1
|
Jha D, Blennow K, Zetterberg H, Savas JN, Hanrieder J. Spatial neurolipidomics-MALDI mass spectrometry imaging of lipids in brain pathologies. JOURNAL OF MASS SPECTROMETRY : JMS 2024; 59:e5008. [PMID: 38445816 DOI: 10.1002/jms.5008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 01/03/2024] [Accepted: 01/25/2024] [Indexed: 03/07/2024]
Abstract
Given the complexity of nervous tissues, understanding neurochemical pathophysiology puts high demands on bioanalytical techniques with respect to specificity and sensitivity. Mass spectrometry imaging (MSI) has evolved to become an important, biochemical imaging technology for spatial biology in biological and translational research. The technique facilitates comprehensive, sensitive elucidation of the spatial distribution patterns of drugs, lipids, peptides, and small proteins in situ. Matrix-assisted laser desorption ionization (MALDI)-based MSI is the dominating modality due to its broad applicability and fair compromise of selectivity, sensitivity price, throughput, and ease of use. This is particularly relevant for the analysis of spatial lipid patterns, where no other comparable spatial profiling tools are available. Understanding spatial lipid biology in nervous tissue is therefore a key and emerging application area of MSI research. The aim of this review is to give a concise guide through the MSI workflow for lipid imaging in central nervous system (CNS) tissues and essential parameters to consider while developing and optimizing MSI assays. Further, this review provides a broad overview of key developments and applications of MALDI MSI-based spatial neurolipidomics to map lipid dynamics in neuronal structures, ultimately contributing to a better understanding of neurodegenerative disease pathology.
Collapse
Affiliation(s)
- Durga Jha
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal Hospital, Mölndal, Sweden
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal Hospital, Mölndal, Sweden
- Clinical Neurochemistry Lab, Sahlgrenska University Hospital, Mölndal, Sweden
- Paris Brain Institute, ICM, Pitié-Salpêtrière Hospital, Sorbonne University, Paris, France
- Neurodegenerative Disorder Research Center, Division of Life Sciences and Medicine, Department of Neurology, Institute on Aging and Brain Disorders, University of Science and Technology of China and First Affiliated Hospital of USTC, Hefei, China
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal Hospital, Mölndal, Sweden
- Clinical Neurochemistry Lab, Sahlgrenska University Hospital, Mölndal, Sweden
- UK Dementia Research Institute at UCL, London, UK
- Department of Neurodegenerative Disease, Queen Square Institute of Neurology, University College London, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Jeffrey N Savas
- Department of Neurology, Northwestern University Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Jörg Hanrieder
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal Hospital, Mölndal, Sweden
- Clinical Neurochemistry Lab, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, Queen Square Institute of Neurology, University College London, London, UK
| |
Collapse
|
2
|
Murphy SE, Sweedler JV. Metabolomics-based mass spectrometry methods to analyze the chemical content of 3D organoid models. Analyst 2022; 147:2918-2929. [PMID: 35660810 PMCID: PMC9533735 DOI: 10.1039/d2an00599a] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/19/2023]
Abstract
Metabolomics, the study of metabolites present in biological samples, can provide a global view of sample state as well as insights into biological changes caused by disease or environmental interactions. Mass spectrometry (MS) is commonly used for metabolomics analysis given its high-throughput capabilities, high sensitivity, and capacity to identify multiple compounds in complex samples simultaneously. MS can be coupled to separation methods that can handle small volumes, making it well suited for analyzing the metabolome of organoids, miniaturized three-dimensional aggregates of stem cells that model in vivo organs. Organoids are being used in research efforts to study human disease and development, and in the design of personalized drug treatments. For organoid models to be useful, they need to recapitulate morphological and chemical aspects, such as the metabolome, of the parent tissue. This review highlights the separation- and imaging-based MS-based metabolomics methods that have been used to analyze the chemical contents of organoids. Future perspectives on how MS techniques can be optimized to determine the accuracy of organoid models and expand the field of organoid research are also discussed.
Collapse
Affiliation(s)
- Shannon E Murphy
- Department of Chemistry, University of Illinois at Urbana-Champaign, 600 South Mathews Avenue, Urbana, Illinois, 61801, USA.
| | - Jonathan V Sweedler
- Department of Chemistry, University of Illinois at Urbana-Champaign, 600 South Mathews Avenue, Urbana, Illinois, 61801, USA.
| |
Collapse
|
3
|
Liang Y, Feng Q, Wang Z. Mass Spectrometry Imaging as a New Method: To Reveal the Pathogenesis and the Mechanism of Traditional Medicine in Cerebral Ischemia. Front Pharmacol 2022; 13:887050. [PMID: 35721195 PMCID: PMC9204101 DOI: 10.3389/fphar.2022.887050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 05/13/2022] [Indexed: 11/22/2022] Open
Abstract
Mass spectrometry imaging (MSI) can describe the spatial distribution of molecules in various complex biological samples, such as metabolites, lipids, peptides and proteins in a comprehensive way, and can provide highly relevant supplementary information when combined with other molecular imaging techniques and chromatography techniques, so it has been used more and more widely in biomedical research. The application of mass spectrometry imaging in neuroscience is developing. It is very advantageous and necessary to use MSI to study various pathophysiological processes involved in brain injury and functional recovery during cerebral ischemia. Therefore, this paper introduces the techniques of mass spectrometry, including the principle of mass spectrometry, the acquisition and preparation of imaging samples, the commonly used ionization techniques, and the optimization of the current applied methodology. Furthermore, the research on the mechanism of cerebral ischemia by mass spectrometry was reviewed, such as phosphatidylcholine involved, dopamine, spatial distribution and level changes of physiological substances such as ATP in the Krebs cycle; The characteristics of mass spectrometry imaging as one of the methods of metabolomics in screening biomarkers related to cerebral ischemia were analyzed the advantages of MSI in revealing drug distribution and the mechanism of traditional drugs were summarized, and the existing problems of MSI were also analyzed and relevant suggestions were put forward.
Collapse
Affiliation(s)
- Yan Liang
- College of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
- State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Qiaoqiao Feng
- College of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
- State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Zhang Wang
- State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, China
- College of Ethnomedicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China
- *Correspondence: Zhang Wang,
| |
Collapse
|
4
|
Zhao C, Cai Z. Three-dimensional quantitative mass spectrometry imaging in complex system: From subcellular to whole organism. MASS SPECTROMETRY REVIEWS 2022; 41:469-487. [PMID: 33300181 DOI: 10.1002/mas.21674] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2020] [Revised: 10/13/2020] [Accepted: 10/22/2020] [Indexed: 06/12/2023]
Abstract
Mass spectrometry imaging (MSI) has been applied for label-free three-dimensional (3D) imaging from position array across the whole organism, which provides high-dimensional quantitative data of inorganic or organic compounds that may play an important role in the regulation of cellular signaling, including metals, metabolites, lipids, drugs, peptides, and proteins. While MSI is suitable for investigation of the spatial distribution of molecules, it has a limitation with visualization and quantification of multiple molecules. 3D-MSI, however, can be applied toward exploring metabolic pathway as well as the interactions of lipid-protein, protein-protein, and metal-protein in complex systems from subcellular to the whole organism through an untargeted methodology. In this review, we highlight the methods and applications of MS-based 3D imaging to address the complexity of molecular interaction from nano- to micrometer lateral resolution, with particular focus on: (a) common and hybrid 3D-MSI techniques; (b) quantitative MSI methodology, including the methods using a stable isotope labeling internal standard (SILIS) and SILIS-free approaches with tissue extinction coefficient or virtual calibration; (c) reconstruction of the 3D organ; (d) application of 3D-MSI for biomarker screening and environmental toxicological research. 3D-MSI quantitative analysis provides accurate spatial information and quantitative variation of biomolecules, which may be valuable for the exploration of the molecular mechanism of the disease progresses and toxicological assessment of environmental pollutants in the whole organism. Additionally, we also discuss the challenges and perspectives on the future of 3D quantitative MSI.
Collapse
Affiliation(s)
- Chao Zhao
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong SAR, China
- Institute of Biomedical and Health Engineering, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China
| | - Zongwei Cai
- State Key Laboratory of Environmental and Biological Analysis, Department of Chemistry, Hong Kong Baptist University, Hong Kong SAR, China
| |
Collapse
|
5
|
A Reliable Approach for Revealing Molecular Targets in Secondary Ion Mass Spectrometry. Int J Mol Sci 2022; 23:ijms23094615. [PMID: 35563005 PMCID: PMC9103194 DOI: 10.3390/ijms23094615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2022] [Revised: 04/07/2022] [Accepted: 04/11/2022] [Indexed: 12/10/2022] Open
Abstract
Nano secondary ion mass spectrometry (nanoSIMS) imaging is a rapidly growing field in biological sciences, which enables investigators to describe the chemical composition of cells and tissues with high resolution. One of the major challenges of nanoSIMS is to identify specific molecules or organelles, as these are not immediately recognizable in nanoSIMS and need to be revealed by SIMS-compatible probes. Few laboratories have generated such probes, and none are commercially available. To address this, we performed a systematic study of probes initially developed for electron microscopy. Relying on nanoscale SIMS, we found that antibodies coupled to 6 nm gold particles are surprisingly efficient in terms of labeling specificity while offering a reliable detection threshold. These tools enabled accurate visualization and sample analysis and were easily employed in correlating SIMS with other imaging approaches, such as fluorescence microscopy. We conclude that antibodies conjugated to moderately sized gold particles are promising tools for SIMS imaging.
Collapse
|
6
|
Michno W, Wehrli PM, Koutarapu S, Marsching C, Minta K, Ge J, Meyer SW, Zetterberg H, Blennow K, Henkel C, Oetjen J, Hopf C, Hanrieder J. Structural amyloid plaque polymorphism is associated with distinct lipid accumulations revealed by trapped ion mobility mass spectrometry imaging. J Neurochem 2021; 160:482-498. [PMID: 34882796 DOI: 10.1111/jnc.15557] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2020] [Revised: 10/17/2021] [Accepted: 12/01/2021] [Indexed: 01/13/2023]
Abstract
Understanding of Alzheimer's disease (AD) pathophysiology requires molecular assessment of how key pathological factors, specifically amyloid β (Aβ) plaques, influence the surrounding microenvironment. Here, neuronal lipids have been implicated in Aβ plaque pathology, though the lipid microenvironment in direct proximity to Aβ plaques is still not fully resolved. A further challenge is the microenvironmental molecular heterogeneity, across structurally polymorphic Aβ features, such as diffuse, immature, and mature, fibrillary aggregates, whose resolution requires the integration of advanced, multimodal chemical imaging tools. Herein, we used matrix-assisted laser desorption/ionization trapped ion mobility spectrometry time-of-flight based mass spectrometry imaging (MALDI TIMS TOF MSI) in combination with hyperspectral confocal microscopy to probe the lipidomic microenvironment associated with structural polymorphism of Aβ plaques in transgenic Alzheimer's disease mice (tgAPPSWE ). Using on tissue and ex situ validation, TIMS MS/MS facilitated unambiguous identification of isobaric lipid species that showed plaque pathology-associated localizations. Integrated multivariate imaging data analysis revealed multiple, Aβ plaque-enriched lipid patterns for gangliosides (GM), phosphoinositols (PI), phosphoethanolamines (PE), and phosphatidic acids (PA). Conversely, sulfatides (ST), cardiolipins (CL), and polyunsaturated fatty acid (PUFA)-conjugated phosphoserines (PS), and PE were depleted at plaques. Hyperspectral amyloid imaging further delineated the unique distribution of PA and PE species to mature plaque core regions, while PI, LPI, GM2 and GM3 lipids localized to immature Aβ aggregates present within the periphery of Aβ plaques. Finally, we followed AD pathology-associated lipid changes over time, identifying plaque- growth and maturation to be characterized by peripheral accumulation of PI (18:0/22:6). Together, these data demonstrate the potential of multimodal imaging approaches to overcome limitations associated with conventional advanced MS imaging applications. This allowed for the differentiation of both distinct lipid components in a complex micro-environment as well as their correlation to disease-relevant amyloid plaque polymorphs.
Collapse
Affiliation(s)
- Wojciech Michno
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden.,Department of Neuroscience, Physiology and Pharmacology, University College London, Gower Street, London, UK.,Department of Pediatrics, Stanford University School of Medicine, Stanford University, Stanford, California, USA
| | - Patrick M Wehrli
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| | - Srinivas Koutarapu
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| | - Christian Marsching
- Center for Mass Spectrometry and Optical Spectroscopy (CeMOS), Mannheim University of Applied Sciences, Mannheim, Germany
| | - Karolina Minta
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| | - Junyue Ge
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden
| | | | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital Mölndal, Mölndal, Sweden.,Department of Neurodegenerative Disease, Queen Square Institute of Neurology, University College London, London, UK.,UK Dementia Research Institute, University College London, London, UK
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital Mölndal, Mölndal, Sweden
| | | | | | - Carsten Hopf
- Center for Mass Spectrometry and Optical Spectroscopy (CeMOS), Mannheim University of Applied Sciences, Mannheim, Germany
| | - Jörg Hanrieder
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy, University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital Mölndal, Mölndal, Sweden.,Department of Neurodegenerative Disease, Queen Square Institute of Neurology, University College London, London, UK
| |
Collapse
|
7
|
Tezel G. Multiplex protein analysis for the study of glaucoma. Expert Rev Proteomics 2021; 18:911-924. [PMID: 34672220 PMCID: PMC8712406 DOI: 10.1080/14789450.2021.1996232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Accepted: 10/15/2021] [Indexed: 10/20/2022]
Abstract
INTRODUCTION Glaucoma, a leading cause of irreversible blindness in the world, is a chronic neurodegenerative disease of multifactorial origin. Extensive research is ongoing to better understand, prevent, and treat progressive degeneration of retinal ganglion cells in glaucoma. While experimental models of glaucoma and postmortem tissues of human donors are analyzed for pathophysiological comprehension and improved treatment of this blinding disease, clinical samples of intraocular biofluids and blood collected from glaucoma patients are analyzed to identify predictive, diagnostic, and prognostic biomarkers. Multiplexing techniques for protein analysis offer a valuable approach for translational glaucoma research. AREAS COVERED This review provides an overview of the increasing applications of multiplex protein analysis for glaucoma research and also highlights current research challenges in the field and expected solutions from emerging technological advances. EXPERT OPINION Analytical techniques for multiplex analysis of proteins can help uncover neurodegenerative processes for enhanced treatment of glaucoma and can help identify molecular biomarkers for improved clinical testing and monitoring of this complex disease. This evolving field and continuously growing availability of new technologies are expected to broaden the comprehension of this complex neurodegenerative disease and speed up the progress toward new therapeutics and personalized patient care to prevent blindness from glaucoma.
Collapse
Affiliation(s)
- Gülgün Tezel
- Department of Ophthalmology, Vagelos College of Physicians and Surgeons, Columbia University, Edward S. Harkness Eye Institute, New York, NY, USA
| |
Collapse
|
8
|
Ajith A, Sthanikam Y, Banerjee S. Chemical analysis of the human brain by imaging mass spectrometry. Analyst 2021; 146:5451-5473. [PMID: 34515699 DOI: 10.1039/d1an01109j] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Analysis of the chemical makeup of the brain enables a deeper understanding of several neurological processes. Molecular imaging that deciphers the spatial distribution of neurochemicals with high specificity and sensitivity is an exciting avenue in this aspect. The past two decades have witnessed a significant surge of mass spectrometry imaging (MSI) that can simultaneously map the distribution of hundreds to thousands of biomolecules in the tissue specimen at a fairly high resolution, which is otherwise beyond the scope of other molecular imaging techniques. In this review, we have documented the evolution of MSI technologies in imaging the anatomical distribution of neurochemicals in the human brain in the context of several neuro diseases. This review also addresses the potential of MSI to be a next-generation molecular imaging technique with its promising applications in neuropathology.
Collapse
Affiliation(s)
- Akhila Ajith
- Department of Chemistry, Indian Institute of Science Education and Research Tirupati, Tirupati 517507, India.
| | - Yeswanth Sthanikam
- Department of Chemistry, Indian Institute of Science Education and Research Tirupati, Tirupati 517507, India.
| | - Shibdas Banerjee
- Department of Chemistry, Indian Institute of Science Education and Research Tirupati, Tirupati 517507, India.
| |
Collapse
|
9
|
Cordes J, Enzlein T, Marsching C, Hinze M, Engelhardt S, Hopf C, Wolf I. M2aia-Interactive, fast, and memory-efficient analysis of 2D and 3D multi-modal mass spectrometry imaging data. Gigascience 2021; 10:giab049. [PMID: 34282451 PMCID: PMC8290197 DOI: 10.1093/gigascience/giab049] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2021] [Revised: 05/19/2021] [Accepted: 06/25/2021] [Indexed: 11/26/2022] Open
Abstract
BACKGROUND Mass spectrometry imaging (MSI) is a label-free analysis method for resolving bio-molecules or pharmaceuticals in the spatial domain. It offers unique perspectives for the examination of entire organs or other tissue specimens. Owing to increasing capabilities of modern MSI devices, the use of 3D and multi-modal MSI becomes feasible in routine applications-resulting in hundreds of gigabytes of data. To fully leverage such MSI acquisitions, interactive tools for 3D image reconstruction, visualization, and analysis are required, which preferably should be open-source to allow scientists to develop custom extensions. FINDINGS We introduce M2aia (MSI applications for interactive analysis in MITK), a software tool providing interactive and memory-efficient data access and signal processing of multiple large MSI datasets stored in imzML format. M2aia extends MITK, a popular open-source tool in medical image processing. Besides the steps of a typical signal processing workflow, M2aia offers fast visual interaction, image segmentation, deformable 3D image reconstruction, and multi-modal registration. A unique feature is that fused data with individual mass axes can be visualized in a shared coordinate system. We demonstrate features of M2aia by reanalyzing an N-glycan mouse kidney dataset and 3D reconstruction and multi-modal image registration of a lipid and peptide dataset of a mouse brain, which we make publicly available. CONCLUSIONS To our knowledge, M2aia is the first extensible open-source application that enables a fast, user-friendly, and interactive exploration of large datasets. M2aia is applicable to a wide range of MSI analysis tasks.
Collapse
Affiliation(s)
- Jonas Cordes
- Faculty of Computer Science, Mannheim University of Applied Sciences, Paul-Wittsack-Straße 10, 68163 Mannheim, Germany
- Medical Faculty Mannheim, University Heidelberg, Theodor Kutzer-Ufer 1-3, 68167 Mannheim, Germany
| | - Thomas Enzlein
- Center for Mass Spectrometry and Optical Spectroscopy (CeMOS), Mannheim University of Applied Sciences, Paul-Wittsack-Straße 10, 68163 Mannheim, Germany
| | - Christian Marsching
- Center for Mass Spectrometry and Optical Spectroscopy (CeMOS), Mannheim University of Applied Sciences, Paul-Wittsack-Straße 10, 68163 Mannheim, Germany
| | - Marven Hinze
- Faculty of Computer Science, Mannheim University of Applied Sciences, Paul-Wittsack-Straße 10, 68163 Mannheim, Germany
| | - Sandy Engelhardt
- Working Group “Artificial Intelligence in Cardiovascular Medicine” (AICM), University Hospital Heidelberg, Im Neuenheimer Feld 410, 69120 Heidelberg, Germany
| | - Carsten Hopf
- Center for Mass Spectrometry and Optical Spectroscopy (CeMOS), Mannheim University of Applied Sciences, Paul-Wittsack-Straße 10, 68163 Mannheim, Germany
| | - Ivo Wolf
- Faculty of Computer Science, Mannheim University of Applied Sciences, Paul-Wittsack-Straße 10, 68163 Mannheim, Germany
| |
Collapse
|
10
|
Michno W, Blennow K, Zetterberg H, Brinkmalm G. Refining the amyloid β peptide and oligomer fingerprint ambiguities in Alzheimer's disease: Mass spectrometric molecular characterization in brain, cerebrospinal fluid, blood, and plasma. J Neurochem 2021; 159:234-257. [PMID: 34245565 DOI: 10.1111/jnc.15466] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2021] [Revised: 06/11/2021] [Accepted: 07/06/2021] [Indexed: 01/05/2023]
Abstract
Since its discovery, amyloid-β (Aβ) has been the principal target of investigation of in Alzheimer's disease (AD). Over the years however, no clear correlation was found between the Aβ plaque burden and location, and AD-associated neurodegeneration and cognitive decline. Instead, diagnostic potential of specific Aβ peptides and/or their ratio, was established. For instance, a selective reduction in the concentration of the aggregation-prone 42 amino acid-long Aβ peptide (Aβ42) in cerebrospinal fluid (CSF) was put forward as reflective of Aβ peptide aggregation in the brain. With time, Aβ oligomers-the proposed toxic Aβ intermediates-have emerged as potential drivers of synaptic dysfunction and neurodegeneration in the disease process. Oligomers are commonly agreed upon to come in different shapes and sizes, and are very poorly characterized when it comes to their composition and their "toxic" properties. The concept of structural polymorphism-a diversity in conformational organization of amyloid aggregates-that depends on the Aβ peptide backbone, makes the characterization of Aβ aggregates and their role in AD progression challenging. In this review, we revisit the history of Aβ discovery and initial characterization and highlight the crucial role mass spectrometry (MS) has played in this process. We critically review the common knowledge gaps in the molecular identity of the Aβ peptide, and how MS is aiding the characterization of higher order Aβ assemblies. Finally, we go on to present recent advances in MS approaches for characterization of Aβ as single peptides and oligomers, and convey our optimism, as to how MS holds a promise for paving the way for progress toward a more comprehensive understanding of Aβ in AD research.
Collapse
Affiliation(s)
- Wojciech Michno
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Department of Neuroscience, Physiology and Pharmacology, University College London, London, UK.,Department of Pediatrics, Stanford University School of Medicine, Stanford University, Stanford, CA, USA
| | - Kaj Blennow
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henrik Zetterberg
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,Department of Neurodegenerative Disease, UCL Institute of Neurology, Queen Square, London, UK.,UK Dementia Research Institute at UCL, London, UK
| | - Gunnar Brinkmalm
- Institute of Neuroscience and Physiology, Department of Psychiatry and Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| |
Collapse
|
11
|
Michno W, Stringer KM, Enzlein T, Passarelli MK, Escrig S, Vitanova K, Wood J, Blennow K, Zetterberg H, Meibom A, Hopf C, Edwards FA, Hanrieder J. Following spatial Aβ aggregation dynamics in evolving Alzheimer's disease pathology by imaging stable isotope labeling kinetics. SCIENCE ADVANCES 2021; 7:7/25/eabg4855. [PMID: 34134980 PMCID: PMC8208724 DOI: 10.1126/sciadv.abg4855] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2021] [Accepted: 05/04/2021] [Indexed: 05/04/2023]
Abstract
β-Amyloid (Aβ) plaque formation is the major pathological hallmark of Alzheimer's disease (AD) and constitutes a potentially critical, early inducer driving AD pathogenesis as it precedes other pathological events and cognitive symptoms by decades. It is therefore critical to understand how Aβ pathology is initiated and where and when distinct Aβ species aggregate. Here, we used metabolic isotope labeling in APPNL-G-F knock-in mice together with mass spectrometry imaging to monitor the earliest seeds of Aβ deposition through ongoing plaque development. This allowed visualizing Aβ aggregation dynamics within single plaques across different brain regions. We show that formation of structurally distinct plaques is associated with differential Aβ peptide deposition. Specifically, Aβ1-42 is forming an initial core structure followed by radial outgrowth and late secretion and deposition of Aβ1-38. These data describe a detailed picture of the earliest events of precipitating amyloid pathology at scales not previously possible.
Collapse
Affiliation(s)
- Wojciech Michno
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Department of Neuroscience, Physiology, and Pharmacology, University College London, London, UK
| | - Katie M Stringer
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Department of Neuroscience, Physiology, and Pharmacology, University College London, London, UK
| | - Thomas Enzlein
- Center for Mass Spectrometry and Optical Spectroscopy, Mannheim University of Applied Sciences, Mannheim, Germany
| | - Melissa K Passarelli
- Laboratory of Biological Geochemistry, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
- Department of Chemistry and Biochemistry, Concordia University, Montréal, Québec, Canada
| | - Stephane Escrig
- Laboratory of Biological Geochemistry, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
| | - Karina Vitanova
- Department of Neuroscience, Physiology, and Pharmacology, University College London, London, UK
| | - Jack Wood
- Department of Neuroscience, Physiology, and Pharmacology, University College London, London, UK
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, Queen Square Institute of Neurology, University College London, London, UK
- UK Dementia Research Institute, University College London, London, UK
| | - Anders Meibom
- Laboratory of Biological Geochemistry, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland
- Center for Advanced Surface Analysis, Institute of Earth Sciences, University of Lausanne, Lausanne, Switzerland
| | - Carsten Hopf
- Center for Mass Spectrometry and Optical Spectroscopy, Mannheim University of Applied Sciences, Mannheim, Germany
| | - Frances A Edwards
- Department of Neuroscience, Physiology, and Pharmacology, University College London, London, UK
| | - Jörg Hanrieder
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.
- Department of Neurodegenerative Disease, Queen Square Institute of Neurology, University College London, London, UK
| |
Collapse
|
12
|
Chen C, Laviolette SR, Whitehead SN, Renaud JB, Yeung KKC. Imaging of Neurotransmitters and Small Molecules in Brain Tissues Using Laser Desorption/Ionization Mass Spectrometry Assisted with Zinc Oxide Nanoparticles. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2021; 32:1065-1079. [PMID: 33783203 DOI: 10.1021/jasms.1c00021] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Inorganic nanostructured materials such as silicon, carbon, metals, and metal oxides have been explored as matrices of low-background signals to assist the laser desorption/ionization (LDI) mass spectrometric (MS) analysis of small molecules, but their applications for imaging of small molecules in biological tissues remain limited in the literature. Titanium dioxide is one of the known nanoparticles (NP) that can effectively assist LDI MS imaging of low molecular weight molecules (LMWM). TiO2 NP is commercially available as dispersions, which can be applied using a chemical solution sprayer. However, aggregation of NP can occur in the dispersions, and the aggregated NP can slowly clog the sprayer nozzle. In this work, the use of zinc oxide (ZnO) NP for LDI MS imaging is investigated as a superior alternative due to its dissolution in acidic pH. ZnO NP was found to deliver similar or better results in the imaging of LMWM in comparison to TiO2 NP. The regular acid washes were effective in minimizing clogging and maintaining high reproducibility. High-quality images of mouse sagittal and rat coronal tissue sections were obtained. Ions were detected predominately as Na+ or K+ adducts in the positive ion mode. The number of LMWM detected with ZnO NP was similar to that obtained with TiO2 NP, and only a small degree of specificity was observed.
Collapse
Affiliation(s)
| | | | | | - Justin B Renaud
- London Research and Development Center, Agriculture and Agri-Food Canada, London, ON N5 V 4T3, Canada
| | | |
Collapse
|
13
|
Zhang W, Claesen M, Moerman T, Groseclose MR, Waelkens E, De Moor B, Verbeeck N. Spatially aware clustering of ion images in mass spectrometry imaging data using deep learning. Anal Bioanal Chem 2021; 413:2803-2819. [PMID: 33646352 PMCID: PMC8007517 DOI: 10.1007/s00216-021-03179-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Revised: 11/25/2020] [Accepted: 01/15/2021] [Indexed: 11/12/2022]
Abstract
Computational analysis is crucial to capitalize on the wealth of spatio-molecular information generated by mass spectrometry imaging (MSI) experiments. Currently, the spatial information available in MSI data is often under-utilized, due to the challenges of in-depth spatial pattern extraction. The advent of deep learning has greatly facilitated such complex spatial analysis. In this work, we use a pre-trained neural network to extract high-level features from ion images in MSI data, and test whether this improves downstream data analysis. The resulting neural network interpretation of ion images, coined neural ion images, is used to cluster ion images based on spatial expressions. We evaluate the impact of neural ion images on two ion image clustering pipelines, namely DBSCAN clustering, combined with UMAP-based dimensionality reduction, and k-means clustering. In both pipelines, we compare regular and neural ion images from two different MSI datasets. All tested pipelines could extract underlying spatial patterns, but the neural network-based pipelines provided better assignment of ion images, with more fine-grained clusters, and greater consistency in the spatial structures assigned to individual clusters. Additionally, we introduce the relative isotope ratio metric to quantitatively evaluate clustering quality. The resulting scores show that isotopical m/z values are more often clustered together in the neural network-based pipeline, indicating improved clustering outcomes. The usefulness of neural ion images extends beyond clustering towards a generic framework to incorporate spatial information into any MSI-focused machine learning pipeline, both supervised and unsupervised.
Collapse
Affiliation(s)
- Wanqiu Zhang
- KU Leuven, Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, Kasteelpark Arenberg 10, 3001, Leuven, Belgium.
- Aspect Analytics NV, C-mine 12, 3600, Genk, Belgium.
| | - Marc Claesen
- Aspect Analytics NV, C-mine 12, 3600, Genk, Belgium
| | | | | | - Etienne Waelkens
- KU Leuven, Department of Cellular and Molecular Medicine, Campus Gasthuisberg O&N1, Herestraat 49, Box 901, 3000, Leuven, Belgium
| | - Bart De Moor
- KU Leuven, Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, Kasteelpark Arenberg 10, 3001, Leuven, Belgium
| | | |
Collapse
|
14
|
Zhvansky ES, Ivanov DG, Sorokin AA, Bugrova AE, Nikolaev EN, Popov IA. Interactive Estimation of Heterogeneity from Mass Spectrometry Imaging. Anal Chem 2021; 93:3706-3709. [PMID: 33591173 DOI: 10.1021/acs.analchem.1c00437] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
In this work, we demonstrate a new approach for interactively assessing hyperspectral data spatial structures for heterogeneity using mass spectrometry imaging. This approach is based on the visualization of the cosine distance as the similarity levels between mass spectra of a chosen region and the rest of the image (sample). The applicability of the method is demonstrated on a set of mass spectrometry images of frontal mouse brain slices. Selection of the reference pixel of the mass spectrometric image and a further view of the corresponding cosine distance map helps to prepare supporting vectors for further analysis, select features, and carry out biological interpretation of different tissues in the mass spectrometry context with or without histological annotation. Visual inspection of the similarity maps reveals the spatial distribution of features in tissue samples, which can serve as the molecular histological annotation of a slide.
Collapse
Affiliation(s)
- Evgeny S Zhvansky
- Moscow Institute of Physics and Technology, Institutskij bystr. 9, 141700 Dolgoprudnyi, Moscow Region, Russia
| | - Daniil G Ivanov
- Moscow Institute of Physics and Technology, Institutskij bystr. 9, 141700 Dolgoprudnyi, Moscow Region, Russia.,Emanuel Institute for Biochemical Physics of the Russian Academy of Sciences, Kosygina st. 4, 119334 Moscow, Russia
| | - Anatoly A Sorokin
- Moscow Institute of Physics and Technology, Institutskij bystr. 9, 141700 Dolgoprudnyi, Moscow Region, Russia.,Institute of Cell Biophysics RAS, Institutskaya st., 3, 142290 Pushchino, Russia.,Institute of Systems, Molecular and Integrative Biology, Biosciences Building, University of Liverpool, Crown Street, Liverpool L69 7ZB, U.K
| | - Anna E Bugrova
- Emanuel Institute for Biochemical Physics of the Russian Academy of Sciences, Kosygina st. 4, 119334 Moscow, Russia
| | - Evgeny N Nikolaev
- Skolkovo Institute of Science and Technology, Novaya Street, 100, 143025 Skolkovo, Russia
| | - Igor A Popov
- Moscow Institute of Physics and Technology, Institutskij bystr. 9, 141700 Dolgoprudnyi, Moscow Region, Russia
| |
Collapse
|
15
|
Bonnin EA, Rizzoli SO. Novel Secondary Ion Mass Spectrometry Methods for the Examination of Metabolic Effects at the Cellular and Subcellular Levels. Front Behav Neurosci 2020; 14:124. [PMID: 32792922 PMCID: PMC7384447 DOI: 10.3389/fnbeh.2020.00124] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2020] [Accepted: 06/24/2020] [Indexed: 11/13/2022] Open
Abstract
The behavior of an animal has substantial effects on its metabolism. Such effects, including changes in the lipid composition of different organs, or changes in the turnover of the proteins, have typically been observed using liquid mass spectrometry methods, averaging the effect of animal behavior across tissue samples containing multiple cells. These methods have provided the scientific community with valuable information, but have limited resolution, making it difficult if not impossible to examine metabolic effects at the cellular and subcellular levels. Recent advances in the field of secondary ion mass spectrometry (SIMS) have made it possible to examine the metabolic effects of animal behavior with high resolution at the nanoscale, enabling the analysis of the metabolic effects of behavior on individual cells. In this review we summarize and present these emerging methods, beginning with an overview of the SIMS technique. We then discuss the specific application of nanoscale SIMS (NanoSIMS) to examine cell behavior. This often requires the use of isotope labeling to highlight specific sections of the cell for analysis, an approach that is presented at length in this review article. We also present SIMS applications concerning animal and cell behavior, from development and aging to changes in the cellular activity programs. We conclude that the emerging group of SIMS technologies represents an exciting set of tools for the study of animal behavior and of its effects on internal metabolism at the smallest possible scales.
Collapse
Affiliation(s)
- Elisa A. Bonnin
- Department of Neuro- and Sensory Physiology, Excellence Cluster Multiscale Bioimaging, University Medical Center Göttingen, Göttingen, Germany
- Center for Biostructural Imaging of Neurodegeneration (BIN), University Medical Center Göttingen, Göttingen, Germany
| | - Silvio O. Rizzoli
- Department of Neuro- and Sensory Physiology, Excellence Cluster Multiscale Bioimaging, University Medical Center Göttingen, Göttingen, Germany
- Center for Biostructural Imaging of Neurodegeneration (BIN), University Medical Center Göttingen, Göttingen, Germany
| |
Collapse
|
16
|
Verbeeck N, Caprioli RM, Van de Plas R. Unsupervised machine learning for exploratory data analysis in imaging mass spectrometry. MASS SPECTROMETRY REVIEWS 2020; 39:245-291. [PMID: 31602691 PMCID: PMC7187435 DOI: 10.1002/mas.21602] [Citation(s) in RCA: 103] [Impact Index Per Article: 25.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/01/2017] [Accepted: 08/27/2018] [Indexed: 05/20/2023]
Abstract
Imaging mass spectrometry (IMS) is a rapidly advancing molecular imaging modality that can map the spatial distribution of molecules with high chemical specificity. IMS does not require prior tagging of molecular targets and is able to measure a large number of ions concurrently in a single experiment. While this makes it particularly suited for exploratory analysis, the large amount and high-dimensional nature of data generated by IMS techniques make automated computational analysis indispensable. Research into computational methods for IMS data has touched upon different aspects, including spectral preprocessing, data formats, dimensionality reduction, spatial registration, sample classification, differential analysis between IMS experiments, and data-driven fusion methods to extract patterns corroborated by both IMS and other imaging modalities. In this work, we review unsupervised machine learning methods for exploratory analysis of IMS data, with particular focus on (a) factorization, (b) clustering, and (c) manifold learning. To provide a view across the various IMS modalities, we have attempted to include examples from a range of approaches including matrix assisted laser desorption/ionization, desorption electrospray ionization, and secondary ion mass spectrometry-based IMS. This review aims to be an entry point for both (i) analytical chemists and mass spectrometry experts who want to explore computational techniques; and (ii) computer scientists and data mining specialists who want to enter the IMS field. © 2019 The Authors. Mass Spectrometry Reviews published by Wiley Periodicals, Inc. Mass SpecRev 00:1-47, 2019.
Collapse
Affiliation(s)
- Nico Verbeeck
- Delft Center for Systems and ControlDelft University of Technology ‐ TU DelftDelftThe Netherlands
- Aspect Analytics NVGenkBelgium
- STADIUS Center for Dynamical Systems, Signal Processing, and Data Analytics, Department of Electrical Engineering (ESAT)KU LeuvenLeuvenBelgium
| | - Richard M. Caprioli
- Mass Spectrometry Research CenterVanderbilt UniversityNashvilleTN
- Department of BiochemistryVanderbilt UniversityNashvilleTN
- Department of ChemistryVanderbilt UniversityNashvilleTN
- Department of PharmacologyVanderbilt UniversityNashvilleTN
- Department of MedicineVanderbilt UniversityNashvilleTN
| | - Raf Van de Plas
- Delft Center for Systems and ControlDelft University of Technology ‐ TU DelftDelftThe Netherlands
- Mass Spectrometry Research CenterVanderbilt UniversityNashvilleTN
- Department of BiochemistryVanderbilt UniversityNashvilleTN
| |
Collapse
|
17
|
Bioinformatics Methods for Mass Spectrometry-Based Proteomics Data Analysis. Int J Mol Sci 2020; 21:ijms21082873. [PMID: 32326049 PMCID: PMC7216093 DOI: 10.3390/ijms21082873] [Citation(s) in RCA: 114] [Impact Index Per Article: 28.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/18/2020] [Revised: 04/16/2020] [Accepted: 04/18/2020] [Indexed: 01/15/2023] Open
Abstract
Recent advances in mass spectrometry (MS)-based proteomics have enabled tremendous progress in the understanding of cellular mechanisms, disease progression, and the relationship between genotype and phenotype. Though many popular bioinformatics methods in proteomics are derived from other omics studies, novel analysis strategies are required to deal with the unique characteristics of proteomics data. In this review, we discuss the current developments in the bioinformatics methods used in proteomics and how they facilitate the mechanistic understanding of biological processes. We first introduce bioinformatics software and tools designed for mass spectrometry-based protein identification and quantification, and then we review the different statistical and machine learning methods that have been developed to perform comprehensive analysis in proteomics studies. We conclude with a discussion of how quantitative protein data can be used to reconstruct protein interactions and signaling networks.
Collapse
|
18
|
Moon DW, Park YH, Lee SY, Lim H, Kwak S, Kim MS, Kim H, Kim E, Jung Y, Hoe HS, Kim S, Lim DK, Kim CH, In SI. Multiplex Protein Imaging with Secondary Ion Mass Spectrometry Using Metal Oxide Nanoparticle-Conjugated Antibodies. ACS APPLIED MATERIALS & INTERFACES 2020; 12:18056-18064. [PMID: 32073828 DOI: 10.1021/acsami.9b21800] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
In spite of recent developments in mass spectrometry imaging techniques, high-resolution multiplex protein bioimaging techniques are required to unveil the complex inter- and intracellular biomolecular interactions for accurate understanding of life phenomena and disease mechanisms. Herein, we report multiplex protein imaging with secondary ion mass spectrometry (SIMS) using metal oxide nanoparticle (MONP)-conjugated antibodies with <300 nm spatial resolution in the low ion dose without ion beam damage because of the high secondary ion yields of the MONPs, which can provide simultaneous imaging of several proteins, especially from cell membranes. We applied our new imaging technique for the study of hippocampal tissue samples from control and Alzheimer's disease (AD) model mice; the proximity of protein clusters in the hippocampus CA1 region showed intriguing dependence on aging and AD progress, suggesting that protein cluster proximity may be helpful for understanding pathological pathways in the microscopic cellular level.
Collapse
Affiliation(s)
- Dae Won Moon
- Department of New Biology, DGIST, Daegu 42988, Republic of Korea
| | - Young Ho Park
- Department of Energy Science and Engineering, DGIST, Daegu 42988, Republic of Korea
| | - Sun Young Lee
- Department of New Biology, DGIST, Daegu 42988, Republic of Korea
| | - Heejin Lim
- Department of New Biology, DGIST, Daegu 42988, Republic of Korea
| | - SuHwa Kwak
- Department of Computer Science and Engineering, POSTECH, Pohang 37673, Republic of Korea
| | - Minseok S Kim
- Department of New Biology, DGIST, Daegu 42988, Republic of Korea
| | - Hyunmin Kim
- Companion Diagnostics and Medical Technology Research Group, DGIST, Daegu 42988, Republic of Korea
| | - Eunjoo Kim
- Companion Diagnostics and Medical Technology Research Group, DGIST, Daegu 42988, Republic of Korea
| | - Yebin Jung
- Department of Chemistry, POSTECH, Pohang 37673, Republic of Korea
| | - Hyang-Sook Hoe
- Department of Neural Development and Disease, Korea Brain Research Institute (KBRI), 61, Cheomdan-ro, Dong-gu, Daegu 41068, Republic of Korea
| | - Sungjee Kim
- Department of Chemistry, POSTECH, Pohang 37673, Republic of Korea
| | - Dong-Kwon Lim
- KU-KIST Graduate School of Converging Science and Technology, Korea University, 145 Anam-ro, Seongbuk-gu, Seoul 02841, Republic of Korea
| | - Chul-Hoon Kim
- Department of Pharmacology, Yonsei University College of Medicine, Seoul 03722, Korea
| | - Su-Il In
- Department of Energy Science and Engineering, DGIST, Daegu 42988, Republic of Korea
| |
Collapse
|
19
|
Guo M, Song H, Li K, Ma M, Liu Y, Fu Q, He Z. A new approach to developing diagnostics and therapeutics: Aggregation-induced emission-based fluorescence turn-on. Med Res Rev 2019; 40:27-53. [PMID: 31070260 DOI: 10.1002/med.21595] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2019] [Revised: 03/21/2019] [Accepted: 04/18/2019] [Indexed: 02/06/2023]
Abstract
Fluorescence imaging is a promising visualization tool and possesses the advantages of in situ response and facile operation; thus, it is widely exploited for bioassays. However, traditional fluorophores suffer from concentration limits because they are always quenched when they aggregate, which impedes applications, especially for trace analysis and real-time monitoring. Recently, novel molecules with aggregation-induced emission (AIE) characteristics were developed to solve the problems encountered when using traditional organic dyes, because these new molecules exhibit weak or even no fluorescence when they are in free movement states but emit intensely upon the restriction of intramolecular motions. Inspired by the excellent performances of AIE molecules, a substantial number of AIE-based probes have been designed, synthesized, and applied to various fields to fulfill diverse detection tasks. According to numerous experiments, AIE probes are more practical than traditional fluorescent probes, especially when used in bioassays. To bridge bioimaging and materials engineering, this review provides a comprehensive understanding of the development of AIE bioprobes. It begins with a summary of mechanisms of the AIE phenomenon. Then, the strategies to realize accurate detection using AIE probes are discussed. In addition, typical examples of AIE-active materials applied in diagnosis, treatment, and nanocarrier tracking are presented. In addition, some challenges are put forward to inspire more ideas in the promising field of AIE-active materials.
Collapse
Affiliation(s)
- Meichen Guo
- Wuya College of Innovation, Shenyang Pharmaceutical University, Shenyang, China
| | - Hang Song
- Wuya College of Innovation, Shenyang Pharmaceutical University, Shenyang, China
| | - Kai Li
- Wuya College of Innovation, Shenyang Pharmaceutical University, Shenyang, China
| | - Minchao Ma
- Wuya College of Innovation, Shenyang Pharmaceutical University, Shenyang, China
| | - Yang Liu
- School of Pharmaceutical Engineering, Shenyang Pharmaceutical University, Shenyang, China
| | - Qiang Fu
- Wuya College of Innovation, Shenyang Pharmaceutical University, Shenyang, China
| | - Zhonggui He
- Wuya College of Innovation, Shenyang Pharmaceutical University, Shenyang, China
| |
Collapse
|
20
|
Differential lipid composition and regulation along the hippocampal longitudinal axis. Transl Psychiatry 2019; 9:144. [PMID: 31028243 PMCID: PMC6486574 DOI: 10.1038/s41398-019-0478-6] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/12/2018] [Accepted: 04/02/2019] [Indexed: 01/16/2023] Open
Abstract
Lipids are major constituents of the brain largely implicated in physiological and pathological processes. The hippocampus is a complex brain structure involved in learning, memory and emotional responses, and its functioning is also affected in various disorders. Despite conserved intrinsic circuitry, behavioral and anatomical studies suggest the existence of a structural and functional gradient along the hippocampal longitudinal axis. Here, we used an unbiased mass spectrometry approach to characterize the lipid composition of distinct hippocampal subregions. In addition, we evaluated the susceptibility of each area to lipid modulation by corticosterone (CORT), an important mediator of the effects of stress. We confirmed a great similarity between hippocampal subregions relatively to other brain areas. Moreover, we observed a continuous molecular gradient along the longitudinal axis of the hippocampus, with the dorsal and ventral extremities differing significantly from each other, particularly in the relative abundance of sphingolipids and phospholipids. Also, whereas chronic CORT exposure led to remodeling of triacylglycerol and phosphatidylinositol species in both hippocampal poles, our study suggests that the ventral hippocampus is more sensitive to CORT-induced changes, with regional modulation of ceramide, dihydrosphingomyelin and phosphatidic acid. Thus, our results confirm a multipartite molecular view of dorsal-ventral hippocampal axis and emphasize lipid metabolites as candidate effectors of glucocorticoid signaling, mediating regional susceptibility to neurological disorders associated with stress.
Collapse
|
21
|
Abdelmoula WM, Regan MS, Lopez BGC, Randall EC, Lawler S, Mladek AC, Nowicki MO, Marin BM, Agar JN, Swanson KR, Kapur T, Sarkaria JN, Wells W, Agar NYR. Automatic 3D Nonlinear Registration of Mass Spectrometry Imaging and Magnetic Resonance Imaging Data. Anal Chem 2019; 91:6206-6216. [PMID: 30932478 DOI: 10.1021/acs.analchem.9b00854] [Citation(s) in RCA: 36] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Multimodal integration between mass spectrometry imaging (MSI) and radiology-established modalities such as magnetic resonance imaging (MRI) would allow the investigations of key questions in complex biological systems such as the central nervous system. Such integration would provide complementary multiscale data to bridge the gap between molecular and anatomical phenotypes, potentially revealing new insights into molecular mechanisms underlying anatomical pathologies presented on MRI. Automatic coregistration between 3D MSI/MRI is a computationally challenging process due to dimensional complexity, MSI data sparsity, lack of direct spatial-correspondences, and nonlinear tissue deformation. Here, we present a new computational approach based on stochastic neighbor embedding to nonlinearly align 3D MSI to MRI data, identify and reconstruct biologically relevant molecular patterns in 3D, and fuse the MSI datacube to the MRI space. We demonstrate our method using multimodal high-spectral resolution matrix-assisted laser desorption ionization (MALDI) 9.4 T MSI and 7 T in vivo MRI data, acquired from a patient-derived, xenograft mouse brain model of glioblastoma following administration of the EGFR inhibitor drug of Erlotinib. Results show the distribution of some identified molecular ions of the EGFR inhibitor erlotinib, a phosphatidylcholine lipid, and cholesterol, which were reconstructed in 3D and mapped to the MRI space. The registration quality was evaluated on two normal mouse brains using the Dice coefficient for the regions of brainstem, hippocampus, and cortex. The method is generic and can therefore be applied to hyperspectral images from different mass spectrometers and integrated with other established in vivo imaging modalities such as computed tomography (CT) and positron emission tomography (PET).
Collapse
Affiliation(s)
- Walid M Abdelmoula
- Department of Neurosurgery, Brigham and Women's Hospital , Harvard Medical School , Boston , Massachusetts 02115 , United States
| | - Michael S Regan
- Department of Neurosurgery, Brigham and Women's Hospital , Harvard Medical School , Boston , Massachusetts 02115 , United States
| | - Begona G C Lopez
- Department of Neurosurgery, Brigham and Women's Hospital , Harvard Medical School , Boston , Massachusetts 02115 , United States
| | - Elizabeth C Randall
- Department of Radiology, Brigham and Women's Hospital , Harvard Medical School , Boston , Massachusetts 02115 , United States
| | - Sean Lawler
- Department of Neurosurgery, Brigham and Women's Hospital , Harvard Medical School , Boston , Massachusetts 02115 , United States
| | - Ann C Mladek
- Department of Radiation Oncology , Mayo Clinic , 200 First Street SW , Rochester , Minnesota 55902 , United States
| | - Michal O Nowicki
- Department of Neurosurgery, Brigham and Women's Hospital , Harvard Medical School , Boston , Massachusetts 02115 , United States
| | - Bianca M Marin
- Department of Radiation Oncology , Mayo Clinic , 200 First Street SW , Rochester , Minnesota 55902 , United States
| | - Jeffrey N Agar
- Department of Chemistry and Chemical Biology , Northeastern University , 412 TF (140 The Fenway) , Boston , Massachusetts 02111 , United States
| | - Kristin R Swanson
- Mathematical NeuroOncology Lab, Department of Neurosurgery , Mayo Clinic , 5777 East Mayo Boulevard , Phoenix , Arizona 85054 , United States
| | - Tina Kapur
- Department of Radiology, Brigham and Women's Hospital , Harvard Medical School , Boston , Massachusetts 02115 , United States
| | - Jann N Sarkaria
- Department of Radiation Oncology , Mayo Clinic , 200 First Street SW , Rochester , Minnesota 55902 , United States
| | - William Wells
- Department of Radiology, Brigham and Women's Hospital , Harvard Medical School , Boston , Massachusetts 02115 , United States.,Computer Science and Artificial Intelligence Laboratory , Massachusetts Institute of Technology , Cambridge , Massachusetts 02139 , United States
| | - Nathalie Y R Agar
- Department of Neurosurgery, Brigham and Women's Hospital , Harvard Medical School , Boston , Massachusetts 02115 , United States.,Department of Radiology, Brigham and Women's Hospital , Harvard Medical School , Boston , Massachusetts 02115 , United States.,Department of Cancer Biology, Dana-Farber Cancer Institute , Harvard Medical School , Boston , Massachusetts 02115 , United States
| |
Collapse
|
22
|
Hanrieder J, Zetterberg H, Blennow K. MALDI Imaging Mass Spectrometry: Neurochemical Imaging of Proteins and Peptides. NEUROMETHODS 2019. [DOI: 10.1007/978-1-4939-9662-9_15] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
|
23
|
Xu G, Li J. Recent advances in mass spectrometry imaging for multiomics application in neurology. J Comp Neurol 2018; 527:2158-2169. [DOI: 10.1002/cne.24571] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/10/2018] [Revised: 10/14/2018] [Accepted: 10/24/2018] [Indexed: 12/12/2022]
Affiliation(s)
- Guang Xu
- Hubei Education Cloud Service Engineering Technology Research CenterHubei University of Education Wuhan China
| | - Jianjun Li
- Human Health TherapeuticsNational Research Council Canada Ottawa Ontario
| |
Collapse
|
24
|
Maganti RJ, Hronowski XL, Dunstan RW, Wipke BT, Zhang X, Jandreski L, Hamann S, Juhasz P. Defining Changes in the Spatial Distribution and Composition of Brain Lipids in the Shiverer and Cuprizone Mouse Models of Myelin Disease. J Histochem Cytochem 2018; 67:203-219. [PMID: 30501365 PMCID: PMC6393840 DOI: 10.1369/0022155418815860] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Myelin is composed primarily of lipids and diseases affecting myelin are associated with alterations in its lipid composition. However, correlation of the spatial (in situ) distribution of lipids with the disease-associated compositional and morphological changes is not well defined. Herein we applied high resolution matrix-assisted laser desorption ionization imaging mass spectrometry (MALDI-IMS), immunohistochemistry (IHC), and liquid chromatography–electrospray ionization–mass spectrometry (LC-ESI-MS) to evaluate brain lipid alterations in the dysmyelinating shiverer (Shi) mouse and cuprizone (Cz) mouse model of reversible demyelination. MALDI-IMS revealed a decrease in the spatial distribution of sulfatide (SHexCer) species, SHexCer (d42:2), and a phosphatidylcholine (PC) species, PC (36:1), in white matter regions like corpus callosum (CC) both in the Shi mouse and Cz mouse model. Changes in these lipid species were restored albeit not entirely upon spontaneous remyelination after demyelination in the Cz mouse model. Lipid distribution changes correlated with the local morphological changes as confirmed by IHC. LC-ESI-MS analyses of CC extracts confirmed the MALDI-IMS derived reductions in SHexCer and PC species. These findings highlight the role of SHexCer and PC in preserving the normal myelin architecture and our experimental approaches provide a morphological basis to define lipid abnormalities relevant to myelin diseases.
Collapse
Affiliation(s)
| | | | - Robert W Dunstan
- Biogen, Cambridge, Massachusetts.,AbbVie, Worcester, Massachusetts
| | | | | | | | | | | |
Collapse
|
25
|
Rzagalinski I, Hainz N, Meier C, Tschernig T, Volmer DA. Spatial and molecular changes of mouse brain metabolism in response to immunomodulatory treatment with teriflunomide as visualized by MALDI-MSI. Anal Bioanal Chem 2018; 411:353-365. [PMID: 30417265 DOI: 10.1007/s00216-018-1444-5] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2018] [Revised: 10/05/2018] [Accepted: 10/22/2018] [Indexed: 12/30/2022]
Abstract
Multiple sclerosis (MS) is an immune-mediated neurodegenerative disease of the central nervous system (CNS). One of the most promising recent medications for MS is teriflunomide. Its primary mechanism of action is linked to effects on the peripheral immune system by inhibiting dihydroorotate dehydrogenase (DHODH)-catalyzed de novo pyrimidine synthesis and reducing the expansion of lymphocytes in the peripheral immune system. Some in vitro studies suggested, however, that it can also have a direct effect on the CNS compartment. This potential alternative mode of action depends on the drug's capacity to traverse the blood-brain barrier (BBB) and to exert an effect on the complex network of brain biochemical pathways. In this paper, we demonstrate the application of high-resolution/high-accuracy matrix-assisted laser desorption/ionization Fourier-transform ion cyclotron resonance mass spectrometry for molecular imaging of the mouse brain coronal sections from animals treated with teriflunomide. Specifically, in order to assess the effect of teriflunomide on the mouse CNS compartment, we investigated the feasibility of teriflunomide to traverse the BBB. Secondly, we systematically evaluated the spatial and semi-quantitative brain metabolic profiles of 24 different endogenous compounds after 4-day teriflunomide administration. Even though the drug was not detected in the examined cerebral sections (despite the high detection sensitivity of the developed method), in-depth study of the endogenous metabolic compartment revealed noticeable alterations as a result of teriflunomide administration compared to the control animals. The observed differences, particularly for purine and pyrimidine nucleotides as well as for glutathione and carbohydrate metabolism intermediates, shed some light on the potential impact of teriflunomide on the mouse brain metabolic networks. Graphical Abstract.
Collapse
Affiliation(s)
- Ignacy Rzagalinski
- Institute of Bioanalytical Chemistry, Saarland University, 66123, Saarbrücken, Germany
| | - Nadine Hainz
- Institute of Anatomy and Cell Biology, Saarland University, 66421, Homburg, Germany
| | - Carola Meier
- Institute of Anatomy and Cell Biology, Saarland University, 66421, Homburg, Germany
| | - Thomas Tschernig
- Institute of Anatomy and Cell Biology, Saarland University, 66421, Homburg, Germany
| | - Dietrich A Volmer
- Department of Chemistry, Humboldt University of Berlin, 12489, Berlin, Germany.
| |
Collapse
|
26
|
Michno W, Wehrli PM, Blennow K, Zetterberg H, Hanrieder J. Molecular imaging mass spectrometry for probing protein dynamics in neurodegenerative disease pathology. J Neurochem 2018; 151:488-506. [PMID: 30040875 DOI: 10.1111/jnc.14559] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2018] [Revised: 07/03/2018] [Accepted: 07/12/2018] [Indexed: 12/14/2022]
Abstract
Recent advances in the understanding of basic pathological mechanisms in various neurological diseases depend directly on the development of novel bioanalytical technologies that allow sensitive and specific chemical imaging at high resolution in cells and tissues. Mass spectrometry-based molecular imaging (IMS) has gained increasing popularity in biomedical research for mapping the spatial distribution of molecular species in situ. The technology allows for comprehensive, untargeted delineation of in situ distribution profiles of metabolites, lipids, peptides and proteins. A major advantage of IMS over conventional histochemical techniques is its superior molecular specificity. Imaging mass spectrometry has therefore great potential for probing molecular regulations in CNS-derived tissues and cells for understanding neurodegenerative disease mechanism. The goal of this review is to familiarize the reader with the experimental workflow, instrumental developments and methodological challenges as well as to give a concise overview of the major advances and recent developments and applications of IMS-based protein and peptide profiling with particular focus on neurodegenerative diseases. This article is part of the Special Issue "Proteomics".
Collapse
Affiliation(s)
- Wojciech Michno
- Department of Psychiatry and Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Patrick M Wehrli
- Department of Psychiatry and Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,Department of Neurodegenerative Disease, UCL Institute of Neurology, University College London, London, UK.,UK Dementia Research Institute at UCL, London, UK
| | - Jörg Hanrieder
- Department of Psychiatry and Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Department of Neurodegenerative Disease, UCL Institute of Neurology, University College London, London, UK.,Department of Chemistry and Chemical Engineering, Chalmers University of Technology, Gothenburg, Sweden
| |
Collapse
|
27
|
Michno W, Wehrli PM, Zetterberg H, Blennow K, Hanrieder J. GM1 locates to mature amyloid structures implicating a prominent role for glycolipid-protein interactions in Alzheimer pathology. BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS 2018; 1867:458-467. [PMID: 30273679 DOI: 10.1016/j.bbapap.2018.09.010] [Citation(s) in RCA: 30] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2018] [Revised: 09/10/2018] [Accepted: 09/25/2018] [Indexed: 12/31/2022]
Abstract
While the molecular mechanisms underlying Alzheimer's disease (AD) remain largely unknown, abnormal accumulation and deposition of beta amyloid (Aβ) peptides into plaques has been proposed as a critical pathological process driving disease progression. Over the last years, neuronal lipid species have been implicated in biological mechanisms underlying amyloid plaque pathology. While these processes comprise genetic features along with lipid signaling as well as direct chemical interaction of lipid species with Aβ mono- and oligomers, more efforts are needed to spatially delineate the exact lipid-Aβ plaque interactions in the brain. Chemical imaging using mass spectrometry (MS) allows to probe the spatial distribution of lipids and peptides in complex biological tissues comprehensively and at high molecular specificity. As different imaging mass spectrometry (IMS) modalities provide comprehensive molecular and spatial information, we here describe a multimodal ToF-SIMS- and MALDI-based IMS strategy for probing lipid and Aβ peptide changes in a transgenic mouse model of AD (tgAPPArcSwe). Both techniques identified a general AD-associated depletion of cortical sulfatides, while multimodal MALDI IMS revealed plaque specific lipid as well as Aβ peptide isoforms. In addition, MALDI IMS analysis revealed chemical features associated with morphological heterogeneity of individual Aβ deposits. Here, an altered GM1 to GM2/GM3 ganglioside metabolism was observed in the diffuse periphery of plaques but not in the core region. This was accompanied by an enrichment of Aβ1-40arc peptide at the core of these deposits. Finally, a localization of arachidonic acid (AA) conjugated phosphatidylinositols (PI) and their corresponding degradation product, lyso-phosphatidylinositols (LPI) to the periphery of Aβ plaques was observed, indicating site specific macrophage activation and ganglioside processing.
Collapse
Affiliation(s)
- Wojciech Michno
- Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Patrick M Wehrli
- Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden; Department of Neurodegenerative Disease, UCL Queen Square, Institute of Neurology, University College London, London, United Kingdom; UK Dementia Research Institute at UCL, London, United Kingdom
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Jörg Hanrieder
- Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden; Department of Neurodegenerative Disease, UCL Queen Square, Institute of Neurology, University College London, London, United Kingdom; Department of Chemistry and Chemical Engineering, Chalmers University of Technology, Gothenburg, Sweden.
| |
Collapse
|
28
|
Yoon S, Lee TG. Biological tissue sample preparation for time-of-flight secondary ion mass spectrometry (ToF-SIMS) imaging. NANO CONVERGENCE 2018; 5:24. [PMID: 30467706 PMCID: PMC6153193 DOI: 10.1186/s40580-018-0157-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Accepted: 09/05/2018] [Indexed: 05/03/2023]
Abstract
Time-of-flight secondary ion mass spectrometry (ToF-SIMS) imaging is an analytical technique rapidly expanding in use in biological studies. This technique is based on high spatial resolution (50-100 nm), high surface sensitivity (1-2 nm top-layer), and statistical analytic power. In mass spectrometry imaging (MSI), sample preparation is a crucial step to maintaining the natural state of the biomolecules and providing accurate spatial information. However, a number of problems associated with temperature changes in tissue samples such as loss of original distribution due to undesired molecular migration during the sample preparation or reduced ionization efficiency make it difficult to accurately perform MSI. Although frozen hydrate analysis is the ideal sample preparation method to eliminate the effects of temperature, this approach is hindered by mechanical limitations. Alternatively, an adhesive-tape-supported mounting and freeze-drying preparation has been proposed. This paper provides a concise review of the sample preparation procedures, a review of current issues, and proposes efficacious solutions for ToF-SIMS imaging in biological research.
Collapse
Affiliation(s)
- Sohee Yoon
- Center for Nano-Bio Measurement, Korea Research Institute of Standards and Science (KRISS), Daejeon, 34113 Republic of Korea
| | - Tae Geol Lee
- Center for Nano-Bio Measurement, Korea Research Institute of Standards and Science (KRISS), Daejeon, 34113 Republic of Korea
| |
Collapse
|
29
|
Harvey DJ. Analysis of carbohydrates and glycoconjugates by matrix-assisted laser desorption/ionization mass spectrometry: An update for 2013-2014. MASS SPECTROMETRY REVIEWS 2018; 37:353-491. [PMID: 29687922 DOI: 10.1002/mas.21530] [Citation(s) in RCA: 40] [Impact Index Per Article: 6.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2016] [Accepted: 11/29/2016] [Indexed: 06/08/2023]
Abstract
This review is the eighth update of the original article published in 1999 on the application of Matrix-assisted laser desorption/ionization mass spectrometry (MALDI) mass spectrometry to the analysis of carbohydrates and glycoconjugates and brings coverage of the literature to the end of 2014. Topics covered in the first part of the review include general aspects such as theory of the MALDI process, matrices, derivatization, MALDI imaging, fragmentation, and arrays. The second part of the review is devoted to applications to various structural types such as oligo- and poly- saccharides, glycoproteins, glycolipids, glycosides, and biopharmaceuticals. Much of this material is presented in tabular form. The third part of the review covers medical and industrial applications of the technique, studies of enzyme reactions, and applications to chemical synthesis. © 2018 Wiley Periodicals, Inc. Mass Spec Rev 37:353-491, 2018.
Collapse
Affiliation(s)
- David J Harvey
- Target Discovery Institute, Nuffield Department of Medicine, University of Oxford, Roosevelt Drive, Oxford, OX3 7FZ, United Kingdom
| |
Collapse
|
30
|
Gao X, Sun JZ, Tang BZ. Reaction-based AIE-active Fluorescent Probes for Selective Detection and Imaging. Isr J Chem 2018. [DOI: 10.1002/ijch.201800035] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Affiliation(s)
- Xiaoying Gao
- MOE Key Laboratory of Macromolecule Synthesis and Functionalization, Department of Polymer Science and Engineering; Zhejiang University; Hangzhou 310027 China
| | - Jing Zhi Sun
- MOE Key Laboratory of Macromolecule Synthesis and Functionalization, Department of Polymer Science and Engineering; Zhejiang University; Hangzhou 310027 China
| | - Ben Zhong Tang
- MOE Key Laboratory of Macromolecule Synthesis and Functionalization, Department of Polymer Science and Engineering; Zhejiang University; Hangzhou 310027 China
- Department of Chemistry, Division of Biomedical Engineering, Hong Kong Branch of Chinese National Engineering Research Center for Tissue Restoration and Reconstruction, State Key Laboratory of Molecular Neuroscience, Institute of Molecular Functional Materials, Division of Life Science; Hong Kong University of Science and Technology; Clear Water Bay Kowloon, Hong Kong China
| |
Collapse
|
31
|
Kaya I, Brinet D, Michno W, Başkurt M, Zetterberg H, Blenow K, Hanrieder J. Novel Trimodal MALDI Imaging Mass Spectrometry (IMS3) at 10 μm Reveals Spatial Lipid and Peptide Correlates Implicated in Aβ Plaque Pathology in Alzheimer's Disease. ACS Chem Neurosci 2017; 8:2778-2790. [PMID: 28925253 DOI: 10.1021/acschemneuro.7b00314] [Citation(s) in RCA: 77] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
Multimodal chemical imaging using matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) can provide comprehensive molecular information in situ within the same tissue sections. This is of relevance for studying different brain pathologies such as Alzheimer's disease (AD), where recent data suggest a critical relevance of colocalizing Aβ peptides and neuronal lipids. We here developed a novel trimodal, high-resolution (10 μm) MALDI imaging MS (IMS) paradigm for negative and positive ion mode lipid analysis and subsequent protein ion imaging on the same tissue section. Matrix sublimation of 1,5-diaminonaphthalene (1,5-DAN) enabled dual polarity lipid MALDI IMS on the same pixel points at high spatial resolutions (10 μm) and with high spectral quality. This was followed by 10 μm resolution protein imaging on the same measurement area, which allowed correlation of lipid signals with protein distribution patterns within distinct cerebellar regions in mouse brain. The demonstrated trimodal imaging strategy (IMS3) was further shown to be an efficient approach for simultaneously probing Aβ plaque-associated lipids and Aβ peptides within the hippocampus of 18 month-old transgenic AD mice (tgArcSwe). Here, IMS3 revealed a strong colocalization of distinct lipid species including ceramides, phosphatidylinositols, sulfatides (Cer 18:0, PI 38:4, ST 24:0) and lysophosphatidylcholines (LPC 16:0, LPC 18:0) with plaque-associated Aβ isoforms (Aβ 1-37, Aβ 1-38, Aβ 1-40). This highlights the potential of IMS3 as an alternative, superior approach to consecutively performed immuno-based Aβ staining strategies. Furthermore, the IMS3 workflow allowed for multimodal in situ MS/MS analysis of both lipids and Aβ peptides. Altogether, the here presented IMS3 approach shows great potential for comprehensive, high-resolution molecular analysis of histological features at cellular length scales with high chemical specificity. It therefore represents a powerful approach for probing the complex molecular pathology of, e.g., neurodegenerative diseases that are characterized by neurotoxic protein aggregation.
Collapse
Affiliation(s)
- Ibrahim Kaya
- Department
of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal Hospital, House V3, 43180 Mölndal, Sweden
| | - Dimitri Brinet
- Department
of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal Hospital, House V3, 43180 Mölndal, Sweden
- Department
of Chemistry and Molecular Biology, University of Gothenburg, Kemivägen
10, 405 30 Gothenburg, Sweden
| | - Wojciech Michno
- Department
of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal Hospital, House V3, 43180 Mölndal, Sweden
| | - Mehmet Başkurt
- Department
of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal Hospital, House V3, 43180 Mölndal, Sweden
- Department
of Chemistry, İzmir Institute of Technology, Urla 35430, İzmir, Turkey
| | - Henrik Zetterberg
- Department
of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal Hospital, House V3, 43180 Mölndal, Sweden
- Clinical
Neurochemistry Laboratory, Sahlgrenska University Hospital Mölndal, House V3, 43180 Mölndal, Sweden
- Department
of Molecular Neuroscience, Institute of Neurology, University College London, Queen Square, London WC1N
3BG, United Kingdom
- UK Dementia
Research Institute, University College London, London WC1N 3AR, United Kingdom
| | - Kaj Blenow
- Department
of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal Hospital, House V3, 43180 Mölndal, Sweden
- Clinical
Neurochemistry Laboratory, Sahlgrenska University Hospital Mölndal, House V3, 43180 Mölndal, Sweden
| | - Jörg Hanrieder
- Department
of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal Hospital, House V3, 43180 Mölndal, Sweden
- Clinical
Neurochemistry Laboratory, Sahlgrenska University Hospital Mölndal, House V3, 43180 Mölndal, Sweden
- Department
of Molecular Neuroscience, Institute of Neurology, University College London, Queen Square, London WC1N
3BG, United Kingdom
| |
Collapse
|
32
|
Kim JY, Seo ES, Kim H, Park JW, Lim DK, Moon DW. Atmospheric pressure mass spectrometric imaging of live hippocampal tissue slices with subcellular spatial resolution. Nat Commun 2017; 8:2113. [PMID: 29235455 PMCID: PMC5727394 DOI: 10.1038/s41467-017-02216-6] [Citation(s) in RCA: 37] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/04/2017] [Accepted: 11/14/2017] [Indexed: 12/03/2022] Open
Abstract
We report a high spatial resolution mass spectrometry (MS) system that allows us to image live hippocampal tissue slices under open-air atmospheric pressure (AP) and ambient temperature conditions at the subcellular level. The method is based on an efficient desorption process by femtosecond (fs) laser assisted with nanoparticles and a subsequent ionization step by applying nonthermal plasma, termed AP nanoparticle and plasma assisted laser desorption ionization (AP-nanoPALDI) MS method. Combining the AP-nanoPALDI with microscopic sample scanning, MS imaging with spatial resolution of 2.9 µm was obtained. The observed AP-nanoPALDI MS imaging clearly revealed the differences of molecular composition between the apical and basal dendrite regions of a hippocampal tissue. In addition, the AP-nanoPALDI MS imaging showed the decrease of cholesterol in hippocampus by treating with methyl β-cyclodextrin, which exemplifies the potential of AP-nanoPALDI for live tissue imaging for various biomedical applications without any chemical pretreatment and/or labeling process. Ambient mass spectrometry-based approaches have found application in biology and medicine. Here the authors report a mass spectrometric imaging method (ambient nanoPALDI) for live hippocampal tissues, based on gold nanorodassisted femtosecond laser desorption and subsequent non-thermal plasma induced ionization.
Collapse
Affiliation(s)
- Jae Young Kim
- Department of New Biology, DGIST, Daegu, 42988, Republic of Korea
| | - Eun Seok Seo
- Department of New Biology, DGIST, Daegu, 42988, Republic of Korea
| | - Hyunmin Kim
- Companion Diagnostics and Medical Technology Research Group, DGIST, Daegu, 42988, Republic of Korea
| | - Ji-Won Park
- Graduate School of Analytical Science and Technology (GRAST), Chungnam National University, Daejeon, 34134, Republic of Korea
| | - Dong-Kwon Lim
- KU-KIST Graduate School of Converging Science and Technology, Korea University, Seoul, 02841, Republic of Korea
| | - Dae Won Moon
- Department of New Biology, DGIST, Daegu, 42988, Republic of Korea.
| |
Collapse
|
33
|
Hosp F, Mann M. A Primer on Concepts and Applications of Proteomics in Neuroscience. Neuron 2017; 96:558-571. [DOI: 10.1016/j.neuron.2017.09.025] [Citation(s) in RCA: 51] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2017] [Revised: 08/29/2017] [Accepted: 09/14/2017] [Indexed: 02/06/2023]
|
34
|
Monitoring changes of docosahexaenoic acid-containing lipids during the recovery process of traumatic brain injury in rat using mass spectrometry imaging. Sci Rep 2017; 7:5054. [PMID: 28698592 PMCID: PMC5506011 DOI: 10.1038/s41598-017-05446-2] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2017] [Accepted: 05/30/2017] [Indexed: 01/13/2023] Open
Abstract
Brain lipid homoeostasis is critical during recovery process after traumatic brain injury (TBI). In this study, we integrated liquid extraction and electrosonic spray ionization technology to develop an ionization device coupled with a Fourier transform ion cyclotron resonance mass spectrometer for imaging of docosahexaenoic acid (DHA)-containing lipids on rat brain tissues. The ion images of the brain tissue sections from the normal rats and the rats after TBI at acute phase (0 and 1 day) and chronic phase (3, 5, and 7 days) were obtained. The imaging results indicate that the levels of DHA and lyso-phosphatidylethanolamine (22:6) in the injury area of TBI rats increased significantly at the acute phase and subsequently decreased at the chronic phase. But the levels of DHA-containing phospholipids including phosphatidylethanolamine (PE)(P-18:0/22:6), PE(18:0/22:6), and phosphatidylserine (18:0/22:6) decreased at the acute phase and gradually increased at the chronic phase in the injury area accompanied by the morphogenesis and wound healing. These findings indicate that the DHA may participate in the recovery process of brain injury. This is the first report to in situ detect the changes in the levels of DHA and DHA-containing lipids in the TBI model.
Collapse
|
35
|
Mahfouz A, Huisman SMH, Lelieveldt BPF, Reinders MJT. Brain transcriptome atlases: a computational perspective. Brain Struct Funct 2017; 222:1557-1580. [PMID: 27909802 PMCID: PMC5406417 DOI: 10.1007/s00429-016-1338-2] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2016] [Accepted: 11/15/2016] [Indexed: 01/31/2023]
Abstract
The immense complexity of the mammalian brain is largely reflected in the underlying molecular signatures of its billions of cells. Brain transcriptome atlases provide valuable insights into gene expression patterns across different brain areas throughout the course of development. Such atlases allow researchers to probe the molecular mechanisms which define neuronal identities, neuroanatomy, and patterns of connectivity. Despite the immense effort put into generating such atlases, to answer fundamental questions in neuroscience, an even greater effort is needed to develop methods to probe the resulting high-dimensional multivariate data. We provide a comprehensive overview of the various computational methods used to analyze brain transcriptome atlases.
Collapse
Affiliation(s)
- Ahmed Mahfouz
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
- Delft Bioinformatics Laboratory, Delft University of Technology, Delft, The Netherlands.
| | - Sjoerd M H Huisman
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
- Delft Bioinformatics Laboratory, Delft University of Technology, Delft, The Netherlands
| | - Boudewijn P F Lelieveldt
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
- Delft Bioinformatics Laboratory, Delft University of Technology, Delft, The Netherlands
| | - Marcel J T Reinders
- Delft Bioinformatics Laboratory, Delft University of Technology, Delft, The Netherlands
| |
Collapse
|
36
|
Wu Q, Chu JL, Rubakhin SS, Gillette MU, Sweedler JV. Dopamine-modified TiO 2 monolith-assisted LDI MS imaging for simultaneous localization of small metabolites and lipids in mouse brain tissue with enhanced detection selectivity and sensitivity. Chem Sci 2017; 8:3926-3938. [PMID: 28553535 PMCID: PMC5433501 DOI: 10.1039/c7sc00937b] [Citation(s) in RCA: 59] [Impact Index Per Article: 8.4] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2017] [Accepted: 03/14/2017] [Indexed: 12/03/2022] Open
Abstract
Localization of metabolites using multiplexed mass spectrometry imaging (MSI) provides important chemical information for biological research. In contrast to matrix-assisted laser desorption/ionization (MALDI), TiO2-assisted laser desorption/ionization (LDI) for MSI improves detection of low molecular mass metabolites (<500 Da) by reducing matrix background. However, the low UV absorption of TiO2 nanoparticles and their ester hydrolysis catalytic activity hinder the detection of phospholipids and many low-abundance molecules. To address these challenges, we evaluated and optimized the material morphology and composition of TiO2. Dopamine (DA) was found to be an efficient ligand for TiO2, resulting in increased UV light absorption, higher surface pH, and formation of monolithic TiO2-DA structures. The sub-micron scale and higher surface pH of the TiO2 particle sizes led to improved detection of phospholipid signals. Compared to unmodified TiO2 sub-micron particles, the DA-modified TiO2 monolith led to 10- to 30-fold increases in the signal-to-noise ratios of a number of compound peaks. The TiO2-DA monolith-assisted LDI MSI approach has higher selectivity and sensitivity for Lewis basic compounds, such as fatty acids, cholesterols, ceramides, diacylglycerols, and phosphatidylethanolamine, when analyzed in positive mode, than traditional MALDI MS. Using this new method, over 100 molecules, including amino acids, alkaloids, free fatty acids, peptides, and lipids, were localized in mouse brain sections. By comparing the presence and localization of those molecules in young and old mouse brains, the approach demonstrated good performance in the determination of aging-related neurochemical changes in the brain.
Collapse
Affiliation(s)
- Qian Wu
- Department of Chemistry , University of Illinois at Urbana-Champaign , 600 S. Mathews Ave, 63-5 , Urbana , Illinois 61801 , USA .
- Beckman Institute , University of Illinois at Urbana-Champaign , 405 N. Mathews Ave, 63-5 , Urbana , Illinois 61801 , USA
| | - James L Chu
- Department of Cell and Developmental Biology , University of Illinois at Urbana-Champaign , Urbana , Illinois 61801 , USA
| | - Stanislav S Rubakhin
- Department of Chemistry , University of Illinois at Urbana-Champaign , 600 S. Mathews Ave, 63-5 , Urbana , Illinois 61801 , USA .
- Beckman Institute , University of Illinois at Urbana-Champaign , 405 N. Mathews Ave, 63-5 , Urbana , Illinois 61801 , USA
| | - Martha U Gillette
- Department of Cell and Developmental Biology , University of Illinois at Urbana-Champaign , Urbana , Illinois 61801 , USA
- Beckman Institute , University of Illinois at Urbana-Champaign , 405 N. Mathews Ave, 63-5 , Urbana , Illinois 61801 , USA
| | - Jonathan V Sweedler
- Department of Chemistry , University of Illinois at Urbana-Champaign , 600 S. Mathews Ave, 63-5 , Urbana , Illinois 61801 , USA .
- Beckman Institute , University of Illinois at Urbana-Champaign , 405 N. Mathews Ave, 63-5 , Urbana , Illinois 61801 , USA
| |
Collapse
|
37
|
Tolbert AK, Yoo CG, Ragauskas AJ. Understanding the Changes to Biomass Surface Characteristics after Ammonia and Organosolv Pretreatments by Using Time-of-Flight Secondary-Ion Mass Spectrometry (TOF-SIMS). Chempluschem 2017; 82:686-690. [PMID: 31961521 DOI: 10.1002/cplu.201700138] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2017] [Indexed: 11/08/2022]
Abstract
Surface characteristic changes to poplar after ammonia and organosolv pretreatments were investigated by means of time-of-flight secondary-ion mass spectrometry (TOF-SIMS) analysis. Whereas normalized total polysaccharides and lignin contents on the surface differed from bulk chemical compositions, the surface cellulose ions detected by TOF-SIMS showed the same value trend as the cellulose content in the biomass. In addition, the lignin syringyl/guaiacyl ratio according to TOF-SIMS results showed the same trend as the ratio measured by means of NMR spectroscopic analysis, even though the ratio scales for each method were different. A similar correlation was determined between the surface cellulose and glucose release after enzymatic hydrolysis. These results demonstrate that surface characterization using TOF-SIMS can provide important information about the effects of pretreatment on biomass properties and its hydrolysis.
Collapse
Affiliation(s)
- Allison K Tolbert
- School of Chemistry and Biochemistry & Renewable Bioproducts Institute, Georgia Institute of Technology, Atlanta, GA, 30332, USA.,BioEnergy Science Center (BESC), Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37830, USA
| | - Chang Geun Yoo
- BioEnergy Science Center (BESC), Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37830, USA.,UT-ORNL Joint Institute of Biological Science, Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA
| | - Arthur J Ragauskas
- BioEnergy Science Center (BESC), Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37830, USA.,UT-ORNL Joint Institute of Biological Science, Biosciences Division, Oak Ridge National Laboratory, Oak Ridge, TN, 37831, USA.,Department of Chemical and Biomolecular Engineering, University of Tennessee, Knoxville, TN, 37996, USA.,Center of Renewable Carbon, Department of Forestry, Wildlife, and Fisheries, University of Tennessee Institute of Agriculture, Knoxville, TN, 37996, USA
| |
Collapse
|
38
|
Kaya I, Michno W, Brinet D, Iacone Y, Zanni G, Blennow K, Zetterberg H, Hanrieder J. Histology-Compatible MALDI Mass Spectrometry Based Imaging of Neuronal Lipids for Subsequent Immunofluorescent Staining. Anal Chem 2017; 89:4685-4694. [PMID: 28318232 DOI: 10.1021/acs.analchem.7b00313] [Citation(s) in RCA: 50] [Impact Index Per Article: 7.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
Matrix-assisted laser desorption/ionization imaging mass spectrometry (MALDI-IMS) enables acquisition of spatial distribution maps for molecular species in situ. This can provide comprehensive insights on the pathophysiology of different diseases. However, current sample preparation and MALDI-IMS acquisition methods have limitations in preserving molecular and histological tissue morphology, resulting in interfered correspondence of MALDI-IMS data with subsequently acquired immunofluorescent staining results. We here investigated the histology compatibility of MALDI-IMS to image neuronal lipids in rodent brain tissue with subsequent immunohistochemistry and fluorescent staining of histological features. This was achieved by sublimation of a low ionization energy matrix compound, 1,5-diaminonapthalene (1,5-DAN), minimizing the number of low-energy laser shots. This yielded improved lipid spectral quality and speed of data acquisition and reduced matrix cluster formation along with preservation of specific histological information at cellular levels. This gentle, histology-compatible MALDI-IMS protocol also diminished thermal effects and mechanical stress created during nanosecond laser ablation processes that were prominent in subsequent immunofluorescent staining images but not with classical hematoxylin and eosin (H&E) staining on the same tissue section. Furthermore, this methodology proved to be a powerful strategy for investigating β-amyloid (Aβ) plaque-associated neuronal lipids as exemplified by performing high-resolution MALDI-IMS with subsequent fluorescent amyloid staining in a transgenic mouse model of Alzheimer's disease (tgSwe).
Collapse
Affiliation(s)
- Ibrahim Kaya
- Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg , 431 80 Mölndal, Sweden
| | - Wojciech Michno
- Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg , 431 80 Mölndal, Sweden
| | - Dimitri Brinet
- Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg , 431 80 Mölndal, Sweden.,Department of Chemistry and Molecular Biology, University of Gothenburg , 412 96 Gothenburg, Sweden
| | - Yasmine Iacone
- Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg , 431 80 Mölndal, Sweden
| | - Giulia Zanni
- Karolinska Institute, Department of Women's and Children's Health, Karolinska University Hospital , 171 76 Stockholm, Sweden
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg , 431 80 Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital , 431 80 Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg , 431 80 Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital , 431 80 Mölndal, Sweden.,Department of Molecular Neuroscience, UCL Institute of Neurology, University College London , London, WC1N 3BG, United Kingdom
| | - Jörg Hanrieder
- Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg , 431 80 Mölndal, Sweden.,Department of Molecular Neuroscience, UCL Institute of Neurology, University College London , London, WC1N 3BG, United Kingdom
| |
Collapse
|
39
|
Verbeeck N, Spraggins JM, Murphy MJM, Wang HD, Deutch AY, Caprioli RM, Van de Plas R. Connecting imaging mass spectrometry and magnetic resonance imaging-based anatomical atlases for automated anatomical interpretation and differential analysis. BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS 2017; 1865:967-977. [PMID: 28254588 DOI: 10.1016/j.bbapap.2017.02.016] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2016] [Accepted: 02/13/2017] [Indexed: 12/16/2022]
Abstract
Imaging mass spectrometry (IMS) is a molecular imaging technology that can measure thousands of biomolecules concurrently without prior tagging, making it particularly suitable for exploratory research. However, the data size and dimensionality often makes thorough extraction of relevant information impractical. To help guide and accelerate IMS data analysis, we recently developed a framework that integrates IMS measurements with anatomical atlases, opening up opportunities for anatomy-driven exploration of IMS data. One example is the automated anatomical interpretation of ion images, where empirically measured ion distributions are automatically decomposed into their underlying anatomical structures. While offering significant potential, IMS-atlas integration has thus far been restricted to the Allen Mouse Brain Atlas (AMBA) and mouse brain samples. Here, we expand the applicability of this framework by extending towards new animal species and a new set of anatomical atlases retrieved from the Scalable Brain Atlas (SBA). Furthermore, as many SBA atlases are based on magnetic resonance imaging (MRI) data, a new registration pipeline was developed that enables direct non-rigid IMS-to-MRI registration. These developments are demonstrated on protein-focused FTICR IMS measurements from coronal brain sections of a Parkinson's disease (PD) rat model. The measurements are integrated with an MRI-based rat brain atlas from the SBA. The new rat-focused IMS-atlas integration is used to perform automated anatomical interpretation and to find differential ions between healthy and diseased tissue. IMS-atlas integration can serve as an important accelerator in IMS data exploration, and with these new developments it can now be applied to a wider variety of animal species and modalities. This article is part of a Special Issue entitled: MALDI Imaging, edited by Dr. Corinna Henkel and Prof. Peter Hoffmann.
Collapse
Affiliation(s)
- Nico Verbeeck
- Delft Center for Systems and Control (DCSC), Delft University of Technology, Mekelweg 2, 2628 CD Delft, the Netherlands.
| | - Jeffrey M Spraggins
- Mass Spectrometry Research Center (MSRC), Vanderbilt University, 465 21st Ave. South, 9160 Medical Research Building III, Nashville, TN 37240, USA; Department of Biochemistry, Vanderbilt University, 607 Light Hall, Nashville, TN 37205, USA; Department of Chemistry, Vanderbilt University, 7330 Stevenson Center Station B 351822, Nashville, TN 37235, USA.
| | - Monika J M Murphy
- Program in Neuroscience, Vanderbilt University, U-1205 Medical Research Building III, 465 21st Ave. South, Nashville, TN 37232, USA.
| | - Hui-Dong Wang
- Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, 1211 Medical Center Dr. Nashville, TN 37232, USA.
| | - Ariel Y Deutch
- Program in Neuroscience, Vanderbilt University, U-1205 Medical Research Building III, 465 21st Ave. South, Nashville, TN 37232, USA; Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, 1211 Medical Center Dr. Nashville, TN 37232, USA; Department of Pharmacology, Vanderbilt University, Nashville, 460B Preston Research Building, Nashville, TN 37232, USA.
| | - Richard M Caprioli
- Mass Spectrometry Research Center (MSRC), Vanderbilt University, 465 21st Ave. South, 9160 Medical Research Building III, Nashville, TN 37240, USA; Department of Biochemistry, Vanderbilt University, 607 Light Hall, Nashville, TN 37205, USA; Department of Chemistry, Vanderbilt University, 7330 Stevenson Center Station B 351822, Nashville, TN 37235, USA; Department of Medicine, Vanderbilt University Medical Center, 1161 21st Ave. South, D-3100 Medical Center North, Nashville, TN 37232, USA.
| | - Raf Van de Plas
- Delft Center for Systems and Control (DCSC), Delft University of Technology, Mekelweg 2, 2628 CD Delft, the Netherlands; Mass Spectrometry Research Center (MSRC), Vanderbilt University, 465 21st Ave. South, 9160 Medical Research Building III, Nashville, TN 37240, USA; Department of Biochemistry, Vanderbilt University, 607 Light Hall, Nashville, TN 37205, USA.
| |
Collapse
|
40
|
Lithium Accumulates in Neurogenic Brain Regions as Revealed by High Resolution Ion Imaging. Sci Rep 2017; 7:40726. [PMID: 28098178 PMCID: PMC5241875 DOI: 10.1038/srep40726] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2016] [Accepted: 12/12/2016] [Indexed: 12/24/2022] Open
Abstract
Lithium (Li) is a potent mood stabilizer and displays neuroprotective and neurogenic properties. Despite extensive investigations, the mechanisms of action have not been fully elucidated, especially in the juvenile, developing brain. Here we characterized lithium distribution in the juvenile mouse brain during 28 days of continuous treatment that result in clinically relevant serum concentrations. By using Time-of-Flight Secondary Ion Mass Spectrometry- (ToF-SIMS) based imaging we were able to delineate temporospatial lithium profile throughout the brain and concurrent distribution of endogenous lipids with high chemical specificity and spatial resolution. We found that Li accumulated in neurogenic regions and investigated the effects on hippocampal neurogenesis. Lithium increased proliferation, as judged by Ki67-immunoreactivity, but did not alter the number of doublecortin-positive neuroblasts at the end of the treatment period. Moreover, ToF-SIMS revealed a steady depletion of sphingomyelin in white matter regions during 28d Li-treatment, particularly in the olfactory bulb. In contrast, cortical levels of cholesterol and choline increased over time in Li-treated mice. This is the first study describing ToF-SIMS imaging for probing the brain-wide accumulation of supplemented Li in situ. The findings demonstrate that this technique is a powerful approach for investigating the distribution and effects of neuroprotective agents in the brain.
Collapse
|
41
|
Mass spectrometry imaging of biomarker lipids for phagocytosis and signalling during focal cerebral ischaemia. Sci Rep 2016; 6:39571. [PMID: 28004822 PMCID: PMC5177920 DOI: 10.1038/srep39571] [Citation(s) in RCA: 63] [Impact Index Per Article: 7.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/25/2016] [Accepted: 11/08/2016] [Indexed: 12/15/2022] Open
Abstract
Focal cerebral ischaemia has an initial phase of inflammation and tissue injury followed by a later phase of resolution and repair. Mass spectrometry imaging (desorption electrospray ionization and matrix assisted laser desorption ionization) was applied on brain sections from mice 2 h, 24 h, 5d, 7d, and 20d after permanent focal cerebral ischaemia. Within 24 h, N-acyl-phosphatidylethanolamines, lysophosphatidylcholine, and ceramide accumulated, while sphingomyelin disappeared. At the later resolution stages, bis(monoacylglycero)phosphate (BMP(22:6/22:6)), 2-arachidonoyl-glycerol, ceramide-phosphate, sphingosine-1-phosphate, lysophosphatidylserine, and cholesteryl ester appeared. At day 5 to 7, dihydroxy derivates of docosahexaenoic and docosapentaenoic acid, some of which may be pro-resolving mediators, e.g. resolvins, were found in the injured area, and BMP(22:6/22:6) co-localized with the macrophage biomarker CD11b, and probably with cholesteryl ester. Mass spectrometry imaging can visualize spatiotemporal changes in the lipidome during the progression and resolution of focal cerebral inflammation and suggests that BMP(22:6/22:6) and N-acyl-phosphatidylethanolamines can be used as biomarkers for phagocytizing macrophages/microglia cells and dead neurones, respectively.
Collapse
|
42
|
Karlsson O, Michno W, Ransome Y, Hanrieder J. MALDI imaging delineates hippocampal glycosphingolipid changes associated with neurotoxin induced proteopathy following neonatal BMAA exposure. BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS 2016; 1865:740-746. [PMID: 27956354 DOI: 10.1016/j.bbapap.2016.12.004] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2016] [Revised: 12/05/2016] [Accepted: 12/08/2016] [Indexed: 11/16/2022]
Abstract
The environmental toxin β-N-methylamino-L-alanine (BMAA) has been proposed to contribute to neurodegenerative diseases. We have previously shown that neonatal exposure to BMAA results in dose-dependent cognitive impairments, proteomic alterations and progressive neurodegeneration in the hippocampus of adult rats. A high BMAA dose (460mg/kg) also induced intracellular fibril formation, increased protein ubiquitination and enrichment of proteins important for lipid transport and metabolism. The aim of this study was therefore to elucidate the role of neuronal lipids in BMAA-induced neurodegeneration. By using matrix assisted laser desorption/ionization imaging mass spectrometry (MALDI IMS), we characterized the spatial lipid profile in the hippocampus of six month-old rats that were treated neonatally (postnatal days 9-10) with 460mg/kg BMAA. Multivariate statistical analysis revealed long-term changes in distinct ganglioside species (GM, GD, GT) in the dentate gyrus. These changes could be a consequence of direct effects on ganglioside biosynthesis through the b-series (GM3-GD3-GD2-GD1b-GT1b) and may be linked to astrogliosis. Complementary immunohistochemistry experiments towards GFAP and S100β further verified the role of increased astrocyte activity in BMAA-induced brain damage. This highlights the potential of imaging MS for probing chemical changes associated with neuropathological mechanisms in situ. This article is part of a Special Issue entitled: MALDI Imaging, edited by Dr. Corinna Henkel and Prof. Peter Hoffmann.
Collapse
Affiliation(s)
- Oskar Karlsson
- Center for Molecular Medicine, Department of Clinical Neuroscience, Karolinska Institute, 171 76 Stockholm, Sweden; Department of Pharmaceutical Biosciences, Toxicology and Drug Safety, Uppsala University, Box 591, 751 24 Uppsala, Sweden; Department of Environmental Health, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Wojciech Michno
- Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal Hospital, House V, 431 80 Mölndal, Sweden
| | - Yusuf Ransome
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, 677 Huntington Avenue, Boston, MA 02115, USA
| | - Jörg Hanrieder
- Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal Hospital, House V, 431 80 Mölndal, Sweden; Department of Chemistry and Chemical Engineering, Analytical Chemistry, Chalmers University of Technology, Kemivägen 10, 412 96 Gothenburg, Sweden; Department of Molecular Neuroscience, UCL Institute of Neurology, University College London, Queen Square, WC1N 3BG London, UK.
| |
Collapse
|
43
|
Fernandes AMAP, Vendramini PH, Galaverna R, Schwab NV, Alberici LC, Augusti R, Castilho RF, Eberlin MN. Direct Visualization of Neurotransmitters in Rat Brain Slices by Desorption Electrospray Ionization Mass Spectrometry Imaging (DESI - MS). JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2016; 27:1944-1951. [PMID: 27704473 DOI: 10.1007/s13361-016-1475-0] [Citation(s) in RCA: 37] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/08/2016] [Revised: 06/30/2016] [Accepted: 07/31/2016] [Indexed: 05/12/2023]
Abstract
Mass spectrometry imaging (MSI) of neurotransmitters has so far been mainly performed by matrix-assisted laser desorption/ionization (MALDI) where derivatization reagents, deuterated matrix and/or high resolution, or tandem MS have been applied to circumvent problems with interfering ion peaks from matrix and from isobaric species. We herein describe the application of desorption electrospray ionization mass spectrometry imaging (DESI)-MSI in rat brain coronal and sagittal slices for direct spatial monitoring of neurotransmitters and choline with no need of derivatization reagents and/or deuterated materials. The amino acids γ-aminobutyric (GABA), glutamate, aspartate, serine, as well as acetylcholine, dopamine, and choline were successfully imaged using a commercial DESI source coupled to a hybrid quadrupole-Orbitrap mass spectrometer. The spatial distribution of the analyzed compounds in different brain regions was determined. We conclude that the ambient matrix-free DESI-MSI is suitable for neurotransmitter imaging and could be applied in studies that involve evaluation of imbalances in neurotransmitters levels. Graphical Abstract ᅟ.
Collapse
Affiliation(s)
- Anna Maria A P Fernandes
- Thomson Mass Spectrometry Laboratory, Universidade Estadual de Campinas (UNICAMP), Campinas, SP, Brazil.
| | - Pedro H Vendramini
- Thomson Mass Spectrometry Laboratory, Universidade Estadual de Campinas (UNICAMP), Campinas, SP, Brazil
| | | | - Nicolas V Schwab
- Thomson Mass Spectrometry Laboratory, Universidade Estadual de Campinas (UNICAMP), Campinas, SP, Brazil
| | - Luciane C Alberici
- Departamento de Física e Química, Faculdade de Ciências Farmacêuticas de Ribeirão Preto, Universidade de São Paulo, Ribeirão Preto, SP, Brazil
| | - Rodinei Augusti
- Departamento de Química, Universidade Federal de Minas Gerais, Belo Horizonte, MG, Brazil
| | - Roger F Castilho
- Departamento de Patologia Clínica, Faculdade de Ciências Médicas, UNICAMP, Campinas, SP, Brazil
| | - Marcos N Eberlin
- Thomson Mass Spectrometry Laboratory, Universidade Estadual de Campinas (UNICAMP), Campinas, SP, Brazil.
| |
Collapse
|
44
|
Lee SA, Ponjavic A, Siv C, Lee SF, Biteen JS. Nanoscopic Cellular Imaging: Confinement Broadens Understanding. ACS NANO 2016; 10:8143-8153. [PMID: 27602688 DOI: 10.1021/acsnano.6b02863] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/06/2023]
Abstract
In recent years, single-molecule fluorescence imaging has been reconciling a fundamental mismatch between optical microscopy and subcellular biophysics. However, the next step in nanoscale imaging in living cells can be accessed only by optical excitation confinement geometries. Here, we review three methods of confinement that can enable nanoscale imaging in living cells: excitation confinement by laser illumination with beam shaping; physical confinement by micron-scale geometries in bacterial cells; and nanoscale confinement by nanophotonics.
Collapse
Affiliation(s)
- Stephen A Lee
- Department of Chemistry, University of Michigan , Ann Arbor, Michigan 48109, United States
| | - Aleks Ponjavic
- Department of Chemistry, Cambridge University , Cambridge CB2 1EW, United Kingdom
| | - Chanrith Siv
- Department of Chemistry, University of Michigan , Ann Arbor, Michigan 48109, United States
| | - Steven F Lee
- Department of Chemistry, Cambridge University , Cambridge CB2 1EW, United Kingdom
| | - Julie S Biteen
- Department of Chemistry, University of Michigan , Ann Arbor, Michigan 48109, United States
| |
Collapse
|
45
|
Toselli F, Dodd PR, Gillam EMJ. Emerging roles for brain drug-metabolizing cytochrome P450 enzymes in neuropsychiatric conditions and responses to drugs. Drug Metab Rev 2016; 48:379-404. [DOI: 10.1080/03602532.2016.1221960] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
|
46
|
Wu Q, Comi TJ, Li B, Rubakhin SS, Sweedler JV. On-Tissue Derivatization via Electrospray Deposition for Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging of Endogenous Fatty Acids in Rat Brain Tissues. Anal Chem 2016; 88:5988-95. [PMID: 27181709 PMCID: PMC4899806 DOI: 10.1021/acs.analchem.6b01021] [Citation(s) in RCA: 74] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
![]()
Matrix-assisted
laser desorption/ionization (MALDI) mass spectrometry
imaging (MSI) is used for the multiplex detection and characterization
of diverse analytes over a wide mass range directly from tissues.
However, analyte coverage with MALDI MSI is typically limited to the
more abundant compounds, which have m/z values that are distinct from MALDI matrix-related ions. On-tissue
analyte derivatization addresses these issues by selectively tagging
functional groups specific to a class of analytes, while simultaneously
changing their molecular masses and improving their desorption and
ionization efficiency. We evaluated electrospray deposition of liquid-phase
derivatization agents as a means of on-tissue analyte derivatization
using 2-picolylamine; we were able to detect a range of endogenous
fatty acids with MALDI MSI. When compared with airbrush application,
electrospray led to a 3-fold improvement in detection limits and decreased
analyte delocalization. Six fatty acids were detected and visualized
from rat cerebrum tissue using a MALDI MSI instrument operating in
positive mode. MALDI MSI of the hippocampal area allowed targeted
fatty acid analysis of the dentate gyrus granule cell layer and the
CA1 pyramidal layer with a 20-μm pixel width, without degrading
the localization of other lipids during liquid-phase analyte derivatization.
Collapse
Affiliation(s)
- Qian Wu
- Department of Chemistry and the Beckman Institute, University of Illinois at Urbana-Champaign , Urbana, Illinois 61801, United States
| | - Troy J Comi
- Department of Chemistry and the Beckman Institute, University of Illinois at Urbana-Champaign , Urbana, Illinois 61801, United States
| | - Bin Li
- Department of Chemistry and the Beckman Institute, University of Illinois at Urbana-Champaign , Urbana, Illinois 61801, United States
| | - Stanislav S Rubakhin
- Department of Chemistry and the Beckman Institute, University of Illinois at Urbana-Champaign , Urbana, Illinois 61801, United States
| | - Jonathan V Sweedler
- Department of Chemistry and the Beckman Institute, University of Illinois at Urbana-Champaign , Urbana, Illinois 61801, United States
| |
Collapse
|
47
|
Carlred L, Michno W, Kaya I, Sjövall P, Syvänen S, Hanrieder J. Probing amyloid-β pathology in transgenic Alzheimer's disease (tgArcSwe) mice using MALDI imaging mass spectrometry. J Neurochem 2016; 138:469-78. [PMID: 27115712 DOI: 10.1111/jnc.13645] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2016] [Revised: 04/01/2016] [Accepted: 04/22/2016] [Indexed: 11/30/2022]
Abstract
The pathological mechanisms underlying Alzheimer's disease (AD) are still not understood. The disease pathology is characterized by the accumulation and aggregation of amyloid-β (Aβ) peptides into extracellular plaques, however the factors that promote neurotoxic Aβ aggregation remain elusive. Imaging mass spectrometry (IMS) is a powerful technique to comprehensively elucidate the spatial distribution patterns of lipids, peptides and proteins in biological tissues. In the present study, matrix-assisted laser desorption/ionization (MALDI) mass spectrometry (MS)-based imaging was used to study Aβ deposition in transgenic mouse brain tissue and to elucidate the plaque-associated chemical microenvironment. The imaging experiments were performed in brain sections of transgenic Alzheimer's disease mice carrying the Arctic and Swedish mutation of amyloid-beta precursor protein (tgArcSwe). Multivariate image analysis was used to interrogate the IMS data for identifying pathologically relevant, anatomical features based on their chemical identity. This include cortical and hippocampal Aβ deposits, whose amyloid peptide content was further verified using immunohistochemistry and laser microdissection followed by MALDI MS analysis. Subsequent statistical analysis on spectral data of regions of interest revealed brain region-specific differences in Aβ peptide aggregation. Moreover, other plaque-associated protein species were identified including macrophage migration inhibitory factor suggesting neuroinflammatory processes and glial cell reactivity to be involved in AD pathology. The presented data further highlight the potential of IMS as a powerful approach in neuropathology. Hanrieder et al. described an imaging mass spectrometry based study on comprehensive spatial profiling of C-terminally truncated Aβ species within individual plaques in tgArcSwe mice. Here, brain region-dependent differences in Aβ truncation and other plaque-associated proteins, such as macrophage migration inhibitory factor, were observed. The data shed further light on plaque-associated molecular mechanisms implicated in Alzheimer's pathogenesis. Cover image for this issue: doi: 10.1111/jnc.13328.
Collapse
Affiliation(s)
- Louise Carlred
- SP Technical Research Institute of Sweden, Borås, Sweden.,Department of Physics, Chalmers University of Technology, Gothenburg, Sweden
| | - Wojciech Michno
- Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Ibrahim Kaya
- Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Peter Sjövall
- SP Technical Research Institute of Sweden, Borås, Sweden.,Department of Physics, Chalmers University of Technology, Gothenburg, Sweden
| | - Stina Syvänen
- Department of Public Health and Caring Sciences, Uppsala University, Uppsala, Sweden
| | - Jörg Hanrieder
- Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Department of Chemistry and Chemical Engineering, Chalmers University of Technology, Gothenburg, Sweden.,Department of Molecular Neuroscience, Institute of Neurology, University College London, London, UK
| |
Collapse
|
48
|
Dowlatshahi Pour M, Malmberg P, Ewing A. An investigation on the mechanism of sublimed DHB matrix on molecular ion yields in SIMS imaging of brain tissue. Anal Bioanal Chem 2016; 408:3071-81. [PMID: 26922337 DOI: 10.1007/s00216-016-9385-3] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2015] [Revised: 01/18/2016] [Accepted: 02/01/2016] [Indexed: 11/24/2022]
Abstract
We have characterized the use of sublimation to deposit matrix-assisted laser desorption/ionization (MALDI) matrices in secondary ion mass spectrometry (SIMS) analysis, i.e. matrix-enhanced SIMS (ME-SIMS), a common surface modification method to enhance sensitivity for larger molecules and to increase the production of intact molecular ions. We use sublimation to apply a thin layer of a conventional MALDI matrix, 2,5-dihydroxybenzoic acid (DHB), onto rat brain cerebellum tissue to show how this technique can be used to enhance molecular yields in SIMS while still retaining a lateral resolution around 2 μm and also to investigate the mechanism of this enhancement. The results here illustrate that cholesterol, which is a dominant lipid species in the brain, is decreased on the tissue surface after deposition of matrix, particularly in white matter. The decrease of cholesterol is followed by an increased ion yield of several other lipid species. Depth profiling of the sublimed rat brain reveals that the lipid species are de facto extracted by the DHB matrix and concentrated in the top most layers of the sublimed matrix. This extraction/concentration of lipids directly leads to an increase of higher mass lipid ion yield. It is also possible that the decrease of cholesterol decreases the potential suppression of ion yield caused by cholesterol migration to the tissue surface. This result provides us with significant insights into the possible mechanisms involved when using sublimation to deposit this matrix in ME-SIMS.
Collapse
Affiliation(s)
- Masoumeh Dowlatshahi Pour
- Department of Chemical and Chemical Engineering, Chalmers University of Technology, Kemigården 4, 41296, Gothenburg, Sweden.,National center for imaging mass spectrometry, Kemivägen 10, 41296, Gothenburg, Sweden
| | - Per Malmberg
- Department of Chemical and Chemical Engineering, Chalmers University of Technology, Kemigården 4, 41296, Gothenburg, Sweden. .,National center for imaging mass spectrometry, Kemivägen 10, 41296, Gothenburg, Sweden.
| | - Andrew Ewing
- Department of Chemical and Chemical Engineering, Chalmers University of Technology, Kemigården 4, 41296, Gothenburg, Sweden. .,National center for imaging mass spectrometry, Kemivägen 10, 41296, Gothenburg, Sweden. .,Department of Chemistry and Molecular Biology, University of Gothenburg, Medicinaregatan 9C, 40530, Gothenburg, Sweden.
| |
Collapse
|
49
|
Fernández R, Garate J, Lage S, Terés S, Higuera M, Bestard-Escalas J, Martin ML, López DH, Guardiola-Serrano F, Escribá PV, Barceló-Coblijn G, Fernández JA. Optimized Protocol To Analyze Changes in the Lipidome of Xenografts after Treatment with 2-Hydroxyoleic Acid. Anal Chem 2016; 88:1022-9. [PMID: 26607740 PMCID: PMC5017204 DOI: 10.1021/acs.analchem.5b03978] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
Xenografts are a popular model for the study of the action of new antitumor drugs. However, xenografts are highly heterogeneous structures, and therefore it is sometimes difficult to evaluate the effects of the compounds on tumor metabolism. In this context, imaging mass spectrometry (IMS) may yield the required information, due to its inherent characteristics of sensitivity and spatial resolution. To the best of our knowledge, there is still no clear analysis protocol to properly evaluate the changes between samples due to the treatment. Here we present a protocol for the evaluation of the effect of 2-hydroxyoleic acid (2-OHOA), an antitumor compound, on xenografts lipidome based on IMS. Direct treated/control comparison did not show conclusive results. As we will demonstrate, a more sophisticated protocol was required to evaluate these changes including the following: (1) identification of different areas in the xenograft, (2) classification of these areas (necrotic/viable) to compare similar types of tissues, (3) suppression of the effect of the variation of adduct formation between samples, and (4) normalization of the variables using the standard deviation to eliminate the excessive impact of the stronger peaks in the statistical analysis. In this way, the 36 lipid species that experienced the largest changes between treated and control were identified. Furthermore, incorporation of 2-hydroxyoleic acid to a sphinganine base was also confirmed by MS/MS. Comparison of the changes observed here with previous results obtained with different techniques demonstrates the validity of the protocol.
Collapse
Affiliation(s)
- Roberto Fernández
- Department of Physical Chemistry, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Barrio Sarriena s/n, 48940 Leioa, Spain
| | - Jone Garate
- Department of Physical Chemistry, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Barrio Sarriena s/n, 48940 Leioa, Spain
| | - Sergio Lage
- Department of Physical Chemistry, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Barrio Sarriena s/n, 48940 Leioa, Spain
| | - Silvia Terés
- Unité de recherche Inserm 0916, Institut Européen de Chimie et Biologie (IECB)-INSERM, 2 rue Robert Escarpit, 33607 Pessac, France
| | - Mónica Higuera
- Laboratory of Molecular and Cell Biomedicine, Department of Biology, University of the Balearic Islands, E-07122 Palma, Balearic Islands, Spain
| | - Joan Bestard-Escalas
- Research Unit, Hospital Universitari Son Espases, Institut d’Investigació Sanitária de Palma (IdISPa), Carretera Valldemossa 79, E-07010 Palma, Balearic Islands, Spain
| | - M. Laura Martin
- Laboratory of Signal Transduction, Memorial Sloan-Kettering Cancer Center, 415 East 68th Street, New York, New York 10065, United States
| | - Daniel H. López
- Research Unit, Hospital Universitari Son Espases, Institut d’Investigació Sanitária de Palma (IdISPa), Carretera Valldemossa 79, E-07010 Palma, Balearic Islands, Spain
| | - Francisca Guardiola-Serrano
- Laboratory of Molecular and Cell Biomedicine, Department of Biology, University of the Balearic Islands, E-07122 Palma, Balearic Islands, Spain
| | - Pablo V. Escribá
- Laboratory of Molecular and Cell Biomedicine, Department of Biology, University of the Balearic Islands, E-07122 Palma, Balearic Islands, Spain
| | - Gwendolyn Barceló-Coblijn
- Research Unit, Hospital Universitari Son Espases, Institut d’Investigació Sanitária de Palma (IdISPa), Carretera Valldemossa 79, E-07010 Palma, Balearic Islands, Spain
| | - José A. Fernández
- Department of Physical Chemistry, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Barrio Sarriena s/n, 48940 Leioa, Spain
| |
Collapse
|
50
|
Gulin A, Nadtochenko V, Astafiev A, Pogorelova V, Rtimi S, Pogorelov A. Correlating microscopy techniques and ToF-SIMS analysis of fully grown mammalian oocytes. Analyst 2016; 141:4121-9. [DOI: 10.1039/c6an00665e] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
An innovative protocol for the 2D-molecular thin film analysis applying ToF-SIMS, SEM, AFM and optical microscopy imaging of fully grown mice oocytes is described.
Collapse
Affiliation(s)
- Alexander Gulin
- N. N. Semenov Institute of Chemical Physics
- Russian Academy of Sciences
- 119991 Moscow
- Russia
- Moscow State University
| | - Victor Nadtochenko
- N. N. Semenov Institute of Chemical Physics
- Russian Academy of Sciences
- 119991 Moscow
- Russia
- Moscow State University
| | - Artyom Astafiev
- N. N. Semenov Institute of Chemical Physics
- Russian Academy of Sciences
- 119991 Moscow
- Russia
| | | | - Sami Rtimi
- Ecole Polytechnique Fédeérale de Lausanne
- Institute of chemical sciences and engineering (ISIC)
- Lausanne
- VD
- Switzerland
| | | |
Collapse
|