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Wang X, Peng R, Zhao L. Multiscale metabolomics techniques: Insights into neuroscience research. Neurobiol Dis 2024; 198:106541. [PMID: 38806132 DOI: 10.1016/j.nbd.2024.106541] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2024] [Revised: 05/21/2024] [Accepted: 05/23/2024] [Indexed: 05/30/2024] Open
Abstract
The field of metabolomics examines the overall composition and dynamic patterns of metabolites in living organisms. The primary methods used in metabolomics include liquid chromatography (LC), nuclear magnetic resonance (NMR), and mass spectrometry (MS) analysis. These methods enable the identification and examination of metabolite types and contents within organisms, as well as modifications to metabolic pathways and their connection to the emergence of diseases. Research in metabolomics has extensive value in basic and applied sciences. The field of metabolomics is growing quickly, with the majority of studies concentrating on biomedicine, particularly early disease diagnosis, therapeutic management of human diseases, and mechanistic knowledge of biochemical processes. Multiscale metabolomics is an approach that integrates metabolomics techniques at various scales, including the holistic, tissue, cellular, and organelle scales, to enable more thorough and in-depth studies of metabolic processes in organisms. Multiscale metabolomics can be combined with methods from systems biology and bioinformatics. In recent years, multiscale metabolomics approaches have become increasingly important in neuroscience research due to the nervous system's high metabolic demands. Multiscale metabolomics can offer novel concepts and approaches for the diagnosis, treatment, and development of medication for neurological illnesses in addition to a more thorough understanding of brain metabolism and nervous system function. In this review, we summarize the use of multiscale metabolomics techniques in neuroscience, address the promise and constraints of these techniques, and provide an overview of the metabolome and its applications in neuroscience.
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Affiliation(s)
- Xiaoya Wang
- Beijing Institute of Radiation Medicine, Beijing 100850, China
| | - Ruiyun Peng
- Beijing Institute of Radiation Medicine, Beijing 100850, China.
| | - Li Zhao
- Beijing Institute of Radiation Medicine, Beijing 100850, China.
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2
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Mutithu DW, Aremu OO, Mokaila D, Bana T, Familusi M, Taylor L, Martin LJ, Heathfield LJ, Kirwan JA, Wiesner L, Adeola HA, Lumngwena EN, Manganyi R, Skatulla S, Naidoo R, Ntusi NAB. A study protocol to characterise pathophysiological and molecular markers of rheumatic heart disease and degenerative aortic stenosis using multiparametric cardiovascular imaging and multiomics techniques. PLoS One 2024; 19:e0303496. [PMID: 38739622 PMCID: PMC11090351 DOI: 10.1371/journal.pone.0303496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/08/2024] [Accepted: 04/26/2024] [Indexed: 05/16/2024] Open
Abstract
INTRODUCTION Rheumatic heart disease (RHD), degenerative aortic stenosis (AS), and congenital valve diseases are prevalent in sub-Saharan Africa. Many knowledge gaps remain in understanding disease mechanisms, stratifying phenotypes, and prognostication. Therefore, we aimed to characterise patients through clinical profiling, imaging, histology, and molecular biomarkers to improve our understanding of the pathophysiology, diagnosis, and prognosis of RHD and AS. METHODS In this cross-sectional, case-controlled study, we plan to recruit RHD and AS patients and compare them to matched controls. Living participants will undergo clinical assessment, echocardiography, CMR and blood sampling for circulatory biomarker analyses. Tissue samples will be obtained from patients undergoing valve replacement, while healthy tissues will be obtained from cadavers. Immunohistology, proteomics, metabolomics, and transcriptome analyses will be used to analyse circulatory- and tissue-specific biomarkers. Univariate and multivariate statistical analyses will be used for hypothesis testing and identification of important biomarkers. In summary, this study aims to delineate the pathophysiology of RHD and degenerative AS using multiparametric CMR imaging. In addition to discover novel biomarkers and explore the pathomechanisms associated with RHD and AS through high-throughput profiling of the tissue and blood proteome and metabolome and provide a proof of concept of the suitability of using cadaveric tissues as controls for cardiovascular disease studies.
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Affiliation(s)
- Daniel W. Mutithu
- Department of Medicine, Cape Heart Institute, University of Cape Town, Cape Town, South Africa
- Division of Cardiology, Department of Medicine, University of Cape Town and Groote Schuur Hospital, Cape Town, South Africa
- Extramural Unit on Intersection of Noncommunicable Diseases and Infectious Diseases, South African Medical Research Council, Cape Town, South Africa
| | - Olukayode O. Aremu
- Department of Medicine, Cape Heart Institute, University of Cape Town, Cape Town, South Africa
- Division of Cardiology, Department of Medicine, University of Cape Town and Groote Schuur Hospital, Cape Town, South Africa
- Extramural Unit on Intersection of Noncommunicable Diseases and Infectious Diseases, South African Medical Research Council, Cape Town, South Africa
| | - Dipolelo Mokaila
- Department of Medicine, Cape Heart Institute, University of Cape Town, Cape Town, South Africa
- Division of Cardiology, Department of Medicine, University of Cape Town and Groote Schuur Hospital, Cape Town, South Africa
- Extramural Unit on Intersection of Noncommunicable Diseases and Infectious Diseases, South African Medical Research Council, Cape Town, South Africa
| | - Tasnim Bana
- Department of Medicine, Cape Heart Institute, University of Cape Town, Cape Town, South Africa
- Division of Cardiology, Department of Medicine, University of Cape Town and Groote Schuur Hospital, Cape Town, South Africa
- Extramural Unit on Intersection of Noncommunicable Diseases and Infectious Diseases, South African Medical Research Council, Cape Town, South Africa
| | - Mary Familusi
- Division of Cardiology, Department of Medicine, University of Cape Town and Groote Schuur Hospital, Cape Town, South Africa
- Department of Civil Engineering, University of Cape Town, Cape Town, South Africa
| | - Laura Taylor
- Division of Forensic Medicine and Toxicology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Lorna J. Martin
- Division of Forensic Medicine and Toxicology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Laura J. Heathfield
- Division of Forensic Medicine and Toxicology, Department of Pathology, University of Cape Town, Cape Town, South Africa
| | - Jennifer A. Kirwan
- Metabolomics Platform, Berlin Institute of Health at Charité – Universitätsmedizin Berlin, Berlin, Germany
- Max-Delbrück-Center (MDC) for Molecular Medicine, Helmholtz Association, Berlin, Germany
| | - Lubbe Wiesner
- Division of Clinical Pharmacology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Henry A. Adeola
- Division of Dermatology, Department of Medicine, University of Cape Town, Cape Town, South Africa
| | - Evelyn N. Lumngwena
- Department of Medicine, Cape Heart Institute, University of Cape Town, Cape Town, South Africa
- Division of Cardiology, Department of Medicine, University of Cape Town and Groote Schuur Hospital, Cape Town, South Africa
- Extramural Unit on Intersection of Noncommunicable Diseases and Infectious Diseases, South African Medical Research Council, Cape Town, South Africa
- School of Clinical Medicine, University of the Witwatersrand, Johannesburg, South Africa
| | - Rodgers Manganyi
- Chris Barnard Division of Cardiothoracic Surgery, University of Cape Town and Groote Schuur Hospital, Cape Town, South Africa
| | - Sebastian Skatulla
- Department of Civil Engineering, University of Cape Town, Cape Town, South Africa
| | - Richard Naidoo
- Division of Anatomical Pathology, Department of Pathology, University of Cape Town and National Health Laboratory Service, Cape Town, South Africa
| | - Ntobeko A. B. Ntusi
- Department of Medicine, Cape Heart Institute, University of Cape Town, Cape Town, South Africa
- Division of Cardiology, Department of Medicine, University of Cape Town and Groote Schuur Hospital, Cape Town, South Africa
- Extramural Unit on Intersection of Noncommunicable Diseases and Infectious Diseases, South African Medical Research Council, Cape Town, South Africa
- Cape Universities Body Imaging Centre, University of Cape Town, Cape Town, South Africa
- Wellcome Centre for Infectious Disease Research, University of Cape Town, Cape Town, South Africa
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Weigand MR, Unsihuay Vila DM, Yang M, Hu H, Hernly E, Muhoberac M, Tichy S, Laskin J. Lipid Isobar and Isomer Imaging Using Nanospray Desorption Electrospray Ionization Combined with Triple Quadrupole Mass Spectrometry. Anal Chem 2024. [PMID: 38321595 DOI: 10.1021/acs.analchem.3c04705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2024]
Abstract
Mass spectrometry imaging (MSI) is widely used for examining the spatial distributions of molecules in biological samples. Conventional MSI approaches, in which molecules extracted from the sample are distinguished based on their mass-to-charge ratio, cannot distinguish between isomeric species and some closely spaced isobars. To facilitate isobar separation, MSI is typically performed using high-resolution mass spectrometers. Nevertheless, the complexity of the mixture of biomolecules observed in each pixel of the image presents a challenge, even for modern mass spectrometers with the highest resolving power. Herein, we implement nanospray desorption electrospray ionization (nano-DESI) MSI on a triple quadrupole (QqQ) mass spectrometer for the spatial mapping of isobaric and isomeric species in biological tissues. We use multiple reaction monitoring acquisition mode (MRM) with unit mass resolution to demonstrate the performance of this new platform by imaging lipids in mouse brain and rat kidney tissues. We demonstrate that imaging in MRM mode may be used to distinguish between isobaric phospholipids requiring a mass resolving power of 3,800,000. Additionally, we have been able to image eicosanoid isomers, a largely unexplored class of signaling molecules present in tissues at low concentrations, in rat kidney tissue. This new capability substantially enhances the specificity and selectivity of MSI, enabling spatial localization of species that remain unresolved in conventional MSI experiments.
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Affiliation(s)
- Miranda R Weigand
- Department of Chemistry, Purdue University, 560 Oval Dr., West Lafayette, Indiana 47907, United States
| | - Daisy M Unsihuay Vila
- Department of Chemistry, Purdue University, 560 Oval Dr., West Lafayette, Indiana 47907, United States
| | - Manxi Yang
- Department of Chemistry, Purdue University, 560 Oval Dr., West Lafayette, Indiana 47907, United States
| | - Hang Hu
- Department of Chemistry, Purdue University, 560 Oval Dr., West Lafayette, Indiana 47907, United States
| | - Emerson Hernly
- Department of Chemistry, Purdue University, 560 Oval Dr., West Lafayette, Indiana 47907, United States
| | - Matthew Muhoberac
- Department of Chemistry, Purdue University, 560 Oval Dr., West Lafayette, Indiana 47907, United States
| | - Shane Tichy
- Agilent Technologies, 5301 Stevens Creek Blvd, Santa Clara, California 95051, United States
| | - Julia Laskin
- Department of Chemistry, Purdue University, 560 Oval Dr., West Lafayette, Indiana 47907, United States
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4
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Bender K, Wang Y, Zhai CY, Saenz Z, Wang A, Neumann EK. Sample Preparation Method for MALDI Mass Spectrometry Imaging of Fresh-Frozen Spines. Anal Chem 2023; 95:17337-17346. [PMID: 37886878 PMCID: PMC10688227 DOI: 10.1021/acs.analchem.3c03672] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 10/10/2023] [Accepted: 10/12/2023] [Indexed: 10/28/2023]
Abstract
Technologies assessing the lipidomics, genomics, epigenomics, transcriptomics, and proteomics of tissue samples at single-cell resolution have deepened our understanding of physiology and pathophysiology at an unprecedented level of detail. However, the study of single-cell spatial metabolomics in undecalcified bones faces several significant challenges, such as the fragility of bone, which often requires decalcification or fixation leading to the degradation or removal of lipids and other molecules. As such, we describe a method for performing mass spectrometry imaging on undecalcified spine that is compatible with other spatial omics measurements. In brief, we use fresh-frozen rat spines and a system of carboxyl methylcellulose embedding, cryofilm, and polytetrafluoroethylene rollers to maintain tissue integrity while avoiding signal loss from variations in laser focus and artifacts from traditional tissue processing. This reveals various tissue types and lipidomic profiles of spinal regions at 10 μm spatial resolutions using matrix-assisted laser desorption/ionization mass spectrometry imaging. We expect this method to be adapted and applied to the analysis of the spinal cord, shedding light on the mechanistic aspects of cellular heterogeneity, development, and disease pathogenesis underlying different bone-related conditions and diseases. This study furthers the methodology for high spatial metabolomics of spines and adds to the collective efforts to achieve a holistic understanding of diseases via single-cell spatial multiomics.
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Affiliation(s)
- Kayle
J. Bender
- Department
of Chemistry, University of California,
Davis, One Shields Avenue, Davis, California 95616, United States
| | - Yongheng Wang
- Department
of Biomedical Engineering, University of
California, Davis, Davis, California 95616, United States
| | - Chuo Ying Zhai
- Department
of Chemistry, University of California,
Davis, One Shields Avenue, Davis, California 95616, United States
| | - Zoe Saenz
- Department
of Surgery, School of Medicine, University
of California, Davis, Sacramento, California 95817, United States
| | - Aijun Wang
- Center
for Surgical Bioengineering, Department of Surgery, School of Medicine, University of California, Davis, Sacramento, California 95817, United States
- Institute
for Pediatric Regenerative Medicine, Shriners
Hospital for Children Northern California, UC Davis School of Medicine, Sacramento, California 96817, United States
| | - Elizabeth K. Neumann
- Department
of Chemistry, University of California,
Davis, One Shields Avenue, Davis, California 95616, United States
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5
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Daphnis T, Tomasetti B, Delmez V, Vanvarenberg K, Préat V, Thieffry C, Henriet P, Dupont-Gillain C, Delcorte A. Improvement of Lipid Detection in Mouse Brain and Human Uterine Tissue Sections Using In Situ Matrix Enhanced Secondary Ion Mass Spectrometry. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2023; 34:2259-2268. [PMID: 37712225 DOI: 10.1021/jasms.3c00195] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/16/2023]
Abstract
The potential of mass spectrometry imaging, and especially ToF-SIMS 2D and 3D imaging, for submicrometer-scale, label-free molecular localization in biological tissues is undisputable. Nevertheless, sensitivity issues remain, especially when one wants to achieve the best lateral and vertical (nanometer-scale) resolution. In this study, the interest of in situ matrix transfer for tissue analysis with cluster ion beams (Bin+, Arn+) is explored in detail, using a series of six low molecular weight acidic (MALDI) matrices. After estimating the sensitivity enhancements for phosphatidylcholine (PC), an abundant lipid type present in almost any kind of cell membrane, the most promising matrices were softly transferred in situ on mouse brain and human uterine tissue samples using a 10 keV Ar3000+ cluster beam. Signal enhancements up to 1 order of magnitude for intact lipid signals were observed in both tissues under Bi5+ and Ar3000+ bombardment. The main findings of this study lie in the in-depth characterization of uterine tissue samples, the demonstration that the transferred matrices also improve signal efficiency in the negative ion polarity and that they perform as well when using Bin+ and Arn+ primary ions for analysis and imaging.
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Affiliation(s)
- Thomas Daphnis
- Institute of Condensed Matter and Nanoscience, Université catholique de Louvain, 1 Place Louis Pasteur, 1348 Louvain-la-Neuve, Belgium
| | - Benjamin Tomasetti
- Institute of Condensed Matter and Nanoscience, Université catholique de Louvain, 1 Place Louis Pasteur, 1348 Louvain-la-Neuve, Belgium
| | - Vincent Delmez
- Institute of Condensed Matter and Nanoscience, Université catholique de Louvain, 1 Place Louis Pasteur, 1348 Louvain-la-Neuve, Belgium
| | - Kevin Vanvarenberg
- Louvain Drug Research Institute, Université catholique de Louvain, Avenue Mounier 73, 1200 Brussels, Belgium
| | - Véronique Préat
- Louvain Drug Research Institute, Université catholique de Louvain, Avenue Mounier 73, 1200 Brussels, Belgium
| | - Charlotte Thieffry
- Institut De Duve, Université catholique de Louvain, Avenue Hippocrate 75, 1200 Brussels, Belgium
| | - Patrick Henriet
- Institut De Duve, Université catholique de Louvain, Avenue Hippocrate 75, 1200 Brussels, Belgium
| | - Christine Dupont-Gillain
- Institute of Condensed Matter and Nanoscience, Université catholique de Louvain, 1 Place Louis Pasteur, 1348 Louvain-la-Neuve, Belgium
| | - Arnaud Delcorte
- Institute of Condensed Matter and Nanoscience, Université catholique de Louvain, 1 Place Louis Pasteur, 1348 Louvain-la-Neuve, Belgium
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6
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Bender KJ, Wang Y, Zhai CY, Saenz Z, Wang A, Neumann EK. Spatial lipidomics of fresh-frozen spines. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.08.23.554488. [PMID: 37662353 PMCID: PMC10473750 DOI: 10.1101/2023.08.23.554488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/05/2023]
Abstract
Technologies assessing the lipidomics, genomics, epigenomics, transcriptomics, and proteomics of tissue samples at single-cell resolution have deepened our understanding of physiology and pathophysiology at an unprecedented level of detail. However, the study of single-cell spatial metabolomics in undecalcified bones faces several significant challenges, such as the fragility of bone which often requires decalcification or fixation leading to the degradation or removal of lipids and other molecules and. As such, we describe a method for performing mass spectrometry imaging on undecalcified spine that is compatible with other spatial omics measurements. In brief, we use fresh-freeze rat spines and a system of carboxyl methylcellulose embedding, cryofilm, and polytetrafluoroethylene rollers to maintain tissue integrity, while avoiding signal loss from variations in laser focus and artifacts from traditional tissue processing. This reveals various tissue types and lipidomic profiles of spinal regions at 10 μm spatial resolutions using matrix-assisted laser desorption/ionization mass spectrometry imaging. We expect this method to be adapted and applied to the analysis of spinal cord, shedding light on the mechanistic aspects of cellular heterogeneity, development, and disease pathogenesis underlying different bone-related conditions and diseases. This study furthers the methodology for high spatial metabolomics of spines, as well as adds to the collective efforts to achieve a holistic understanding of diseases via single-cell spatial multi-omics.
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Affiliation(s)
- Kayle J. Bender
- Department of Chemistry, University of California, Davis, One Shields Avenue, Davis, CA 95616, United States
| | - Yongheng Wang
- Department of Biomedical Engineering, University of California, Davis, Davis, CA 95616, United States
| | - Chuo Ying Zhai
- Department of Chemistry, University of California, Davis, One Shields Avenue, Davis, CA 95616, United States
| | - Zoe Saenz
- Department of Surgery, University of California, Davis, School of Medicine, Sacramento, CA 95817, United States
| | - Aijun Wang
- Department of Biomedical Engineering, University of California, Davis, Davis, CA 95616, United States
- Department of Surgery, University of California, Davis, School of Medicine, Sacramento, CA 95817, United States
- Institute for Pediatric Regenerative Medicine, Shriners Hospital for Children Northern California, UC Davis School of Medicine, Sacramento, CA 96817, United States
| | - Elizabeth K. Neumann
- Department of Chemistry, University of California, Davis, One Shields Avenue, Davis, CA 95616, United States
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7
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Ikegawa M, Kakuda N, Miyasaka T, Toyama Y, Nirasawa T, Minta K, Hanrieder J. Mass Spectrometry Imaging in Alzheimer's Disease. Brain Connect 2023; 13:319-333. [PMID: 36905365 PMCID: PMC10494909 DOI: 10.1089/brain.2022.0057] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/12/2023] Open
Abstract
Introduction: Amyloid-beta (Aβ) pathology is the precipitating histopathological characteristic of Alzheimer's disease (AD). Although the formation of amyloid plaques in human brains is suggested to be a key factor in initiating AD pathogenesis, it is still not fully understood the upstream events that lead to Aβ plaque formation and its metabolism inside the brains. Methods: Matrix-assisted laser desorption ionization mass spectrometry imaging (MALDI-MSI) has been successfully introduced to study AD pathology in brain tissue both in AD mouse models and human samples. By using MALDI-MSI, a highly selective deposition of Aβ peptides in AD brains with a variety of cerebral amyloid angiopathy (CAA) involvement was observed. Results: MALDI-MSI visualized depositions of shorter peptides in AD brains; Aβ1-36 to Aβ1-39 were quite similarly distributed with Aβ1-40 as a vascular pattern, and deposition of Aβ1-42 and Aβ1-43 was visualized with a distinct senile plaque pattern distributed in parenchyma. Moreover, how MALDI-MSI covered in situ lipidomics of plaque pathology has been reviewed, which is of interest as aberrations in neuronal lipid biochemistry have been implicated in AD pathogenesis. Discussion: In this study, we introduce the methodological concepts and challenges of MALDI-MSI for the studies of AD pathogenesis. Diverse Aβ isoforms including various C- and N-terminal truncations in AD and CAA brain tissues will be visualized. Despite the close relationship between vascular and plaque Aβ deposition, the current strategy will define cross talk between neurodegenerative and cerebrovascular processes at the level of Aβ metabolism.
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Affiliation(s)
- Masaya Ikegawa
- Department of Life and Medical Systems, Doshisha University, Kyotanabe, Kyoto, Japan
| | - Nobuto Kakuda
- Department of Life and Medical Systems, Doshisha University, Kyotanabe, Kyoto, Japan
| | - Tomohiro Miyasaka
- Department of Life and Medical Systems, Doshisha University, Kyotanabe, Kyoto, Japan
| | - Yumiko Toyama
- Department of Life and Medical Systems, Doshisha University, Kyotanabe, Kyoto, Japan
| | | | - Karolina Minta
- Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Department of Neurodegenerative Disease, Queen Square Institute of Neurology, University College London, London, United Kingdom
| | - Jörg Hanrieder
- Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
- Department of Neurodegenerative Disease, Queen Square Institute of Neurology, University College London, London, United Kingdom
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8
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Fangma Y, Liu M, Liao J, Chen Z, Zheng Y. Dissecting the brain with spatially resolved multi-omics. J Pharm Anal 2023; 13:694-710. [PMID: 37577383 PMCID: PMC10422112 DOI: 10.1016/j.jpha.2023.04.003] [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: 10/31/2022] [Revised: 04/04/2023] [Accepted: 04/06/2023] [Indexed: 08/15/2023] Open
Abstract
Recent studies have highlighted spatially resolved multi-omics technologies, including spatial genomics, transcriptomics, proteomics, and metabolomics, as powerful tools to decipher the spatial heterogeneity of the brain. Here, we focus on two major approaches in spatial transcriptomics (next-generation sequencing-based technologies and image-based technologies), and mass spectrometry imaging technologies used in spatial proteomics and spatial metabolomics. Furthermore, we discuss their applications in neuroscience, including building the brain atlas, uncovering gene expression patterns of neurons for special behaviors, deciphering the molecular basis of neuronal communication, and providing a more comprehensive explanation of the molecular mechanisms underlying central nervous system disorders. However, further efforts are still needed toward the integrative application of multi-omics technologies, including the real-time spatial multi-omics analysis in living cells, the detailed gene profile in a whole-brain view, and the combination of functional verification.
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Affiliation(s)
- Yijia Fangma
- Key Laboratory of Neuropharmacology and Translational Medicine of Zhejiang Province, School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, China
| | - Mengting Liu
- Key Laboratory of Neuropharmacology and Translational Medicine of Zhejiang Province, School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, China
| | - Jie Liao
- Pharmaceutical Informatics Institute, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, 310058, China
| | - Zhong Chen
- Key Laboratory of Neuropharmacology and Translational Medicine of Zhejiang Province, School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, China
| | - Yanrong Zheng
- Key Laboratory of Neuropharmacology and Translational Medicine of Zhejiang Province, School of Pharmaceutical Sciences, Zhejiang Chinese Medical University, Hangzhou, 310053, China
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9
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Turrini L, Roschi L, de Vito G, Pavone FS, Vanzi F. Imaging Approaches to Investigate Pathophysiological Mechanisms of Brain Disease in Zebrafish. Int J Mol Sci 2023; 24:9833. [PMID: 37372981 DOI: 10.3390/ijms24129833] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2023] [Revised: 06/01/2023] [Accepted: 06/02/2023] [Indexed: 06/29/2023] Open
Abstract
Zebrafish has become an essential model organism in modern biomedical research. Owing to its distinctive features and high grade of genomic homology with humans, it is increasingly employed to model diverse neurological disorders, both through genetic and pharmacological intervention. The use of this vertebrate model has recently enhanced research efforts, both in the optical technology and in the bioengineering fields, aiming at developing novel tools for high spatiotemporal resolution imaging. Indeed, the ever-increasing use of imaging methods, often combined with fluorescent reporters or tags, enable a unique chance for translational neuroscience research at different levels, ranging from behavior (whole-organism) to functional aspects (whole-brain) and down to structural features (cellular and subcellular). In this work, we present a review of the imaging approaches employed to investigate pathophysiological mechanisms underlying functional, structural, and behavioral alterations of human neurological diseases modeled in zebrafish.
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Affiliation(s)
- Lapo Turrini
- European Laboratory for Non-Linear Spectroscopy, Via Nello Carrara 1, 50019 Sesto Fiorentino, Italy
| | - Lorenzo Roschi
- European Laboratory for Non-Linear Spectroscopy, Via Nello Carrara 1, 50019 Sesto Fiorentino, Italy
| | - Giuseppe de Vito
- European Laboratory for Non-Linear Spectroscopy, Via Nello Carrara 1, 50019 Sesto Fiorentino, Italy
- Department of Neuroscience, Psychology, Drug Research and Child Health, University of Florence, Viale Gaetano Pieraccini 6, 50139 Florence, Italy
- Interdepartmental Centre for the Study of Complex Dynamics, University of Florence, Via Giovanni Sansone 1, 50019 Sesto Fiorentino, Italy
| | - Francesco Saverio Pavone
- European Laboratory for Non-Linear Spectroscopy, Via Nello Carrara 1, 50019 Sesto Fiorentino, Italy
- Department of Physics and Astronomy, University of Florence, Via Giovanni Sansone 1, 50019 Sesto Fiorentino, Italy
- National Institute of Optics, National Research Council, Via Nello Carrara 1, 50019 Sesto Fiorentino, Italy
| | - Francesco Vanzi
- European Laboratory for Non-Linear Spectroscopy, Via Nello Carrara 1, 50019 Sesto Fiorentino, Italy
- Department of Biology, University of Florence, Via Madonna del Piano 6, 50019 Sesto Fiorentino, Italy
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10
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Guo X, Wang X, Tian C, Dai J, Zhao Z, Duan Y. Development of mass spectrometry imaging techniques and its latest applications. Talanta 2023; 264:124721. [PMID: 37271004 DOI: 10.1016/j.talanta.2023.124721] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Revised: 05/03/2023] [Accepted: 05/22/2023] [Indexed: 06/06/2023]
Abstract
Mass spectrometry imaging (MSI) is a novel molecular imaging technology that collects molecular information from the surface of samples in situ. The spatial distribution and relative content of various compounds can be visualized simultaneously with high spatial resolution. The prominent advantages of MSI promote the active development of ionization technology and its broader applications in diverse fields. This article first gives a brief introduction to the vital parts of the processes during MSI. On this basis, provides a comprehensive overview of the most relevant MS-based imaging techniques from their mechanisms, pros and cons, and applications. In addition, a critical issue in MSI, matrix effects is also discussed. Then, the representative applications of MSI in biological, forensic, and environmental fields in the past 5 years have been summarized, with a focus on various types of analytes (e.g., proteins, lipids, polymers, etc.) Finally, the challenges and further perspectives of MSI are proposed and concluded.
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Affiliation(s)
- Xing Guo
- College of Chemistry and Material Science, Northwest University, Xi'an, 710069, PR China
| | - Xin Wang
- College of Chemistry and Material Science, Northwest University, Xi'an, 710069, PR China
| | - Caiyan Tian
- College of Life Science, Sichuan University, Chengdu, 610064, PR China
| | - Jianxiong Dai
- Aliben Science and Technology Company Limited, Chengdu, 610064, PR China
| | | | - Yixiang Duan
- College of Chemistry and Material Science, Northwest University, Xi'an, 710069, PR China; Research Center of Analytical Instrumentation, Sichuan University, Chengdu, 610064, PR China.
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11
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Wang MF, Sohn AL, Samal J, Erning K, Segura T, Muddiman DC. Lipidomic Analysis of Mouse Brain to Evaluate the Efficacy and Preservation of Different Tissue Preparatory Techniques by IR-MALDESI-MSI. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2023; 34:869-877. [PMID: 36988291 DOI: 10.1021/jasms.2c00353] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Numerous preparatory methods have been developed to preserve the cellular and structural integrity of various biological tissues for different -omics studies. Herein, two preparatory methods for mass spectrometry imaging (MSI) were evaluated, fresh-frozen and sucrose-embedded, paraformaldehyde (PFA) fixed, in terms of ion abundance, putative lipid identifications, and preservation of analyte spatial distributions. Infrared matrix-assisted laser desorption electrospray ionization (IR-MALDESI)-MSI was utilized to compare the preparatory methods of interest with and without the use of the conventional ice matrix. There were 2.5-fold and 1.6-fold more lipid species putatively identified in positive- and negative-ion modes, respectively, for sucrose-embedded, PFA-fixed tissues without an ice matrix relative to the current IR-MALDESI-MSI gold-standard, fresh-frozen tissue preparation with an exogenous ice matrix. Furthermore, sucrose-embedded tissues demonstrated improved spatial distribution of ions resulting from the cryo-protective property of sucrose and paraformaldehyde fixation. Evidence from these investigations supports sucrose-embedding without ice matrix as an alternative preparatory technique for IR-MALDESI-MSI.
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Affiliation(s)
- Mary F Wang
- Department of Chemistry, North Carolina State University, Raleigh, North Carolina 27695, United States
| | - Alexandria L Sohn
- Department of Chemistry, North Carolina State University, Raleigh, North Carolina 27695, United States
| | - Juhi Samal
- Department of Biomedical Engineering, Duke University, Durham, North Carolina 27708, United States
| | - Kevin Erning
- Department of Biomedical Engineering, Duke University, Durham, North Carolina 27708, United States
| | - Tatiana Segura
- Department of Biomedical Engineering, Duke University, Durham, North Carolina 27708, United States
| | - David C Muddiman
- Department of Chemistry, North Carolina State University, Raleigh, North Carolina 27695, United States
- Molecular Education, Technology and Research Innovation Center, North Carolina State University, Raleigh, North Carolina 27695, United States
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12
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Villarreal J, Kow K, Pham B, Egatz-Gomez A, Sandrin TR, Coleman PD, Ros A. Intracellular Amyloid-β Detection from Human Brain Sections Using a Microfluidic Immunoassay in Tandem with MALDI-MS. Anal Chem 2023; 95:5522-5531. [PMID: 36894164 PMCID: PMC10078609 DOI: 10.1021/acs.analchem.2c03825] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2022] [Accepted: 02/23/2023] [Indexed: 03/11/2023]
Abstract
Alzheimer's disease (AD) currently affects more than 30 million people worldwide. The lack of understanding of AD's physiopathology limits the development of therapeutic and diagnostic tools. Soluble amyloid-β peptide (Aβ) oligomers that appear as intermediates along the Aβ aggregation into plaques are considered among the main AD neurotoxic species. Although a wealth of data are available about Aβ from in vitro and animal models, there is little known about intracellular Aβ in human brain cells, mainly due to the lack of technology to assess the intracellular protein content. The elucidation of the Aβ species in specific brain cell subpopulations can provide insight into the role of Aβ in AD and the neurotoxic mechanism involved. Here, we report a microfluidic immunoassay for in situ mass spectrometry analysis of intracellular Aβ species from archived human brain tissue. This approach comprises the selective laser dissection of individual pyramidal cell bodies from tissues, their transfer to the microfluidic platform for sample processing on-chip, and mass spectrometric characterization. As a proof-of-principle, we demonstrate the detection of intracellular Aβ species from as few as 20 human brain cells.
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Affiliation(s)
- Jorvani
Cruz Villarreal
- School
of Molecular Sciences, Arizona State University, Tempe, Arizona 85287, United States
- Center
for Applied Structural Discovery, The Biodesign Institute, Arizona State University, Tempe, Arizona 85287, United States
| | - Keegan Kow
- School
of Molecular Sciences, Arizona State University, Tempe, Arizona 85287, United States
- Center
for Applied Structural Discovery, The Biodesign Institute, Arizona State University, Tempe, Arizona 85287, United States
| | - Brian Pham
- School
of Molecular Sciences, Arizona State University, Tempe, Arizona 85287, United States
- Center
for Applied Structural Discovery, The Biodesign Institute, Arizona State University, Tempe, Arizona 85287, United States
| | - Ana Egatz-Gomez
- School
of Molecular Sciences, Arizona State University, Tempe, Arizona 85287, United States
- Center
for Applied Structural Discovery, The Biodesign Institute, Arizona State University, Tempe, Arizona 85287, United States
| | - Todd R. Sandrin
- School
of Mathematical and Natural Sciences, Arizona
State University, Glendale, Arizona 85306, United States
- Julie
Ann Wrigley Global Futures Laboratory, Arizona
State University, Glendale, Arizona 85306, United States
| | - Paul D. Coleman
- Banner
ASU Neurodegenerative Research Center, The Biodesign Institute, Arizona State University, Tempe, Arizona 85287, United States
| | - Alexandra Ros
- School
of Molecular Sciences, Arizona State University, Tempe, Arizona 85287, United States
- Center
for Applied Structural Discovery, The Biodesign Institute, Arizona State University, Tempe, Arizona 85287, United States
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13
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Applications of mass spectroscopy in understanding cancer proteomics. Proteomics 2023. [DOI: 10.1016/b978-0-323-95072-5.00007-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/01/2023]
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14
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Zhu X, Xu T, Peng C, Wu S. Advances in MALDI Mass Spectrometry Imaging Single Cell and Tissues. Front Chem 2022; 9:782432. [PMID: 35186891 PMCID: PMC8850921 DOI: 10.3389/fchem.2021.782432] [Citation(s) in RCA: 42] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 11/17/2021] [Indexed: 12/26/2022] Open
Abstract
Compared with conventional optical microscopy techniques, mass spectrometry imaging (MSI) or imaging mass spectrometry (IMS) is a powerful, label-free analytical technique, which can sensitively and simultaneously detect, quantify, and map hundreds of biomolecules, such as peptides, proteins, lipid, and other organic compounds in cells and tissues. So far, although several soft ionization techniques, such as desorption electrospray ionization (DESI) and secondary ion mass spectrometry (SIMS) have been used for imaging biomolecules, matrix-assisted laser desorption/ionization (MALDI) is still the most widespread MSI scanning method. Here, we aim to provide a comprehensive review of MALDI-MSI with an emphasis on its advances of the instrumentation, methods, application, and future directions in single cell and biological tissues.
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Affiliation(s)
- Xiaoping Zhu
- Joint Research Centre for Engineering Biology, Zhejiang University-University of Edinburgh Institute, Zhejiang University, Haining, China
- Research Center of Siyuan Natural Pharmacy and Biotoxicology, College of Life Sciences, Zhejiang University, Hangzhou, China
| | - Tianyi Xu
- Joint Research Centre for Engineering Biology, Zhejiang University-University of Edinburgh Institute, Zhejiang University, Haining, China
- Research Center of Siyuan Natural Pharmacy and Biotoxicology, College of Life Sciences, Zhejiang University, Hangzhou, China
| | - Chen Peng
- Research Center of Siyuan Natural Pharmacy and Biotoxicology, College of Life Sciences, Zhejiang University, Hangzhou, China
| | - Shihua Wu
- Joint Research Centre for Engineering Biology, Zhejiang University-University of Edinburgh Institute, Zhejiang University, Haining, China
- Research Center of Siyuan Natural Pharmacy and Biotoxicology, College of Life Sciences, Zhejiang University, Hangzhou, China
- *Correspondence: Shihua Wu, ; Shihua Wu,
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15
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Noun M, Akoumeh R, Abbas I. Cell and Tissue Imaging by TOF-SIMS and MALDI-TOF: An Overview for Biological and Pharmaceutical Analysis. MICROSCOPY AND MICROANALYSIS : THE OFFICIAL JOURNAL OF MICROSCOPY SOCIETY OF AMERICA, MICROBEAM ANALYSIS SOCIETY, MICROSCOPICAL SOCIETY OF CANADA 2022; 28:1-26. [PMID: 34809729 DOI: 10.1017/s1431927621013593] [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] [Indexed: 06/13/2023]
Abstract
The potential of mass spectrometry imaging (MSI) has been demonstrated in cell and tissue research since 1970. MSI can reveal the spatial distribution of a wide range of atomic and molecular ions detected from biological sample surfaces, it is a powerful and valuable technique used to monitor and detect diverse chemical and biological compounds, such as drugs, lipids, proteins, and DNA. MSI techniques, notably matrix-assisted laser desorption/ionization time of flight (MALDI-TOF) and time of flight secondary ion mass spectrometry (TOF-SIMS), witnessed a dramatic upsurge in studying and investigating biological samples especially, cells and tissue sections. This advancement is attributed to the submicron lateral resolution, the high sensitivity, the good precision, and the accurate chemical specificity, which make these techniques suitable for decoding and understanding complex mechanisms of certain diseases, as well as monitoring the spatial distribution of specific elements, and compounds. While the application of both techniques for the analysis of cells and tissues is thoroughly discussed, a briefing of MALDI-TOF and TOF-SIMS basis and the adequate sampling before analysis are briefly covered. The importance of MALDI-TOF and TOF-SIMS as diagnostic tools and robust analytical techniques in the medicinal, pharmaceutical, and toxicology fields is highlighted through representative published studies.
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Affiliation(s)
- Manale Noun
- Lebanese Atomic Energy Commission - NCSR, Beirut, Lebanon
| | - Rayane Akoumeh
- Lebanese Atomic Energy Commission - NCSR, Beirut, Lebanon
| | - Imane Abbas
- Lebanese Atomic Energy Commission - NCSR, Beirut, Lebanon
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16
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Santilli AML, Ren K, Oleschuk R, Kaufmann M, Rudan J, Fichtinger G, Mousavi P. Application of Intraoperative Mass Spectrometry and Data Analytics for Oncological Margin Detection, A Review. IEEE Trans Biomed Eng 2022; 69:2220-2232. [PMID: 34982670 DOI: 10.1109/tbme.2021.3139992] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
OBJECTIVE A common phase of early-stage oncological treatment is the surgical resection of cancerous tissue. The presence of cancer cells on the resection margin, referred to as positive margin, is correlated with the recurrence of cancer and may require re-operation, negatively impacting many facets of patient outcomes. There exists a significant gap in the surgeons ability to intraoperatively delineate between tissues. Mass spectrometry methods have shown considerable promise as intraoperative tissue profiling tools that can assist with the complete resection of cancer. To do so, the vastness of the information collected through these modalities must be digested, relying on robust and efficient extraction of insights through data analysis pipelines. METHODS We review clinical mass spectrometry literature and prioritize intraoperatively applied modalities. We also survey the data analysis methods employed in these studies. RESULTS Our review outlines the advantages and shortcomings of mass spectrometry imaging and point-based tissue probing methods. For each modality, we identify statistical, linear transformation and machine learning techniques that demonstrate high performance in classifying cancerous tissues across several organ systems. A limited number of studies presented results captured intraoperatively. CONCLUSION Through continued research of data centric techniques, like mass spectrometry, and the development of robust analysis approaches, intraoperative margin assessment is becoming feasible. SIGNIFICANCE By establishing the relatively short history of mass spectrometry techniques applied to surgical studies, we hope to inform future applications and aid in the selection of suitable data analysis frameworks for the development of intraoperative margin detection technologies.
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17
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Lee PY, Yeoh Y, Omar N, Pung YF, Lim LC, Low TY. Molecular tissue profiling by MALDI imaging: recent progress and applications in cancer research. Crit Rev Clin Lab Sci 2021; 58:513-529. [PMID: 34615421 DOI: 10.1080/10408363.2021.1942781] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Matrix-assisted laser desorption/ionization (MALDI) imaging is an emergent technology that has been increasingly adopted in cancer research. MALDI imaging is capable of providing global molecular mapping of the abundance and spatial information of biomolecules directly in the tissues without labeling. It enables the characterization of a wide spectrum of analytes, including proteins, peptides, glycans, lipids, drugs, and metabolites and is well suited for both discovery and targeted analysis. An advantage of MALDI imaging is that it maintains tissue integrity, which allows correlation with histological features. It has proven to be a valuable tool for probing tumor heterogeneity and has been increasingly applied to interrogate molecular events associated with cancer. It provides unique insights into both the molecular content and spatial details that are not accessible by other techniques, and it has allowed considerable progress in the field of cancer research. In this review, we first provide an overview of the MALDI imaging workflow and approach. We then highlight some useful applications in various niches of cancer research, followed by a discussion of the challenges, recent developments and future prospect of this technique in the field.
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Affiliation(s)
- Pey Yee Lee
- UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Yeelon Yeoh
- UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Nursyazwani Omar
- UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Yuh-Fen Pung
- Division of Biomedical Science, University of Nottingham Malaysia, Selangor, Malaysia
| | - Lay Cheng Lim
- Department of Life Sciences, School of Pharmacy, International Medical University (IMU), Kuala Lumpur, Malaysia
| | - Teck Yew Low
- UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
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18
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Sementé L, Baquer G, García-Altares M, Correig-Blanchar X, Ràfols P. rMSIannotation: A peak annotation tool for mass spectrometry imaging based on the analysis of isotopic intensity ratios. Anal Chim Acta 2021; 1171:338669. [PMID: 34112434 DOI: 10.1016/j.aca.2021.338669] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 05/12/2021] [Accepted: 05/20/2021] [Indexed: 11/15/2022]
Abstract
Mass spectrometry imaging (MSI) consist of spatially located spectra with thousands of peaks. Only a fraction of these peaks corresponds to unique monoisotopic peaks, as mass spectra include isotopes, adducts and fragments of compounds. Current peak annotation solutions depend on matching MS features to compounds libraries. We present rMSIannotation, a peak annotation algorithm to annotate carbon isotopes and adducts in metabolomics and lipidomics imaging mass spectrometry datasets without using supporting libraries. rMSIannotation measures and evaluates the intensity ratio between carbon isotopic peaks and models their distribution across the m/z axis of the compounds in the Human Metabolome Database. Monoisotopic peak selection is based on the isotopic likelihood score (ILS) made of three components: image morphology correlation, validation of isotopic intensity ratios, and peak centroid mass deviation. rMSIannotation proposes pairs of peaks that can be adducts based on three scores: isotopic pattern coherence, image correlation and mass error. We validated rMSIannotation with three MALDI-MSI datasets which were manually annotated by experts, and compared the annotations obtained with rMSIannotation and with the METASPACE annotation platform. rMSIannotation replicated more than 90% of the manual annotation reported in FT-ICR datasets and expanded the list of annotated compounds with additional monoisotopic peaks and neutral masses. Finally, we evaluated isotopic peak annotation as a data reduction method for MSI by comparing the results of PCA and k-means segmentation before and after removing non-monoisotopic peaks. The results show that monoisotopic peaks retain most of the biologic variance in the dataset.
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Affiliation(s)
- Lluc Sementé
- University Rovira I Virgili, Department of Electronic Engineering, Tarragona, Spain
| | - Gerard Baquer
- University Rovira I Virgili, Department of Electronic Engineering, Tarragona, Spain
| | - María García-Altares
- University Rovira I Virgili, Department of Electronic Engineering, Tarragona, Spain; Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), 28029, Madrid, Spain.
| | - Xavier Correig-Blanchar
- University Rovira I Virgili, Department of Electronic Engineering, Tarragona, Spain; Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), 28029, Madrid, Spain; Institut D'Investigació Sanitària Pere Virgili, Tarragona, Spain
| | - Pere Ràfols
- University Rovira I Virgili, Department of Electronic Engineering, Tarragona, Spain; Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), 28029, Madrid, Spain; Institut D'Investigació Sanitària Pere Virgili, Tarragona, Spain
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19
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Andrews WT, Bickner AN, Tobias F, Ryan KA, Bruening ML, Hummon AB. Electroblotting through Enzymatic Membranes to Enhance Molecular Tissue Imaging. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2021; 32:1689-1699. [PMID: 34110793 PMCID: PMC9241434 DOI: 10.1021/jasms.1c00046] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
Abstract
MALDI-TOF mass spectrometry imaging (MSI) is a powerful tool for studying biomolecule localization in tissue. Protein distributions in tissue provide important histological information; however, large proteins exhibit a high limit of detection in MALDI-MS when compared to their corresponding smaller proteolytic peptides. As a result, several techniques have emerged to digest proteins into more detectable peptides for imaging. Digestion is typically accomplished through trypsin deposition on the tissue, but this technique increases the complexity of the tissue microenvironment, which can limit the number of detectable species. This proof-of-principle study explores tryptic tissue digestion during electroblotting through a trypsin-containing membrane. This approach actively extracts and enzymatically digests proteins from mouse brain tissue sections while simultaneously reducing the complexity of the tissue microenvironment (compared to trypsin deposition on the surface) to obtain an increased number of detectable peptide fragments. The method does not greatly compromise spatial location or require expensive devices to uniformly deposit trypsin on tissue. Using electrodigestion through membranes, we detected and tentatively identified several tryptic peptides that were not observed after on-tissue digestion. Moreover, the use of pepsin rather than trypsin in digestion membranes allows extraction and digestion at low pH to detect peptides from a complementary subset of tissue proteins. Future studies will aim to further improve the method, including changing the substrate membrane to increase spatial resolution and the number of detected peptides.
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Affiliation(s)
| | | | - Fernando Tobias
- Department of Chemistry and Biochemistry, Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio 43210, United States
| | | | | | - Amanda B Hummon
- Department of Chemistry and Biochemistry, Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio 43210, United States
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20
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Bickner AN, Champion MM, Hummon AB, Bruening ML. Electroblotting through a tryptic membrane for LC-MS/MS analysis of proteins separated in electrophoretic gels. Analyst 2021; 145:7724-7735. [PMID: 33000802 DOI: 10.1039/d0an01380c] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023]
Abstract
Digestion of proteins separated via sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS-PAGE) remains a popular method for protein identification using mass-spectrometry based proteomics. Although robust and routine, the in-gel digestion procedure is laborious and time-consuming. Electroblotting to a capture membrane prior to digestion reduces preparation steps but requires on-membrane digestion that yields fewer peptides than in-gel digestion. This paper develops direct electroblotting through a trypsin-containing membrane to a capture membrane to simplify extraction and digestion of proteins separated by SDS-PAGE. Subsequent liquid chromatography-tandem mass spectrometry (LC-MS/MS) identifies the extracted peptides. Analysis of peptides from different capture membrane pieces shows that electrodigestion does not greatly disturb the spatial resolution of a standard protein mixture separated by SDS-PAGE. Electrodigestion of an Escherichia coli (E. coli) cell lysate requires four hours of total sample preparation and results in only 13% fewer protein identifications than in-gel digestion, which can take 24 h. Compared to simple electroblotting and protein digestion on a poly(vinylidene difluoride) (PVDF) capture membrane, adding a trypsin membrane to the electroblot increases the number of protein identifications by 22%. Additionally, electrodigestion experiments using capture membranes coated with polyelectrolyte layers identify a higher fraction of small proteolytic peptides than capture on PVDF or in-gel digestion.
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Affiliation(s)
- A N Bickner
- Department of Chemistry and Biochemistry University of Notre Dame, Notre Dame, Indiana 46556, USA.
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21
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Abstract
Mass spectrometry imaging (MSI) is a powerful, label-free technique that provides detailed maps of hundreds of molecules in complex samples with high sensitivity and subcellular spatial resolution. Accurate quantification in MSI relies on a detailed understanding of matrix effects associated with the ionization process along with evaluation of the extraction efficiency and mass-dependent ion losses occurring in the analysis step. We present a critical summary of approaches developed for quantitative MSI of metabolites, lipids, and proteins in biological tissues and discuss their current and future applications.
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Affiliation(s)
- Daisy Unsihuay
- Department of Chemistry, Purdue University, West Lafayette, Indiana 47907, USA; , ,
| | - Daniela Mesa Sanchez
- Department of Chemistry, Purdue University, West Lafayette, Indiana 47907, USA; , ,
| | - Julia Laskin
- Department of Chemistry, Purdue University, West Lafayette, Indiana 47907, USA; , ,
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22
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Hu X, He H. A review of cosmetic skin delivery. J Cosmet Dermatol 2021; 20:2020-2030. [PMID: 33655674 DOI: 10.1111/jocd.14037] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2020] [Revised: 02/06/2021] [Accepted: 02/22/2021] [Indexed: 11/27/2022]
Abstract
BACKGROUND Cosmetic Skin Delivery has a very important impact on the action of cosmetics. More and more cosmetic manufacturers are focusing on cosmetic delivery. Meanwhile, it also brings safety issues and the customization of national laws and regulations. OBJECTIVES This paper reviews the theoretical knowledge about cosmetic skin delivery and evaluation methods. METHODS An extensive literature search was conducted using PubMed, Web of Science, and other databases for articles on transdermal/skin delivery in cosmetics from 1985 to 2020. RESULTS The importance of skin delivery in cosmetics is outlined. The structure of the skin and the skin barrier, including delivery pathways available to cosmetic molecules in three modalities are introduced. The laws and regulations of various countries on nanomaterials for cosmetics are listed. The in vitro skin absorption test methods for cosmetics are briefly reviewed. Furthermore, the prospect of future skin penetration methods for cosmetics is presented. CONCLUSIONS Currently, various methods to enhance and evaluate cosmetic delivery through skin are available. However, there are no unified domestic and international laws and regulations about evaluation of transdermal delivery. This article provides a new perspective on the development of novel permeation enhancement technologies.
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Affiliation(s)
- Xueqing Hu
- Beijing Key Laboratory of Plant Resources Research and Development, College of Chemistry and Materials Engineering, Beijing Technology and Business University, Beijing, China.,Key Laboratory of Cosmetic of China National Light Industry, College of Chemistry and Materials Engineering, Beijing Technology and Business University, Beijing, China
| | - Huaming He
- Beijing Key Laboratory of Plant Resources Research and Development, College of Chemistry and Materials Engineering, Beijing Technology and Business University, Beijing, China.,Key Laboratory of Cosmetic of China National Light Industry, College of Chemistry and Materials Engineering, Beijing Technology and Business University, Beijing, China
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23
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Habib A, Bi L, Hong H, Wen L. Challenges and Strategies of Chemical Analysis of Drugs of Abuse and Explosives by Mass Spectrometry. Front Chem 2021; 8:598487. [PMID: 33537286 PMCID: PMC7847941 DOI: 10.3389/fchem.2020.598487] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2020] [Accepted: 12/04/2020] [Indexed: 01/25/2023] Open
Abstract
In analytical science, mass spectrometry (MS) is known as a "gold analytical tool" because of its unique character of providing the direct molecular structural information of the relevant analyte molecules. Therefore, MS technique has widely been used in all branches of chemistry along with in proteomics, metabolomics, genomics, lipidomics, environmental monitoring etc. Mass spectrometry-based methods are very much needed for fast and reliable detection and quantification of drugs of abuse and explosives in order to provide fingerprint information for criminal investigation as well as for public security and safety at public places, respectively. Most of the compounds exist as their neutral form in nature except proteins, peptides, nucleic acids that are in ionic forms intrinsically. In MS, ion source is the heart of the MS that is used for ionizing the electrically neutral molecules. Performance of MS in terms of sensitivity and selectivity depends mainly on the efficiency of the ionization source. Accordingly, much attention has been paid to develop efficient ion sources for a wide range of compounds. Unfortunately, none of the commercial ion sources can be used for ionization of different types of compounds. Moreover, in MS, analyte molecules must be released into the gaseous phase and then ionize by using a suitable ion source for detection/quantification. Under these circumstances, fabrication of new ambient ion source and ultrasonic cutter blade-based non-thermal and thermal desorption methods have been taken into account. In this paper, challenges and strategies of mass spectrometry analysis of the drugs of abuse and explosives through fabrication of ambient ionization sources and new desorption methods for non-volatile compounds have been described. We will focus the literature progress mostly in the last decade and present our views for the future study.
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Affiliation(s)
- Ahsan Habib
- The Research Institute of Advanced Technologies, Ningbo University, Ningbo, China
- Department of Chemistry, University of Dhaka, Dhaka, Bangladesh
| | - Lei Bi
- The Research Institute of Advanced Technologies, Ningbo University, Ningbo, China
- China Innovation Instrument Co., Ltd., Ningbo, China
| | - Huanhuan Hong
- The Research Institute of Advanced Technologies, Ningbo University, Ningbo, China
- China Innovation Instrument Co., Ltd., Ningbo, China
| | - Luhong Wen
- The Research Institute of Advanced Technologies, Ningbo University, Ningbo, China
- China Innovation Instrument Co., Ltd., Ningbo, China
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24
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Hendrickx JO, van Gastel J, Leysen H, Martin B, Maudsley S. High-dimensionality Data Analysis of Pharmacological Systems Associated with Complex Diseases. Pharmacol Rev 2020; 72:191-217. [PMID: 31843941 DOI: 10.1124/pr.119.017921] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022] Open
Abstract
It is widely accepted that molecular reductionist views of highly complex human physiologic activity, e.g., the aging process, as well as therapeutic drug efficacy are largely oversimplifications. Currently some of the most effective appreciation of biologic disease and drug response complexity is achieved using high-dimensionality (H-D) data streams from transcriptomic, proteomic, metabolomics, or epigenomic pipelines. Multiple H-D data sets are now common and freely accessible for complex diseases such as metabolic syndrome, cardiovascular disease, and neurodegenerative conditions such as Alzheimer's disease. Over the last decade our ability to interrogate these high-dimensionality data streams has been profoundly enhanced through the development and implementation of highly effective bioinformatic platforms. Employing these computational approaches to understand the complexity of age-related diseases provides a facile mechanism to then synergize this pathologic appreciation with a similar level of understanding of therapeutic-mediated signaling. For informative pathology and drug-based analytics that are able to generate meaningful therapeutic insight across diverse data streams, novel informatics processes such as latent semantic indexing and topological data analyses will likely be important. Elucidation of H-D molecular disease signatures from diverse data streams will likely generate and refine new therapeutic strategies that will be designed with a cognizance of a realistic appreciation of the complexity of human age-related disease and drug effects. We contend that informatic platforms should be synergistic with more advanced chemical/drug and phenotypic cellular/tissue-based analytical predictive models to assist in either de novo drug prioritization or effective repurposing for the intervention of aging-related diseases. SIGNIFICANCE STATEMENT: All diseases, as well as pharmacological mechanisms, are far more complex than previously thought a decade ago. With the advent of commonplace access to technologies that produce large volumes of high-dimensionality data (e.g., transcriptomics, proteomics, metabolomics), it is now imperative that effective tools to appreciate this highly nuanced data are developed. Being able to appreciate the subtleties of high-dimensionality data will allow molecular pharmacologists to develop the most effective multidimensional therapeutics with effectively engineered efficacy profiles.
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Affiliation(s)
- Jhana O Hendrickx
- Receptor Biology Laboratory, Department of Biomedical Research (J.O.H., J.v.G., H.L., S.M.) and Faculty of Pharmacy, Biomedical and Veterinary Sciences (J.O.H., J.v.G., H.L., B.M., S.M.), University of Antwerp, Antwerp, Belgium
| | - Jaana van Gastel
- Receptor Biology Laboratory, Department of Biomedical Research (J.O.H., J.v.G., H.L., S.M.) and Faculty of Pharmacy, Biomedical and Veterinary Sciences (J.O.H., J.v.G., H.L., B.M., S.M.), University of Antwerp, Antwerp, Belgium
| | - Hanne Leysen
- Receptor Biology Laboratory, Department of Biomedical Research (J.O.H., J.v.G., H.L., S.M.) and Faculty of Pharmacy, Biomedical and Veterinary Sciences (J.O.H., J.v.G., H.L., B.M., S.M.), University of Antwerp, Antwerp, Belgium
| | - Bronwen Martin
- Receptor Biology Laboratory, Department of Biomedical Research (J.O.H., J.v.G., H.L., S.M.) and Faculty of Pharmacy, Biomedical and Veterinary Sciences (J.O.H., J.v.G., H.L., B.M., S.M.), University of Antwerp, Antwerp, Belgium
| | - Stuart Maudsley
- Receptor Biology Laboratory, Department of Biomedical Research (J.O.H., J.v.G., H.L., S.M.) and Faculty of Pharmacy, Biomedical and Veterinary Sciences (J.O.H., J.v.G., H.L., B.M., S.M.), University of Antwerp, Antwerp, Belgium
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25
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Ivanov DG, Pekov SI, Bocharov KV, Bormotov DS, Spasskiy AI, Zhvansky ES, Sorokin AA, Eliferov VA, Zavorotnyuk DS, Tkachenko SI, Khaliullin IG, Kuksin AY, Shurkhay VA, Kononikhin AS, Nikolaev EN, Popov IA. Novel Mass Spectrometric Utilities for Assisting in Oncological Surgery. RUSSIAN JOURNAL OF PHYSICAL CHEMISTRY B 2020. [DOI: 10.1134/s1990793120030173] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
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26
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Butler LM, Perone Y, Dehairs J, Lupien LE, de Laat V, Talebi A, Loda M, Kinlaw WB, Swinnen JV. Lipids and cancer: Emerging roles in pathogenesis, diagnosis and therapeutic intervention. Adv Drug Deliv Rev 2020; 159:245-293. [PMID: 32711004 PMCID: PMC7736102 DOI: 10.1016/j.addr.2020.07.013] [Citation(s) in RCA: 285] [Impact Index Per Article: 71.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2020] [Revised: 07/02/2020] [Accepted: 07/16/2020] [Indexed: 02/06/2023]
Abstract
With the advent of effective tools to study lipids, including mass spectrometry-based lipidomics, lipids are emerging as central players in cancer biology. Lipids function as essential building blocks for membranes, serve as fuel to drive energy-demanding processes and play a key role as signaling molecules and as regulators of numerous cellular functions. Not unexpectedly, cancer cells, as well as other cell types in the tumor microenvironment, exploit various ways to acquire lipids and extensively rewire their metabolism as part of a plastic and context-dependent metabolic reprogramming that is driven by both oncogenic and environmental cues. The resulting changes in the fate and composition of lipids help cancer cells to thrive in a changing microenvironment by supporting key oncogenic functions and cancer hallmarks, including cellular energetics, promoting feedforward oncogenic signaling, resisting oxidative and other stresses, regulating intercellular communication and immune responses. Supported by the close connection between altered lipid metabolism and the pathogenic process, specific lipid profiles are emerging as unique disease biomarkers, with diagnostic, prognostic and predictive potential. Multiple preclinical studies illustrate the translational promise of exploiting lipid metabolism in cancer, and critically, have shown context dependent actionable vulnerabilities that can be rationally targeted, particularly in combinatorial approaches. Moreover, lipids themselves can be used as membrane disrupting agents or as key components of nanocarriers of various therapeutics. With a number of preclinical compounds and strategies that are approaching clinical trials, we are at the doorstep of exploiting a hitherto underappreciated hallmark of cancer and promising target in the oncologist's strategy to combat cancer.
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Affiliation(s)
- Lisa M Butler
- Adelaide Medical School and Freemasons Foundation Centre for Men's Health, University of Adelaide, Adelaide, SA 5005, Australia; South Australian Health and Medical Research Institute, Adelaide, SA 5000, Australia
| | - Ylenia Perone
- Department of Surgery and Cancer, Imperial College London, Imperial Centre for Translational and Experimental Medicine, London, UK
| | - Jonas Dehairs
- Laboratory of Lipid Metabolism and Cancer, KU Leuven Cancer Institute, 3000 Leuven, Belgium
| | - Leslie E Lupien
- Program in Experimental and Molecular Medicine, Geisel School of Medicine at Dartmouth, 1 Medical Center Drive, Lebanon, NH 037560, USA
| | - Vincent de Laat
- Laboratory of Lipid Metabolism and Cancer, KU Leuven Cancer Institute, 3000 Leuven, Belgium
| | - Ali Talebi
- Laboratory of Lipid Metabolism and Cancer, KU Leuven Cancer Institute, 3000 Leuven, Belgium
| | - Massimo Loda
- Pathology and Laboratory Medicine, Weill Cornell Medical College, Cornell University, New York, NY 10065, USA
| | - William B Kinlaw
- The Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, 1 Medical Center Drive, Lebanon, NH 03756, USA
| | - Johannes V Swinnen
- Laboratory of Lipid Metabolism and Cancer, KU Leuven Cancer Institute, 3000 Leuven, Belgium.
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27
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Baquer G, Sementé L, García-Altares M, Lee YJ, Chaurand P, Correig X, Ràfols P. rMSIcleanup: an open-source tool for matrix-related peak annotation in mass spectrometry imaging and its application to silver-assisted laser desorption/ionization. J Cheminform 2020; 12:45. [PMID: 33431000 PMCID: PMC7374922 DOI: 10.1186/s13321-020-00449-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Accepted: 07/13/2020] [Indexed: 11/14/2022] Open
Abstract
Mass spectrometry imaging (MSI) has become a mature, widespread analytical technique to perform non-targeted spatial metabolomics. However, the compounds used to promote desorption and ionization of the analyte during acquisition cause spectral interferences in the low mass range that hinder downstream data processing in metabolomics applications. Thus, it is advisable to annotate and remove matrix-related peaks to reduce the number of redundant and non-biologically-relevant variables in the dataset. We have developed rMSIcleanup, an open-source R package to annotate and remove signals from the matrix, according to the matrix chemical composition and the spatial distribution of its ions. To validate the annotation method, rMSIcleanup was challenged with several images acquired using silver-assisted laser desorption ionization MSI (AgLDI MSI). The algorithm was able to correctly classify m/z signals related to silver clusters. Visual exploration of the data using Principal Component Analysis (PCA) demonstrated that annotation and removal of matrix-related signals improved spectral data post-processing. The results highlight the need for including matrix-related peak annotation tools such as rMSIcleanup in MSI workflows.![]()
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Affiliation(s)
- Gerard Baquer
- Department of Electronic Engineering, Rovira i Virgili University, Tarragona, Spain
| | - Lluc Sementé
- Department of Electronic Engineering, Rovira i Virgili University, Tarragona, Spain
| | - María García-Altares
- Department of Electronic Engineering, Rovira i Virgili University, Tarragona, Spain. .,Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), 28029, Madrid, Spain.
| | - Young Jin Lee
- Department of Chemistry, Iowa State University, Ames, IA, 50011, USA
| | - Pierre Chaurand
- Department of Chemistry, Université de Montréal, Montreal, QC, H3C 3J7, Canada
| | - Xavier Correig
- Department of Electronic Engineering, Rovira i Virgili University, Tarragona, Spain.,Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), 28029, Madrid, Spain.,Institut d'Investigació Sanitària Pere Virgili, Tarragona, Spain
| | - Pere Ràfols
- Department of Electronic Engineering, Rovira i Virgili University, Tarragona, Spain.,Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), 28029, Madrid, Spain.,Institut d'Investigació Sanitària Pere Virgili, Tarragona, Spain
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28
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Bastrup J, Birkelund S, Asuni AA, Volbracht C, Stensballe A. Dual strategy for reduced signal-suppression effects in matrix-assisted laser desorption/ionization mass spectrometry imaging. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2019; 33:1711-1721. [PMID: 31307118 DOI: 10.1002/rcm.8521] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/26/2018] [Revised: 05/16/2019] [Accepted: 07/01/2019] [Indexed: 06/10/2023]
Abstract
RATIONALE The molecular complexity of tissue features several signal-suppression effects which reduce the ionization of analytes significantly and thereby weakens the quality of matrix-assisted laser desorption/ionization (MALDI) mass spectrometry (MS) imaging (MALDI imaging). We report a novel approach in MALDI imaging by reducing signal-suppression effects for the analysis of beta-amyloid (Aβ) plaques, one pathological hallmark of Alzheimer's disease (AD). METHODS We analyzed Aβ proteoforms from postmortem AD brains and brains from transgenic mice (APPPS1-21) overexpressing familial AD mutations by combining two techniques: (1) laser capture microdissection (LCM) to accumulate Aβ plaques and (2) phosphoric acid (PA) as additive to the super-2,5-dihydroxybenzoic acid matrix. RESULTS LCM and MALDI-MS enabled tandem mass spectrometric fragmentation of stained Aβ plaques. PA improved the signal-to-noise (S/N) ratio, especially of the Aβ1-42 peptide, by three-fold compared with the standard matrix additive trifluoroacetic acid. The beneficial effect of the PA matrix additive in MALDI imaging was particularly important for AD brain tissue. We identified several significant differences in Aβ plaque composition from AD compared with APPPS1-21, underlining the value of reducing signal-suppressing effects in MALDI imaging. CONCLUSIONS We present a novel strategy for overcoming signal-suppression effects in MALDI imaging of Aβ proteoforms.
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Affiliation(s)
- Joakim Bastrup
- Department of Health Science and Technology, Aalborg University, 9220, Aalborg East, Denmark
- Neuroscience, H. Lundbeck A/S, Ottiliavej 9, 2500 Valby, Denmark
| | - Svend Birkelund
- Department of Health Science and Technology, Aalborg University, 9220, Aalborg East, Denmark
| | - Ayodeji A Asuni
- Neuroscience, H. Lundbeck A/S, Ottiliavej 9, 2500 Valby, Denmark
| | | | - Allan Stensballe
- Department of Health Science and Technology, Aalborg University, 9220, Aalborg East, Denmark
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29
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Michno W, Wehrli P, Meier SR, Sehlin D, Syvänen S, Zetterberg H, Blennow K, Hanrieder J. Chemical imaging of evolving amyloid plaque pathology and associated Aβ peptide aggregation in a transgenic mouse model of Alzheimer’s disease. J Neurochem 2019; 152:602-616. [DOI: 10.1111/jnc.14888] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2019] [Revised: 10/01/2019] [Accepted: 10/06/2019] [Indexed: 12/15/2022]
Affiliation(s)
- Wojciech Michno
- Department of Psychiatry and Neurochemistry Sahlgrenska Academy at the University of Gothenburg Mölndal Sweden
| | - Patrick Wehrli
- Department of Psychiatry and Neurochemistry Sahlgrenska Academy at the University of Gothenburg Mölndal Sweden
| | - Silvio R. Meier
- Department of Public Health and Caring Sciences Uppsala University Uppsala Sweden
| | - Dag Sehlin
- Department of Public Health and Caring Sciences Uppsala University Uppsala Sweden
| | - Stina Syvänen
- Department of Public Health and Caring Sciences Uppsala University Uppsala 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
- UK Dementia Research Institute at UCL London UK
- Department of Neurodegenerative Disease, Queen Square Institute of Neurology University College London London UK
| | - 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, Queen Square Institute of Neurology University College London London UK
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30
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Mutuku SM, Trim PJ, Prabhala BK, Irani S, Bremert KL, Logan JM, Brooks DA, Stahl J, Centenera MM, Snel MF, Butler LM. Evaluation of Small Molecule Drug Uptake in Patient-Derived Prostate Cancer Explants by Mass Spectrometry. Sci Rep 2019; 9:15008. [PMID: 31628408 PMCID: PMC6802206 DOI: 10.1038/s41598-019-51549-3] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/05/2019] [Accepted: 10/01/2019] [Indexed: 02/06/2023] Open
Abstract
Patient-derived explant (PDE) culture of solid tumors is increasingly being applied to preclinical evaluation of novel therapeutics and for biomarker discovery. In this technique, treatments are added to culture medium and penetrate the tissue via a gelatin sponge scaffold. However, the penetration profile and final concentrations of small molecule drugs achieved have not been determined to date. Here, we determined the extent of absorption of the clinical androgen receptor antagonist, enzalutamide, into prostate PDEs, using liquid chromatography-tandem mass spectrometry (LC-MS/MS) and matrix-assisted laser/desorption ionisation (MALDI) mass spectrometry imaging (MSI). In a cohort of 11 PDE tissues from eight individual patients, LC-MS/MS quantification of PDE homogenates confirmed enzalutamide (10 µM) uptake by all PDEs, which reached maximal average tissue concentration of 0.24-0.50 ng/µg protein after 48 h culture. Time dependent uptake of enzalutamide (50 µM) in PDEs was visualized using MALDI MSI over 24-48 h, with complete penetration throughout tissues evident by 6 h of culture. Drug signal intensity was not homogeneous throughout the tissues but had areas of markedly high signal that corresponded to drug target (androgen receptor)-rich epithelial regions of tissue. In conclusion, application of MS-based drug quantification and visualization in PDEs, and potentially other 3-dimensional model systems, can provide a more robust basis for experimental study design and interpretation of pharmacodynamic data.
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Affiliation(s)
- Shadrack M Mutuku
- Adelaide Medical School, University of Adelaide, Adelaide, SA, 5005, Australia.,Prostate Cancer Research Group, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, SA, 5000, Australia
| | - Paul J Trim
- South Australian Health and Medical Research Institute (SAHMRI), Adelaide, SA, 5000, Australia
| | - Bala K Prabhala
- South Australian Health and Medical Research Institute (SAHMRI), Adelaide, SA, 5000, Australia.,Department of Drug Design and Pharmacology, University of Copenhagen, København, Denmark
| | - Swati Irani
- Adelaide Medical School, University of Adelaide, Adelaide, SA, 5005, Australia.,Prostate Cancer Research Group, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, SA, 5000, Australia.,Freemasons Foundation Centre for Men's Health, University of Adelaide, Adelaide, SA, 5005, Australia
| | - Kayla L Bremert
- Adelaide Medical School, University of Adelaide, Adelaide, SA, 5005, Australia.,Prostate Cancer Research Group, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, SA, 5000, Australia.,Freemasons Foundation Centre for Men's Health, University of Adelaide, Adelaide, SA, 5005, Australia
| | - Jessica M Logan
- Mechanisms in Cell Biology and Disease Research Group, School of Pharmacy and Medical Sciences, Cancer Research Institute, University of South Australia, Adelaide, SA, 5000, Australia
| | - Douglas A Brooks
- Mechanisms in Cell Biology and Disease Research Group, School of Pharmacy and Medical Sciences, Cancer Research Institute, University of South Australia, Adelaide, SA, 5000, Australia
| | - Jürgen Stahl
- Clinpath Laboratories, Adelaide, SA, 5000, Australia
| | - Margaret M Centenera
- Adelaide Medical School, University of Adelaide, Adelaide, SA, 5005, Australia.,Prostate Cancer Research Group, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, SA, 5000, Australia.,Freemasons Foundation Centre for Men's Health, University of Adelaide, Adelaide, SA, 5005, Australia
| | - Marten F Snel
- South Australian Health and Medical Research Institute (SAHMRI), Adelaide, SA, 5000, Australia
| | - Lisa M Butler
- Adelaide Medical School, University of Adelaide, Adelaide, SA, 5005, Australia. .,Prostate Cancer Research Group, South Australian Health and Medical Research Institute (SAHMRI), Adelaide, SA, 5000, Australia. .,Freemasons Foundation Centre for Men's Health, University of Adelaide, Adelaide, SA, 5005, Australia.
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31
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LIU F, ZHANG L, ZHANG ZX, ZHANG SC. Application of Matrix-Assisted Laser Desorption/Ionization Mass Spectrometric Imaging in Analysis of Medicinal Plants. CHINESE JOURNAL OF ANALYTICAL CHEMISTRY 2019. [DOI: 10.1016/s1872-2040(19)61178-3] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/26/2022]
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32
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Applications of MALDI mass spectrometry imaging for pharmacokinetic studies during drug development. Drug Metab Pharmacokinet 2019; 34:209-216. [DOI: 10.1016/j.dmpk.2019.04.006] [Citation(s) in RCA: 28] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2019] [Revised: 04/14/2019] [Accepted: 04/19/2019] [Indexed: 12/23/2022]
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33
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Strnad Š, Pražienková V, Sýkora D, Cvačka J, Maletínská L, Popelová A, Vrkoslav V. The use of 1,5-diaminonaphthalene for matrix-assisted laser desorption/ionization mass spectrometry imaging of brain in neurodegenerative disorders. Talanta 2019; 201:364-372. [DOI: 10.1016/j.talanta.2019.03.117] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2018] [Revised: 03/29/2019] [Accepted: 03/30/2019] [Indexed: 12/17/2022]
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Systematic evaluation of repeatability of IR-MALDESI-MS and normalization strategies for correcting the analytical variation and improving image quality. Anal Bioanal Chem 2019; 411:5729-5743. [PMID: 31240357 DOI: 10.1007/s00216-019-01953-5] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2019] [Revised: 05/21/2019] [Accepted: 05/28/2019] [Indexed: 12/20/2022]
Abstract
Mass spectrometry imaging is a powerful tool widely used in biological, clinical, and forensic research, but its often poor repeatability limits its application for quantitative and large-scale analysis. A systematic evaluation of infrared matrix-assisted laser desorption electrospray ionization mass spectrometry (IR-MALDESI-MS) repeatability in absolute ion abundances during short- and long-term experiments was carried out on liver slices from the same rat with minimal biological variability to be expected. Results of median %RSDs ranging from 14 to 45, pooled %RMADs ranging from 11 to 33, and Pearson correlation coefficients ranging from 0.83 to 1.00 demonstrated an acceptable repeatability of IR-MALDESI-MS. Normalization is commonly applied for the purpose of accounting for analytical variability of spectra generated from different runs so as to reveal real biological differences. Nine data normalization strategies were performed on the rat liver data sets to examine their effects on reducing analytical variation, and further on a hen ovary data set containing more morphological features for the investigation of their impact on ion images. Results demonstrated that the majority of normalization approaches benefit data quality to some extent, and local normalization methods significantly outperform their global counterparts, resulting in a reduction of median %RSD up to 22. Local median normalization was found to be promisingly robust for both homogeneous and heterogeneous samples.
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35
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Kempa EE, Hollywood KA, Smith CA, Barran PE. High throughput screening of complex biological samples with mass spectrometry – from bulk measurements to single cell analysis. Analyst 2019; 144:872-891. [DOI: 10.1039/c8an01448e] [Citation(s) in RCA: 45] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
We review the state of the art in HTS using mass spectrometry with minimal sample preparation from complex biological matrices. We focus on industrial and biotechnological applications.
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Affiliation(s)
- Emily E. Kempa
- Michael Barber Centre for Collaborative Mass Spectrometry
- Manchester Institute of Biotechnology
- The University of Manchester
- Manchester
- UK
| | - Katherine A. Hollywood
- Manchester Centre for Synthetic Biology of Fine and Speciality Chemicals (SYNBIOCHEM)
- Manchester Institute of Biotechnology
- The University of Manchester
- Manchester M1 7DN
- UK
| | - Clive A. Smith
- Sphere Fluidics Limited
- The Jonas-Webb Building
- Babraham Research Campus
- Cambridge
- UK
| | - Perdita E. Barran
- Michael Barber Centre for Collaborative Mass Spectrometry
- Manchester Institute of Biotechnology
- The University of Manchester
- Manchester
- UK
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36
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Andrews WT, Skube SB, Hummon AB. Magnetic bead-based peptide extraction methodology for tissue imaging. Analyst 2018; 143:133-140. [PMID: 29119981 DOI: 10.1039/c7an00757d] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
MALDI-TOF imaging mass spectrometry (IMS) is a common technique used for analyzing tissue samples, as it allows the user to detect multiple different analytes simultaneously. However, the detection and analysis of these analytes may sometimes be hampered due to the presence of contaminants in the tissue microenvironment, which leads to ion suppression. This challenge necessitates the development of an active extraction technique to selectively isolate analytes of interest without compromising their spatial localization within a tissue sample. This study proposes a magnetic bead-based active extraction approach to selectively sequester peptides of interest from tissue samples. The technique utilizes a heterobifunctional cross-linker to covalently bind peptides with free primary amine groups to functionalized magnetic beads. The cross-linked peptides can then be collected using a transfer magnet and imaged using MALDI-TOF IMS. We have established that this technique not only successfully isolates peptides both in-solution and on a solid surface, but also extracts peptides from a tissue section without significantly compromising their spatial localization. This novel method provides the means to detect a unique subset of peptides from tissue sections when compared to unextracted tryptically digested tissue, all while minimizing the presence of contaminants and maintaining spatial localization.
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Affiliation(s)
- William T Andrews
- Department of Chemistry and Biochemistry, Harper Cancer Research Institute, University of Notre Dame, Notre Dame, IN 46556, USA.
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37
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Ding F, Qian Y, Deng Z, Zhang J, Zhou Y, Yang L, Wang F, Wang J, Zhou Z, Shen J. Size-selected silver nanoparticles for MALDI-TOF mass spectrometry of amyloid-beta peptides. NANOSCALE 2018; 10:22044-22054. [PMID: 30452045 DOI: 10.1039/c8nr07921h] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/09/2023]
Abstract
Matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) is one of the most efficient mass spectrometric techniques for the analysis of high-molecular-weight compounds with superior selectivity and sensitivity. Common MALDI matrices are low molecular weight (LMW) organics and will therefore produce a large amount of matrix-related ion peaks, which limits the use of MALDI-MS for the detection of LMW molecules. A major breakthrough of this limitation was made by the introduction of surface assisted desorption/ionization techniques, with graphite particles firstly as the matrix, followed by expansion into other types of nanoparticles or nanostructures. However, previous studies failed to address well the optimum size and concentration of Ag NPs to be used as the MALDI matrix. In this study, to explore and compare the efficiency of different sized silver nanoparticles (Ag NPs) as the MALDI matrix for the detection of LMW molecules, three different sized Ag NPs (2.8 ± 1.0, 12.8 ± 3.2 and 44.2 ± 5.0 nm) have been successfully developed as the MALDI time-of-flight MS (MALDI-TOF MS) matrix and amyloid-beta (Aβ) peptides, crucially involved in Alzheimer's disease and a variety of cancers, were chosen as an example of LMW molecules in our MALDI-TOF MS analysis with Ag NPs as matrices. The results showed size-selected MS signals with the smallest (2.8 ± 1.0 nm) Ag NP matrix producing the highest spectral intensities, when compared with other larger sized Ag NP matrices and conventional matrices such as SA and DHB. Furthermore, the optimal concentrations for different sized Ag NPs as matrices were determined as follows: 0.125 nM (2.8 ± 1.0 nm Ag NPs), 0.0625 nM (12.8 ± 3.2 nm Ag NPs), and 0.03125 nM (44.2 ± 5.0 nm Ag NPs), respectively. These results not only corroborated that Ag NPs could act as a very suitable matrix to assist in the desorption/ionization of LMW molecules but also revealed size-selected mass spectrometry signals with smaller Ag NPs as the MALDI matrix bearing more advantages than their larger counterparts. These novel findings paved the way for wider applications of MALDI-MS using Ag NPs as matrices for the analysis of LMW molecules.
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Affiliation(s)
- Feng Ding
- Department of Microbiology & Immunology, School of Basic Medical Sciences, Wenzhou Medical University, Wenzhou, Zhejiang 325035, P. R. China.
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38
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Luehr TC, Koide EM, Wang X, Han J, Borchers CH, Helbing CC. Metabolomic insights into the effects of thyroid hormone on Rana [Lithobates] catesbeiana metamorphosis using whole-body Matrix Assisted Laser Desorption/Ionization-Mass Spectrometry Imaging (MALDI-MSI). Gen Comp Endocrinol 2018; 265:237-245. [PMID: 29470956 DOI: 10.1016/j.ygcen.2018.02.012] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/28/2017] [Revised: 02/14/2018] [Accepted: 02/14/2018] [Indexed: 02/07/2023]
Abstract
Anuran metamorphosis involves the transformation of an aquatic tadpole into a juvenile frog. This process is completely dependent upon thyroid hormones (THs). Although much research has been focused on changes in gene expression programs during this postembryonic developmental period, transitions in the metabolic profiles are relatively poorly understood. Matrix Assisted Laser Desorption/Ionization-Mass Spectrometry Imaging (MALDI-MSI) is a technique that generates highly multiplexed mass spectra while retaining spatial location information on a thin tissue section. Reconstructed ion heat maps are correlated with morphology of the tissue section for biological interpretation. The present study is the first to use whole-body MALDI-MSI on tadpoles to gain insights into anuran metamorphosis. Approximately 1000 features were detected in each of five tissues examined (brain, eye, liver, notochord, and tail muscle) from premetamorphic North American bullfrog (Rana [Lithobates] catesbeiana) tadpoles. Of these detected metabolites, 1700 were unique and 136 were significantly affected by exposure to 50 nM thyroxine for 48 h. Of the significantly-affected metabolites, 64 features were tentatively identified using the MassTRIX annotation tool. All tissues revealed changes in lipophilic compounds including phosphatidylcholines, phosphatidylinositols, phosphatidylglycerols, phosphatidylethanolamines, and phosphatidylserines. These lipophilic compounds made up the largest portion of significantly-affected metabolites indicating that lipid signaling is a major target of TH action in frog tadpoles.
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Affiliation(s)
- Teesha C Luehr
- Department of Biochemistry & Microbiology, University of Victoria, Victoria, BC V8P 5C2, Canada; University of Victoria - Genome British Columbia Proteomics Centre, Vancouver Island Technology Park, Victoria, BC V8Z 7X8, BC, Canada
| | - Emily M Koide
- Department of Biochemistry & Microbiology, University of Victoria, Victoria, BC V8P 5C2, Canada
| | - Xiaodong Wang
- University of Victoria - Genome British Columbia Proteomics Centre, Vancouver Island Technology Park, Victoria, BC V8Z 7X8, BC, Canada
| | - Jun Han
- University of Victoria - Genome British Columbia Proteomics Centre, Vancouver Island Technology Park, Victoria, BC V8Z 7X8, BC, Canada
| | - Christoph H Borchers
- Department of Biochemistry & Microbiology, University of Victoria, Victoria, BC V8P 5C2, Canada; University of Victoria - Genome British Columbia Proteomics Centre, Vancouver Island Technology Park, Victoria, BC V8Z 7X8, BC, Canada; Proteomics Centre, Segal Cancer Centre, Lady Davis Institute, Jewish General Hospital, McGill University, Montreal, Quebec H3T 1E2, Canada; Gerald Bronfman Department of Oncology, Jewish General Hospital, McGill University, Montreal, Quebec H3T 1E2, Canada
| | - Caren C Helbing
- Department of Biochemistry & Microbiology, University of Victoria, Victoria, BC V8P 5C2, Canada.
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Kuzmenkov AI, Vassilevski AA. Labelled animal toxins as selective molecular markers of ion channels: Applications in neurobiology and beyond. Neurosci Lett 2018; 679:15-23. [DOI: 10.1016/j.neulet.2017.10.050] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2017] [Revised: 10/23/2017] [Accepted: 10/25/2017] [Indexed: 12/12/2022]
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Wang JSH, Freitas-Andrade M, Bechberger JF, Naus CC, Yeung KKC, Whitehead SN. Matrix-assisted laser desorption/ionization imaging mass spectrometry of intraperitoneally injected danegaptide (ZP1609) for treatment of stroke-reperfusion injury in mice. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2018; 32:951-958. [PMID: 29575411 DOI: 10.1002/rcm.8115] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2018] [Revised: 03/07/2018] [Accepted: 03/09/2018] [Indexed: 06/08/2023]
Abstract
RATIONALE This work focuses on direct matrix-assisted laser desorption/ionization imaging mass spectrometry (MALDI-IMS) detection of intraperitoneally (IP)-injected dipeptide ZP1609 in mouse brain tissue. Direct analysis of drug detection in intact tissue sections provides distribution information that can impact drug development. MALDI-IMS capabilities of uncovering drug transport across the blood-brain barrier are demonstrated. METHODS Successful peptide detection using MALDI-IMS was achieved using a MALDI TOF/TOF system. Upon optimization of sample preparation procedures for dipeptide ZP1609, an additional tissue acidification procedure was found to greatly enhance signal detection. The imaging data acquired was able to determine successful transport of ZP1609 across the blood-brain barrier. Data obtained from MALDI-IMS can help shape our understanding of biological functions, disease progression, and effects of drug delivery. RESULTS Direct detection of ZP1609 throughout the brain tissue sections was observed from MALDI-MS images. However, in cases where there was induction of stroke, a peak of lower signal intensity was also detected in the target m/z region. Although distinct differences in signal intensity can be seen between control and experimental groups, fragments and adducts of ZP1609 were investigated using MALDI-IMS to verify detection of the target analyte. CONCLUSIONS Overall, the data reveals successful penetration of ZP1609 across the blood-brain barrier. The benefits of tissue acidification in the enhancement of detection sensitivity for low-abundance peptides were demonstrated. MALDI-IMS has been shown to be a useful technique in the direct detection of drugs within intact brain tissue sections.
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Affiliation(s)
- Jasmine S H Wang
- Department of Chemistry and Department of Biochemistry, University of Western Ontario, London, ON, Canada, N6A 5B7 and N6A 5C1
- Vulnerable Brain Laboratory, Department of Anatomy and Cell Biology, University of Western Ontario, London, ON, Canada, N6A 5C1
| | - Moises Freitas-Andrade
- Department of Cellular and Physiological Sciences, University of British Columbia, Vancouver, BC, Canada, V6T 1Z3
| | - John F Bechberger
- Department of Cellular and Physiological Sciences, University of British Columbia, Vancouver, BC, Canada, V6T 1Z3
| | - Christian C Naus
- Department of Cellular and Physiological Sciences, University of British Columbia, Vancouver, BC, Canada, V6T 1Z3
| | - Ken K-C Yeung
- Department of Chemistry and Department of Biochemistry, University of Western Ontario, London, ON, Canada, N6A 5B7 and N6A 5C1
| | - Shawn N Whitehead
- Vulnerable Brain Laboratory, Department of Anatomy and Cell Biology, University of Western Ontario, London, ON, Canada, N6A 5C1
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Maudsley S, Devanarayan V, Martin B, Geerts H. Intelligent and effective informatic deconvolution of “Big Data” and its future impact on the quantitative nature of neurodegenerative disease therapy. Alzheimers Dement 2018; 14:961-975. [DOI: 10.1016/j.jalz.2018.01.014] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2017] [Revised: 10/03/2017] [Accepted: 01/18/2018] [Indexed: 12/31/2022]
Affiliation(s)
- Stuart Maudsley
- Department of Biomedical ResearchUniversity of AntwerpAntwerpBelgium
- VIB Center for Molecular NeurologyAntwerpBelgium
| | | | - Bronwen Martin
- Department of Biomedical ResearchUniversity of AntwerpAntwerpBelgium
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Acland M, Mittal P, Lokman NA, Klingler-Hoffmann M, Oehler MK, Hoffmann P. Mass Spectrometry Analyses of Multicellular Tumor Spheroids. Proteomics Clin Appl 2018; 12:e1700124. [PMID: 29227035 DOI: 10.1002/prca.201700124] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2017] [Revised: 11/13/2017] [Indexed: 12/21/2022]
Abstract
Multicellular tumor spheroids (MCTS) are a powerful biological in vitro model, which closely mimics the 3D structure of primary avascularized tumors. Mass spectrometry (MS) has established itself as a powerful analytical tool, not only to better understand and describe the complex structure of MCTS, but also to monitor their response to cancer therapeutics. The first part of this review focuses on traditional mass spectrometry approaches with an emphasis on elucidating the molecular characteristics of these structures. Then the mass spectrometry imaging (MSI) approaches used to obtain spatially defined information from MCTS is described. Finally the analysis of primary spheroids, such as those present in ovarian cancer, and the great potential that mass spectrometry analysis of these structures has for improved understanding of cancer progression and for personalized in vitro therapeutic testing is discussed.
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Affiliation(s)
- Mitchell Acland
- Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, South Australia, Australia.,Institute of Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, South Australia, Australia
| | - Parul Mittal
- Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, South Australia, Australia.,Institute of Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, South Australia, Australia
| | - Noor A Lokman
- Discipline of Obstetrics and Gynaecology, School of Medicine, Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia
| | - Manuela Klingler-Hoffmann
- Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, South Australia, Australia.,Future Industries Institute, University of South Australia, Adelaide, South Australia, Australia
| | - Martin K Oehler
- Discipline of Obstetrics and Gynaecology, School of Medicine, Robinson Research Institute, University of Adelaide, Adelaide, South Australia, Australia.,Department of Gynaecological Oncology, Royal Adelaide Hospital, Adelaide, South Australia, Australia
| | - Peter Hoffmann
- Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, South Australia, Australia.,Future Industries Institute, University of South Australia, Adelaide, South Australia, Australia
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O'Rourke MB, Padula MP, Smith C, Youssef P, Cordwell S, Witting P, Sutherland G, Crossett B. Optimal Preparation of Formalin Fixed Samples for Peptide Based Matrix Assisted Laser Desorption/Ionization Mass Spectrometry Imaging Workflows. J Vis Exp 2018. [PMID: 29364257 DOI: 10.3791/56778] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
The use of matrix-assisted laser desorption/ionization, mass spectrometry imaging (MALDI MSI) has rapidly expanded, since this technique analyzes a host of biomolecules from drugs and lipids to N-glycans. Although various sample preparation techniques exist, detecting peptides from formaldehyde preserved tissues remains one of the most difficult challenges for this type of mass spectrometric analysis. For this reason, we have created and optimized a robust methodology that preserves the spatial information contained within the sample, while eliciting the greatest number of ionizable peptides. We have also aimed to achieve this in a cost effective and simple way, thereby eliminating potential bias or preparation error, which can occur when using automated instrumentation. The end result is a reproducible and inexpensive protocol.
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Affiliation(s)
- Matthew B O'Rourke
- Mass Spectrometry Core Facility, University of Sydney; Proteomics Core Facility, University of Technology Sydney;
| | | | - Caine Smith
- Neuropathology Group, Discipline of Pathology, School of Medical Sciences, University of Sydney
| | - Priscilla Youssef
- Redox Biology Group, Discipline of Pathology, School of Medical Sciences, University of Sydney
| | | | - Paul Witting
- Redox Biology Group, Discipline of Pathology, School of Medical Sciences, University of Sydney
| | - Greg Sutherland
- Neuropathology Group, Discipline of Pathology, School of Medical Sciences, University of Sydney
| | - Ben Crossett
- Mass Spectrometry Core Facility, University of Sydney
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Yoshida S, Koga K, Iwataka M, Fuchigami T, Haratake M, Nakayama M. Characterization of Selenium Species in the Shijimi Clam. Chem Pharm Bull (Tokyo) 2017; 65:1045-1050. [PMID: 29093291 DOI: 10.1248/cpb.c17-00492] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Abstract
Selenium is an essential trace element for humans and animals. Fish and shellfish are known to be rich in selenium and suppose to be an effective selenium source. In this study, we characterized the selenium species in the Shijimi clam (Corbicula japonica), which is a typical clam eaten in Japan. The Shijimi clam contains a relatively high concentration of selenium (3.5 µg-selenium/g-dry Shijimi). Approximately 30% of the total selenium in the Shijimi clam meat was extractable with water, while selenium in the Shijimi clam was hardly extracted with ethanol, chloroform and hexane. Based on an ultrafiltration study, the molecular mass of the major selenium species in the Shijimi water-extract was estimated to be less than 5000. Because amphoteric selenium species were contained in the Shijimi water-extract, which was indicated by ion-exchange chromatographic separation, an ion-pair reagent was utilized to extract the ionic selenium species into an organic solvent. A matrix assisted laser desorption ionization (MALDI) time of flight (TOF)-mass spectrometric analysis revealed the selenium isotopic pattern involving one selenium atom in a molecule with the 80Se molecular ion peak at m/z 534. This selenium species was mainly found in the visceral part of the Shijimi clam by imaging mass spectrometry.
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Affiliation(s)
- Sakura Yoshida
- Graduate School of Biomedical Sciences, Nagasaki University
| | - Kaori Koga
- Graduate School of Biomedical Sciences, Nagasaki University
| | - Miho Iwataka
- Graduate School of Biomedical Sciences, Nagasaki University
| | | | | | - Morio Nakayama
- Graduate School of Biomedical Sciences, Nagasaki University
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Scifo E, Calza G, Fuhrmann M, Soliymani R, Baumann M, Lalowski M. Recent advances in applying mass spectrometry and systems biology to determine brain dynamics. Expert Rev Proteomics 2017; 14:545-559. [PMID: 28539064 DOI: 10.1080/14789450.2017.1335200] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
Abstract
INTRODUCTION Neurological disorders encompass various pathologies which disrupt normal brain physiology and function. Poor understanding of their underlying molecular mechanisms and their societal burden argues for the necessity of novel prevention strategies, early diagnostic techniques and alternative treatment options to reduce the scale of their expected increase. Areas covered: This review scrutinizes mass spectrometry based approaches used to investigate brain dynamics in various conditions, including neurodegenerative and neuropsychiatric disorders. Different proteomics workflows for isolation/enrichment of specific cell populations or brain regions, sample processing; mass spectrometry technologies, for differential proteome quantitation, analysis of post-translational modifications and imaging approaches in the brain are critically deliberated. Future directions, including analysis of cellular sub-compartments, targeted MS platforms (selected/parallel reaction monitoring) and use of mass cytometry are also discussed. Expert commentary: Here, we summarize and evaluate current mass spectrometry based approaches for determining brain dynamics in health and diseases states, with a focus on neurological disorders. Furthermore, we provide insight on current trends and new MS technologies with potential to improve this analysis.
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Affiliation(s)
- Enzo Scifo
- a Department of Psychiatry, and of Pharmacology and Toxicology , University of Toronto, Campbell Family Mental Health Research Institute of CAMH , Toronto , Canada
| | - Giulio Calza
- b Medicum, Meilahti Clinical Proteomics Core Facility, Biochemistry/Developmental Biology, Faculty of Medicine , FI-00014 University of Helsinki , Helsinki , Finland
| | - Martin Fuhrmann
- c Neuroimmunology and Imaging Group , German Center for Neurodegenerative Diseases (DZNE) , Bonn , Germany
| | - Rabah Soliymani
- b Medicum, Meilahti Clinical Proteomics Core Facility, Biochemistry/Developmental Biology, Faculty of Medicine , FI-00014 University of Helsinki , Helsinki , Finland
| | - Marc Baumann
- b Medicum, Meilahti Clinical Proteomics Core Facility, Biochemistry/Developmental Biology, Faculty of Medicine , FI-00014 University of Helsinki , Helsinki , Finland
| | - Maciej Lalowski
- b Medicum, Meilahti Clinical Proteomics Core Facility, Biochemistry/Developmental Biology, Faculty of Medicine , FI-00014 University of Helsinki , Helsinki , Finland
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Cai L, Sheng L, Xia M, Li Z, Zhang S, Zhang X, Chen H. Graphene Oxide as a Novel Evenly Continuous Phase Matrix for TOF-SIMS. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2017; 28:399-408. [PMID: 27981442 DOI: 10.1007/s13361-016-1557-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/15/2016] [Revised: 11/02/2016] [Accepted: 11/03/2016] [Indexed: 06/06/2023]
Abstract
Using matrix to enhance the molecular ion signals for biomolecule identification without loss of spatial resolution caused by matrix crystallization is a great challenge for the application of TOF-SIMS in real-world biological research. In this report, graphene oxide (GO) was used as a matrix for TOF-SIMS to improve the secondary ion yields of intact molecular ions ([M + H]+). Identifying and distinguishing the molecular ions of lipids (m/z >700) therefore became straightforward. The spatial resolution of TOF-SIMS imaging could also be improved as GO can form a homogeneous layer of matrix instead of crystalline domain, which prevents high spatial resolution in TOF-SIMS imaging. Lipid mapping in presence of GO revealed the delicate morphology and distribution of single vesicles with a diameter of 800 nm. On GO matrix, the vesicles with similar shape but different chemical composition could be distinguished using molecular ions. This novel matrix holds potentials in such applications as the analysis and imaging of complex biological samples by TOF-SIMS. Graphical Abstract ᅟ.
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Affiliation(s)
- Lesi Cai
- Department of Chemistry, Beijing Key Laboratory of Microanalytical Methods and Instrumentation, Tsinghua University, Beijing, 100084, People's Republic of China
| | - Linfeng Sheng
- School of Chemistry and Chemical Engineering, State Key Laboratory of Analytical Chemistry for Life Science and Collaborative Innovation Center of Chemistry for Life Science, Nanjing University, Nanjing, 210023, People's Republic of China
| | - Mengchan Xia
- Department of Chemistry, Beijing Key Laboratory of Microanalytical Methods and Instrumentation, Tsinghua University, Beijing, 100084, People's Republic of China
| | - Zhanping Li
- Department of Chemistry, Beijing Key Laboratory of Microanalytical Methods and Instrumentation, Tsinghua University, Beijing, 100084, People's Republic of China.
| | - Sichun Zhang
- Department of Chemistry, Beijing Key Laboratory of Microanalytical Methods and Instrumentation, Tsinghua University, Beijing, 100084, People's Republic of China
| | - Xinrong Zhang
- Department of Chemistry, Beijing Key Laboratory of Microanalytical Methods and Instrumentation, Tsinghua University, Beijing, 100084, People's Republic of China.
| | - Hongyuan Chen
- School of Chemistry and Chemical Engineering, State Key Laboratory of Analytical Chemistry for Life Science and Collaborative Innovation Center of Chemistry for Life Science, Nanjing University, Nanjing, 210023, People's Republic of China
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Ucal Y, Durer ZA, Atak H, Kadioglu E, Sahin B, Coskun A, Baykal AT, Ozpinar A. Clinical applications of MALDI imaging technologies in cancer and neurodegenerative diseases. BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS 2017; 1865:795-816. [PMID: 28087424 DOI: 10.1016/j.bbapap.2017.01.005] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2016] [Revised: 12/08/2016] [Accepted: 01/06/2017] [Indexed: 12/25/2022]
Abstract
Matrix-assisted laser desorption/ionization (MALDI) time-of-flight (TOF) imaging mass spectrometry (IMS) enables localization of analytes of interest along with histology. More specifically, MALDI-IMS identifies the distributions of proteins, peptides, small molecules, lipids, and drugs and their metabolites in tissues, with high spatial resolution. This unique capacity to directly analyze tissue samples without the need for lengthy sample preparation reduces technical variability and renders MALDI-IMS ideal for the identification of potential diagnostic and prognostic biomarkers and disease gradation. MALDI-IMS has evolved rapidly over the last decade and has been successfully used in both medical and basic research by scientists worldwide. In this review, we explore the clinical applications of MALDI-IMS, focusing on the major cancer types and neurodegenerative diseases. In particular, we re-emphasize the diagnostic potential of IMS and the challenges that must be confronted when conducting MALDI-IMS in clinical settings. This article is part of a Special Issue entitled: MALDI Imaging, edited by Dr. Corinna Henkel and Prof. Peter Hoffmann.
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Affiliation(s)
- Yasemin Ucal
- Acibadem University, Department of Medical Biochemistry, School of Medicine, Istanbul, Turkey
| | - Zeynep Aslıhan Durer
- Acibadem University, Department of Medical Biochemistry, School of Medicine, Istanbul, Turkey
| | - Hakan Atak
- Acibadem University, Department of Medical Biochemistry, School of Medicine, Istanbul, Turkey
| | - Elif Kadioglu
- Acibadem University, Department of Medical Biochemistry, School of Medicine, Istanbul, Turkey
| | - Betul Sahin
- Acibadem University, Department of Medical Biochemistry, School of Medicine, Istanbul, Turkey
| | - Abdurrahman Coskun
- Acibadem University, Department of Medical Biochemistry, School of Medicine, Istanbul, Turkey
| | - Ahmet Tarık Baykal
- Acibadem University, Department of Medical Biochemistry, School of Medicine, Istanbul, Turkey
| | - Aysel Ozpinar
- Acibadem University, Department of Medical Biochemistry, School of Medicine, Istanbul, Turkey.
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48
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Arentz G, Mittal P, Zhang C, Ho YY, Briggs M, Winderbaum L, Hoffmann MK, Hoffmann P. Applications of Mass Spectrometry Imaging to Cancer. Adv Cancer Res 2017; 134:27-66. [PMID: 28110654 DOI: 10.1016/bs.acr.2016.11.002] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Pathologists play an essential role in the diagnosis and prognosis of benign and cancerous tumors. Clinicians provide tissue samples, for example, from a biopsy, which are then processed and thin sections are placed onto glass slides, followed by staining of the tissue with visible dyes. Upon processing and microscopic examination, a pathology report is provided, which relies on the pathologist's interpretation of the phenotypical presentation of the tissue. Targeted analysis of single proteins provide further insight and together with clinical data these results influence clinical decision making. Recent developments in mass spectrometry facilitate the collection of molecular information about such tissue specimens. These relatively new techniques generate label-free mass spectra across tissue sections providing nonbiased, nontargeted molecular information. At each pixel with spatial coordinates (x/y) a mass spectrum is acquired. The acquired mass spectrums can be visualized as intensity maps displaying the distribution of single m/z values of interest. Based on the sample preparation, proteins, peptides, lipids, small molecules, or glycans can be analyzed. The generated intensity maps/images allow new insights into tumor tissues. The technique has the ability to detect and characterize tumor cells and their environment in a spatial context and combined with histological staining, can be used to aid pathologists and clinicians in the diagnosis and management of cancer. Moreover, such data may help classify patients to aid therapy decisions and predict outcomes. The novel complementary mass spectrometry-based methods described in this chapter will contribute to the transformation of pathology services around the world.
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Affiliation(s)
- G Arentz
- Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia; Institute for Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, SA, Australia
| | - P Mittal
- Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia; Institute for Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, SA, Australia
| | - C Zhang
- Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia; Institute for Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, SA, Australia
| | - Y-Y Ho
- Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia
| | - M Briggs
- Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia; Institute for Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, SA, Australia; ARC Centre for Nanoscale BioPhotonics (CNBP), University of Adelaide, Adelaide, SA, Australia
| | - L Winderbaum
- Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia
| | - M K Hoffmann
- Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia; Institute for Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, SA, Australia
| | - P Hoffmann
- Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia; Institute for Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, SA, Australia.
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Rzagalinski I, Volmer DA. Quantification of low molecular weight compounds by MALDI imaging mass spectrometry - A tutorial review. BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS 2016; 1865:726-739. [PMID: 28012871 DOI: 10.1016/j.bbapap.2016.12.011] [Citation(s) in RCA: 65] [Impact Index Per Article: 8.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/31/2016] [Revised: 12/01/2016] [Accepted: 12/19/2016] [Indexed: 10/20/2022]
Abstract
Matrix-assisted laser desorption/ionization (MALDI)-mass spectrometry imaging (MSI) permits label-free in situ analysis of chemical compounds directly from the surface of two-dimensional biological tissue slices. It links qualitative molecular information of compounds to their spatial coordinates and distribution within the investigated tissue. MALDI-MSI can also provide the quantitative amounts of target compounds in the tissue, if proper calibration techniques are performed. Obviously, as the target molecules are embedded within the biological tissue environment and analysis must be performed at their precise locations, there is no possibility for extensive sample clean-up routines or chromatographic separations as usually performed with homogenized biological materials; ion suppression phenomena therefore become a critical side effect of MALDI-MSI. Absolute quantification by MALDI-MSI should provide an accurate value of the concentration/amount of the compound of interest in relatively small, well-defined region of interest of the examined tissue, ideally in a single pixel. This goal is extremely challenging and will not only depend on the technical possibilities and limitations of the MSI instrument hardware, but equally on the chosen calibration/standardization strategy. These strategies are the main focus of this article and are discussed and contrasted in detail in this tutorial review. This article is part of a Special Issue entitled: MALDI Imaging, edited by Dr. Corinna Henkel and Prof. Peter Hoffmann.
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Affiliation(s)
- Ignacy Rzagalinski
- Institute of Bioanalytical Chemistry, Saarland University, 66123 Saarbrücken, Germany
| | - Dietrich A Volmer
- Institute of Bioanalytical Chemistry, Saarland University, 66123 Saarbrücken, Germany.
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50
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Karlsson O, Hanrieder J. Imaging mass spectrometry in drug development and toxicology. Arch Toxicol 2016; 91:2283-2294. [PMID: 27933369 PMCID: PMC5429351 DOI: 10.1007/s00204-016-1905-6] [Citation(s) in RCA: 72] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2016] [Accepted: 11/24/2016] [Indexed: 11/25/2022]
Abstract
During the last decades, imaging mass spectrometry has gained significant relevance in biomedical research. Recent advances in imaging mass spectrometry have paved the way for in situ studies on drug development, metabolism and toxicology. In contrast to whole-body autoradiography that images the localization of radiolabeled compounds, imaging mass spectrometry provides the possibility to simultaneously determine the discrete tissue distribution of the parent compound and its metabolites. In addition, imaging mass spectrometry features high molecular specificity and allows comprehensive, multiplexed detection and localization of hundreds of proteins, peptides and lipids directly in tissues. Toxicologists traditionally screen for adverse findings by histopathological examination. However, studies of the molecular and cellular processes underpinning toxicological and pathologic findings induced by candidate drugs or toxins are important to reach a mechanistic understanding and an effective risk assessment strategy. One of IMS strengths is the ability to directly overlay the molecular information from the mass spectrometric analysis with the tissue section and allow correlative comparisons of molecular and histologic information. Imaging mass spectrometry could therefore be a powerful tool for omics profiling of pharmacological/toxicological effects of drug candidates and toxicants in discrete tissue regions. The aim of the present review is to provide an overview of imaging mass spectrometry, with particular focus on MALDI imaging mass spectrometry, and its use in drug development and toxicology in general.
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Affiliation(s)
- Oskar Karlsson
- Center for Molecular Medicine, Department of Clinical Neuroscience, Karolinska Institute, 171 76, Stockholm, Sweden.
- Department of Pharmaceutical Biosciences, Drug Safety and Toxicology, Uppsala University, 751 24, Uppsala, Sweden.
| | - Jörg Hanrieder
- Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal Hospital, House V, 431 80, Mölndal, Sweden
- Department of Molecular Neuroscience, UCL Institute of Neurology, University College London, Queen Square, London, WC1N, UK
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