscopic image in (a), showing Fuc3HexNac6HexCer 20:0;O3/16:0 ([M + K]+, at m/z 2442.2211) in red, HexNac2Hex3Cer 18:1;O2/16:0 ([M + K]+, at m/z 1468.7919) in green, and HexNacHex3Cer 18:1;O2/16:0 ([M + K]+, at m/z 1265.7134) in blue. Magnifications of parts (a,b) are shown in parts (e,f). (c) Ion image of a ss-infected hamster liver tissue section showing m/z 1468.7939 with the corresponding microscopic image (g). (d) Ion image of a noninfected hamster showing m/z 1468.7946 with the corresponding microscopic image (h). All scale bars are 250 μm. (i) Semiquantitative evaluation of ion images of Fuc3HexNac6HexCer 20:0;O3/16:0, HexNac2Hex3Cer 18:1;O2/16:0, and HexNacHex3Cer 18:1;O2/16:0, with a 50 × 50 pixel ROI showing the intensity per pixel for n = 3 with standard error as error bars. Red─bs-infected sample ROI with granuloma included, pink─bs-infected samples without granuloma included, green─ss-infected sample, and blue─noninfected sample. Black lines centered above two bars indicate the difference between the two corresponding ROIs, with “***” representing a significant difference with p < 0.001, “**” with p < 0.01, and “*” with p < 0.05. “n.s.” indicates a nonsignificant difference. Error bars show the standard error.
Figure 3
Figure 3. AP-SMALDI analysis of acidic GSLs. (a) Microscopic image of a liver tissue section of a bs-infected hamster, with yellow arrows exemplarily pointing at S. mansoni eggs and orange-dotted circles highlighting granuloma. (b) RGB image corresponding to the microscopic image in (a), showing NeuAcHex2Cer 18:1;O2/16:0 ([M–H]− at m/z 1151.7058) in red, NeuGcHex2Cer 18:1;O2/16:0 ([M–H]− at m/z 1167.7008) in green, and SHexCer 18:1;O2/16:0 ([M–H]− at m/z 778.5148) in blue. Magnifications of (a,b) are shown in (c,f). (d) Ion image of a liver tissue section of a noninfected hamster of NeuGcHex2Cer 18:1;O2/16:0 ([M – H]− at m/z 1167.6977) with the corresponding microscopic image (e). (g) Ion image of a liver tissue section of an ss-infected hamster of NeuGcHex2Cer 18:1;O2/16:0 ([M – H]− at m/z 1167.6987) with corresponding the microscopic image (h). Scale bars indicate a length of 250 μm. (i) Histograms for the GSL species shown in the RGB-overlay based on the semiquantitative analysis of AP-SMALDI data. Black lines centered above two bars indicate the difference between the two corresponding ROIs, with “***” representing a significant difference with p < 0.001, “**” with p < 0.01, and “*” with p < 0.05. Error bars show the standard error.
Figure 4
Figure 4. Increasing the lateral resolution enables the localization of substructures in S. mansoni eggs. (a) RGB overlay images of three granulomas measured with a 15 μm step size, (b) 10 μm step size, and (c) 3 μm step size using an experimental AP-SMALDI imaging setup, showing HexCer 20:0;O3/16:0 ([M + K]+ at m/z 784.5715) in red, HexNac2Hex3Cer 18:1;O2/16:0 ([M + K]+, at m/z 1468.7913) in green, and PC 38:1 ([M + K]+ at m/z 854.6042) in blue.
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- 13Zhang, T.; de Waard, A. A.; Wuhrer, M.; Spaapen, R. M. The Role of Glycosphingolipids in Immune Cell Functions. Front. Immunol. 2019, 10, 90, DOI: 10.3389/fimmu.2019.0009013The role of glycosphingolipids in immune cell functionsZhang, Tao; de Waard, Antonius A.; Wuhrer, Manfred; Spaapen, Robbert M.Frontiers in Immunology (2019), 10 (), 90CODEN: FIRMCW; ISSN:1664-3224. (Frontiers Media S.A.)A review. Glycosphingolipids (GSLs) exhibit a variety of functions in cellular differentiation and interaction. Also, they are known to play a role as receptors in pathogen invasion. A less well-explored feature is the role of GSLs in immune cell function which is the subject of this review article. Here we summarize knowledge on GSL expression patterns in different immune cells. We review the changes in GSL expression during immune cell development and differentiation, maturation, and activation. Furthermore, we review how immune cell GSLs impact membrane organization, mol. signaling, and trans-interactions in cellular cross-talk. Another aspect covered is the role of GSLs as targets of antibody-based immunity in cancer. We expect that recent advances in anal. and genome editing technologies will help in the coming years to further our knowledge on the role of GSLs as modulators of immune cell function.
- 14Tuosto, L.; Parolini, I.; Schröder, S.; Sargiacomo, M.; Lanzavecchia, A.; Viola, A. Organization of plasma membrane functional rafts upon T cell activation. Eur. J. Immunol. 2001, 31, 345– 349, DOI: 10.1002/1521-4141(200102)31:2<345::AID-IMMU345>3.0.CO;2-LThere is no corresponding record for this reference.
- 15Tagami, S.; Inokuchi, J. i.; Kabayama, K.; Yoshimura, H.; Kitamura, F.; Uemura, S.; Ogawa, C.; Ishii, A.; Saito, M.; Ohtsuka, Y.; Sakaue, S.; Igarashi, Y. Ganglioside GM3 participates in the pathological conditions of insulin resistance. Biol. Chem. 2002, 277, 3085– 3092, DOI: 10.1074/jbc.m103705200There is no corresponding record for this reference.
- 16Kabayama, K.; Sato, T.; Saito, K.; Loberto, N.; Prinetti, A.; Sonnino, S.; Kinjo, M.; Igarashi, Y.; Inokuchi, J. Dissociation of the insulin receptor and caveolin-1 complex by ganglioside GM3 in the state of insulin resistance. Proc. Natl. Acad. Sci. U.S.A. 2007, 104, 13678– 13683, DOI: 10.1073/pnas.070365010416Dissociation of the insulin receptor and caveolin-1 complex by ganglioside GM3 in the state of insulin resistanceKabayama, Kazuya; Sato, Takashige; Saito, Kumiko; Loberto, Nicoletta; Prinetti, Alessandro; Sonnino, Sandro; Kinjo, Masataka; Igarashi, Yasuyuki; Inokuchi, Jin-ichiProceedings of the National Academy of Sciences of the United States of America (2007), 104 (34), 13678-13683CODEN: PNASA6; ISSN:0027-8424. (National Academy of Sciences)Membrane microdomains (lipid rafts) are now recognized as crit. for proper compartmentalization of insulin signaling. We previously demonstrated that, in adipocytes in a state of TNFα-induced insulin resistance, the inhibition of insulin metabolic signaling and the elimination of insulin receptors (IR) from the caveolae microdomains were assocd. with an accumulation of the ganglioside GM3. To gain insight into mol. mechanisms behind interactions of IR, caveolin-1 (Cav1), and GM3 in adipocytes, we have performed immunopptns., crosslinking studies of IR and GM3, and live cell studies using total internal reflection fluorescence microscopy and fluorescence recovery after photobleaching techniques. We found that (i) IR form complexes with Cav1 and GM3 independently; (i) in GM3-enriched membranes the mobility of IR is increased by dissocn. of the IR-Cav1 interaction; and (ii,) the lysine residue localized just above the transmembrane domain of the IR 3-subunit is essential for the interaction of IR with GM3. Because insulin metabolic signal transduction in adipocytes is known to be critically dependent on caveolae, we propose a pathol. feature of insulin resistance in adipocytes caused by dissocn. of the IR-Cav1 complex by the interactions of IR with GM3 in microdomains.
- 17Barrientos, R. C.; Zhang, Q. Recent advances in the mass spectrometric analysis of glycosphingolipidome - A review. Anal. Chim. Acta 2020, 1132, 134– 155, DOI: 10.1016/j.aca.2020.05.05117Recent advances in the mass spectrometric analysis of glycosphingolipidome - A reviewBarrientos, Rodell C.; Zhang, QibinAnalytica Chimica Acta (2020), 1132 (), 134-155CODEN: ACACAM; ISSN:0003-2670. (Elsevier B.V.)A review. Aberrant expression of glycosphingolipids has been implicated in a myriad of diseases, but the authors' understanding of the strucural diversity, spatial distribution, and biol. function of this class of biomols. remains limited. These challenges partly stem from a lack of sensitive tools that can detect, identify, and quantify glycosphingolipids at the mol. level. Mass spectrometry has emerged as a powerful tool poised to address most of these challenges. Here, the authors review the recent developments in anal. glycosphingolipidomics with an emphasis on sample prepn., mass spectrometry and tandem mass spectrometry-based structural characterization, label-free and labeling-based quantification. The authors also discuss the nomenclature of glycosphingolipids, and emerging technologies like ion mobility spectrometry in differentiation of glycosphingolipid isomers. The intrinsic advantages and shortcomings of each method are carefully critiqued in line with an individual's research goals. Finally, future perspectives on anal. sphingolipidomics are stated, including a need for novel and more sensive methods in isomer sepn., low abundance species detection, and profiling the spatial distribution of glycosphingolipid mol. species in cells and tissues using imaging mass spectrometry.
- 18Hořejší, K.; Jirásko, R.; Chocholoušková, M.; Wolrab, D.; Kahoun, D.; Holčapek, M. Comprehensive Identification of Glycosphingolipids in Human Plasma Using Hydrophilic Interaction Liquid Chromatography-Electrospray Ionization Mass Spectrometry. Metabolites 2021, 11, 140, DOI: 10.3390/metabo11030140There is no corresponding record for this reference.
- 19Grevelding, C. G. Genomic instability in Schistosoma mansoni. Mol. Biochem. Parasitol. 1999, 101, 207– 216, DOI: 10.1016/S0166-6851(99)00078-XThere is no corresponding record for this reference.
- 20Roderfeld, M.; Padem, S.; Lichtenberger, J.; Quack, T.; Weiskirchen, R.; Longerich, T.; Schramm, G.; Churin, Y.; Irungbam, K.; Tschuschner, A.; Windhorst, A.; Grevelding, C. G.; Roeb, E. Schistosoma mansoni Egg-Secreted Antigens Activate Hepatocellular Carcinoma-Associated Transcription Factors c-Jun and STAT3 in Hamster and Human Hepatocytes. Hepatology 2020, 72, 626– 641, DOI: 10.1002/hep.30192There is no corresponding record for this reference.
- 21Weglage, J.; Wolters, F.; Hehr, L.; Lichtenberger, J.; Wulz, C.; Hempel, F.; Baier, A.; Quack, T.; Köhler, K.; Longerich, T.; Schramm, G.; Irungbam, K.; Mueller, H.; von Buelow, V.; Tschuschner, A.; Odenthal, M.; Drebber, U.; Arousy, M. E.; Ramalho, L. N. Z.; Bankov, K.; Wild, P.; Pons-Kühnemann, J.; Tschammer, J.; Grevelding, C. G.; Roeb, E.; Roderfeld, M. Schistosoma mansoni eggs induce Wnt/β-catenin signaling and activate the protooncogene c-Jun in human and hamster colon. Sci. Rep. 2020, 10, 22373, DOI: 10.1038/s41598-020-79450-4There is no corresponding record for this reference.
- 22Kompauer, M.; Heiles, S.; Spengler, B. Autofocusing MALDI mass spectrometry imaging of tissue sections and 3D chemical topography of nonflat surfaces. Nat. Methods 2017, 14, 1156– 1158, DOI: 10.1038/nmeth.443322Autofocusing MALDI mass spectrometry imaging of tissue sections and 3D chemical topography of nonflat surfacesKompauer, Mario; Heiles, Sven; Spengler, BernhardNature Methods (2017), 14 (12), 1156-1158CODEN: NMAEA3; ISSN:1548-7091. (Nature Research)We describe an atm. pressure matrix-assisted laser desorption-ionization mass spectrometry imaging system that uses long-distance laser triangulation on a micrometer scale to simultaneously obtain topog. and mol. information from 3D surfaces. We studied the topog. distribution of compds. on irregular 3D surfaces of plants and parasites, and we imaged nonplanar tissue sections with high lateral resoln., thereby eliminating height-related signal artifacts.
- 23Paschke, C.; Leisner, A.; Hester, A.; Maass, K.; Guenther, S.; Bouschen, W.; Spengler, B. Mirion–a software package for automatic processing of mass spectrometric images. J. Am. Soc. Mass Spectrom. 2013, 24, 1296– 1306, DOI: 10.1007/s13361-013-0667-023Mirion--A Software Package for Automatic Processing of Mass Spectrometric ImagesPaschke, C.; Leisner, A.; Hester, A.; Maass, K.; Guenther, S.; Bouschen, W.; Spengler, B.Journal of the American Society for Mass Spectrometry (2013), 24 (8), 1296-1306CODEN: JAMSEF; ISSN:1044-0305. (Springer)Mass spectrometric imaging (MSI) techniques are of growing interest for the Life Sciences. In recent years, the development of new instruments employing ion sources that are tailored for spatial scanning allowed the acquisition of large data sets. A subsequent data processing, however, is still a bottleneck in the anal. process, as a manual data interpretation is impossible within a reasonable time frame. The transformation of mass spectrometric data into spatial distribution images of detected compds. turned out to be the most appropriate method to visualize the results of such scans, as humans are able to interpret images faster and easier than plain nos. Image generation, thus, is a time-consuming and complex yet very efficient task. The free software package "Mirion," presented allows the handling and anal. of data sets acquired by mass spectrometry imaging. Mirion can be used for image processing of MSI data obtained from many different sources, as it uses the HUPO-PSI-based std. data format imzML, which is implemented in the proprietary software of most of the mass spectrometer companies. Different graphical representations of the recorded data are available. Furthermore, automatic calcn. and overlay of mass spectrometric images promotes direct comparison of different analytes for data evaluation. The program also includes tools for image processing and image anal.
- 24Vajn, K.; Viljetić, B.; Degmečić, I. V.; Schnaar, R. L.; Heffer, M. Differential distribution of major brain gangliosides in the adult mouse central nervous system. PLoS One 2013, 8, e75720 DOI: 10.1371/journal.pone.007572024Differential distribution of major brain gangliosides in the adult mouse central nervous systemVajn, Katarina; Viljetic, Barbara; Degmecic, Ivan Veceslav; Schnaar, Ronald L.; Heffer, MarijaPLoS One (2013), 8 (9), e75720CODEN: POLNCL; ISSN:1932-6203. (Public Library of Science)Gangliosides - sialic acid-bearing glycolipids - are major cell surface determinants on neurons and axons. The same four closely related structures, GM1, GD1a, GD1b and GT1b, comprise the majority of total brain gangliosides in mammals and birds. Gangliosides regulate the activities of proteins in the membranes in which they reside, and also act as cell-cell recognition receptors. Understanding the functions of major brain gangliosides requires knowledge of their tissue distribution, which has been accomplished in the past using biochem. and immunohistochem. methods. Armed with new knowledge about the stability and accessibility of gangliosides in tissues and new IgG-class specific monoclonal antibodies, we investigated the detailed tissue distribution of gangliosides in the adult mouse brain. Gangliosides GD1b and GT1b are widely expressed in gray and white matter. In contrast, GM1 is predominately found in white matter and GD1a is specifically expressed in certain brain nuclei/tracts. These findings are considered in relationship to the hypothesis that gangliosides GD1a and GT1b act as receptors for an important axon-myelin recognition protein, myelin-assocd. glycoprotein (MAG). Mediating axon-myelin interactions is but one potential function of the major brain gangliosides, and more detailed knowledge of their distribution may help direct future functional studies.
- 25Vens-Cappell, S.; Kouzel, I. U.; Kettling, H.; Soltwisch, J.; Bauwens, A.; Porubsky, S.; Müthing, J.; Dreisewerd, K. On-Tissue Phospholipase C Digestion for Enhanced MALDI-MS Imaging of Neutral Glycosphingolipids. Anal. Chem. 2016, 88, 5595– 5599, DOI: 10.1021/acs.analchem.6b0108425On-Tissue Phospholipase C Digestion for Enhanced MALDI-MS Imaging of Neutral GlycosphingolipidsVens-Cappell, Simeon; Kouzel, Ivan U.; Kettling, Hans; Soltwisch, Jens; Bauwens, Andreas; Porubsky, Stefan; Muething, Johannes; Dreisewerd, KlausAnalytical Chemistry (Washington, DC, United States) (2016), 88 (11), 5595-5599CODEN: ANCHAM; ISSN:0003-2700. (American Chemical Society)Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) can be used to simultaneously visualize the lateral distribution of different lipid classes in tissue sections, but the applicability of the method to real-life samples is often limited by ion suppression effects. In particular, the presence of abundant phosphatidylcholines (PCs) can reduce the ion yields for all other lipid species in pos. ion mode measurements. Here, we used on-tissue treatment with buffer-free phospholipase C (PLC) to near-quant. degrade PCs in fresh-frozen tissue sections. The ion signal intensities of mono-, di-, and oligohexosylceramides were enhanced by up to 10-fold. In addn., visualization of Shiga toxin receptor globotriaosylceramide (Gb3Cer) in the kidneys of wild-type and α-galactosidase A-knockout (Fabry) mice was possible at about ten micrometer resoln. Importantly, the PLC treatment did not decrease the high lateral resoln. of the MS imaging anal.
- 26Kirsch, S.; Müthing, J.; Peter-Katalinić, J.; Bindila, L. On-line nano-HPLC/ESI QTOF MS monitoring of α2–3 and α2–6 sialylation in granulocyte glycosphingolipidome. Biol. Chem. 2009, 390, 657– 672, DOI: 10.1515/BC.2009.066There is no corresponding record for this reference.
- 27Katajamaa, M.; Miettinen, J.; Oresic, M. MZmine: toolbox for processing and visualization of mass spectrometry based molecular profile data. Bioinformatics 2006, 22, 634– 636, DOI: 10.1093/bioinformatics/btk03927MZmine: toolbox for processing and visualization of mass spectrometry based molecular profile dataKatajamaa, Mikko; Miettinen, Jarkko; Oresic, MatejBioinformatics (2006), 22 (5), 634-636CODEN: BOINFP; ISSN:1367-4803. (Oxford University Press)New addnl. methods are presented for processing and visualizing mass spectrometry based mol. profile data, implemented as part of the recently introduced MZmine software. They include new features and extensions such as support for mzXML data format, capability to perform batch processing for large no. of files, support for parallel processing, new methods for calcg. peak areas using post-alignment peak picking algorithm and implementation of Sammon's mapping and curvilinear distance anal. for data visualization and exploratory anal.
- 28Pluskal, T.; Castillo, S.; Villar-Briones, A.; Oresic, M. MZmine 2: modular framework for processing, visualizing, and analyzing mass spectrometry-based molecular profile data. BMC Bioinf. 2010, 11, 395, DOI: 10.1186/1471-2105-11-39528MZmine 2: modular framework for processing, visualizing, and analyzing mass spectrometry-based molecular profile dataPluskal Tomas; Castillo Sandra; Villar-Briones Alejandro; Oresic MatejBMC bioinformatics (2010), 11 (), 395 ISSN:.BACKGROUND: Mass spectrometry (MS) coupled with online separation methods is commonly applied for differential and quantitative profiling of biological samples in metabolomic as well as proteomic research. Such approaches are used for systems biology, functional genomics, and biomarker discovery, among others. An ongoing challenge of these molecular profiling approaches, however, is the development of better data processing methods. Here we introduce a new generation of a popular open-source data processing toolbox, MZmine 2. RESULTS: A key concept of the MZmine 2 software design is the strict separation of core functionality and data processing modules, with emphasis on easy usability and support for high-resolution spectra processing. Data processing modules take advantage of embedded visualization tools, allowing for immediate previews of parameter settings. Newly introduced functionality includes the identification of peaks using online databases, MSn data support, improved isotope pattern support, scatter plot visualization, and a new method for peak list alignment based on the random sample consensus (RANSAC) algorithm. The performance of the RANSAC alignment was evaluated using synthetic datasets as well as actual experimental data, and the results were compared to those obtained using other alignment algorithms. CONCLUSIONS: MZmine 2 is freely available under a GNU GPL license and can be obtained from the project website at: http://mzmine.sourceforge.net/. The current version of MZmine 2 is suitable for processing large batches of data and has been applied to both targeted and non-targeted metabolomic analyses.
- 29Tyanova, S.; Temu, T.; Sinitcyn, P.; Carlson, A.; Hein, M. Y.; Geiger, T.; Mann, M.; Cox, J. The Perseus computational platform for comprehensive analysis of (prote)omics data. Nat. Methods 2016, 13, 731– 740, DOI: 10.1038/nmeth.390129The Perseus computational platform for comprehensive analysis of (prote)omics dataTyanova, Stefka; Temu, Tikira; Sinitcyn, Pavel; Carlson, Arthur; Hein, Marco Y.; Geiger, Tamar; Mann, Matthias; Cox, JuergenNature Methods (2016), 13 (9), 731-740CODEN: NMAEA3; ISSN:1548-7091. (Nature Publishing Group)A main bottleneck in proteomics is the downstream biol. anal. of highly multivariate quant. protein abundance data generated using mass-spectrometry-based anal. We developed the Perseus software platform (http://www.perseus-framework.org) to support biol. and biomedical researchers in interpreting protein quantification, interaction and post-translational modification data. Perseus contains a comprehensive portfolio of statistical tools for high-dimensional omics data anal. covering normalization, pattern recognition, time-series anal., cross-omics comparisons and multiple-hypothesis testing. A machine learning module supports the classification and validation of patient groups for diagnosis and prognosis, and it also detects predictive protein signatures. Central to Perseus is a user-friendly, interactive workflow environment that provides complete documentation of computational methods used in a publication. All activities in Perseus are realized as plugins, and users can extend the software by programming their own, which can be shared through a plugin store. We anticipate that Perseus's arsenal of algorithms and its intuitive usability will empower interdisciplinary anal. of complex large data sets.
- 30Fahy, E.; Subramaniam, S.; Brown, H. A.; Glass, C. K.; Merrill, A. H.; Murphy, R. C.; Raetz, C. R. H.; Russell, D. W.; Seyama, Y.; Shaw, W.; Shimizu, T.; Spener, F.; van Meer, G.; VanNieuwenhze, M. S.; White, S. H.; Witztum, J. L.; Dennis, E. A. A comprehensive classification system for lipids. J. Lipid Res. 2005, 46, 839– 861, DOI: 10.1194/jlr.E400004-JLR20030A comprehensive classification system for lipidsFahy, Eoin; Subramaniam, Shankar; Brown, H. Alex; Glass, Christopher K.; Merrill, Alfred H., Jr.; Murphy, Robert C.; Raetz, Christian R. H.; Russell, David W.; Seyama, Yousuke; Shaw, Walter; Shimizu, Takao; Spener, Friedrich; van Meer, Gerrit; VanNieuwenhze, Michael S.; White, Stephen H.; Witztum, Joseph L.; Dennis, Edward A.Journal of Lipid Research (2005), 46 (5), 839-861CODEN: JLPRAW; ISSN:0022-2275. (American Society for Biochemistry and Molecular Biology, Inc.)Lipids are produced, transported, and recognized by the concerted actions of numerous enzymes, binding proteins, and receptors. A comprehensive anal. of lipid mols., "lipidomics," in the context of genomics and proteomics is crucial to understanding cellular physiol. and pathol.; consequently, lipid biol. has become a major research target of the postgenomic revolution and systems biol. To facilitate international communication about lipids, a comprehensive classification of lipids with a common platform that is compatible with informatics requirements has been developed to deal with the massive amts. of data that will be generated by the lipid community. As an initial step in this development, the authors divide lipids into 8 categories (fatty acyls, glycerolipids, glycerophospholipids, sphingolipids, sterol lipids, prenol lipids, saccharolipids, and polyketides) contg. distinct classes and subclasses of mols., devise a common manner of representing the chem. structures of individual lipids and their derivs., and provide a 12 digit identifier for each unique lipid mol. The lipid classification scheme is chem. based and driven by the distinct hydrophobic and hydrophilic elements that compose the lipid. This structured vocabulary will facilitate the systematization of lipid biol. and enable the cataloging of lipids and their properties in a way that is compatible with other macromol. databases.
- 31Liebisch, G.; Fahy, E.; Aoki, J.; Dennis, E. A.; Durand, T.; Ejsing, C. S.; Fedorova, M.; Feussner, I.; Griffiths, W. J.; Köfeler, H.; Merrill, A. H.; Murphy, R. C.; O’Donnell, V. B.; Oskolkova, O.; Subramaniam, S.; Wakelam, M. J. O.; Spener, F. Update on LIPID MAPS classification, nomenclature, and shorthand notation for MS-derived lipid structures. J. Lipid Res. 2020, 61, 1539– 1555, DOI: 10.1194/jlr.S12000102531Update on LIPID MAPS classification, nomenclature, and shorthand notation for MS-derived lipid structuresLiebisch, Gerhard; Fahy, Eoin; Aoki, Junken; Dennis, Edward A.; Durand, Thierry; Ejsing, Christer S.; Fedorova, Maria; Feussner, Ivo; Griffiths, William J.; Koefeler, Harald; Merrill, Alfred H., Jr.; Murphy, Robert C.; O'Donnell, Valerie B.; Oskolkova, Olga; Subramaniam, Shankar; Wakelam, Michael J. O.; Spener, FriedrichJournal of Lipid Research (2020), 61 (12), 1539-1555CODEN: JLPRAW; ISSN:0022-2275. (American Society for Biochemistry and Molecular Biology)A comprehensive and standardized system to report lipid structures analyzed by MS is essential for the communication and storage of lipidomics data. Herein, an update on both the LIPID MAPS classification system and shorthand notation of lipid structures is presented for lipid categories Fatty Acyls (FA), Glycerolipids (GL), Glycerophospholipids (GP), Sphingolipids (SP), and Sterols (ST). With its major changes, i.e., annotation of ring double bond equiv. and no. of oxygens, the updated shorthand notation facilitates reporting of newly delineated oxygenated lipid species as well. For standardized reporting in lipidomics, the hierarchical architecture of shorthand notation reflects the diverse structural resoln. powers provided by mass spectrometric assays. Moreover, shorthand notation is expanded beyond mammalian phyla to lipids from plant and yeast phyla. Finally, annotation of atoms is included for the use of stable isotope-labeled compds. in metabolic labeling expts. or as internal stds. This update on lipid classification, nomenclature, and shorthand annotation for lipid mass spectra is considered a std. for lipid data presentation.
- 32Varki, A.; Cummings, R. D.; Aebi, M.; Packer, N. H.; Seeberger, P. H.; Esko, J. D.; Stanley, P.; Hart, G.; Darvill, A.; Kinoshita, T.; Prestegard, J. J.; Schnaar, R. L.; Freeze, H. H.; Marth, J. D.; Bertozzi, C. R.; Etzler, M. E.; Frank, M.; Vliegenthart, J. F.; Lütteke, T.; Perez, S.; Bolton, E.; Rudd, P.; Paulson, J.; Kanehisa, M.; Toukach, P.; Aoki-Kinoshita, K. F.; Dell, A.; Narimatsu, H.; York, W.; Taniguchi, N.; Kornfeld, S. Symbol Nomenclature for Graphical Representations of Glycans. Glycobiology 2015, 25, 1323– 1324, DOI: 10.1093/glycob/cwv09132Symbol nomenclature for graphical representations of glycansVarki, Ajit; Cummings, Richard D.; Aebi, Markus; Packer, Nicole H.; Seeberger, Peter H.; Esko, Jeffrey D.; Stanley, Pamela; Hart, Gerald; Darvill, Alan; Kinoshita, Taroh; Prestegard, James J.; Schnaar, Ronald L.; Freeze, Hudson H.; Marth, Jamey D.; Bertozzi, Carolyn R.; Etzler, Marilynn E.; Frank, Martin; Vliegenthart, Johannes F. G.; Lutteke, Thomas; Perez, Serge; Bolton, Evan; Rudd, Pauline; Paulson, James; Kanehisa, Minoru; Toukach, Philip; Aoki-Kinoshita, Kiyoko F.; Dell, Anne; Narimatsu, Hisashi; York, William; Taniguchi, Naoyuki; Kornfeld, StuartGlycobiology (2015), 25 (12), 1323-1324CODEN: GLYCE3; ISSN:0959-6658. (Oxford University Press)Symbol nomenclature for graphical representations of glycans.
- 33Domon, B.; Costello, C. E. A systematic nomenclature for carbohydrate fragmentations in FAB-MS/MS spectra of glycoconjugates. Glycoconjugate J. 1988, 5, 397– 409, DOI: 10.1007/BF0104991533A systematic nomenclature for carbohydrate fragmentations in FAB-MS/MS spectra of glycoconjugatesDomon, Bruno; Costello, Catherine E.Glycoconjugate Journal (1988), 5 (4), 397-409CODEN: GLJOEW; ISSN:0282-0080.A summary of the ion types obsd. in the fast-atom-bombardment mass spectrometry (FAB-MS) and collision induced decompn. (CID) MS/MS spectra of glycoconjugates (glycosphingolipids, glycopeptides, glycosides, and carbohydrates) is presented. The variety of product ion types that arise by cleavages within the carbohydrate moieties has prompted the introduction of a systemic nomenclature to designate these ions. The proposed nomenclature has been developed primarily for FAB-MS, but can be used as well for other ionization techniques [field desorption (FD), direct chem. ionization (DCI), laser desorption/Fourier transform (LD/FT), etc.], and is applicable to spectra recorded in either the pos. or neg. ion mode during both MS and MS/MS expts. Ai, Bi, and Ci labels are used to designate fragments contg. a terminal (non-reducing end) sugar unit, whereas Xj, Yj, and Zj represent ions still contg. the aglycon (or the reducing sugar unit). Subscripts indicate the position relative to the termini analogous to the system used in peptides, and superscripts indicate cleavages within carbohydrate rings.
- 34Merrill, A. H.; Sullards, M. C.; Allegood, J. C.; Kelly, S.; Wang, E. Sphingolipidomics: high-throughput, structure-specific, and quantitative analysis of sphingolipids by liquid chromatography tandem mass spectrometry. Methods 2005, 36, 207– 224, DOI: 10.1016/j.ymeth.2005.01.00934Sphingolipidomics: High-throughput, structure-specific, and quantitative analysis of sphingolipids by liquid chromatography tandem mass spectrometryMerrill, Alfred H., Jr.; Sullards, M. Cameron; Allegood, Jeremy C.; Kelly, Samuel; Wang, ElaineMethods (San Diego, CA, United States) (2005), 36 (2), 207-224CODEN: MTHDE9; ISSN:1046-2023. (Elsevier)A review. Sphingolipids are a highly diverse category of compds. that serve not only as components of biol. structures but also as regulators of numerous cell functions. Because so many of the sphingolipids in a biol. system are bioactive and are often closely related structurally and metabolically (for example, complex sphingolipids <--> ceramide <--> sphingosine <--> sphingosine 1-phosphate), to understand the role(s) of sphingolipids in a given context one must conduct a "sphingolipidomic" anal. - i.e., a structure-specific and quant. measurement of all of these compds., or at least all members of a crit. subset. Liq. chromatog. tandem mass spectrometry (LC MS/MS) is currently the only technol. with the requisite structural specificity, sensitivity, quant. precision, and relatively high-throughput capabilities for such analyses in small samples (∼106 cells). This review describes a series of protocols that have been developed for the relatively rapid anal. of all of the mol. species from 3-ketosphinganines through sphingomyelins and some glycosphingolipids (including all the compds. that are presently regarded as sphingolipid "second messengers") using normal- and reverse-phase LC to sep. isometric and isobaric species (such as glucosylceramides and galactosylceramides) in combination with triple quadrupole (for MS/MS) and hybrid quadrupole-ion trap (for MS3) mass spectrometry. Also discussed are some of the issues remaining to be resolved in the anal. of the full sphingolipidome.
- 35Smit, C. H.; van Diepen, A.; Nguyen, D. L.; Wuhrer, M.; Hoffmann, K. F.; Deelder, A. M.; Hokke, C. H. Glycomic Analysis of Life Stages of the Human Parasite Schistosoma mansoni Reveals Developmental Expression Profiles of Functional and Antigenic Glycan Motifs. Mol. Cell. Proteomics 2015, 14, 1750– 1769, DOI: 10.1074/mcp.M115.048280There is no corresponding record for this reference.
- 36Danne-Rasche, N.; Coman, C.; Ahrends, R. Nano-LC/NSI MS Refines Lipidomics by Enhancing Lipid Coverage, Measurement Sensitivity, and Linear Dynamic Range. Anal. Chem. 2018, 90, 8093– 8101, DOI: 10.1021/acs.analchem.8b0127536Nano-LC/NSI MS Refines Lipidomics by Enhancing Lipid Coverage, Measurement Sensitivity, and Linear Dynamic RangeDanne-Rasche, Niklas; Coman, Cristina; Ahrends, RobertAnalytical Chemistry (Washington, DC, United States) (2018), 90 (13), 8093-8101CODEN: ANCHAM; ISSN:0003-2700. (American Chemical Society)Nano-liq. chromatog. (nLC)-nanoelectrospray (NSI) is one of the cornerstones of mass-spectrometry-based bioanalytics. Nevertheless, the application of nLC is not yet prevalent in lipid analyses. In this study, the authors established a reproducible nLC sepn. for global lipidomics and describe the merits of using such a miniaturized system for lipid analyses. In order to enable comprehensive lipid analyses that is not restricted to specific lipid classes, the authors particularly optimized sample prepn. conditions and reversed-phase sepn. parameters. The authors further benchmarked the developed nLC system to a commonly used high flow HPLC/ESI MS system in terms of lipidome coverage and sensitivity. The comparison revealed an intensity gain between 2 and 3 orders of magnitude for individual lipid classes and an increase in the linear dynamic range of up to 2 orders of magnitude. Furthermore, the anal. of the yeast lipidome using nLC/NSI resulted in more than a 3-fold gain in lipid identifications. All in all, the authors identified 447 lipids from the core phospholipid lipid classes (PA, PE, PC, PS, PG, and PI) in Saccharomyces cerevisiae.
- 37Hams, E.; Aviello, G.; Fallon, P. G. The schistosoma granuloma: friend or foe?. Front. Immunol. 2013, 4, 89, DOI: 10.3389/fimmu.2013.0008937The schistosoma granuloma: friend or foe?Hams Emily; Aviello Gabriella; Fallon Padraic GFrontiers in immunology (2013), 4 (), 89 ISSN:.Infection of man with Schistosoma species of trematode parasite causes marked chronic morbidity. Individuals that become infected with Schistosomes may develop a spectrum of pathology ranging from mild cercarial dermatitis to severe tissue inflammation, in particular within the liver and intestines, which can lead to life threatening hepatosplenomegaly. It is well established that the etiopathology during schistosomiasis is primarily due to an excessive or unregulated inflammatory response to the parasite, in particular to eggs that become trapped in various tissue. The eggs forms the foci of a classical type 2 granulomatous inflammation, characterized by an eosinophil-rich, CD4(+) T helper (Th) 2 cell dominated infiltrate with additional infiltration of alternatively activated macrophages (M2). Indeed the sequela of the type 2 perioval granuloma is marked fibroblast infiltration and development of fibrosis. Paradoxically, while the granuloma is the cause of pathology it also can afford some protection, whereby the granuloma minimizes collateral tissue damage in the liver and intestines. Furthermore, the parasite is exquisitely reliant on the host to mount a granulomatous reaction to the eggs as this inflammatory response facilitates the successful excretion of the eggs from the host. In this focused review we will address the conundrum of the S. mansoni granuloma acting as both friend and foe in inflammation during infection.
- 38Llanwarne, F.; Helmby, H. Granuloma formation and tissue pathology in Schistosoma japonicum versus Schistosoma mansoni infections. Parasite Immunol. 2021, 43, e12778 DOI: 10.1111/pim.12778There is no corresponding record for this reference.
- 39Moné, H.; Boissier, J. Sexual biology of schistosomes. J. Adv. Parasitol. 2004, 57, 89– 189, DOI: 10.1016/S0065-308X(04)57002-1There is no corresponding record for this reference.
- 40Shaw, M. K. Schistosoma mansoni: vitelline gland development in females from single sex infections. J. Helminthol. 1987, 61, 253– 259, DOI: 10.1017/S0022149X00010117There is no corresponding record for this reference.
- 41Skelly, P. J.; Da’dara, A. A.; Li, X.-H.; Castro-Borges, W.; Wilson, R. A. Schistosome Feeding and Regurgitation. PLoS Pathog. 2014, 10 (8), e1004246 DOI: 10.1371/journal.ppat.1004246There is no corresponding record for this reference.
- 42Hayasaka, T.; Goto-Inoue, N.; Masaki, N.; Ikegami, K.; Setou, M. Application of 2,5-dihydroxyacetophenone with sublimation provides efficient ionization of lipid species by atmospheric pressure matrix-assisted laser desorption/ionization imaging mass spectrometry. Surf. Interface Anal. 2014, 46, 1219– 1222, DOI: 10.1002/sia.559242Application of 2,5-dihydroxyacetophenone with sublimation provides efficient ionization of lipid species by atmospheric pressure matrix-assisted laser desorption/ionization imaging mass spectrometryHayasaka, Takahiro; Goto-Inoue, Naoko; Masaki, Noritaka; Ikegami, Koji; Setou, MitsutoshiSurface and Interface Analysis (2014), 46 (12-13), 1219-1222CODEN: SIANDQ; ISSN:0142-2421. (John Wiley & Sons Ltd.)Imaging mass spectrometry (IMS) is a powerful tool for detecting and visualizing biomols. in tissue sections. Most IMS instruments are equipped with a high-vacuum chamber for matrix-assisted laser desorption/ionization (MALDI). However, the use of high-vacuum conditions restricts the usage of the matrix to less-volatile substances. We recently developed an atm. pressure MALDI instrument, named the 'mass microscope', to avoid this problem. The atm. pressure condition enables us to use volatile matrixes. In this study, we compared the reliability of a volatile matrix, 2,5-dihydroxyacetophenone (DHAP) with that of a conventionally used matrix, 2,5-dihydroxybenzoic acid (DHB). Compared with the results obtained with DHB, the mass spectra obtained with DHAP showed a variety of signal species in a mass region corresponding to phospholipid species in both the pos. and neg. ion modes without any matrix-derived signals. DHAP provided highly strong signals of ganglioside (GM1) species. We also compared two matrix deposition techniques for DHAP matrix: sublimation and spraying. We found that the sublimation method for applying DHAP matrix on a tissue surface can maintain ion images of lipid species, including ganglioside species only in a tissue. In contrast, the spraying method led the diffusion of GM1 species toward the outside of the tissue sections. Consequently, the sublimation method for applications of DHAP is adequate to analyze some types of lipid species including GM1 in atm. pressure MALDI IMS. Copyright © 2014 John Wiley & Sons, Ltd.
- 43Jackson, S. N.; Muller, L.; Roux, A.; Oktem, B.; Moskovets, E.; Doroshenko, V. M.; Woods, A. S. AP-MALDI Mass Spectrometry Imaging of Gangliosides Using 2,6-Dihydroxyacetophenone. J. Am. Soc. Mass Spectrom. 2018, 29, 1463– 1472, DOI: 10.1007/s13361-018-1928-843AP-MALDI Mass Spectrometry Imaging of Gangliosides Using 2,6-DihydroxyacetophenoneJackson, Shelley N.; Muller, Ludovic; Roux, Aurelie; Oktem, Berk; Moskovets, Eugene; Doroshenko, Vladimir M.; Woods, Amina S.Journal of the American Society for Mass Spectrometry (2018), 29 (7), 1463-1472CODEN: JAMSEF; ISSN:1044-0305. (Springer)Matrix-assisted laser/desorption ionization (MALDI) mass spectrometry imaging (MSI) is widely used as a unique tool to record the distribution of a large range of biomols. in tissues. 2,6-Dihydroxyacetophenone (DHA) matrix has been shown to provide efficient ionization of lipids, esp. gangliosides. The major drawback for DHA as it applies to MS imaging is that it sublimes under vacuum (low pressure) at the extended time necessary to complete both high spatial and mass resoln. MSI studies of whole organs. To overcome the problem of sublimation, the authors used an atm. pressure (AP)-MALDI source to obtain high spatial resoln. images of lipids in the brain using a high mass resoln. mass spectrometer. Addnl., the advantages of atm. pressure and DHA for imaging gangliosides are highlighted. The imaging of [M-H]- and [M-H2O-H]- mass peaks for GD1 gangliosides showed different distribution, most likely reflecting the different spatial distribution of GD1a and GD1b species in the brain.
- 44Amaral, K. B.; Silva, T. P.; Dias, F. F.; Malta, K. K.; Rosa, F. M.; Costa-Neto, S. F.; Gentile, R.; Melo, R. C. N. Histological assessment of granulomas in natural and experimental Schistosoma mansoni infections using whole slide imaging. PLoS One 2017, 12, e0184696 DOI: 10.1371/journal.pone.0184696There is no corresponding record for this reference.
- 45Malta, K. K.; Silva, T. P.; Palazzi, C.; Neves, V. H.; Carmo, L. A. S.; Cardoso, S. J.; Melo, R. C. N. Changing our view of the Schistosoma granuloma to an ecological standpoint. Biol. Rev. Cambridge Philos. Soc. 2021, 96, 1404– 1420, DOI: 10.1111/brv.12708There is no corresponding record for this reference.
- 46Kawanishi, K.; Dhar, C.; Do, R.; Varki, N.; Gordts, P. L. S. M.; Varki, A. Human species-specific loss of CMP- N-acetylneuraminic acid hydroxylase enhances atherosclerosis via intrinsic and extrinsic mechanisms. Proc. Natl. Acad. Sci. U.S.A. 2019, 116, 16036– 16045, DOI: 10.1073/pnas.1902902116There is no corresponding record for this reference.
- 47Structure and Function of Gangliosides. Advances in Experimental Medicine and Biology; Svennerholm, L., Mandel, P., Dreyfus, H., Urban, P.-F., Eds; Springer: Boston, MA, 1980.There is no corresponding record for this reference.
- 48Zhang, Y.; Wang, J.; Liu, J.; Han, J.; Xiong, S.; Yong, W.; Zhao, Z. Combination of ESI and MALDI mass spectrometry for qualitative, semi-quantitative and in situ analysis of gangliosides in brain. Sci. Rep. 2016, 6, 25289, DOI: 10.1038/srep2528948Combination of ESI and MALDI mass spectrometry for qualitative, semi-quantitative and in situ analysis of gangliosides in brainZhang, Yangyang; Wang, Jun; Liu, Jian'an; Han, Juanjuan; Xiong, Shaoxiang; Yong, Weidong; Zhao, ZhenwenScientific Reports (2016), 6 (), 25289CODEN: SRCEC3; ISSN:2045-2322. (Nature Publishing Group)Gangliosides are a family of complex lipids that are abundant in the brain. There is no doubt the investigations about the distribution of gangliosides in brian and the relationship between gangliosides and Alzheimer's disease is profound. However, these investigations are full of challenges due to the structural complexity of gangliosides. In this work, the method for efficient extn. and enrichment of gangliosides from brain was established. Moreover, the distribution of gangliosides in brain was obtained by matrix-assisted laser desorption ionization (MALDI) mass spectrometry imaging (MSI). It was found that 3-aminoquinoline (3-AQ) as matrix was well-suited for MALDI MS anal. of gangliosides in neg. ion mode. In addn., the pretreatment by ethanol (EtOH) cleaning brain section and the addn. of ammonium formate greatly improved the MS signal of gangliosides in the brain section when MALDI MSI anal. was employed. The distribution of ganliosides in cerebral cortex, hippocampus and cerebellum was resp. acquired by electrospray ionization (ESI) MS and MALDI MSI, and the data were compared for reliability evaluation of MALDI MSI. Further, applying MALDI MSI technol., the distribution of gangliosides in amyloid precursor protein transgenic mouse brain was obtained, which may provide a new insight for bioresearch of Alzheimer's disease (AD).
- 49Colsch, B.; Jackson, S. N.; Dutta, S.; Woods, A. S. Molecular Microscopy of Brain Gangliosides: Illustrating their Distribution in Hippocampal Cell Layers. ACS Chem. Neurosci. 2011, 2, 213– 222, DOI: 10.1021/cn100096h49Molecular Microscopy of Brain Gangliosides: Illustrating their Distribution in Hippocampal Cell LayersColsch, Benoit; Jackson, Shelley N.; Dutta, Sucharita; Woods, Amina S.ACS Chemical Neuroscience (2011), 2 (4), 213-222CODEN: ACNCDM; ISSN:1948-7193. (American Chemical Society)Gangliosides are amphiphilic mols. found in the outer layer of plasma membranes of all vertebrate cells. They play a major role in cell recognition and signaling and are involved in diseases affecting the central nervous system (CNS). We are reporting the differential distribution of ganglioside species in the rat brain's cerebrum, based on their ceramide assocd. core, and for the first time the presence of acetylation detected by matrix-assisted laser desorption/ionization (MALDI) mass spectrometry, which was used to map and image gangliosides with detailed structural information and histol. accuracy. In the hippocampus, localization of the major species GM1, GD1, O-acetylGD1, GT1, and O-acetylGT1 depends on the sphingoid base (d18:1 sphingosine or d20:1 eicosasphingosine) in the mol. layer of the dentate gyrus (ML), which is made up of three distinct layers, the inner mol. layer (IML), which contains sphingosine exclusively, and the middle mol. layer (MML) and the outer mol. layer (OML) where eicosasphingosine is the only sphingoid base. These results demonstrate that there is a different distribution of gangliosides in neuronal axons and dendrites depending on the ceramide core of each layer. GM3, GM2, GD3, and GD2 contain sphingosine predominantly and are mainly present in body cell layers, which are made up of the pyramidal cell layer (Py) and the granular layer of the dentate gyrus (GL), in contrast with GQ1 and the O-acetylated forms of GD1, GT1, and GQ1 gangliosides, which contain both sphingoid bases. However their distribution is based on the sialylated and acetylated oligosaccharide chains in the neuronal cell bodies.
Supporting Information
Supporting Information
The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acs.analchem.3c05846.
Additional experimental protocols, experimental parameters, data-processing steps, additional results for the matrix evaluation of DHAP compared to other matrices, sublimation setup, more ion images for neutral GSL of bs-infected hamsters, structures of a GSL and monosaccharide units, MS2 spectra of HexNac2Hex3Cer 18:1;O2/16:0 in negative-ion mode, H&E-stained section and the corresponding RGB-overlay of the liver of a bs-infected hamster, granuloma model for the PE- and EP-stages, IHC results compared to MALDI MSI results, and additional ion images for acidic GSL and an H&E-stained section and the corresponding RGB-overlay of the liver of bs-infected hamsters with three different distributions of GSLs within a granuloma (PDF)
Glycosphingolipid database (XLSX)
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