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Siciliano AM, Moro F, De Simone G, Pischiutta F, Morabito A, Pastorelli R, Brunelli L, Zanier ER, Davoli E. Mapping small metabolite changes after traumatic brain injury using AP-MALDI MSI. Anal Bioanal Chem 2024; 416:4941-4949. [PMID: 39090264 DOI: 10.1007/s00216-024-05422-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Revised: 06/26/2024] [Accepted: 06/27/2024] [Indexed: 08/04/2024]
Abstract
Traumatic brain injury (TBI) is an alteration of brain function caused by a sudden transmission of an external force to the head. The biomechanical impact induces acute and chronic metabolic changes that highly contribute to injury evolution and outcome. TBI heterogeneity calls for approaches allowing the mapping of regional molecular and metabolic changes underpinning disease progression, with mass spectrometry imaging (MSI) as an efficient tool to study the spatial distribution of small metabolites. In this study, we applied an innovative targeted atmospheric pressure-MALDI mass spectrometry imaging (AP-MALDI MSI) approach, starting from an extensive list of metabolites, representative of different metabolic pathways, individually validated on the tissue under analysis with original standards using 2,5-dihydroxybenzoic acid (DHB), to characterize the impact of TBI on regional changes to small metabolites in the brain. Brains from sham and TBI mice obtained 21 days post-injury were analyzed to examine the spatial metabolic profile of small metabolites belonging to different metabolic pathways. By a whole brain analysis, we identified four metabolites (alanine, lysine, histidine, and inosine) with higher abundance in TBI than sham mice. Within the TBI group, lysine, histidine, and inosine were higher in the hemisphere ipsilateral to the biomechanical impact vs. the contralateral one. Images showed a major involvement of the ipsilateral thalamus characterized by the increase of arginine, lysine, histidine, and inosine and a significant reduction of glutamic acid, and N-acetylaspartic acid compared to the contralateral thalamus. These findings indicate high-resolution imaging mass spectrometry as a powerful tool to identify region-specific changes after a TBI to understand the metabolic changes underlying brain injury evolution.
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Affiliation(s)
- Angela Marika Siciliano
- Mass Spectrometry Research Centre for Health and Environment and Laboratory of Mass Spectrometry, Environmental Health Sciences Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, 20156, Milan, Italy
| | - Federico Moro
- Laboratory of Traumatic Brain Injury and Neuroprotection, Department of Acute Brain and Cardiovascular Injury, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Giulia De Simone
- Laboratory of Protein and Metabolites in Translational Research, Environmental Health Sciences Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, 20156, Milan, Italy
| | - Francesca Pischiutta
- Laboratory of Traumatic Brain Injury and Neuroprotection, Department of Acute Brain and Cardiovascular Injury, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Aurelia Morabito
- Laboratory of Protein and Metabolites in Translational Research, Environmental Health Sciences Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, 20156, Milan, Italy
- Department of Electronics, Information and Bioengineering, Politecnico di Milano, 20133, Milan, Italy
| | - Roberta Pastorelli
- Laboratory of Protein and Metabolites in Translational Research, Environmental Health Sciences Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, 20156, Milan, Italy
| | - Laura Brunelli
- Laboratory of Protein and Metabolites in Translational Research, Environmental Health Sciences Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, 20156, Milan, Italy
| | - Elisa R Zanier
- Laboratory of Traumatic Brain Injury and Neuroprotection, Department of Acute Brain and Cardiovascular Injury, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Milan, Italy
| | - Enrico Davoli
- Mass Spectrometry Research Centre for Health and Environment and Laboratory of Mass Spectrometry, Environmental Health Sciences Department, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, 20156, Milan, Italy.
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2
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Kuzin AA, Sobolev DI, Eliferov VA, Stupnikova GS, Popov IA, Nikolaev EN, Pekov SI. Matrix-assisted laser desorption/ionization matrix incorporation evaluation algorithm for improved peak coverage and signal-to-noise ratio in mass spectrometry imaging. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2024; 38:e9830. [PMID: 38813850 DOI: 10.1002/rcm.9830] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 05/08/2024] [Accepted: 05/08/2024] [Indexed: 05/31/2024]
Abstract
RATIONALE Despite decades of implementation, the selection of optimal sample preparation conditions for matrix-assisted laser desorption/ionization (MALDI) imaging is still ambiguous due to the lack of a universal and comprehensive evaluation methodology. Thus, numerous experiments with different matrix application conditions accompany a translation of the method to novel sample types and matrices. METHODS Mouse brain tissues were covered with 9-aminoacridine through sublimation, followed by recrystallization in vapors of 5% (v/v) methanol solution in water. The samples were analyzed by MALDI time-of-flight mass spectrometry, and the efficiency of lipid and small-molecule ionization was evaluated with different metrics. RESULTS We first investigate the dependency of matrix density and recrystallization conditions on the thickness of an analyte-empty matrix layer to roughly evaluate the laser shot number required to obtain an intense signal with minimal noise. Then, we introduce metrics for the analysis of small imaging datasets (small sample regions) of model samples based on median quantity of peaks in spectra (medQP) and weighted median signal-to-noise ratio (wmSNR). The evaluation of small regions and taking median values for metrics help overcome the sample heterogeneity and allow for the simultaneous comparison of different acquisition parameters. CONCLUSIONS Here, we propose a methodology based on gradual laser ablation of small regions of sample and further implementation of weighted signal-to-noise ratio to assess various matrix application conditions. The proposed approach helps reduce the number of test samples required to determine optimal sample preparation conditions and improve the overall quality of images.
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Affiliation(s)
- Andrey A Kuzin
- Laboratory for Molecular Medical Diagnostics, Moscow Institute of Physics and Technology, Dolgoprudny, Russian Federation
| | - Daniil I Sobolev
- Laboratory for Mass Spectrometry, Skolkovo Institute of Science and Technology, Moscow, Russian Federation
| | - Vasiliy A Eliferov
- Laboratory for Molecular Medical Diagnostics, Moscow Institute of Physics and Technology, Dolgoprudny, Russian Federation
| | - Galina S Stupnikova
- Laboratory for Molecular Medical Diagnostics, Moscow Institute of Physics and Technology, Dolgoprudny, Russian Federation
| | - Igor A Popov
- Laboratory for Molecular Medical Diagnostics, Moscow Institute of Physics and Technology, Dolgoprudny, Russian Federation
- Laboratory for Translational Medicine, Siberian State Medical University, Tomsk, Russian Federation
| | - Eugene N Nikolaev
- Laboratory for Mass Spectrometry, Skolkovo Institute of Science and Technology, Moscow, Russian Federation
| | - Stanislav I Pekov
- Laboratory for Mass Spectrometry, Skolkovo Institute of Science and Technology, Moscow, Russian Federation
- Laboratory for Translational Medicine, Siberian State Medical University, Tomsk, Russian Federation
- Department of Molecular and Biological Physics, Moscow Institute of Physics and Technology, Dolgoprudny, Russian Federation
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Vallianatou T, Angerer TB, Kaya I, Nilsson A, Shariatgorji R, Svenningsson P, Andrén PE. Applying Spatial Metabolomics To Investigate Age- and Drug-Induced Neurochemical Changes. ACS Chem Neurosci 2024; 15:2822-2829. [PMID: 39072364 PMCID: PMC11311129 DOI: 10.1021/acschemneuro.4c00199] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2024] [Revised: 06/14/2024] [Accepted: 07/02/2024] [Indexed: 07/30/2024] Open
Abstract
In an era when population aging is increasing the burden of neurodegenerative conditions, deciphering the mechanisms underlying brain senescence is more important than ever. Here, we present a spatial metabolomics analysis of age-induced neurochemical alterations in the mouse brain using negative ionization mode mass spectrometry imaging. The age-dependent effects of the acetylcholinesterase inhibitor tacrine were simultaneously examined. For ultrahigh mass resolution analysis, we utilized a Fourier-transform ion cyclotron resonance spectrometer. To complement this, a trapped ion mobility spectrometry time-of-flight analyzer provided high speed and lateral resolution. The chosen approach facilitated the detection and identification of a wide range of metabolites, from amino acids to sphingolipids. We reported significant, age-dependent alterations in brain lipids which were most evident for sulfatides and lysophosphatidic acids. Sulfatide species, which are mainly localized to white matter, either increased or decreased with age, depending on the carbon chain length and hydroxylation stage. Lysophosphatidic acids were found to decrease with age in the detailed cortical and hippocampal subregions. An age-dependent increase in the glutamine/glutamate ratio, an indicator of glia-neuron interconnection and neurotoxicity, was detected after tacrine administration. The presented metabolic mapping approach was able to provide visualizations of the lipid signaling and neurotransmission alterations induced by early aging and can thus be beneficial to further elucidating age-related neurochemical pathways.
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Affiliation(s)
- Theodosia Vallianatou
- Department
of Pharmaceutical Biosciences, Spatial Mass Spectrometry, Science
for Life Laboratory, Uppsala University, Uppsala SE-75124, Sweden
| | - Tina B. Angerer
- Department
of Pharmaceutical Biosciences, Spatial Mass Spectrometry, Science
for Life Laboratory, Uppsala University, Uppsala SE-75124, Sweden
| | - Ibrahim Kaya
- Department
of Pharmaceutical Biosciences, Spatial Mass Spectrometry, Science
for Life Laboratory, Uppsala University, Uppsala SE-75124, Sweden
| | - Anna Nilsson
- Department
of Pharmaceutical Biosciences, Spatial Mass Spectrometry, Science
for Life Laboratory, Uppsala University, Uppsala SE-75124, Sweden
| | - Reza Shariatgorji
- Department
of Pharmaceutical Biosciences, Spatial Mass Spectrometry, Science
for Life Laboratory, Uppsala University, Uppsala SE-75124, Sweden
| | - Per Svenningsson
- Department
of Clinical Neuroscience, Karolinska Institute, Stockholm SE-17177, Sweden
| | - Per E. Andrén
- Department
of Pharmaceutical Biosciences, Spatial Mass Spectrometry, Science
for Life Laboratory, Uppsala University, Uppsala SE-75124, Sweden
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4
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Cen X, Fang Y, Chen Z, Zhu X. Development of benzimidazole derivatives as efficient matrices for the analysis of acidic small-molecule compounds using matrix-assisted laser desorption/ionisation time-of-flight mass spectrometry in negative ion mode. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2024; 38:e9751. [PMID: 38680091 DOI: 10.1002/rcm.9751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/01/2024] [Revised: 03/17/2024] [Accepted: 03/18/2024] [Indexed: 05/01/2024]
Abstract
RATIONALE With the development of matrix-assisted laser desorption/ionisation (MALDI) mass spectrometry (MS) in spatial localisation omics research on small molecules, the detection sensitivity of the matrix must increase. However, the types of matrices suitable for detecting acidic small molecules in (-) MALDI-MS mode are very limited and are either not sensitive enough or difficult to obtain. METHODS More than 10 commercially available benzimidazole and benzothiazole derivatives were selected as MALDI matrices in negative ion mode. MALDI-MS analysis was performed on 38 acidic small molecules and mouse serum, and the matrix effects were compared with those of the common commercial matrices 9-aminoacridine (9AA), 1,5-naphthalenediamine (DAN) and 3-aminoquinoline (3AQ). Moreover, the proton affinity (PA) of the selected potential matrix was calculated, and the relationships among the compound structure, PA value and matrix effect were discussed. RESULTS In (-) MALDI-MS mode, a higher PA value generally indicates a better matrix effect. Amino-substituted 2-phenyl-1H-benzo[d]imidazole derivatives had well-defined matrix effects on all analytes and were generally superior to the commonly used matrices 9AA, DAN and 3AQ. Among them, 2-(4-(dimethylamino-phenyl)-1H-benzo[d]imidazole-5-amine (E-4) has the best sensitivity and versatility for detecting different analytes and has the best ability to detect fatty acids in mouse serum; moreover, the limit of detection (LOD) of some analytes can reach as low as ng/L. CONCLUSIONS Compared to 9AA, DAN and 3AQ, matrix E-4 is more effective at detecting low-molecular-weight acidic compounds in (-) MALDI-MS mode, with higher sensitivity and better versatility. In addition, there is a clear correlation between compound structure, PA and matrix effects, which provides a basis for designing more efficient matrices.
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Affiliation(s)
- Xianyi Cen
- School of Chemistry, Sun Yat-sen University, Guangzhou, China
| | - Yuhao Fang
- School of Chemistry, Sun Yat-sen University, Guangzhou, China
| | - Zilong Chen
- Instrumental Analysis & Research Center, Sun Yat-sen University, Guangzhou, China
| | - Xinhai Zhu
- Instrumental Analysis & Research Center, Sun Yat-sen University, Guangzhou, China
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Colley ME, Esselman AB, Scott CF, Spraggins JM. High-Specificity Imaging Mass Spectrometry. ANNUAL REVIEW OF ANALYTICAL CHEMISTRY (PALO ALTO, CALIF.) 2024; 17:1-24. [PMID: 38594938 DOI: 10.1146/annurev-anchem-083023-024546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 04/11/2024]
Abstract
Imaging mass spectrometry (IMS) enables highly multiplexed, untargeted tissue mapping for a broad range of molecular classes, facilitating in situ biological discovery. Yet, challenges persist in molecular specificity, which is the ability to discern one molecule from another, and spatial specificity, which is the ability to link untargeted imaging data to specific tissue features. Instrumental developments have dramatically improved IMS spatial resolution, allowing molecular observations to be more readily associated with distinct tissue features across spatial scales, ranging from larger anatomical regions to single cells. High-performance mass analyzers and systems integrating ion mobility technologies are also becoming more prevalent, further improving molecular coverage and the ability to discern chemical identity. This review provides an overview of recent advancements in high-specificity IMS that are providing critical biological context to untargeted molecular imaging, enabling integrated analyses, and addressing advanced biomedical research applications.
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Affiliation(s)
- Madeline E Colley
- 1Department of Biochemistry, Vanderbilt University, Nashville, Tennessee, USA;
- 2Mass Spectrometry Research Center, Vanderbilt University, Nashville, Tennessee, USA
| | - Allison B Esselman
- 2Mass Spectrometry Research Center, Vanderbilt University, Nashville, Tennessee, USA
- 3Department of Chemistry, Vanderbilt University, Nashville, Tennessee, USA
| | - Claire F Scott
- 2Mass Spectrometry Research Center, Vanderbilt University, Nashville, Tennessee, USA
- 4Department of Cell and Developmental Biology, Vanderbilt University, Nashville, Tennessee, USA
| | - Jeffrey M Spraggins
- 1Department of Biochemistry, Vanderbilt University, Nashville, Tennessee, USA;
- 2Mass Spectrometry Research Center, Vanderbilt University, Nashville, Tennessee, USA
- 3Department of Chemistry, Vanderbilt University, Nashville, Tennessee, USA
- 4Department of Cell and Developmental Biology, Vanderbilt University, Nashville, Tennessee, USA
- 5Department of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, Tennessee, USA
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Yang Q, Liu C, Qi K, Xiong Y, Pan Y, Tian C. Imaging and quantification of neuropeptides in mouse pituitary tissue by atmospheric pressure matrix-assisted laser desorption/ionization mass spectrometry. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2024; 38:e9755. [PMID: 38600731 DOI: 10.1002/rcm.9755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/04/2024] [Revised: 03/21/2024] [Accepted: 03/21/2024] [Indexed: 04/12/2024]
Abstract
RATIONALE Atmospheric pressure matrix-assisted laser desorption/ionization (AP-MALDI) mass spectrometry has enabled the untargeted analysis and imaging of neuropeptides and proteins in biological tissues under ambient conditions. Sensitivity in AP-MALDI can be improved by using sample-specific preparation methods. METHODS A comprehensive and detailed optimization strategy including instrument parameters, matrix spraying and sample tissue washing pretreatment was implemented to enhance the sensitivity and coverage of neuropeptides in mouse pituitary tissues by commercial AP-MALDI mass spectrometry imaging (MSI). RESULTS The sensitivity of a commercial AP-MALDI system for endogenous neuropeptides in mouse pituitary was enhanced by up to 15.2-fold by shortening the transmission gap from the sample plate to the inlet, attaching copper adhesive tape to an indium tin oxide-coated glass slide, optimizing the matrix spray solvent and using sample tissue washing pretreatment. Following careful optimization, the distributions of nine endogenous neuropeptides were successfully visualized in the pituitary. Furthermore, the quantitative capability of AP-MALDI for neuropeptides was evaluated and the concentrations of neuropeptides oxytocin and vasopressin in the pituitary posterior lobe were increased approximately twofold under hypertonic saline stress. CONCLUSION Mouse pituitary neuropeptides have emerged as important signaling molecules due to their role in stress response. This work indicates the potential of modified AP-MALDI as a promising AP MSI method for in situ visualization and quantification of neuropeptides in complex biological tissues.
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Affiliation(s)
- Qi Yang
- Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Chengyuan Liu
- National Synchrotron Radiation Laboratory, University of Science and Technology of China, Hefei, China
| | - Keke Qi
- National Synchrotron Radiation Laboratory, University of Science and Technology of China, Hefei, China
- High Magnetic Field Laboratory, Chinese Academy of Sciences, Hefei, China
| | - Ying Xiong
- Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Yang Pan
- National Synchrotron Radiation Laboratory, University of Science and Technology of China, Hefei, China
| | - Changlin Tian
- Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
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7
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Harvey DJ. Analysis of carbohydrates and glycoconjugates by matrix-assisted laser desorption/ionization mass spectrometry: An update for 2021-2022. MASS SPECTROMETRY REVIEWS 2024. [PMID: 38925550 DOI: 10.1002/mas.21873] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 02/05/2024] [Accepted: 02/12/2024] [Indexed: 06/28/2024]
Abstract
The use of matrix-assisted laser desorption/ionization (MALDI) mass spectrometry for the analysis of carbohydrates and glycoconjugates is a well-established technique and this review is the 12th update of the original article published in 1999 and brings coverage of the literature to the end of 2022. As with previous review, this review also includes a few papers that describe methods appropriate to analysis by MALDI, such as sample preparation, even though the ionization method is not MALDI. The review follows the same format as previous reviews. It is divided into three sections: (1) general aspects such as theory of the MALDI process, matrices, derivatization, MALDI imaging, fragmentation, quantification and the use of computer software for structural identification. (2) Applications to various structural types such as oligo- and polysaccharides, glycoproteins, glycolipids, glycosides and biopharmaceuticals, and (3) other general areas such as medicine, industrial processes, natural products and glycan synthesis where MALDI is extensively used. Much of the material relating to applications is presented in tabular form. MALDI is still an ideal technique for carbohydrate analysis, particularly in its ability to produce single ions from each analyte and advancements in the technique and range of applications show little sign of diminishing.
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Santos AA, Delgado TC, Marques V, Ramirez-Moncayo C, Alonso C, Vidal-Puig A, Hall Z, Martínez-Chantar ML, Rodrigues CM. Spatial metabolomics and its application in the liver. Hepatology 2024; 79:1158-1179. [PMID: 36811413 PMCID: PMC11020039 DOI: 10.1097/hep.0000000000000341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Accepted: 01/05/2023] [Indexed: 02/24/2023]
Abstract
Hepatocytes work in highly structured, repetitive hepatic lobules. Blood flow across the radial axis of the lobule generates oxygen, nutrient, and hormone gradients, which result in zoned spatial variability and functional diversity. This large heterogeneity suggests that hepatocytes in different lobule zones may have distinct gene expression profiles, metabolic features, regenerative capacity, and susceptibility to damage. Here, we describe the principles of liver zonation, introduce metabolomic approaches to study the spatial heterogeneity of the liver, and highlight the possibility of exploring the spatial metabolic profile, leading to a deeper understanding of the tissue metabolic organization. Spatial metabolomics can also reveal intercellular heterogeneity and its contribution to liver disease. These approaches facilitate the global characterization of liver metabolic function with high spatial resolution along physiological and pathological time scales. This review summarizes the state of the art for spatially resolved metabolomic analysis and the challenges that hinder the achievement of metabolome coverage at the single-cell level. We also discuss several major contributions to the understanding of liver spatial metabolism and conclude with our opinion on the future developments and applications of these exciting new technologies.
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Affiliation(s)
- André A. Santos
- Research Institute for Medicines (iMed.ULisboa), Faculty of Pharmacy, Universidade de Lisboa, Lisbon, Portugal
| | - Teresa C. Delgado
- Liver Disease Lab, Center for Cooperative Research in Biosciences (CIC bioGUNE), Basque Research and Technology Alliance, Derio, Bizkaia, Spain
- Congenital Metabolic Disorders, Biocruces Bizkaia Health Research Institute, Barakaldo, Spain
- Ikerbasque, Basque Foundation for Science, Bilbao, Spain
| | - Vanda Marques
- Research Institute for Medicines (iMed.ULisboa), Faculty of Pharmacy, Universidade de Lisboa, Lisbon, Portugal
| | - Carmen Ramirez-Moncayo
- Institute of Clinical Sciences, Imperial College London, London, UK
- MRC London Institute of Medical Sciences, London, UK
| | | | - Antonio Vidal-Puig
- MRC Metabolic Diseases Unit, Wellcome Trust-Medical Research Council Institute of Metabolic Science, University of Cambridge, Cambridge, UK
- Centro Investigation Principe Felipe, Valencia, Spain
| | - Zoe Hall
- Division of Systems Medicine, Imperial College London, London, UK
| | - María Luz Martínez-Chantar
- Liver Disease Lab, Center for Cooperative Research in Biosciences (CIC bioGUNE), Basque Research and Technology Alliance, Derio, Bizkaia, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Carlos III National Health Institute, Madrid, Spain
| | - Cecilia M.P. Rodrigues
- Research Institute for Medicines (iMed.ULisboa), Faculty of Pharmacy, Universidade de Lisboa, Lisbon, Portugal
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Lee J, Park JE, Lee D, Seo N, An HJ. Advancements in protein glycosylation biomarkers for ovarian cancer through mass spectrometry-based approaches. Expert Rev Mol Diagn 2024; 24:249-258. [PMID: 38112537 DOI: 10.1080/14737159.2023.2297933] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2023] [Accepted: 12/18/2023] [Indexed: 12/21/2023]
Abstract
INTRODUCTION Ovarian cancer, characterized by metastasis and reduced 5-year survival rates, stands as a substantial factor in the mortality of gynecological malignancies worldwide. The challenge of delayed diagnosis originates from vague early symptoms and the absence of efficient screening and diagnostic biomarkers for early cancer detection. Recent studies have explored the intricate interplay between ovarian cancer and protein glycosylation, unveiling the potential significance of glycosylation-oriented biomarkers. AREAS COVERED This review examines the progress in glycosylation biomarker research, with particular emphasis on advances driven by mass spectrometry-based technologies. We document milestones achieved, discuss encountered limitations, and also highlight potential areas for future research and development of protein glycosylation biomarkers for ovarian cancer. EXPERT OPINION The association of glycosylation in ovarian cancer is well known, but current research lacks desired sensitivity and specificity for early detection. Notably, investigations into protein-specific and site-specific glycoproteomics have the potential to significantly enhance our understanding of ovarian cancer and facilitate the identification of glycosylation-based biomarkers. Furthermore, the integration of advanced mass spectrometry techniques with AI-driven analysis and glycome databases holds the promise for revolutionizing biomarker discovery for ovarian cancer, ultimately transforming diagnosis and improving patient outcomes.
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Affiliation(s)
- Jua Lee
- Proteomics Center of Excellence, Chemistry of Life Processes Institute, Northwestern University, Evanston, IL, USA
| | - Ji Eun Park
- Graduate School of Analytical Science and Technology, Chungnam National University, Daejeon, Republic of Korea
- Asia Glycomics Reference Site, Daejeon, Republic of Korea
| | - Daum Lee
- Graduate School of Analytical Science and Technology, Chungnam National University, Daejeon, Republic of Korea
- Asia Glycomics Reference Site, Daejeon, Republic of Korea
| | - Nari Seo
- Graduate School of Analytical Science and Technology, Chungnam National University, Daejeon, Republic of Korea
- Asia Glycomics Reference Site, Daejeon, Republic of Korea
| | - Hyun Joo An
- Graduate School of Analytical Science and Technology, Chungnam National University, Daejeon, Republic of Korea
- Asia Glycomics Reference Site, Daejeon, Republic of Korea
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Jha D, Blennow K, Zetterberg H, Savas JN, Hanrieder J. Spatial neurolipidomics-MALDI mass spectrometry imaging of lipids in brain pathologies. JOURNAL OF MASS SPECTROMETRY : JMS 2024; 59:e5008. [PMID: 38445816 DOI: 10.1002/jms.5008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 01/03/2024] [Accepted: 01/25/2024] [Indexed: 03/07/2024]
Abstract
Given the complexity of nervous tissues, understanding neurochemical pathophysiology puts high demands on bioanalytical techniques with respect to specificity and sensitivity. Mass spectrometry imaging (MSI) has evolved to become an important, biochemical imaging technology for spatial biology in biological and translational research. The technique facilitates comprehensive, sensitive elucidation of the spatial distribution patterns of drugs, lipids, peptides, and small proteins in situ. Matrix-assisted laser desorption ionization (MALDI)-based MSI is the dominating modality due to its broad applicability and fair compromise of selectivity, sensitivity price, throughput, and ease of use. This is particularly relevant for the analysis of spatial lipid patterns, where no other comparable spatial profiling tools are available. Understanding spatial lipid biology in nervous tissue is therefore a key and emerging application area of MSI research. The aim of this review is to give a concise guide through the MSI workflow for lipid imaging in central nervous system (CNS) tissues and essential parameters to consider while developing and optimizing MSI assays. Further, this review provides a broad overview of key developments and applications of MALDI MSI-based spatial neurolipidomics to map lipid dynamics in neuronal structures, ultimately contributing to a better understanding of neurodegenerative disease pathology.
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Affiliation(s)
- Durga Jha
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal Hospital, Mölndal, Sweden
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal Hospital, Mölndal, Sweden
- Clinical Neurochemistry Lab, Sahlgrenska University Hospital, Mölndal, Sweden
- Paris Brain Institute, ICM, Pitié-Salpêtrière Hospital, Sorbonne University, Paris, France
- Neurodegenerative Disorder Research Center, Division of Life Sciences and Medicine, Department of Neurology, Institute on Aging and Brain Disorders, University of Science and Technology of China and First Affiliated Hospital of USTC, Hefei, China
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal Hospital, Mölndal, Sweden
- Clinical Neurochemistry Lab, Sahlgrenska University Hospital, Mölndal, Sweden
- UK Dementia Research Institute at UCL, London, UK
- Department of Neurodegenerative Disease, Queen Square Institute of Neurology, University College London, London, UK
- Hong Kong Center for Neurodegenerative Diseases, Clear Water Bay, Hong Kong, China
- Wisconsin Alzheimer's Disease Research Center, University of Wisconsin School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, USA
| | - Jeffrey N Savas
- Department of Neurology, Northwestern University Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Jörg Hanrieder
- Department of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, Sahlgrenska Academy at the University of Gothenburg, Mölndal Hospital, Mölndal, Sweden
- Clinical Neurochemistry Lab, Sahlgrenska University Hospital, Mölndal, Sweden
- Department of Neurodegenerative Disease, Queen Square Institute of Neurology, University College London, London, UK
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Dabija LG, Yousefi-Taemeh M, Duli E, Lemaire M, Ifa DR. Assessment of MALDI matrices for the detection and visualization of phosphatidylinositols and phosphoinositides in mouse kidneys through matrix-assisted laser desorption ionization mass spectrometry imaging (MALDI-MSI). Anal Bioanal Chem 2024; 416:1857-1865. [PMID: 38319357 DOI: 10.1007/s00216-024-05184-1] [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: 12/19/2023] [Revised: 01/23/2024] [Accepted: 01/26/2024] [Indexed: 02/07/2024]
Abstract
Phosphatidylinositols and their phosphorylated derivatives, known as phosphoinositides, are crucial in cellular processes, with their abnormalities linked to various diseases. Thus, identifying and measuring phosphoinositide levels in tissues are crucial for understanding their contributions to cellular processes and disease development. One powerful technique for mapping the spatial distribution of molecules in biological samples is matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI). This technique allows for the simultaneous detection and analysis of multiple lipid classes in situ, making it invaluable for unbiased lipidomic studies. However, detecting phosphoinositides with MALDI-MSI is challenging due to their relatively low abundance in tissues and complex matrix effects. Addressing this, our study focused on optimizing matrix selection and thickness for better detection of phosphatidylinositols and their phosphorylated forms in mouse kidney tissues. Various matrices were assessed, including 9AA, DAN, CMBT, and DHA, adjusting their coating to improve ionization efficiency. Our results demonstrate that DAN, DHA, and CMBT matrices produced high-intensity chemical images of phosphatidylinositol distributions within kidney sections. These matrices, particularly DAN, DHA, and CMBT, allowed the identification of even low-abundance phosphoinositides, through tentative identifications. Notably, DAN and DHA served as optimal candidates due to their prominent detection and ability to map a majority of phosphatidylinositol species, while CMBT showed potential detection capability for phosphatidylinositol triphosphate compounds. These findings not only provide valuable insights for future research on the involvement of phosphoinositides in kidney pathophysiology, but also propose the use of the identified optimal matrices, particularly DAN and DHA, as the preferred choices for enhanced detection and mapping of these lipid species in future studies.
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Affiliation(s)
- Laurentiu G Dabija
- Department of Chemistry, Faculty of Science, York University, Toronto, ON, Canada
| | | | - Ergi Duli
- Cell Biology Program, Division of Nephrology, Department of Pediatrics, SickKids Research Institute, The Hospital for Sick Children, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Mathieu Lemaire
- Cell Biology Program, Division of Nephrology, Department of Pediatrics, SickKids Research Institute, The Hospital for Sick Children, Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Demian R Ifa
- Department of Chemistry, Faculty of Science, York University, Toronto, ON, Canada.
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12
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Holbrook JH, Kemper GE, Hummon AB. Quantitative mass spectrometry imaging: therapeutics & biomolecules. Chem Commun (Camb) 2024; 60:2137-2151. [PMID: 38284765 PMCID: PMC10878071 DOI: 10.1039/d3cc05988j] [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: 12/08/2023] [Accepted: 01/22/2024] [Indexed: 01/30/2024]
Abstract
Mass spectrometry imaging (MSI) has become increasingly utilized in the analysis of biological molecules. MSI grants the ability to spatially map thousands of molecules within one experimental run in a label-free manner. While MSI is considered by most to be a qualitative method, recent advancements in instrumentation, sample preparation, and development of standards has made quantitative MSI (qMSI) more common. In this feature article, we present a tailored review of recent advancements in qMSI of therapeutics and biomolecules such as lipids and peptides/proteins. We also provide detailed experimental considerations for conducting qMSI studies on biological samples, aiming to advance the methodology.
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Affiliation(s)
- Joseph H Holbrook
- Ohio State Biochemistry Program, The Ohio State University, Columbus, Ohio 43210, USA.
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, USA
| | - Gabrielle E Kemper
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, USA
| | - Amanda B Hummon
- Ohio State Biochemistry Program, The Ohio State University, Columbus, Ohio 43210, USA.
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, USA
- Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio 43210, USA
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13
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Moreno-Rodriguez M, Perez SE, Martinez-Gardeazabal J, Manuel I, Malek-Ahmadi M, Rodriguez-Puertas R, Mufson EJ. Frontal Cortex Lipid Alterations During the Onset of Alzheimer's Disease. J Alzheimers Dis 2024; 98:1515-1532. [PMID: 38578893 DOI: 10.3233/jad-231485] [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] [Indexed: 04/07/2024]
Abstract
Background Although sporadic Alzheimer's disease (AD) is a neurodegenerative disorder of unknown etiology, familial AD is associated with specific gene mutations. A commonality between these forms of AD is that both display multiple pathogenic events including cholinergic and lipid dysregulation. Objective We aimed to identify the relevant lipids and the activity of their related receptors in the frontal cortex and correlating them with cognition during the progression of AD. Methods MALDI-mass spectrometry imaging (MSI) and functional autoradiography was used to evaluate the distribution of phospholipids/sphingolipids and the activity of cannabinoid 1 (CB1), sphingosine 1-phosphate 1 (S1P1), and muscarinic M2/M4 receptors in the frontal cortex (FC) of people that come to autopsy with premortem clinical diagnosis of AD, mild cognitive impairment (MCI), and no cognitive impairment (NCI). Results MALDI-MSI revealed an increase in myelin-related lipids, such as diacylglycerol (DG) 36:1, DG 38:5, and phosphatidic acid (PA) 40:6 in the white matter (WM) in MCI compared to NCI, and a downregulation of WM phosphatidylinositol (PI) 38:4 and PI 38:5 levels in AD compared to NCI. Elevated levels of phosphatidylcholine (PC) 32:1, PC 34:0, and sphingomyelin 38:1 were observed in discrete lipid accumulations in the FC supragranular layers during disease progression. Muscarinic M2/M4 receptor activation in layers V-VI decreased in AD compared to MCI. CB1 receptor activity was upregulated in layers V-VI, while S1P1 was downregulated within WM in AD relative to NCI. Conclusions FC WM lipidomic alterations are associated with myelin dyshomeostasis in prodromal AD, suggesting WM lipid maintenance as a potential therapeutic target for dementia.
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Affiliation(s)
- Marta Moreno-Rodriguez
- Department of Translational Neuroscience, Barrow Neurological Institute, Phoenix, AZ, USA
| | - Sylvia E Perez
- Department of Translational Neuroscience, Barrow Neurological Institute, Phoenix, AZ, USA
| | | | - Ivan Manuel
- Department of Pharmacology, Faculty of Medicine and Nursing, University of the Basque Country, Leioa, Spain
- Neurodegenerative Diseases, BioBizkaia Health Research Institute, Barakaldo, Spain
| | | | - Rafael Rodriguez-Puertas
- Department of Pharmacology, Faculty of Medicine and Nursing, University of the Basque Country, Leioa, Spain
- Neurodegenerative Diseases, BioBizkaia Health Research Institute, Barakaldo, Spain
| | - Elliott J Mufson
- Department of Translational Neuroscience, Barrow Neurological Institute, Phoenix, AZ, USA
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14
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Yang E, Shen XE, West‐Foyle H, Hahm T, Siegler MA, Brown DR, Johnson CC, Kim JH, Roker LA, Tressler CM, Barman I, Kuo SC, Glunde K. FluoMALDI Microscopy: Matrix Co-Crystallization Simultaneously Enhances Fluorescence and MALDI Imaging. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2304343. [PMID: 37908150 PMCID: PMC10724403 DOI: 10.1002/advs.202304343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2023] [Revised: 09/15/2023] [Indexed: 11/02/2023]
Abstract
Here, the authors report that co-crystallization of fluorophores with matrix-assisted laser desorption/ionization (MALDI) imaging matrices significantly enhances fluorophore brightness up to 79-fold, enabling the amplification of innate tissue autofluorescence. This discovery facilitates FluoMALDI, the imaging of the same biological sample by both fluorescence microscopy and MALDI imaging. The approach combines the high spatial resolution and specific labeling capabilities of fluorescence microscopy with the inherently multiplexed, versatile imaging capabilities of MALDI imaging. This new paradigm simplifies registration by avoiding physical changes between fluorescence and MALDI imaging, allowing to image the exact same cells in tissues with both modalities. Matrix-fluorophore co-crystallization also facilitates applications with insufficient fluorescence brightness. The authors demonstrate feasibility of FluoMALDI imaging with endogenous and exogenous fluorophores and autofluorescence-based FluoMALDI of brain and kidney tissue sections. FluoMALDI will advance structural-functional microscopic imaging in cell biology, biomedicine, and pathology.
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Affiliation(s)
- Ethan Yang
- Russell H. Morgan Department of Radiology and Radiological ScienceJohns Hopkins University School of MedicineBaltimoreMD21287USA
- Applied Imaging Mass Spectrometry CoreJohns Hopkins University School of MedicineBaltimoreMD21287USA
| | - Xinyi Elaine Shen
- Russell H. Morgan Department of Radiology and Radiological ScienceJohns Hopkins University School of MedicineBaltimoreMD21287USA
- Applied Imaging Mass Spectrometry CoreJohns Hopkins University School of MedicineBaltimoreMD21287USA
| | - Hoku West‐Foyle
- Microscope FacilityJohns Hopkins University School of MedicineBaltimoreMD21205USA
- Department of Cell BiologyJohns Hopkins University School of MedicineBaltimoreMD21205USA
| | - Tae‐Hun Hahm
- Russell H. Morgan Department of Radiology and Radiological ScienceJohns Hopkins University School of MedicineBaltimoreMD21287USA
- Applied Imaging Mass Spectrometry CoreJohns Hopkins University School of MedicineBaltimoreMD21287USA
| | | | - Dalton R. Brown
- Russell H. Morgan Department of Radiology and Radiological ScienceJohns Hopkins University School of MedicineBaltimoreMD21287USA
- Applied Imaging Mass Spectrometry CoreJohns Hopkins University School of MedicineBaltimoreMD21287USA
| | - Cole C. Johnson
- Russell H. Morgan Department of Radiology and Radiological ScienceJohns Hopkins University School of MedicineBaltimoreMD21287USA
- Applied Imaging Mass Spectrometry CoreJohns Hopkins University School of MedicineBaltimoreMD21287USA
| | - Jeong Hee Kim
- Department of Mechanical EngineeringJohns Hopkins UniversityBaltimoreMD21218USA
| | - LaToya Ann Roker
- Microscope FacilityJohns Hopkins University School of MedicineBaltimoreMD21205USA
- Department of Cell BiologyJohns Hopkins University School of MedicineBaltimoreMD21205USA
| | - Caitlin M. Tressler
- Russell H. Morgan Department of Radiology and Radiological ScienceJohns Hopkins University School of MedicineBaltimoreMD21287USA
- Applied Imaging Mass Spectrometry CoreJohns Hopkins University School of MedicineBaltimoreMD21287USA
| | - Ishan Barman
- Russell H. Morgan Department of Radiology and Radiological ScienceJohns Hopkins University School of MedicineBaltimoreMD21287USA
- Department of Mechanical EngineeringJohns Hopkins UniversityBaltimoreMD21218USA
- Sidney Kimmel Comprehensive Cancer CancerJohns Hopkins University School of MedicineBaltimoreMD21231USA
| | - Scot C. Kuo
- Microscope FacilityJohns Hopkins University School of MedicineBaltimoreMD21205USA
- Department of Cell BiologyJohns Hopkins University School of MedicineBaltimoreMD21205USA
- Department of Biomedical EngineeringJohns Hopkins University School of MedicineBaltimoreMD21218USA
| | - Kristine Glunde
- Russell H. Morgan Department of Radiology and Radiological ScienceJohns Hopkins University School of MedicineBaltimoreMD21287USA
- Applied Imaging Mass Spectrometry CoreJohns Hopkins University School of MedicineBaltimoreMD21287USA
- Sidney Kimmel Comprehensive Cancer CancerJohns Hopkins University School of MedicineBaltimoreMD21231USA
- Department of Biological ChemistryJohns Hopkins University School of MedicineBaltimoreMD21205USA
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15
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Lu T, Freytag L, Narayana VK, Moore Z, Oliver SJ, Valkovic A, Nijagal B, Peterson AL, de Souza DP, McConville MJ, Whittle JR, Best SA, Freytag S. Matrix Selection for the Visualization of Small Molecules and Lipids in Brain Tumors Using Untargeted MALDI-TOF Mass Spectrometry Imaging. Metabolites 2023; 13:1139. [PMID: 37999235 PMCID: PMC10673325 DOI: 10.3390/metabo13111139] [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: 09/26/2023] [Revised: 11/03/2023] [Accepted: 11/07/2023] [Indexed: 11/25/2023] Open
Abstract
Matrix-assisted laser desorption/ionization mass spectrometry imaging allows for the study of metabolic activity in the tumor microenvironment of brain cancers. The detectable metabolites within these tumors are contingent upon the choice of matrix, deposition technique, and polarity setting. In this study, we compared the performance of three different matrices, two deposition techniques, and the use of positive and negative polarity in two different brain cancer types and across two species. Optimal combinations were confirmed by a comparative analysis of lipid and small-molecule abundance by using liquid chromatography-mass spectrometry and RNA sequencing to assess differential metabolites and enzymes between normal and tumor regions. Our findings indicate that in the tumor-bearing brain, the recrystallized α-cyano-4-hydroxycinnamic acid matrix with positive polarity offered superior performance for both detected metabolites and consistency with other techniques. Beyond these implications for brain cancer, our work establishes a workflow to identify optimal matrices for spatial metabolomics studies.
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Affiliation(s)
- Tianyao Lu
- Personalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Melbourne 3052, Australia
- Department of Medical Biology, University of Melbourne, Melbourne 3052, Australia
| | - Lutz Freytag
- Personalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Melbourne 3052, Australia
| | - Vinod K. Narayana
- Metabolomics Australia, Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Melbourne 3010, Australia
| | - Zachery Moore
- Personalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Melbourne 3052, Australia
- Department of Medical Biology, University of Melbourne, Melbourne 3052, Australia
| | - Shannon J. Oliver
- Personalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Melbourne 3052, Australia
| | - Adam Valkovic
- Personalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Melbourne 3052, Australia
| | - Brunda Nijagal
- Metabolomics Australia, Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Melbourne 3010, Australia
| | - Amanda L. Peterson
- Metabolomics Australia, Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Melbourne 3010, Australia
| | - David P. de Souza
- Metabolomics Australia, Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Melbourne 3010, Australia
| | - Malcolm J. McConville
- Metabolomics Australia, Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Melbourne 3010, Australia
- Department of Biochemistry and Molecular Biology, Bio21 Institute of Molecular Science and Biotechnology, University of Melbourne, Melbourne 3010, Australia
| | - James R. Whittle
- Personalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Melbourne 3052, Australia
- Department of Medical Biology, University of Melbourne, Melbourne 3052, Australia
- Department of Medical Oncology, Peter MacCallum Cancer Centre, Melbourne 3052, Australia
| | - Sarah A. Best
- Personalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Melbourne 3052, Australia
- Department of Medical Biology, University of Melbourne, Melbourne 3052, Australia
| | - Saskia Freytag
- Personalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Melbourne 3052, Australia
- Department of Medical Biology, University of Melbourne, Melbourne 3052, Australia
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16
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Abstract
Imaging mass spectrometry is a well-established technology that can easily and succinctly communicate the spatial localization of molecules within samples. This review communicates the recent advances in the field, with a specific focus on matrix-assisted laser desorption/ionization (MALDI) imaging mass spectrometry (IMS) applied on tissues. The general sample preparation strategies for different analyte classes are explored, including special considerations for sample types (fresh frozen or formalin-fixed,) strategies for various analytes (lipids, metabolites, proteins, peptides, and glycans) and how multimodal imaging strategies can leverage the strengths of each approach is mentioned. This work explores appropriate experimental design approaches and standardization of processes needed for successful studies, as well as the various data analysis platforms available to analyze data and their strengths. The review concludes with applications of imaging mass spectrometry in various fields, with a focus on medical research, and some examples from plant biology and microbe metabolism are mentioned, to illustrate the breadth and depth of MALDI IMS.
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Affiliation(s)
- Jessica L Moore
- Department of Proteomics, Discovery Life Sciences, Huntsville, Alabama 35806, United States
| | - Georgia Charkoftaki
- Department of Environmental Health Sciences, Yale School of Public Health, Yale University, New Haven, Connecticut 06520, United States
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17
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Feucherolles M, Le W, Bour J, Jacques C, Duplan H, Frache G. A Comprehensive Comparison of Tissue Processing Methods for High-Quality MALDI Imaging of Lipids in Reconstructed Human Epidermis. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2023; 34:2469-2480. [PMID: 37843012 PMCID: PMC10623569 DOI: 10.1021/jasms.3c00185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Revised: 09/27/2023] [Accepted: 09/29/2023] [Indexed: 10/17/2023]
Abstract
Matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI) has become an important tool for skin analysis, as it allows the simultaneous detection and localization of diverse molecular species within a sample. The use of in vivo and ex vivo human skin models is costly and presents ethical issues; therefore, reconstructed human epidermis (RHE) models, which mimic the upper part of native human skin, represent a suitable alternative to investigate adverse effects of chemicals applied to the skin. However, there are few publications investigating the feasibility of using MALDI MSI on RHE models. Therefore, the aim of this study was to investigate the effect of sample preparation techniques, i.e., substrate, sample thickness, washing, and matrix recrystallization, on the quality of MALDI MSI for lipids analysis of the SkinEthic RHE model. Images were generated using an atmospheric pressure MALDI source coupled to a high-resolution mass spectrometer with a pixel size of 5 μm. Masses detected in a defined region of interest were analyzed and annotated using the LipostarMSI platform. The results indicated that the combination of (1) coated metallic substrates, such as APTES-coated stainless-steel plates, (2) tissue sections of 6 μm thickness, and (3) aqueous washing before HCCA matrix spraying (without recrystallization), resulted in images with a significant signal intensity as well as numerous m/z values. This refined methodology using AP-MALDI coupled to a high-resolution mass spectrometer should improve the current sample preparation workflow to evaluate changes in skin composition after application of dermatocosmetics.
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Affiliation(s)
- Maureen Feucherolles
- Luxembourg
Institute of Science and Technology (LIST), Molecular and Thermal Analysis, Materials Research
and Technology, L-4422 Belvaux, Luxembourg
| | - William Le
- Luxembourg
Institute of Science and Technology (LIST), Molecular and Thermal Analysis, Materials Research
and Technology, L-4422 Belvaux, Luxembourg
| | - Jérôme Bour
- Luxembourg
Institute of Science and Technology (LIST), Molecular and Thermal Analysis, Materials Research
and Technology, L-4422 Belvaux, Luxembourg
| | - Carine Jacques
- Pierre
Fabre Dermo-Cosmétique et Personal Care, Centre R&D Pierre Fabre, Avenue Hubert Curien, 31025 Toulouse Cedex 01, France
| | - Hélène Duplan
- Pierre
Fabre Dermo-Cosmétique et Personal Care, Centre R&D Pierre Fabre, Avenue Hubert Curien, 31025 Toulouse Cedex 01, France
| | - Gilles Frache
- Luxembourg
Institute of Science and Technology (LIST), Molecular and Thermal Analysis, Materials Research
and Technology, L-4422 Belvaux, Luxembourg
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18
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Ledoux L, Zirem Y, Renaud F, Duponchel L, Salzet M, Ogrinc N, Fournier I. Comparing MS imaging of lipids by WALDI and MALDI: two technologies for evaluating a common ground truth in MS imaging. Analyst 2023; 148:4982-4986. [PMID: 37740342 DOI: 10.1039/d3an01096a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 09/24/2023]
Abstract
In this study, we conducted a direct comparison of water-assisted laser desorption ionization (WALDI) and matrix-assisted laser desorption ionization (MALDI) mass spectrometry imaging, with MALDI serving as the benchmark for label-free molecular tissue analysis in biomedical research. Specifically, we investigated the lipidomic profiles of several biological samples and calculated the similarity of detected peaks and Pearson's correlation of spectral profile intensities between the two techniques. We show that, overall, MALDI MS and WALDI MS present very close lipidomic analyses and that the highest similarity is obtained for the norharmane MALDI matrix. Indeed, for norharmane in negative ion mode, the lipidomic spectra revealed 100% similarity of detected peaks and over 0.90 intensity correlation between both technologies for five samples. The MALDI-MSI positive ion lipid spectra displayed more than 83% similarity of detected peaks compared to those of WALDI-MSI. However, we observed a lower percentage (77%) of detected peaks when comparing WALDI-MSI with MALDI-MSI due to the rich WALDI-MSI lipid spectra. Despite this difference, the global lipidomic spectra showed high consistency between the two technologies, indicating that they are governed by similar processes. Thanks to this similarity, we can increase datasets by including data from both modalities to either co-train classification models or obtain cross-interrogation.
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Affiliation(s)
- Léa Ledoux
- Univ. Lille, Inserm, CHU Lille, U1192 - Protéomique Réponse Inflammatoire Spectrométrie de Masse - PRISM, F-59000 Lille, France.
| | - Yanis Zirem
- Univ. Lille, Inserm, CHU Lille, U1192 - Protéomique Réponse Inflammatoire Spectrométrie de Masse - PRISM, F-59000 Lille, France.
| | - Florence Renaud
- Unité mixte SIRIC CURAMUS et 938, Inserm. Université Paris Sorbonne, France
| | | | - Michel Salzet
- Univ. Lille, Inserm, CHU Lille, U1192 - Protéomique Réponse Inflammatoire Spectrométrie de Masse - PRISM, F-59000 Lille, France.
- Institut Universitaire de France (IUF), Paris, France
| | - Nina Ogrinc
- Univ. Lille, Inserm, CHU Lille, U1192 - Protéomique Réponse Inflammatoire Spectrométrie de Masse - PRISM, F-59000 Lille, France.
| | - Isabelle Fournier
- Univ. Lille, Inserm, CHU Lille, U1192 - Protéomique Réponse Inflammatoire Spectrométrie de Masse - PRISM, F-59000 Lille, France.
- Institut Universitaire de France (IUF), Paris, France
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19
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Bourceau P, Geier B, Suerdieck V, Bien T, Soltwisch J, Dreisewerd K, Liebeke M. Visualization of metabolites and microbes at high spatial resolution using MALDI mass spectrometry imaging and in situ fluorescence labeling. Nat Protoc 2023; 18:3050-3079. [PMID: 37674095 DOI: 10.1038/s41596-023-00864-1] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 05/31/2023] [Indexed: 09/08/2023]
Abstract
Label-free molecular imaging techniques such as matrix-assisted laser desorption ionization mass spectrometry imaging (MALDI-MSI) enable the direct and simultaneous mapping of hundreds of different metabolites in thin sections of biological tissues. However, in host-microbe interactions it remains challenging to localize microbes and to assign metabolites to the host versus members of the microbiome. We therefore developed a correlative imaging approach combining MALDI-MSI with fluorescence in situ hybridization (FISH) on the same section to identify and localize microbial cells. Here, we detail metaFISH as a robust and easy method for assigning the spatial distribution of metabolites to microbiome members based on imaging of nucleic acid probes, down to single-cell resolution. We describe the steps required for tissue preparation, on-tissue hybridization, fluorescence microscopy, data integration into a correlative image dataset, matrix application and MSI data acquisition. Using metaFISH, we map hundreds of metabolites and several microbial species to the micrometer scale on a single tissue section. For example, intra- and extracellular bacteria, host cells and their associated metabolites can be localized in animal tissues, revealing their complex metabolic interactions. We explain how we identify low-abundance bacterial infection sites as regions of interest for high-resolution MSI analysis, guiding the user to a trade-off between metabolite signal intensities and fluorescence signals. MetaFISH is suitable for a broad range of users from environmental microbiologists to clinical scientists. The protocol requires ~2 work days.
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Affiliation(s)
- Patric Bourceau
- Max Planck Institute for Marine Microbiology, Bremen, Germany
- MARUM - Center for Marine Environmental Sciences, University of Bremen, Bremen, Germany
| | - Benedikt Geier
- Max Planck Institute for Marine Microbiology, Bremen, Germany
- Stanford University School of Medicine, Stanford, CA, USA
| | | | - Tanja Bien
- Institute of Hygiene, University of Münster, Münster, Germany
- Bruker Daltonics GmbH & Co. KG, Bremen, Germany
| | - Jens Soltwisch
- Institute of Hygiene, University of Münster, Münster, Germany
| | | | - Manuel Liebeke
- Max Planck Institute for Marine Microbiology, Bremen, Germany.
- Institute of Human Nutrition and Food Sciences, University of Kiel, Kiel, Germany.
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20
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Ollen-Bittle N, Lowry CA, Donovan KE, Andrew RD, Whitehead SN. Validating MALDI-IMS Feasibility in Ex Vivo Brain Slices. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2023. [PMID: 37471497 DOI: 10.1021/jasms.3c00152] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/22/2023]
Abstract
Matrix-assisted laser desorption ionization imaging mass spectrometry (MALDI-IMS) generates unique mass spectra in X/Y coordinates across a tissue sample, thus allowing for the spatial detection and relative quantification of biologic compounds in situ. The soft ionization of MALDI-IMS makes it an ideal technique for high-resolution imaging of complex lipid species. Lipid-based spatial chemical maps derived from MALDI-IMS provide critical insight into the unique molecular profiles of a variety of neurologic diseases. Ex vivo brain slice preparations are a prominent alternative to in vivo animal models for studying many different neurologic conditions. For the first time, we present a feasible protocol for achieving reproducible lipidomic MALDI-IMS data from ex vivo rat brain slices and provide evidence that ex vivo brain slices maintain spatiochemical lipidomic profiles representative of an intact whole brain. We conducted a methods comparison assessing the lipid profiles within the neocortex, striatum, and corpus callosum between coronal sections taken from ex vivo brain slices and the current gold standard tissue preparation method, fresh frozen whole brains. For the first time we demonstrate a technique by which 400 μm ex vivo brain slices can be extracted from an imaging chamber and prepared for MALDI-IMS in a way that preserves their lipidomic integrity. We demonstrate the feasibility of MALDI-IMS in ex vivo brain slices and provide a roadmap for MALDI-IMS utilization in uncharted neuroscience fields.
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Affiliation(s)
- Nikita Ollen-Bittle
- Department of Anatomy and Cell Biology, Western University, London, Ontario N6A 5C1, Canada
| | - Chloe A Lowry
- Centre for Neuroscience Studies, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - Katherine E Donovan
- Department of Chemistry, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - R David Andrew
- Centre for Neuroscience Studies, Queen's University, Kingston, Ontario K7L 3N6, Canada
| | - Shawn N Whitehead
- Department of Anatomy and Cell Biology, Western University, London, Ontario N6A 5C1, Canada
- Deparment of Clinical Neurological Sciences, Western University, London, Ontario N6A 5C1, Canada
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21
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Holbrook JH, Sekera ER, Lopez A, Fries BD, Tobias F, Akkaya K, Mihaylova MM, Hummon AB. Enhancement of Lipid Signals in Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry with Ammonium Fluoride as a Matrix Additive. Anal Chem 2023; 95:10603-10609. [PMID: 37418337 PMCID: PMC10655718 DOI: 10.1021/acs.analchem.3c00753] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/09/2023]
Abstract
Lipids are essential macromolecules that play a crucial role in numerous biological events. Lipids are structurally diverse which allows them to fulfill multiple functional roles. Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) is a powerful tool to understand the spatial localization of lipids within biological systems. Herein, we report the use of ammonium fluoride (NH4F) as a comatrix additive to enhance lipid detection in biological samples, with a signal increase of up to 200%. Emphasis was placed on anionic lipid enhancement with negative polarity measurements, with some preliminary work on cationic lipids detailed. We observed lipid signal enhancement of [M-H]- ions with the addition of NH4F additive attributed to a proton transfer reaction in several different lipid classes. Overall, our study demonstrates that the use of the NH4F comatrix additive substantially improves sensitivity for lipid detection in a MALDI system and is capable of being applied to a variety of different applications.
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Affiliation(s)
- Joseph H. Holbrook
- Ohio State Biochemistry Program, The Ohio State University, Columbus, Ohio 43210, United States
| | - Emily R. Sekera
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, United States
| | - Arbil Lopez
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, United States
| | - Brian D. Fries
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, United States
| | - Fernando Tobias
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, United States
| | - Kubra Akkaya
- Department of Biological Chemistry and Pharmacology, The Ohio State University, Columbus, Ohio 43210, United States
| | - Maria M. Mihaylova
- Ohio State Biochemistry Program, The Ohio State University, Columbus, Ohio 43210, United States
- Department of Biological Chemistry and Pharmacology, The Ohio State University, Columbus, Ohio 43210, United States
- Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio 43210, United States
| | - Amanda B. Hummon
- Ohio State Biochemistry Program, The Ohio State University, Columbus, Ohio 43210, United States
- Department of Chemistry and Biochemistry, The Ohio State University, Columbus, Ohio 43210, United States
- Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio 43210, United States
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22
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Lesco KC, Rowland SM, Ratanathanawongs Williams SK, Laurens LML. Single-filament imaging mass spectrometry lipidomics in Arthrospira platensis. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2023; 37:e9525. [PMID: 37062938 DOI: 10.1002/rcm.9525] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/20/2023] [Revised: 04/13/2023] [Accepted: 04/14/2023] [Indexed: 06/17/2023]
Abstract
RATIONALE Elucidating intra-organismal biochemical and lipid organization in photosynthetic biological cell factories of filamentous cyanobacteria, such as Arthrospira platensis (Spirulina), is important for tracking physiological response mechanisms during growth. Little is known about the filaments' biochemical organization and cellular structure and no label-free imaging techniques exist that provide molecular mapping. METHODS We applied ultrahigh-resolution mass spectrometry (MS) with matrix-assisted laser desorption ionization (MALDI) imaging to immobilized Spirulina filaments to investigate the localization of lipids across distinct physiological regions. We optimized matrix selection and deposition methods with the goal of facilitating high spatial, and intra-filament, resolution using untargeted multivariate statistical spectral deconvolution across MS pixels. RESULTS Our results demonstrate an improved two-step matrix application with an optimized procedure for intra-organismal lipid profiling to improve analyte sensitivity and achieve higher spatial resolution. We evaluate several conventional matrices, namely 2,5-dihydroxybenzoic acid (DHB), superDHB (sDHB), 1,5-diaminonaphthalene (DAN), and a 50:50 mix of DHB and sDHB, and compare delineation and pixel-based elucidation of intra-filament lipidomics. We identified a total of 1626 features that could be putatively assigned a lipid-like formula based on database query and 46 unique features, with associated lipid assignments that were significantly distinct in their intra-filament location. CONCLUSIONS MALDI imaging MS with untargeted statistical spectral deconvolution was used to visualize intra-filament lipidomics organization in Spirulina filaments. Improvements in matrix deposition, including sequential sublimation and pneumatic spraying, increased signal abundance at high spatial resolution and allowed for identification of distinct lipid composition regions. This work outlines a methodology that may be used for micro-ecological untargeted molecular phenotyping.
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Affiliation(s)
- Kaitlin C Lesco
- Bioenergy Science and Technology Directorate, National Renewable Energy Laboratory, Golden, Colorado, USA
- Laboratory for Advanced Separation Technologies, Department of Chemistry, Colorado School of Mines, Golden, Colorado, USA
| | - Steven M Rowland
- Bioenergy Science and Technology Directorate, National Renewable Energy Laboratory, Golden, Colorado, USA
| | | | - Lieve M L Laurens
- Bioenergy Science and Technology Directorate, National Renewable Energy Laboratory, Golden, Colorado, USA
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23
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Forsman TT, Paulson AE, Larson EA, Looft T, Lee YJ. On-tissue chemical derivatization of volatile metabolites for matrix-assisted laser desorption/ionization mass spectrometry imaging. JOURNAL OF MASS SPECTROMETRY : JMS 2023; 58:e4918. [PMID: 37045444 DOI: 10.1002/jms.4918] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 03/14/2023] [Accepted: 03/29/2023] [Indexed: 06/19/2023]
Abstract
Mass spectrometry imaging (MSI) of volatile metabolites is challenging, especially in matrix-assisted laser desorption/ionization (MALDI). Most MALDI ion sources operate in vacuum, which leads to the vaporization of volatile metabolites during analysis. In addition, tissue samples are often dried during sample preparation, leading to the loss of volatile metabolites even for other MSI techniques. On-tissue chemical derivatization can dramatically reduce the volatility of analytes. Herein, a derivatization method is proposed utilizing N,N,N-trimethyl-2-(piperazin-1-yl)ethan-1-aminium iodide to chemically modify short-chain fatty acids in chicken cecum, ileum, and jejunum tissue sections before sample preparation for MSI visualization.
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Affiliation(s)
- Trevor T Forsman
- Department of Chemistry, Iowa State University, Ames, Iowa, 50011, USA
| | - Andrew E Paulson
- Department of Chemistry, Iowa State University, Ames, Iowa, 50011, USA
| | - Evan A Larson
- Department of Chemistry, Iowa State University, Ames, Iowa, 50011, USA
| | - Torey Looft
- National Animal Disease Center, Agricultural Research Services, United States Department of Agriculture, Ames, Iowa, 50010, USA
| | - Young Jin Lee
- Department of Chemistry, Iowa State University, Ames, Iowa, 50011, USA
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24
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Stoffels CBA, Angerer TB, Robert H, Poupin N, Lakhal L, Frache G, Mercier-Bonin M, Audinot JN. Lipidomic Profiling of PFOA-Exposed Mouse Liver by Multi-Modal Mass Spectrometry Analysis. Anal Chem 2023; 95:6568-6576. [PMID: 37027489 PMCID: PMC10134131 DOI: 10.1021/acs.analchem.2c05470] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/09/2023]
Abstract
Perfluorooctanoic acid (PFOA) is a synthetic perfluorinated chemical classified as a persistent organic pollutant. PFOA has been linked to many toxic effects, including liver injury. Many studies report that PFOA exposure alters serum and hepatic lipid metabolism. However, lipidomic pathways altered by PFOA exposure are largely unknown and only a few lipid classes, mostly triacylglycerol (TG), are usually considered in lipid analysis. Here, we performed a global lipidomic analysis on the liver of PFOA-exposed (high-dose and short-duration) and control mice by combining three mass spectrometry (MS) techniques: liquid chromatography with tandem mass spectrometry (LC-MS/MS), matrix-assisted laser desorption ionization mass spectrometry imaging (MALDI-MSI), and time-of-flight secondary ion mass spectrometry (TOF-SIMS). Among all hepatic lipids identified by LC-MS/MS analysis, more than 350 were statistically impacted (increased or decreased levels) after PFOA exposure, as confirmed by multi-variate data analysis. The levels of many lipid species from different lipid classes, most notably phosphatidylethanolamine (PE), phosphatidylcholine (PC), and TG, were significantly altered. Subsequent lipidomic analysis highlights the pathways significantly impacted by PFOA exposure, with the glycerophospholipid metabolism being the most impacted, and the changes in the lipidome network, which connects all the lipid species together. MALDI-MSI displays the heterogeneous distribution of the affected lipids and PFOA, revealing different areas of lipid expression linked to PFOA localization. TOF-SIMS localizes PFOA at the cellular level, supporting MALDI-MSI results. This multi-modal MS analysis unveils the lipidomic impact of PFOA in the mouse liver after high-dose and short-term exposure and opens new opportunities in toxicology.
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Affiliation(s)
- Charlotte B A Stoffels
- Department of Materials Research and Technology, Luxembourg Institute of Science and Technology, Belvaux 4422, Luxembourg
- Faculty of Science, Technology and Medicine, University of Luxembourg, Esch-sur-Alzette 4365, Luxembourg
| | - Tina B Angerer
- Department of Materials Research and Technology, Luxembourg Institute of Science and Technology, Belvaux 4422, Luxembourg
| | - Hervé Robert
- Toxalim, Université de Toulouse, INRAE, INP-ENVT, INP-EI-Purpan, Université de Toulouse 3 Paul Sabatier, Toulouse 31027, France
| | - Nathalie Poupin
- Toxalim, Université de Toulouse, INRAE, INP-ENVT, INP-EI-Purpan, Université de Toulouse 3 Paul Sabatier, Toulouse 31027, France
| | - Laila Lakhal
- Toxalim, Université de Toulouse, INRAE, INP-ENVT, INP-EI-Purpan, Université de Toulouse 3 Paul Sabatier, Toulouse 31027, France
| | - Gilles Frache
- Department of Materials Research and Technology, Luxembourg Institute of Science and Technology, Belvaux 4422, Luxembourg
| | - Muriel Mercier-Bonin
- Toxalim, Université de Toulouse, INRAE, INP-ENVT, INP-EI-Purpan, Université de Toulouse 3 Paul Sabatier, Toulouse 31027, France
| | - Jean-Nicolas Audinot
- Department of Materials Research and Technology, Luxembourg Institute of Science and Technology, Belvaux 4422, Luxembourg
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25
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Leopold J, Prabutzki P, Engel KM, Schiller J. A Five-Year Update on Matrix Compounds for MALDI-MS Analysis of Lipids. Biomolecules 2023; 13:biom13030546. [PMID: 36979481 PMCID: PMC10046246 DOI: 10.3390/biom13030546] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Revised: 03/11/2023] [Accepted: 03/12/2023] [Indexed: 03/19/2023] Open
Abstract
Matrix-assisted laser desorption and ionization (MALDI) is a widely used soft-ionization technique of modern mass spectrometry (MS). MALDI enables the analysis of nearly all chemical compounds—including polar and apolar (phospho)lipids—with a minimum extent of fragmentation. MALDI has some particular advantages (such as the possibility to acquire spatially-resolved spectra) and is competitive with the simultaneously developed ESI (electrospray ionization) MS. Although there are still some methodological aspects that need to be elucidated in more detail, it is obvious that the careful selection of an appropriate matrix plays the most important role in (lipid) analysis. Some lipid classes can be detected exclusively if the optimum matrix is used, and the matrix determines the sensitivity by which a particular lipid is detected within a mixture. Since the matrix is, thus, crucial for optimum results, we provide here an update on the progress in the field since our original review in this journal in 2018. Thus, only the development during the last five years is considered, and lipids are sorted according to increasing complexity, starting with free fatty acids and ending with cardiolipins and phosphoinositides.
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26
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Mielczarek P, Suder P, Kotsan I, Bodzon-Kulakowska A. The influence of matrix concentration and solvent composition on the results of MALDI MSI, with the aid of wet-interface matrix deposition. JOURNAL OF MASS SPECTROMETRY : JMS 2023; 58:e4916. [PMID: 36959759 DOI: 10.1002/jms.4916] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2022] [Revised: 02/07/2023] [Accepted: 02/20/2023] [Indexed: 06/18/2023]
Abstract
Imaging mass spectrometry is a powerful technique for the molecular analysis of tissue sections. As in many analytical methods, sample preparation is one of the main and most important steps to obtain results of good quality. Usually, the matrix concentration and solvent composition in different studies are taken for granted without any further consideration. In our studies, we aimed to find how matrix concentration and a type of solvent influence the signal. Moreover, we also aimed to find the relationship between these parameters, how they influence the spectra, and how they influence obtained ion maps. In our experiments, we used SunCollect®, which is a commercially available wet-interface system for matrix deposition. We decided to choose two matrix concentrations (2,5-dihydroxybenzoic acid [DHB]: 15 and 25 mg/mL; 9-aminoacridine [9AA]: 7 and 5 mg/mL) and two different water solutions of solvents in two different percentages for the matrices (DHB: 50% and 70% of methanol [MeOH] and acetonitrile [ACN]; 9AA 70% and 50% of ethanol [EtOH] and MeOH). In the end, the influence of these parameters on obtained spectra and ion maps was assessed.
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Affiliation(s)
- Przemyslaw Mielczarek
- Laboratory of Proteomics and Mass Spectrometry, Maj Institute of Pharmacology, Polish Academy of Sciences, Smetna 12 St., 31-343, Krakow, Poland
| | - Piotr Suder
- Department of Analytical Chemistry and Biochemistry, Faculty of Materials Science and Ceramics, AGH University of Science and Technology, A. Mickiewicza 30 Ave., 30-059, Krakow, Poland
| | - Igor Kotsan
- Department of Analytical Chemistry and Biochemistry, Faculty of Materials Science and Ceramics, AGH University of Science and Technology, A. Mickiewicza 30 Ave., 30-059, Krakow, Poland
| | - Anna Bodzon-Kulakowska
- Department of Analytical Chemistry and Biochemistry, Faculty of Materials Science and Ceramics, AGH University of Science and Technology, A. Mickiewicza 30 Ave., 30-059, Krakow, Poland
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27
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Wang X, Zhang L, Xiang Y, Ye N, Liu K. Systematic study of tissue section thickness for MALDI MS profiling and imaging. Analyst 2023; 148:888-897. [PMID: 36661109 DOI: 10.1039/d2an01739c] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/12/2023]
Abstract
Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI MSI) has become a powerful method for studying the spatial distribution of molecules. Preparation of tissue sections is a critical step for obtaining high-quality imaging data. The thickness of the slice of tissue affects the feature quality of MALDI MSI. However, few studies involved in-depth and systematic examination of slice thickness. Herein, we investigate the effect of tissue slice thickness on MALDI MSI detection. We found that the thicker the slice, the worse the results obtained by MALDI MS, which we attributed to the charging effect. The optimal slice thickness of brain tissue obtained in this work is 2-6 μm. Comparisons of the effects of slice thickness on atmospheric pressure and vacuum MALDI assays indicated that the ion signals and imaging quality of vacuum MALDI were more seriously affected by the thickness, with atmospheric pressure (AP) MALDI having a greater tolerance for slice thickness than vacuum MALDI. The MALDI MSI of peptides after enzymatic digestion of tissue sections of different thicknesses was also studied, revealing that the most suitable tissue thickness for enzyme digestion is about 10 μm. Finally, we optimized the slice thicknesses of six tissues in mice to provide a reference for MALDI MSI studies. It is worth mentioning that in our study the values of slice thickness range from the nanometer level (400 nm) at the minimum to 150 μm at the maximum, values which were unprecedented. Detailed in-depth and systematic studies of slice thickness will promote the development of sample preparation technology of AP and vacuum MALDI MSI, which will provide important references for the selection of tissue section thickness.
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Affiliation(s)
- Xiaofei Wang
- Department of Chemistry, Capital Normal University, Beijing 100048, China.
| | - Lu Zhang
- Department of Chemistry, Capital Normal University, Beijing 100048, China.
| | - Yuhong Xiang
- Department of Chemistry, Capital Normal University, Beijing 100048, China.
| | - Nengsheng Ye
- Department of Chemistry, Capital Normal University, Beijing 100048, China.
| | - Kehui Liu
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China. .,Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, 100101 Beijing, China.,University of Chinese Academy of Sciences, Beijing 100049, China
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28
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Development of a Laser Microdissection-Coupled Quantitative Shotgun Lipidomic Method to Uncover Spatial Heterogeneity. Cells 2023; 12:cells12030428. [PMID: 36766770 PMCID: PMC9913738 DOI: 10.3390/cells12030428] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 01/21/2023] [Accepted: 01/24/2023] [Indexed: 01/31/2023] Open
Abstract
Lipid metabolic disturbances are associated with several diseases, such as type 2 diabetes or malignancy. In the last two decades, high-performance mass spectrometry-based lipidomics has emerged as a valuable tool in various fields of biology. However, the evaluation of macroscopic tissue homogenates leaves often undiscovered the differences arising from micron-scale heterogeneity. Therefore, in this work, we developed a novel laser microdissection-coupled shotgun lipidomic platform, which combines quantitative and broad-range lipidome analysis with reasonable spatial resolution. The multistep approach involves the preparation of successive cryosections from tissue samples, cross-referencing of native and stained images, laser microdissection of regions of interest, in situ lipid extraction, and quantitative shotgun lipidomics. We used mouse liver and kidney as well as a 2D cell culture model to validate the novel workflow in terms of extraction efficiency, reproducibility, and linearity of quantification. We established that the limit of dissectible sample area corresponds to about ten cells while maintaining good lipidome coverage. We demonstrate the performance of the method in recognizing tissue heterogeneity on the example of a mouse hippocampus. By providing topological mapping of lipid metabolism, the novel platform might help to uncover region-specific lipidomic alterations in complex samples, including tumors.
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29
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Bhattacharya N, Nagornov K, Verheggen K, Verhaert M, Sciot R, Verhaert P. MS1-Based Data Analysis Approaches for FFPE Tissue Imaging of Endogenous Peptide Ions by Mass Spectrometry Histochemistry (MSHC). Methods Mol Biol 2023; 2688:187-202. [PMID: 37410294 DOI: 10.1007/978-1-0716-3319-9_16] [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] [Indexed: 07/07/2023]
Abstract
Ambiguous reports in the literature exist regarding the use and usefulness of formalin-fixed paraffin-embedded (FFPE) tissues in mass spectrometry imaging (MSI). Especially for the study of endogenous (non-tryptic) peptides, several studies have concluded that MSI on archived FFPE tissue bank samples is virtually impossible. We here illustrate that by employing a variant of MSI, called mass spectrometry histochemistry (MSHC), biomolecular tissue localization data are obtained that unequivocally comprise endogenous peptides. We here discuss different informatics steps in a data analysis workflow to help filter peptide-related features out of large and complex datasets generated by atmospheric pressure matrix-assisted laser desorption/ionization high-resolution (Orbitrap mass analyzer) MSHC. These include, in addition to accurate mass measurements, Kendrick mass defect filtering and isotopic distribution scrutiny.
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Affiliation(s)
| | | | | | - Marthe Verhaert
- ProteoFormiX, Beerse, Belgium
- Department of Medical Oncology at Institute Jules Bordet, Brussels, Belgium
| | - Raf Sciot
- Department of Pathology, University Hospital Leuven, Leuven, Belgium
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30
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Feucherolles M, Frache G. MALDI Mass Spectrometry Imaging: A Potential Game-Changer in a Modern Microbiology. Cells 2022; 11:cells11233900. [PMID: 36497158 PMCID: PMC9738593 DOI: 10.3390/cells11233900] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 11/24/2022] [Accepted: 11/28/2022] [Indexed: 12/11/2022] Open
Abstract
Nowadays, matrix-assisted laser desorption/ionization time of flight mass spectrometry (MALDI-TOF MS) is routinely implemented as the reference method for the swift and straightforward identification of microorganisms. However, this method is not flawless and there is a need to upgrade the current methodology in order to free the routine lab from incubation time and shift from a culture-dependent to an even faster independent culture system. Over the last two decades, mass spectrometry imaging (MSI) gained tremendous popularity in life sciences, including microbiology, due to its ability to simultaneously detect biomolecules, as well as their spatial distribution, in complex samples. Through this literature review, we summarize the latest applications of MALDI-MSI in microbiology. In addition, we discuss the challenges and avenues of exploration for applying MSI to solve current MALDI-TOF MS limits in routine and research laboratories.
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31
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Liu H, Pan Y, Xiong C, Han J, Wang X, Chen J, Nie Z. Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI MSI) for in situ analysis of endogenous small molecules in biological samples. Trends Analyt Chem 2022. [DOI: 10.1016/j.trac.2022.116809] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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32
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Hou Y, Gao Y, Guo S, Zhang Z, Chen R, Zhang X. Applications of spatially resolved omics in the field of endocrine tumors. Front Endocrinol (Lausanne) 2022; 13:993081. [PMID: 36704039 PMCID: PMC9873308 DOI: 10.3389/fendo.2022.993081] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2022] [Accepted: 12/15/2022] [Indexed: 01/11/2023] Open
Abstract
Endocrine tumors derive from endocrine cells with high heterogeneity in function, structure and embryology, and are characteristic of a marked diversity and tissue heterogeneity. There are still challenges in analyzing the molecular alternations within the heterogeneous microenvironment for endocrine tumors. Recently, several proteomic, lipidomic and metabolomic platforms have been applied to the analysis of endocrine tumors to explore the cellular and molecular mechanisms of tumor genesis, progression and metastasis. In this review, we provide a comprehensive overview of spatially resolved proteomics, lipidomics and metabolomics guided by mass spectrometry imaging and spatially resolved microproteomics directed by microextraction and tandem mass spectrometry. In this regard, we will discuss different mass spectrometry imaging techniques, including secondary ion mass spectrometry, matrix-assisted laser desorption/ionization and desorption electrospray ionization. Additionally, we will highlight microextraction approaches such as laser capture microdissection and liquid microjunction extraction. With these methods, proteins can be extracted precisely from specific regions of the endocrine tumor. Finally, we compare applications of proteomic, lipidomic and metabolomic platforms in the field of endocrine tumors and outline their potentials in elucidating cellular and molecular processes involved in endocrine tumors.
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Affiliation(s)
- Yinuo Hou
- School of Pharmaceutical Science and Technology, Tianjin University, Tianjin, China
| | - Yan Gao
- School of Pharmaceutical Science and Technology, Tianjin University, Tianjin, China
| | - Shudi Guo
- School of Pharmaceutical Science and Technology, Tianjin University, Tianjin, China
| | - Zhibin Zhang
- General Surgery, Tianjin First Center Hospital, Tianjin, China
- *Correspondence: Zhibin Zhang, ; Ruibing Chen, ; Xiangyang Zhang,
| | - Ruibing Chen
- School of Pharmaceutical Science and Technology, Tianjin University, Tianjin, China
- *Correspondence: Zhibin Zhang, ; Ruibing Chen, ; Xiangyang Zhang,
| | - Xiangyang Zhang
- School of Pharmaceutical Science and Technology, Tianjin University, Tianjin, China
- *Correspondence: Zhibin Zhang, ; Ruibing Chen, ; Xiangyang Zhang,
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