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Hasan MM, Mimi MA, Mamun MA, Islam A, Waliullah ASM, Nabi MM, Tamannaa Z, Kahyo T, Setou M. Mass Spectrometry Imaging for Glycome in the Brain. Front Neuroanat 2021; 15:711955. [PMID: 34393728 PMCID: PMC8358800 DOI: 10.3389/fnana.2021.711955] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2021] [Accepted: 07/07/2021] [Indexed: 12/12/2022] Open
Abstract
Glycans are diverse structured biomolecules that play crucial roles in various biological processes. Glycosylation, an enzymatic system through which various glycans are bound to proteins and lipids, is the most common and functionally crucial post-translational modification process. It is known to be associated with brain development, signal transduction, molecular trafficking, neurodegenerative disorders, psychopathologies, and brain cancers. Glycans in glycoproteins and glycolipids expressed in brain cells are involved in neuronal development, biological processes, and central nervous system maintenance. The composition and expression of glycans are known to change during those physiological processes. Therefore, imaging of glycans and the glycoconjugates in the brain regions has become a “hot” topic nowadays. Imaging techniques using lectins, antibodies, and chemical reporters are traditionally used for glycan detection. However, those techniques offer limited glycome detection. Mass spectrometry imaging (MSI) is an evolving field that combines mass spectrometry with histology allowing spatial and label-free visualization of molecules in the brain. In the last decades, several studies have employed MSI for glycome imaging in brain tissues. The current state of MSI uses on-tissue enzymatic digestion or chemical reaction to facilitate successful glycome imaging. Here, we reviewed the available literature that applied MSI techniques for glycome visualization and characterization in the brain. We also described the general methodologies for glycome MSI and discussed its potential use in the three-dimensional MSI in the brain.
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Affiliation(s)
- Md Mahmudul Hasan
- Department of Cellular & Molecular Anatomy, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Mst Afsana Mimi
- Department of Cellular & Molecular Anatomy, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Md Al Mamun
- Department of Cellular & Molecular Anatomy, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Ariful Islam
- Department of Cellular & Molecular Anatomy, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - A S M Waliullah
- Department of Cellular & Molecular Anatomy, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Md Mahamodun Nabi
- Department of Cellular & Molecular Anatomy, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Zinat Tamannaa
- Department of Cellular & Molecular Anatomy, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Tomoaki Kahyo
- Department of Cellular & Molecular Anatomy, Hamamatsu University School of Medicine, Hamamatsu, Japan.,International Mass Imaging Center, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Mitsutoshi Setou
- Department of Cellular & Molecular Anatomy, Hamamatsu University School of Medicine, Hamamatsu, Japan.,International Mass Imaging Center, Hamamatsu University School of Medicine, Hamamatsu, Japan.,Department of Systems Molecular Anatomy, Institute for Medical Photonics Research, Preeminent Medical Photonics Education & Research Center, Hamamatsu, Japan
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2
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Blutke A, Sun N, Xu Z, Buck A, Harrison L, Schriever SC, Pfluger PT, Wiles D, Kunzke T, Huber K, Schlegel J, Aichler M, Feuchtinger A, Matiasek K, Hauck SM, Walch A. Light sheet fluorescence microscopy guided MALDI-imaging mass spectrometry of cleared tissue samples. Sci Rep 2020; 10:14461. [PMID: 32879402 PMCID: PMC7468256 DOI: 10.1038/s41598-020-71465-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Accepted: 08/10/2020] [Indexed: 02/08/2023] Open
Abstract
Light sheet fluorescence microscopy (LSFM) of optically cleared biological samples represents a powerful tool to analyze the 3-dimensional morphology of tissues and organs. Multimodal combinations of LSFM with additional analyses of the identical sample help to limit the consumption of restricted specimen and reduce inter-sample variation. Here, we demonstrate the proof-of-concept that LSFM of cleared brain tissue samples can be combined with Matrix Assisted Laser Desorption/Ionization-Mass Spectrometry Imaging (MALDI-MSI) for detection and quantification of proteins. Samples of freshly dissected murine brain and of archived formalin-fixed paraffin-embedded (FFPE) human brain tissue were cleared (3DISCO). Tissue regions of interest were defined by LSFM and excised, (re)-embedded in paraffin, and sectioned. Mouse sections were coated with sinapinic acid matrix. Human brain sections were pre-digested with trypsin and coated with α-cyano-4-hydroxycinnamic acid matrix. Subsequently, sections were subjected to MALDI-time-of-flight (TOF)-MSI in mass ranges between 0.8 to 4 kDa (human tissue sections), or 2.5–25 kDa (mouse tissue sections) with a lateral resolution of 50 µm. Protein- and peptide-identities corresponding to acquired MALDI-MSI spectra were confirmed by parallel liquid chromatography tandem mass spectrometry (LC–MS/MS) analysis. The spatial abundance- and intensity-patterns of established marker proteins detected by MALDI-MSI were also confirmed by immunohistochemistry.
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Affiliation(s)
- Andreas Blutke
- Research Unit Analytical Pathology, Helmholtz Zentrum München, 8576, Neuherberg, Germany
| | - Na Sun
- Research Unit Analytical Pathology, Helmholtz Zentrum München, 8576, Neuherberg, Germany
| | - Zhihao Xu
- Research Unit Analytical Pathology, Helmholtz Zentrum München, 8576, Neuherberg, Germany
| | - Achim Buck
- Research Unit Analytical Pathology, Helmholtz Zentrum München, 8576, Neuherberg, Germany
| | - Luke Harrison
- Research Unit Neurobiology of Diabetes, Helmholtz Zentrum München, 85764, Neuherberg, Germany.,Institute for Diabetes and Obesity, Helmholtz Zentrum München, 85764, Neuherberg, Germany.,German Center for Diabetes Research (DZD), 85764, Neuherberg, Germany.,Division of Metabolic Diseases, Technische Universität München, 80333, Munich, Germany
| | - Sonja C Schriever
- Research Unit Neurobiology of Diabetes, Helmholtz Zentrum München, 85764, Neuherberg, Germany.,Institute for Diabetes and Obesity, Helmholtz Zentrum München, 85764, Neuherberg, Germany.,German Center for Diabetes Research (DZD), 85764, Neuherberg, Germany
| | - Paul T Pfluger
- Research Unit Neurobiology of Diabetes, Helmholtz Zentrum München, 85764, Neuherberg, Germany.,Institute for Diabetes and Obesity, Helmholtz Zentrum München, 85764, Neuherberg, Germany.,German Center for Diabetes Research (DZD), 85764, Neuherberg, Germany
| | | | - Thomas Kunzke
- Research Unit Analytical Pathology, Helmholtz Zentrum München, 8576, Neuherberg, Germany
| | - Katharina Huber
- Research Unit Analytical Pathology, Helmholtz Zentrum München, 8576, Neuherberg, Germany
| | - Jürgen Schlegel
- Institute for Pathology, Department of Neuropathology, Technische Universität München, 80333, Munich, Germany
| | - Michaela Aichler
- Research Unit Analytical Pathology, Helmholtz Zentrum München, 8576, Neuherberg, Germany
| | - Annette Feuchtinger
- Research Unit Analytical Pathology, Helmholtz Zentrum München, 8576, Neuherberg, Germany.
| | - Kaspar Matiasek
- Institute for Veterinary Pathology at the Centre for Clinical Veterinary Medicine, Ludwig-Maximilians-Universität München, 80539, Munich, Germany
| | - Stefanie M Hauck
- Research Unit for Protein Science, Helmholtz Zentrum München, 85764, Neuherberg, Germany
| | - Axel Walch
- Research Unit Analytical Pathology, Helmholtz Zentrum München, 8576, Neuherberg, Germany
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3
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Mass Spectrometry Imaging of atherosclerosis-affine Gadofluorine following Magnetic Resonance Imaging. Sci Rep 2020; 10:79. [PMID: 31919465 PMCID: PMC6952459 DOI: 10.1038/s41598-019-57075-6] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2019] [Accepted: 12/22/2019] [Indexed: 12/16/2022] Open
Abstract
Molecular imaging of atherosclerosis by Magnetic Resonance Imaging (MRI) has been impaired by a lack of validation of the specific substrate responsible for the molecular imaging signal. We therefore aimed to investigate the additive value of mass spectrometry imaging (MSI) of atherosclerosis-affine Gadofluorine P for molecular MRI of atherosclerotic plaques. Atherosclerotic Ldlr−/− mice were investigated by high-field MRI (7 T) at different time points following injection of atherosclerosis-affine Gadofluorine P as well as at different stages of atherosclerosis formation (4, 8, 16 and 20 weeks of HFD). At each imaging time point mice were immediately sacrificed after imaging and aortas were excised for mass spectrometry imaging: Matrix Assisted Laser Desorption Ionization (MALDI) Imaging and Laser Ablation – Inductively Coupled Plasma – Mass Spectrometry (LA-ICP-MS) imaging. Mass spectrometry imaging allowed to visualize the localization and measure the concentration of the MR imaging probe Gadofluorine P in plaque tissue ex vivo with high spatial resolution and thus adds novel and more target specific information to molecular MR imaging of atherosclerosis.
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4
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Mass Spectrometry Imaging of Lipids in Human Skin Disease Model Hidradenitis Suppurativa by Laser Desorption Ionization from Silicon Nanopost Arrays. Sci Rep 2019; 9:17508. [PMID: 31767918 PMCID: PMC6877612 DOI: 10.1038/s41598-019-53938-0] [Citation(s) in RCA: 23] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2019] [Accepted: 10/11/2019] [Indexed: 12/20/2022] Open
Abstract
Neutral lipids have been implicated in a host of potentially debilitating human diseases, such as heart disease, type-2 diabetes, and metabolic syndrome. Matrix-assisted laser desorption ionization (MALDI), the method-of-choice for mass spectrometry imaging (MSI), has led to remarkable success in imaging several lipid classes from biological tissue sections. However, due to ion suppression by phospholipids, MALDI has limited ability to efficiently ionize and image neutral lipids, such as triglycerides (TGs). To help overcome this obstacle, we have utilized silicon nanopost arrays (NAPA), a matrix-free laser desorption ionization (LDI) platform. Hidradenitis suppurativa (HS) is a chronic, recurrent inflammatory skin disease of the apocrine sweat glands. The ability of NAPA to efficiently ionize lipids is exploited in the analysis of human skin samples from sufferers of HS. Ionization by LDI from NAPA allows for the detection and imaging of a number of neutral lipid species, including TGs comprised of shorter, odd-chain fatty acids, which strongly suggests an increased bacterial load within the host tissue, as well as hexosylceramides (HexCers) and galabiosyl-/lactosylceramides that appear to be correlated with the presence of HS. Our results demonstrate that NAPA-LDI-MSI is capable of imaging and potentially differentiating healthy and diseased human skin tissues based on changes in detected neutral lipid composition.
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5
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Fincher JA, Dyer JE, Korte AR, Yadavilli S, Morris NJ, Vertes A. Matrix‐free mass spectrometry imaging of mouse brain tissue sections on silicon nanopost arrays. J Comp Neurol 2018; 527:2101-2121. [DOI: 10.1002/cne.24566] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2018] [Revised: 10/12/2018] [Accepted: 10/15/2018] [Indexed: 12/19/2022]
Affiliation(s)
- Jarod A. Fincher
- George Washington University Washington District of Columbia 20052
| | | | - Andrew R. Korte
- George Washington University Washington District of Columbia 20052
| | - Sridevi Yadavilli
- Research Center for Genetic Medicine Children's National Medical Center Washington District of Columbia 20010
| | | | - Akos Vertes
- George Washington University Washington District of Columbia 20052
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6
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Bartels B, Kulkarni P, Danz N, Böcker S, Saluz HP, Svatoš A. Mapping metabolites from rough terrain: laser ablation electrospray ionization on non-flat samples. RSC Adv 2017. [DOI: 10.1039/c6ra26854d] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
A laser ablation electrospray ionization (LAESI) source was custom-built to accommodate the topography of non-flat sample surfaces. Reproducible ablation mark diameters of 69 ± 7 μm in average have been achieved.
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Affiliation(s)
- Benjamin Bartels
- Research Group Mass Spectrometry/Proteomics
- Max Planck Institute for Chemical Ecology
- Jena
- Germany
| | - Purva Kulkarni
- Research Group Mass Spectrometry/Proteomics
- Max Planck Institute for Chemical Ecology
- Jena
- Germany
- Chair for Bioinformatics
| | - Norbert Danz
- Fraunhofer Institute for Applied Optics and Precision Engineering IOF
- D-07745 Jena
- Germany
| | - Sebastian Böcker
- Chair for Bioinformatics
- Friedrich Schiller University Jena
- Jena
- Germany
| | - Hans Peter Saluz
- Department Cell and Molecular Biology
- Leibniz Institute for Natural Product Research and Infection Biology
- Jena
- Germany
| | - Aleš Svatoš
- Research Group Mass Spectrometry/Proteomics
- Max Planck Institute for Chemical Ecology
- Jena
- Germany
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7
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Jadoul L, Smargiasso N, Pamelard F, Alberts D, Noël A, De Pauw E, Longuespée R. An Improved Molecular Histology Method for Ion Suppression Monitoring and Quantification of Phosphatidyl Cholines During MALDI MSI Lipidomics Analyses. OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY 2016; 20:110-21. [PMID: 26871868 DOI: 10.1089/omi.2015.0165] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Tissue lipidomics is one of the latest omics approaches for biomarker discovery in pharmacology, pathology, and the life sciences at large. In this context, matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI) is the most versatile tool to map compounds within tissue sections. However, ion suppression events occurring during MALDI MSI analyses make it impossible to use this method for quantitative investigations without additional validation steps. This is especially true for lipidomics, since different lipid classes are responsible for important ion suppression events. We propose here an improved lipidomics method to assess local ion suppression of phospatidylcholines in tissues. Serial tissue sections were spiked with different amounts of PC(16:0 d31/18:1) using a nebulization device. Settings for standard nebulization were strictly controlled for a detection similar to when using spiked tissue homogenates. The sections were simultaneously analyzed by MALDI MSI using a Fourier transform ion cyclotron resonance analyzer. Such a spray-based approach allows taking into account the biochemical heterogeneity of the tissue for the detection of PC(16:0 d31/18:1). Thus, here we present the perspective to use this method for quantification purposes. The linear regression lines are considered as calibration curves and we calculate PC(16:0/18:1) quantification values for different ROIs. Although those values need to be validated by a using a different independent approach, the workflow offers an insight into new quantitative mass spectrometry imaging (q-MSI) methods. This approach of ion suppression monitoring of phosphocholines in tissues may be highly interesting for a large range of applications in MALDI MSI, particularly for pathology using translational science workflows.
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Affiliation(s)
- Laure Jadoul
- 1 Mass Spectrometry Laboratory, Department of Chemistry, GIGA-Research, GIGA-Cancer, University of Liège , Liège, Belgium
| | - Nicolas Smargiasso
- 1 Mass Spectrometry Laboratory, Department of Chemistry, GIGA-Research, GIGA-Cancer, University of Liège , Liège, Belgium
| | - Fabien Pamelard
- 2 Imabiotech, MALDI Imaging Service Department, Loos, France
| | - Deborah Alberts
- 1 Mass Spectrometry Laboratory, Department of Chemistry, GIGA-Research, GIGA-Cancer, University of Liège , Liège, Belgium
| | - Agnès Noël
- 3 Laboratory of Tumor and Development Biology, GIGA-Cancer, University of Liège , Liège, Belgium
| | - Edwin De Pauw
- 1 Mass Spectrometry Laboratory, Department of Chemistry, GIGA-Research, GIGA-Cancer, University of Liège , Liège, Belgium
| | - Rémi Longuespée
- 1 Mass Spectrometry Laboratory, Department of Chemistry, GIGA-Research, GIGA-Cancer, University of Liège , Liège, Belgium .,4 Present affiliation: Proteopath, Trier, Germany
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8
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Beck A, Terral G, Debaene F, Wagner-Rousset E, Marcoux J, Janin-Bussat MC, Colas O, Van Dorsselaer A, Cianférani S. Cutting-edge mass spectrometry methods for the multi-level structural characterization of antibody-drug conjugates. Expert Rev Proteomics 2016; 13:157-83. [PMID: 26653789 DOI: 10.1586/14789450.2016.1132167] [Citation(s) in RCA: 86] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Antibody drug conjugates (ADCs) are highly cytotoxic drugs covalently attached via conditionally stable linkers to monoclonal antibodies (mAbs) and are among the most promising next-generation empowered biologics for cancer treatment. ADCs are more complex than naked mAbs, as the heterogeneity of the conjugates adds to the inherent microvariability of the biomolecules. The development and optimization of ADCs rely on improving their analytical and bioanalytical characterization by assessing several critical quality attributes, namely the distribution and position of the drug, the amount of naked antibody, the average drug to antibody ratio, and the residual drug-linker and related product proportions. Here brentuximab vedotin (Adcetris) and trastuzumab emtansine (Kadcyla), the first and gold-standard hinge-cysteine and lysine drug conjugates, respectively, were chosen to develop new mass spectrometry (MS) methods and to improve multiple-level structural assessment protocols.
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Affiliation(s)
- Alain Beck
- a Centre d'Immunologie Pierre-Fabre (CIPF) , Saint-Julien-en-Genevois , France
| | - Guillaume Terral
- b BioOrganic Mass Spectrometry Laboratory (LSMBO), IPHC, Analytical Sciences Department , Université de Strasbourg , Strasbourg , France.,c IPHC, Analytical Sciences Department, CNRS, UMR7178 , Strasbourg , France
| | - François Debaene
- b BioOrganic Mass Spectrometry Laboratory (LSMBO), IPHC, Analytical Sciences Department , Université de Strasbourg , Strasbourg , France.,c IPHC, Analytical Sciences Department, CNRS, UMR7178 , Strasbourg , France
| | - Elsa Wagner-Rousset
- a Centre d'Immunologie Pierre-Fabre (CIPF) , Saint-Julien-en-Genevois , France
| | - Julien Marcoux
- b BioOrganic Mass Spectrometry Laboratory (LSMBO), IPHC, Analytical Sciences Department , Université de Strasbourg , Strasbourg , France.,c IPHC, Analytical Sciences Department, CNRS, UMR7178 , Strasbourg , France
| | | | - Olivier Colas
- a Centre d'Immunologie Pierre-Fabre (CIPF) , Saint-Julien-en-Genevois , France
| | - Alain Van Dorsselaer
- b BioOrganic Mass Spectrometry Laboratory (LSMBO), IPHC, Analytical Sciences Department , Université de Strasbourg , Strasbourg , France.,c IPHC, Analytical Sciences Department, CNRS, UMR7178 , Strasbourg , France
| | - Sarah Cianférani
- b BioOrganic Mass Spectrometry Laboratory (LSMBO), IPHC, Analytical Sciences Department , Université de Strasbourg , Strasbourg , France.,c IPHC, Analytical Sciences Department, CNRS, UMR7178 , Strasbourg , France
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9
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Martin-Lorenzo M, Alvarez-Llamas G, McDonnell LA, Vivanco F. Molecular histology of arteries: mass spectrometry imaging as a novelex vivotool to investigate atherosclerosis. Expert Rev Proteomics 2015; 13:69-81. [DOI: 10.1586/14789450.2016.1116944] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
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10
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Martin-Lorenzo M, Balluff B, Maroto AS, Carreira RJ, van Zeijl RJM, Gonzalez-Calero L, de la Cuesta F, Barderas MG, Lopez-Almodovar LF, Padial LR, McDonnell LA, Vivanco F, Alvarez-Llamas G. Molecular anatomy of ascending aorta in atherosclerosis by MS Imaging: Specific lipid and protein patterns reflect pathology. J Proteomics 2015; 126:245-51. [PMID: 26079611 DOI: 10.1016/j.jprot.2015.06.005] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2015] [Revised: 06/03/2015] [Accepted: 06/07/2015] [Indexed: 12/22/2022]
Abstract
The molecular anatomy of healthy and atherosclerotic tissue is pursued here to identify ongoing molecular changes in atherosclerosis development. Subclinical atherosclerosis cannot be predicted and novel therapeutic targets are needed. Mass spectrometry imaging (MSI) is a novel unexplored ex vivo imaging approach in CVD able to provide in-tissue molecular maps. A rabbit model of early atherosclerosis was developed and high-spatial-resolution MALDI-MSI was applied to comparatively analyze histologically-based arterial regions of interest from control and early atherosclerotic aortas. Specific protocols were applied to identify lipids and proteins significantly altered in response to atherosclerosis. Observed protein alterations were confirmed by immunohistochemistry in rabbit tissue, and additionally in human aortas. Molecular features specifically defining different arterial regions were identified. Localized in the intima, increased expression of SFA and lysolipids and intimal spatial organization showing accumulation of PI, PG and SM point to endothelial dysfunction and triggered inflammatory response. TG, PA, SM and PE-Cer were identified specifically located in calcified regions. Thymosin β4 (TMSB4X) protein was upregulated in intima versus media layer and also in response to atherosclerosis. This overexpression and localization was confirmed in human aortas. In conclusion, molecular histology by MS Imaging identifies spatial organization of arterial tissue in response to atherosclerosis.
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Affiliation(s)
- Marta Martin-Lorenzo
- Department of Immunology, IIS-Fundación Jiménez Díaz, UAM, REDinREN, Madrid, Spain
| | - Benjamin Balluff
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - Aroa S Maroto
- Department of Immunology, IIS-Fundación Jiménez Díaz, UAM, REDinREN, Madrid, Spain
| | - Ricardo J Carreira
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - Rene J M van Zeijl
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Fernando de la Cuesta
- Department of Vascular Physiopathology, Hospital Nacional de Paraplejicos, SESCAM, Toledo, Spain
| | - Maria G Barderas
- Department of Vascular Physiopathology, Hospital Nacional de Paraplejicos, SESCAM, Toledo, Spain
| | | | - Luis R Padial
- Department of Cardiology, Hospital Virgen de la Salud, SESCAM, Toledo, Spain
| | - Liam A McDonnell
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands.
| | - Fernando Vivanco
- Department of Immunology, IIS-Fundación Jiménez Díaz, UAM, REDinREN, Madrid, Spain; Department of Biochemistry and Molecular Biology I, Universidad Complutense, Madrid, Spain
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11
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Anderson DMG, Spraggins JM, Rose KL, Schey KL. High spatial resolution imaging mass spectrometry of human optic nerve lipids and proteins. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2015; 26:940-7. [PMID: 25893273 PMCID: PMC5650057 DOI: 10.1007/s13361-015-1143-9] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/03/2015] [Revised: 03/17/2015] [Accepted: 03/17/2015] [Indexed: 05/11/2023]
Abstract
The human optic nerve carries signals from the retina to the visual cortex of the brain. Each optic nerve is comprised of approximately one million nerve fibers that are organized into bundles of 800-1200 fibers surrounded by connective tissue and supportive glial cells. Damage to the optic nerve contributes to a number of blinding diseases including: glaucoma, neuromyelitis optica, optic neuritis, and neurofibromatosis; however, the molecular mechanisms of optic nerve damage and death are incompletely understood. Herein we present high spatial resolution MALDI imaging mass spectrometry (IMS) analysis of lipids and proteins to define the molecular anatomy of the human optic nerve. The localization of a number of lipids was observed in discrete anatomical regions corresponding to myelinated and unmyelinated nerve regions as well as to supporting connective tissue, glial cells, and blood vessels. A protein fragment from vimentin, a known intermediate filament marker for astrocytes, was observed surrounding nerved fiber bundles in the lamina cribrosa region. S100B was also found in supporting glial cell regions in the prelaminar region, and the hemoglobin alpha subunit was observed in blood vessel areas. The molecular anatomy of the optic nerve defined by MALDI IMS provides a firm foundation to study biochemical changes in blinding human diseases.
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Affiliation(s)
- David M G Anderson
- Department of Biochemistry, Mass Spectrometry Research Center, Vanderbilt University School of Medicine, Nashville, TN, 37232, USA
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12
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Uehara T, Kikuchi H, Miyazaki S, Iino I, Setoguchi T, Hiramatsu Y, Ohta M, Kamiya K, Morita Y, Tanaka H, Baba S, Hayasaka T, Setou M, Konno H. Overexpression of Lysophosphatidylcholine Acyltransferase 1 and Concomitant Lipid Alterations in Gastric Cancer. Ann Surg Oncol 2015; 23 Suppl 2:S206-13. [PMID: 25752890 DOI: 10.1245/s10434-015-4459-6] [Citation(s) in RCA: 83] [Impact Index Per Article: 9.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2014] [Indexed: 12/15/2022]
Abstract
BACKGROUND The involvement of lipids in carcinogenic and developmental processes has been reported in some malignancies, but their roles in gastric cancer remain to be analyzed. In this study, we compared the lipid content of gastric cancer tissue and adjacent nonneoplastic mucosa using imaging mass spectrometry. METHODS Mass spectra were acquired from 12 sections of human gastric cancer tissue and adjacent nonneoplastic mucosa using a matrix-assisted laser desorption-ionization time-of-flight tandem mass spectrometry type mass spectrometer equipped with a 355 nm Nd:YAG laser. Protein expression of lysophosphatidylcholine acyltransferase 1 (LPCAT1), which converts lysophosphatidylcholine (LPC) to phosphatidylcholine (PC) in the presence of acyl-CoA in Lands' cycle, was immunohistochemically analyzed in 182 gastric cancer specimens. RESULTS The averaged mass spectra from the cancer tissue and nonneoplastic mucosa were identical. Most of the signals that differed between cancer tissue and nonneoplastic mucosa corresponded to phospholipids, the majority of which were PC and LPC. Two signals, m/z 798.5 and 496.3, were higher and lower, respectively, in cancer tissues, predominantly in differentiated adenocarcinoma. A database search enabled identification of the ions at m/z 798.5 and m/z 496.3 as potassium-adducted PC (16:0/18:1) and proton-adducted LPC (16:0), respectively. Immunohistochemical analysis revealed that LPCAT1 was highly expressed in cancer lesions compared to nonneoplastic mucosa, predominantly in differentiated adenocarcinoma. LPCAT1 expression levels correlated positively with tumor differentiation and negatively with tumor depth, lymph node metastasis, and tumor stage. CONCLUSIONS Overexpressed LPCAT1 protein in gastric mucosa appears to play important roles in the tumorigenic process of gastric cancer by converting LPC to PC.
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Affiliation(s)
- Takashi Uehara
- Second Department of Surgery, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Hirotoshi Kikuchi
- Second Department of Surgery, Hamamatsu University School of Medicine, Hamamatsu, Japan.
| | - Shinichiro Miyazaki
- Second Department of Surgery, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Ichirota Iino
- Second Department of Surgery, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Tomohiko Setoguchi
- Second Department of Surgery, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Yoshihiro Hiramatsu
- Second Department of Surgery, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Manabu Ohta
- Oncology Center, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Kinji Kamiya
- Second Department of Surgery, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Yoshifumi Morita
- Second Department of Surgery, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Hiroki Tanaka
- Second Department of Surgery, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Satoshi Baba
- Department of Pathology, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Takahiro Hayasaka
- Department of Cell Biology and Anatomy, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Mitsutoshi Setou
- Department of Cell Biology and Anatomy, Hamamatsu University School of Medicine, Hamamatsu, Japan
| | - Hiroyuki Konno
- Second Department of Surgery, Hamamatsu University School of Medicine, Hamamatsu, Japan
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13
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Cho YT, Su H, Wu WJ, Wu DC, Hou MF, Kuo CH, Shiea J. Biomarker Characterization by MALDI-TOF/MS. Adv Clin Chem 2015; 69:209-54. [PMID: 25934363 DOI: 10.1016/bs.acc.2015.01.001] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Mass spectrometric techniques frequently used in clinical diagnosis, such as gas chromatography-mass spectrometry, liquid chromatography-mass spectrometry, ambient ionization mass spectrometry, and matrix-assisted laser desorption ionization/time-of-flight mass spectrometry (MALDI-TOF/MS), are discussed. Due to its ability to rapidly detect large biomolecules in trace amounts, MALDI-TOF/MS is an ideal tool for characterizing disease biomarkers in biologic samples. Clinical applications of MS for the identification and characterization of microorganisms, DNA fragments, tissues, and biofluids are introduced. Approaches for using MALDI-TOF/MS to detect various disease biomarkers including peptides, proteins, and lipids in biological fluids are further discussed. Finally, various sample pretreatment methods which improve the detection efficiency of disease biomarkers are introduced.
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Affiliation(s)
- Yi-Tzu Cho
- Department of Cosmetic Applications and Management, Yuh-Ing Junior College of Health Care & Management, Kaohsiung, Taiwan
| | - Hung Su
- Department of Chemistry, National Sun Yat-sen University, Kaohsiung, Taiwan
| | - Wen-Jeng Wu
- Department of Urology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
| | - Deng-Chyang Wu
- Division of Gastroenterology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan; Center for Stem Cell Research, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Ming-Feng Hou
- Department of Surgery, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan; Cancer Center, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
| | - Chao-Hung Kuo
- Division of Gastroenterology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan; Center for Stem Cell Research, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Jentaie Shiea
- Department of Chemistry, National Sun Yat-sen University, Kaohsiung, Taiwan; Center for Stem Cell Research, Kaohsiung Medical University, Kaohsiung, Taiwan; Cancer Center, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan; Department of Medicinal and Applied Chemistry, Kaohsiung Medical University, Kaohsiung, Taiwan.
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14
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Wolfender JL, Marti G, Thomas A, Bertrand S. Current approaches and challenges for the metabolite profiling of complex natural extracts. J Chromatogr A 2015; 1382:136-64. [DOI: 10.1016/j.chroma.2014.10.091] [Citation(s) in RCA: 352] [Impact Index Per Article: 39.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2014] [Revised: 10/23/2014] [Accepted: 10/26/2014] [Indexed: 12/11/2022]
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15
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Römpp A, Both JP, Brunelle A, Heeren RMA, Laprévote O, Prideaux B, Seyer A, Spengler B, Stoeckli M, Smith DF. Mass spectrometry imaging of biological tissue: an approach for multicenter studies. Anal Bioanal Chem 2015; 407:2329-35. [DOI: 10.1007/s00216-014-8410-7] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/14/2014] [Revised: 12/03/2014] [Accepted: 12/12/2014] [Indexed: 12/11/2022]
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16
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De Sio G, Smith AJ, Galli M, Garancini M, Chinello C, Bono F, Pagni F, Magni F. A MALDI-Mass Spectrometry Imaging method applicable to different formalin-fixed paraffin-embedded human tissues. MOLECULAR BIOSYSTEMS 2015; 11:1507-14. [DOI: 10.1039/c4mb00716f] [Citation(s) in RCA: 56] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
The paper shows a new method for the application of Matrix Assisted Laser Desorption/Ionisation (MALDI) Mass Spectrometry Imaging (MSI) technology on formalin-fixed paraffin-embedded (FFPE) tissue samples.
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Affiliation(s)
- Gabriele De Sio
- Department of Health Sciences
- Clinical Proteomics Unit
- University Milan-Bicocca
- Milan
- Italy
| | - Andrew James Smith
- Department of Health Sciences
- Clinical Proteomics Unit
- University Milan-Bicocca
- Milan
- Italy
| | - Manuel Galli
- Department of Health Sciences
- Clinical Proteomics Unit
- University Milan-Bicocca
- Milan
- Italy
| | | | - Clizia Chinello
- Department of Health Sciences
- Clinical Proteomics Unit
- University Milan-Bicocca
- Milan
- Italy
| | - Francesca Bono
- Department of Surgery and Translational Medicine
- Section of Pathology
- University Milan-Bicocca
- Monza
- Italy
| | - Fabio Pagni
- Department of Surgery and Translational Medicine
- Section of Pathology
- University Milan-Bicocca
- Monza
- Italy
| | - Fulvio Magni
- Department of Health Sciences
- Clinical Proteomics Unit
- University Milan-Bicocca
- Milan
- Italy
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17
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Roesli C. Recent advances in proteomically subtyping pancreatic ductal adenocarcinomas and their potential clinical impact. Expert Rev Proteomics 2014; 12:5-8. [DOI: 10.1586/14789450.2015.983478] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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18
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Hayward SA. Application of functional 'Omics' in environmental stress physiology: insights, limitations, and future challenges. CURRENT OPINION IN INSECT SCIENCE 2014; 4:35-41. [PMID: 28043406 DOI: 10.1016/j.cois.2014.08.005] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/08/2014] [Revised: 08/06/2014] [Accepted: 08/06/2014] [Indexed: 06/06/2023]
Abstract
Omic technologies have revolutionised how environmental physiologists investigate stress response pathways. To date, however, omic screens typically constitute simple presence/absence correlations, and fall short of explaining mechanism. Disentangling function necessitates hypothesis-driven manipulation of selected molecular signals, and a systems level view will only come from more detailed tissue-specific and time series sampling. The increasing accessibility of omic applications means that species can be selected based on Krogh principles, but focus also needs to be given to core models where multi-platform approaches can be combined to provide a deeper understanding. This review highlights recent technological and intellectual advances in the application of omics to understanding insect stress adaptation, and sets out how to address remaining knowledge gaps.
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Affiliation(s)
- Scott Al Hayward
- University of Birmingham, College of Life and Environmental Sciences, School of Biological Sciences, Edgbaston, Birmingham B15 2TT, UK.
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19
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Fröhlich SM, Archodoulaki VM, Allmaier G, Marchetti-Deschmann M. MALDI-TOF Mass Spectrometry Imaging Reveals Molecular Level Changes in Ultrahigh Molecular Weight Polyethylene Joint Implants in Correlation with Lipid Adsorption. Anal Chem 2014; 86:9723-32. [DOI: 10.1021/ac5025232] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Affiliation(s)
- Sophie M. Fröhlich
- Institute of Chemical
Technologies and Analytics, Vienna University of Technology, Getreidemarkt 9, 1090 Vienna, Austria
| | - Vasiliki-Maria Archodoulaki
- Institute
of Materials
Science and Technology, Vienna University of Technology, Favoritenstrasse 9-11, 1040 Vienna, Austria
| | - Günter Allmaier
- Institute of Chemical
Technologies and Analytics, Vienna University of Technology, Getreidemarkt 9, 1090 Vienna, Austria
| | - Martina Marchetti-Deschmann
- Institute of Chemical
Technologies and Analytics, Vienna University of Technology, Getreidemarkt 9, 1090 Vienna, Austria
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20
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Berisha A, Dold S, Guenther S, Desbenoit N, Takats Z, Spengler B, Römpp A. A comprehensive high-resolution mass spectrometry approach for characterization of metabolites by combination of ambient ionization, chromatography and imaging methods. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2014; 28:1779-91. [PMID: 25559448 DOI: 10.1002/rcm.6960] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/10/2014] [Revised: 06/04/2014] [Accepted: 06/05/2014] [Indexed: 05/24/2023]
Abstract
RATIONALE An ideal method for bioanalytical applications would deliver spatially resolved quantitative information in real time and without sample preparation. In reality these requirements can typically not be met by a single analytical technique. Therefore, we combine different mass spectrometry approaches: chromatographic separation, ambient ionization and imaging techniques, in order to obtain comprehensive information about metabolites in complex biological samples. METHODS Samples were analyzed by laser desorption followed by electrospray ionization (LD-ESI) as an ambient ionization technique, by matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging for spatial distribution analysis and by high-performance liquid chromatography/electrospray ionization mass spectrometry (HPLC/ESI-MS) for quantitation and validation of compound identification. All MS data were acquired with high mass resolution and accurate mass (using orbital trapping and ion cyclotron resonance mass spectrometers). Grape berries were analyzed and evaluated in detail, whereas wheat seeds and mouse brain tissue were analyzed in proof-of-concept experiments. RESULTS In situ measurements by LD-ESI without any sample preparation allowed for fast screening of plant metabolites on the grape surface. MALDI imaging of grape cross sections at 20 µm pixel size revealed the detailed distribution of metabolites which were in accordance with their biological function. HPLC/ESI-MS was used to quantify 13 anthocyanin species as well as to separate and identify isomeric compounds. A total of 41 metabolites (amino acids, carbohydrates, anthocyanins) were identified with all three approaches. Mass accuracy for all MS measurements was better than 2 ppm (root mean square error). CONCLUSIONS The combined approach provides fast screening capabilities, spatial distribution information and the possibility to quantify metabolites. Accurate mass measurements proved to be critical in order to reliably combine data from different MS techniques. Initial results on the mycotoxin deoxynivalenol (DON) in wheat seed and phospholipids in mouse brain as a model for mammalian tissue indicate a broad applicability of the presented workflow.
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Affiliation(s)
- Arton Berisha
- Institute of Inorganic and Analytical Chemistry, Justus Liebig University Giessen, Schubertstrasse 60, 35392, Giessen, Germany
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Huber K, Aichler M, Sun N, Buck A, Li Z, Fernandez IE, Hauck SM, Zitzelsberger H, Eickelberg O, Janssen KP, Keller U, Walch A. A rapid ex vivo tissue model for optimising drug detection and ionisation in MALDI imaging studies. Histochem Cell Biol 2014; 142:361-71. [DOI: 10.1007/s00418-014-1223-0] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 04/15/2014] [Indexed: 12/25/2022]
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22
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Acosta-Martin AE, Lane L. Combining bioinformatics and MS-based proteomics: clinical implications. Expert Rev Proteomics 2014; 11:269-84. [PMID: 24720436 DOI: 10.1586/14789450.2014.900446] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Clinical proteomics research aims at i) discovery of protein biomarkers for screening, diagnosis and prognosis of disease, ii) discovery of protein therapeutic targets for improvement of disease prevention, treatment and follow-up, and iii) development of mass spectrometry (MS)-based assays that could be implemented in clinical chemistry, microbiology or hematology laboratories. MS has been increasingly applied in clinical proteomics studies for the identification and quantification of proteins. Bioinformatics plays a key role in the exploitation of MS data in several aspects such as the generation and curation of protein sequence databases, the development of appropriate software for MS data treatment and integration with other omics data and the establishment of adequate standard files for data sharing. In this article, we discuss the main MS approaches and bioinformatics solutions that are currently applied to accomplish the objectives of clinical proteomic research.
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23
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Gromov P, Moreira JMA, Gromova I. Proteomic analysis of tissue samples in translational breast cancer research. Expert Rev Proteomics 2014; 11:285-302. [DOI: 10.1586/14789450.2014.899469] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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Qualitative and quantitative mass spectrometry imaging of drugs and metabolites in tissue at therapeutic levels. Histochem Cell Biol 2013; 140:93-104. [PMID: 23881163 DOI: 10.1007/s00418-013-1127-4] [Citation(s) in RCA: 46] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/02/2013] [Indexed: 10/26/2022]
Abstract
Mass spectrometry imaging (MSI) is a rapidly evolving technology that yields qualitative and quantitative distribution maps of small pharmaceutical-active molecules and their metabolites in tissue sections in situ. The simplicity, high sensitivity and ability to provide comprehensive spatial distribution maps of different classes of biomolecules make MSI a valuable tool to complement histopathology for diagnostics and biomarker discovery. In this review, qualitative and quantitative MSI of drugs and metabolites in tissue at therapeutic levels are discussed and the impact of this technique in drug discovery and clinical research is highlighted.
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