1
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Ma X, Fernández FM. Advances in mass spectrometry imaging for spatial cancer metabolomics. MASS SPECTROMETRY REVIEWS 2024; 43:235-268. [PMID: 36065601 PMCID: PMC9986357 DOI: 10.1002/mas.21804] [Citation(s) in RCA: 29] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 08/02/2022] [Accepted: 08/02/2022] [Indexed: 05/09/2023]
Abstract
Mass spectrometry (MS) has become a central technique in cancer research. The ability to analyze various types of biomolecules in complex biological matrices makes it well suited for understanding biochemical alterations associated with disease progression. Different biological samples, including serum, urine, saliva, and tissues have been successfully analyzed using mass spectrometry. In particular, spatial metabolomics using MS imaging (MSI) allows the direct visualization of metabolite distributions in tissues, thus enabling in-depth understanding of cancer-associated biochemical changes within specific structures. In recent years, MSI studies have been increasingly used to uncover metabolic reprogramming associated with cancer development, enabling the discovery of key biomarkers with potential for cancer diagnostics. In this review, we aim to cover the basic principles of MSI experiments for the nonspecialists, including fundamentals, the sample preparation process, the evolution of the mass spectrometry techniques used, and data analysis strategies. We also review MSI advances associated with cancer research in the last 5 years, including spatial lipidomics and glycomics, the adoption of three-dimensional and multimodal imaging MSI approaches, and the implementation of artificial intelligence/machine learning in MSI-based cancer studies. The adoption of MSI in clinical research and for single-cell metabolomics is also discussed. Spatially resolved studies on other small molecule metabolites such as amino acids, polyamines, and nucleotides/nucleosides will not be discussed in the context.
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Affiliation(s)
- Xin Ma
- School of Chemistry and Biochemistry and Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia, USA
| | - Facundo M Fernández
- School of Chemistry and Biochemistry and Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia, USA
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2
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Shanmugaraj N, Rutten T, Svatoš A, Schnurbusch T, Mock HP. Fast and Reproducible Matrix Deposition for MALDI Mass Spectrometry Imaging with Improved Glass Sublimation Setup. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2023; 34:513-517. [PMID: 36735868 DOI: 10.1021/jasms.2c00301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Sublimation is one of the preferred methods of choice for matrix deposition in high spatial resolution MALDI mass spectrometry imaging (MALDI-MSI) experiments. However, reproducibility and time are the major concerns for this setup. Here we present a lab-made glass sublimator with significant improvements in fine control of the vacuum with real-time monitoring and a rapid sublimation process of only 22 min. This method yielded reproducible homogeneous matrix crystals of <1 μm on the sample surface. MALDI-MSI was performed in tissue sections of barley inflorescence meristems at 15 μm spatial resolution, thus demonstrating its efficiency. Overall, we believe these simple yet effective new modifications can be easily adapted to the standard glass sublimation devices to achieve highly reproducible matrix deposition for high spatial resolution MALDI-MSI.
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Affiliation(s)
- Nandhakumar Shanmugaraj
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstraße 3, OT Gatersleben, 06466, Seeland, Germany
| | - Twan Rutten
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstraße 3, OT Gatersleben, 06466, Seeland, Germany
| | - Aleš Svatoš
- Max Planck Institute for Chemical Ecology, Hans-Knöll-Straße 8, 07745, Jena, Germany
| | - Thorsten Schnurbusch
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstraße 3, OT Gatersleben, 06466, Seeland, Germany
- Institute of Agricultural and Nutritional Sciences, Faculty of Natural Sciences III, Martin Luther University Halle-Wittenberg, Universitätsplatz 10, 06108 Halle (Saale), Germany
| | - Hans-Peter Mock
- Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstraße 3, OT Gatersleben, 06466, Seeland, Germany
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3
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Harvey DJ. Analysis of carbohydrates and glycoconjugates by matrix-assisted laser desorption/ionization mass spectrometry: An update for 2019-2020. MASS SPECTROMETRY REVIEWS 2022:e21806. [PMID: 36468275 DOI: 10.1002/mas.21806] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/17/2023]
Abstract
This review is the tenth update of the original article published in 1999 on the application of matrix-assisted laser desorption/ionization (MALDI) mass spectrometry to the analysis of carbohydrates and glycoconjugates and brings coverage of the literature to the end of 2020. Also included are papers that describe methods appropriate to analysis by MALDI, such as sample preparation techniques, even though the ionization method is not MALDI. The review is basically divided into three sections: (1) general aspects such as theory of the MALDI process, matrices, derivatization, MALDI imaging, fragmentation, quantification and the use of arrays. (2) Applications to various structural types such as oligo- and polysaccharides, glycoproteins, glycolipids, glycosides and biopharmaceuticals, and (3) other areas such as medicine, industrial processes and glycan synthesis where MALDI is extensively used. Much of the material relating to applications is presented in tabular form. The reported work shows increasing use of incorporation of new techniques such as ion mobility and the enormous impact that MALDI imaging is having. MALDI, although invented nearly 40 years ago is still an ideal technique for carbohydrate analysis and advancements in the technique and range of applications show little sign of diminishing.
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Affiliation(s)
- David J Harvey
- Nuffield Department of Medicine, Target Discovery Institute, University of Oxford, Oxford, UK
- Department of Chemistry, University of Oxford, Oxford, Oxfordshire, United Kingdom
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4
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Nascentes Melo LM, Lesner NP, Sabatier M, Ubellacker JM, Tasdogan A. Emerging metabolomic tools to study cancer metastasis. Trends Cancer 2022; 8:988-1001. [PMID: 35909026 DOI: 10.1016/j.trecan.2022.07.003] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Revised: 06/24/2022] [Accepted: 07/06/2022] [Indexed: 12/24/2022]
Abstract
Metastasis is responsible for 90% of deaths in patients with cancer. Understanding the role of metabolism during metastasis has been limited by the development of robust and sensitive technologies that capture metabolic processes in metastasizing cancer cells. We discuss the current technologies available to study (i) metabolism in primary and metastatic cancer cells and (ii) metabolic interactions between cancer cells and the tumor microenvironment (TME) at different stages of the metastatic cascade. We identify advantages and disadvantages of each method and discuss how these tools and technologies will further improve our understanding of metastasis. Studies investigating the complex metabolic rewiring of different cells using state-of-the-art metabolomic technologies have the potential to reveal novel biological processes and therapeutic interventions for human cancers.
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Affiliation(s)
| | - Nicholas P Lesner
- Abramson Family Cancer Research Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - Marie Sabatier
- Department of Molecular Metabolism, Harvard T.H. Chan School of Public Health, Boston, MA, USA
| | - Jessalyn M Ubellacker
- Department of Molecular Metabolism, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
| | - Alpaslan Tasdogan
- Department of Dermatology, University Hospital Essen and German Cancer Consortium, Partner Site, Essen, Germany.
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5
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Wu Q. A review on quantitation-related factors and quantitation strategies in mass spectrometry imaging of small biomolecules. ANALYTICAL METHODS : ADVANCING METHODS AND APPLICATIONS 2022; 14:3932-3943. [PMID: 36164961 DOI: 10.1039/d2ay01257j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Accurate quantitative information of the analytes in mass spectrometry imaging (MSI) is fundamental for determining the accurate spatial distribution, which can provide additional insight into the living processes, disease progression or the pharmacokinetic-pharmacodynamic mechanisms. However, performing a quantitative analysis in MSI is still challenging. This review focuses on the quantitation-related factors and recent advances in the strategies of quantitative MSI (q-MSI) of small molecules. The main quantitation-related factors are discussed according to the new investigations in recent years, including the regionally varied extraction efficiencies and ionization efficiencies, signal-concentration regression functions, and the repeatability of surface sampling/ionization methods. Newly developed quantitation strategies in MSI based on aforementioned factors are introduced, including new techniques in standard curve calibration with normalization to an internal standard, kinetic calibration, and chemometric methods. Different strategies for validating q-MSI methods are discussed. Finally, the future perspectives to q-MSI are proposed.
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Affiliation(s)
- Qian Wu
- College of Chemistry and Chemical Engineering, Central South University, Changsha, Hunan, 410083, P. R. China.
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6
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Prasad M, Postma G, Franceschi P, Buydens LMC, Jansen JJ. Evaluation and comparison of unsupervised methods for the extraction of spatial patterns from mass spectrometry imaging data (MSI). Sci Rep 2022; 12:15687. [PMID: 36127378 PMCID: PMC9489880 DOI: 10.1038/s41598-022-19365-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 08/29/2022] [Indexed: 11/18/2022] Open
Abstract
For the extraction of spatially important regions from mass spectrometry imaging (MSI) data, different clustering methods have been proposed. These clustering methods are based on certain assumptions and use different criteria to assign pixels into different classes. For high-dimensional MSI data, the curse of dimensionality also limits the performance of clustering methods which are usually overcome by pre-processing the data using dimension reduction techniques. In summary, the extraction of spatial patterns from MSI data can be done using different unsupervised methods, but the robust evaluation of clustering results is what is still missing. In this study, we have performed multiple simulations on synthetic and real MSI data to validate the performance of unsupervised methods. The synthetic data were simulated mimicking important spatial and statistical properties of real MSI data. Our simulation results confirmed that K-means clustering with correlation distance and Gaussian Mixture Modeling clustering methods give optimal performance in most of the scenarios. The clustering methods give efficient results together with dimension reduction techniques. From all the dimension techniques considered here, the best results were obtained with the minimum noise fraction (MNF) transform. The results were confirmed on both synthetic and real MSI data. However, for successful implementation of MNF transform the MSI data requires to be of limited dimensions.
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Affiliation(s)
- Mridula Prasad
- IMM/Analytical Chemistry, Radboud University, Heyendaalseweg, 6525 AJ, Nijmegen, The Netherlands.,Unit of Computational Biology, Research and Innovation Center, Fondazione Edmund Mach, 38010, San Michele all' Adige, Italy
| | - Geert Postma
- IMM/Analytical Chemistry, Radboud University, Heyendaalseweg, 6525 AJ, Nijmegen, The Netherlands.
| | - Pietro Franceschi
- Unit of Computational Biology, Research and Innovation Center, Fondazione Edmund Mach, 38010, San Michele all' Adige, Italy
| | - Lutgarde M C Buydens
- IMM/Analytical Chemistry, Radboud University, Heyendaalseweg, 6525 AJ, Nijmegen, The Netherlands
| | - Jeroen J Jansen
- IMM/Analytical Chemistry, Radboud University, Heyendaalseweg, 6525 AJ, Nijmegen, The Netherlands
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7
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Nwabufo CK, Aigbogun OP. The Role of Mass Spectrometry Imaging in Pharmacokinetic Studies. Xenobiotica 2022; 52:811-827. [PMID: 36048000 DOI: 10.1080/00498254.2022.2119900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
Abstract
Although liquid chromatography-tandem mass spectrometry is the gold standard analytical platform for the quantification of drugs, metabolites, and biomarkers in biological samples, it cannot localize them in target tissues.The localization and quantification of drugs and/or their associated metabolites in target tissues is a more direct measure of bioavailability, biodistribution, efficacy, and regional toxicity compared to the traditional substitute studies using plasma.Therefore, combining high spatial resolution imaging functionality with the superior selectivity and sensitivity of mass spectrometry into one analytical technique will be a valuable tool for targeted localization and quantification of drugs, metabolites, and biomarkers.Mass spectrometry imaging (MSI) is a tagless analytical technique that allows for the direct localization and quantification of drugs, metabolites, and biomarkers in biological tissues, and has been used extensively in pharmaceutical research.The overall goal of this current review is to provide a detailed description of the working principle of MSI and its application in pharmacokinetic studies encompassing absorption, distribution, metabolism, excretion, and toxicity processes, followed by a discussion of the strategies for addressing the challenges associated with the functional utility of MSI in pharmacokinetic studies that support drug development.
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Affiliation(s)
- Chukwunonso K Nwabufo
- Department of Pharmaceutical Sciences, Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON, Canada
| | - Omozojie P Aigbogun
- Drug Discovery and Development Research Group, College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, Canada.,Department of Chemistry, University of Saskatchewan, Saskatoon, Canada
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8
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Spruill ML, Maletic-Savatic M, Martin H, Li F, Liu X. Spatial analysis of drug absorption, distribution, metabolism, and toxicology using mass spectrometry imaging. Biochem Pharmacol 2022; 201:115080. [PMID: 35561842 PMCID: PMC9744413 DOI: 10.1016/j.bcp.2022.115080] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 05/03/2022] [Accepted: 05/04/2022] [Indexed: 12/14/2022]
Abstract
Mass spectrometry imaging (MSI) is emerging as a powerful analytical tool for detection, quantification, and simultaneous spatial molecular imaging of endogenous and exogenous molecules via in situ mass spectrometry analysis of thin tissue sections without the requirement of chemical labeling. The MSI generates chemically specific and spatially resolved ion distribution information for administered drugs and metabolites, which allows numerous applications for studies involving various stages of drug absorption, distribution, metabolism, excretion, and toxicity (ADMET). MSI-based pharmacokinetic imaging analysis provides a histological context and cellular environment regarding dynamic drug distribution and metabolism processes, and facilitates the understanding of the spatial pharmacokinetics and pharmacodynamic properties of drugs. Herein, we discuss the MSI's current technological developments that offer qualitative, quantitative, and spatial location information of small molecule drugs, antibody, and oligonucleotides macromolecule drugs, and their metabolites in preclinical and clinical tissue specimens. We highlight the macro and micro drug-distribution in the whole-body, brain, lung, liver, kidney, stomach, intestine tissue sections, organoids, and the latest applications of MSI in pharmaceutical ADMET studies.
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Affiliation(s)
- Michelle L Spruill
- Department of Pharmacological and Pharmaceutical Sciences, College of Pharmacy, University of Houston, Houston, TX 77204, USA
| | - Mirjana Maletic-Savatic
- Department of Pediatrics, Baylor College of Medicine, Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX 77030, USA
| | | | - Feng Li
- Center for Drug Discovery and Department of Pathology & Immunology, Baylor College of Medicine, Houston, TX 77030, USA; NMR and Drug Metabolism Core, Advanced Technology Cores, Baylor College of Medicine, Houston, TX 77030, USA.
| | - Xinli Liu
- Department of Pharmacological and Pharmaceutical Sciences, College of Pharmacy, University of Houston, Houston, TX 77204, USA.
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9
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Tiquet M, La Rocca R, Kirnbauer S, Zoratto S, Van Kruining D, Quinton L, Eppe G, Martinez-Martinez P, Marchetti-Deschmann M, De Pauw E, Far J. FT-ICR Mass Spectrometry Imaging at Extreme Mass Resolving Power Using a Dynamically Harmonized ICR Cell with 1ω or 2ω Detection. Anal Chem 2022; 94:9316-9326. [PMID: 35604839 PMCID: PMC9260710 DOI: 10.1021/acs.analchem.2c00754] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
![]()
MALDI mass spectrometry
imaging (MALDI MSI) is a powerful analytical
method for achieving 2D localization of compounds from thin sections
of typically but not exclusively biological samples. The dynamically
harmonized ICR cell (ParaCell) was recently introduced to achieve
extreme spectral resolution capable of providing the isotopic fine
structure of ions detected in complex samples. The latest improvement
in the ICR technology also includes 2ω detection, which significantly
reduces the transient time while preserving the nominal mass resolving
power of the ICR cell. High-resolution MS images acquired on FT-ICR
instruments equipped with 7T and 9.4T superconducting magnets and
the dynamically harmonized ICR cell operating at suboptimal parameters
suffered severely from the pixel-to-pixel shifting of m/z peaks due to space-charge effects. The resulting
profile average mass spectra have depreciated mass measurement accuracy
and mass resolving power under the instrument specifications that
affect the confidence level of the identified ions. Here, we propose
an analytical workflow based on the monitoring of the total ion current
to restrain the pixel-to-pixel m/z shift. Adjustment of the laser parameters is proposed to maintain
high spectral resolution and mass accuracy measurement within the
instrument specifications during MSI analyses. The optimized method
has been successfully employed in replicates to perform high-quality
MALDI MS images at resolving power (FWHM) above 1,000,000 in the lipid
mass range across the whole image for superconducting magnets of 7T
and 9.4T using 1 and 2ω detection. Our data also compare favorably
with MALDI MSI experiments performed on higher-magnetic-field superconducting
magnets, including the 21T MALDI FT-ICR prototype instrument of the
NHMFL group at Tallahassee, Florida.
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Affiliation(s)
- Mathieu Tiquet
- Mass Spectrometry Laboratory, MolSys Research Unit, University of Liège, Allée de la Chimie 6-Quartier Agora, 4000 Liège, Belgium
| | - Raphaël La Rocca
- Mass Spectrometry Laboratory, MolSys Research Unit, University of Liège, Allée de la Chimie 6-Quartier Agora, 4000 Liège, Belgium
| | - Stefan Kirnbauer
- Institute of Chemical Technologies and Analytics, TU Wien (Vienna University of Technology), Getreidemarkt 9/164, 1060 Vienna, Austria.,Austrian Cluster for Tissue Regeneration, TU Wien (Vienna University of Technology), Getreidemarkt 9/164, 1060 Vienna, Austria
| | - Samuele Zoratto
- Institute of Chemical Technologies and Analytics, TU Wien (Vienna University of Technology), Getreidemarkt 9/164, 1060 Vienna, Austria.,Austrian Cluster for Tissue Regeneration, TU Wien (Vienna University of Technology), Getreidemarkt 9/164, 1060 Vienna, Austria.,Christian Doppler Laboratory for Skin Multimodal Imaging of Aging and Senescence, TU Wien (Vienna University of Technology), Getreidemarkt 9/164, 1060 Vienna, Austria
| | - Daan Van Kruining
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Universiteitssingel 50, 6229ER Maastricht, the Netherlands
| | - Loïc Quinton
- Mass Spectrometry Laboratory, MolSys Research Unit, University of Liège, Allée de la Chimie 6-Quartier Agora, 4000 Liège, Belgium
| | - Gauthier Eppe
- Mass Spectrometry Laboratory, MolSys Research Unit, University of Liège, Allée de la Chimie 6-Quartier Agora, 4000 Liège, Belgium
| | - Pilar Martinez-Martinez
- Department of Psychiatry and Neuropsychology, School for Mental Health and Neuroscience, Maastricht University, Universiteitssingel 50, 6229ER Maastricht, the Netherlands
| | - Martina Marchetti-Deschmann
- Institute of Chemical Technologies and Analytics, TU Wien (Vienna University of Technology), Getreidemarkt 9/164, 1060 Vienna, Austria.,Austrian Cluster for Tissue Regeneration, TU Wien (Vienna University of Technology), Getreidemarkt 9/164, 1060 Vienna, Austria.,Christian Doppler Laboratory for Skin Multimodal Imaging of Aging and Senescence, TU Wien (Vienna University of Technology), Getreidemarkt 9/164, 1060 Vienna, Austria
| | - Edwin De Pauw
- Mass Spectrometry Laboratory, MolSys Research Unit, University of Liège, Allée de la Chimie 6-Quartier Agora, 4000 Liège, Belgium
| | - Johann Far
- Mass Spectrometry Laboratory, MolSys Research Unit, University of Liège, Allée de la Chimie 6-Quartier Agora, 4000 Liège, Belgium
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10
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DeLaney K, Phetsanthad A, Li L. ADVANCES IN HIGH-RESOLUTION MALDI MASS SPECTROMETRY FOR NEUROBIOLOGY. MASS SPECTROMETRY REVIEWS 2022; 41:194-214. [PMID: 33165982 PMCID: PMC8106695 DOI: 10.1002/mas.21661] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Accepted: 09/13/2020] [Indexed: 05/08/2023]
Abstract
Research in the field of neurobiology and neurochemistry has seen a rapid expansion in the last several years due to advances in technologies and instrumentation, facilitating the detection of biomolecules critical to the complex signaling of neurons. Part of this growth has been due to the development and implementation of high-resolution Fourier transform (FT) mass spectrometry (MS), as is offered by FT ion cyclotron resonance (FTICR) and Orbitrap mass analyzers, which improves the accuracy of measurements and helps resolve the complex biological mixtures often analyzed in the nervous system. The coupling of matrix-assisted laser desorption/ionization (MALDI) with high-resolution MS has drastically expanded the information that can be obtained with these complex samples. This review discusses notable technical developments in MALDI-FTICR and MALDI-Orbitrap platforms and their applications toward molecules in the nervous system, including sequence elucidation and profiling with de novo sequencing, analysis of post-translational modifications, in situ analysis, key advances in sample preparation and handling, quantitation, and imaging. Notable novel applications are also discussed to highlight key developments critical to advancing our understanding of neurobiology and providing insight into the exciting future of this field. © 2020 John Wiley & Sons Ltd. Mass Spec Rev.
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Affiliation(s)
- Kellen DeLaney
- Department of Chemistry, University of Wisconsin-Madison, 1101 University Avenue, Madison, WI 53706, USA
| | - Ashley Phetsanthad
- Department of Chemistry, University of Wisconsin-Madison, 1101 University Avenue, Madison, WI 53706, USA
| | - Lingjun Li
- Department of Chemistry, University of Wisconsin-Madison, 1101 University Avenue, Madison, WI 53706, USA
- School of Pharmacy, University of Wisconsin-Madison, 777 Highland Avenue, Madison, WI 53705, USA
- To whom correspondence should be addressed. , Phone: (608) 265-8491, Fax: (608) 262-5345., Mailing Address: 5125 Rennebohm Hall, 777 Highland Avenue, Madison, WI 53706
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11
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Jiang H, Zhang Y, Liu Z, Wang X, He J, Jin H. Advanced applications of mass spectrometry imaging technology in quality control and safety assessments of traditional Chinese medicines. JOURNAL OF ETHNOPHARMACOLOGY 2022; 284:114760. [PMID: 34678417 PMCID: PMC9715987 DOI: 10.1016/j.jep.2021.114760] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 10/05/2021] [Accepted: 10/18/2021] [Indexed: 05/13/2023]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE Traditional Chinese medicines (TCMs) have made great contributions to the prevention and treatment of human diseases in China, and especially in cases of COVID-19. However, due to quality problems, the lack of standards, and the diversity of dosage forms, adverse reactions to TCMs often occur. Moreover, the composition of TCMs makes them extremely challenging to extract and isolate, complicating studies of toxicity mechanisms. AIM OF THE REVIEW The aim of this paper is therefore to summarize the advanced applications of mass spectrometry imaging (MSI) technology in the quality control, safety evaluations, and determination of toxicity mechanisms of TCMs. MATERIALS AND METHODS Relevant studies from the literature have been collected from scientific databases, such as "PubMed", "Scifinder", "Elsevier", "Google Scholar" using the keywords "MSI", "traditional Chinese medicines", "quality control", "metabolomics", and "mechanism". RESULTS MSI is a new analytical imaging technology that can detect and image the metabolic changes of multiple components of TCMs in plants and animals in a high throughput manner. Compared to other chemical analysis methods, such as liquid chromatography-mass spectrometry (LC-MS), this method does not require the complex extraction and separation of TCMs, and is fast, has high sensitivity, is label-free, and can be performed in high-throughput. Combined with chemometrics methods, MSI can be quickly and easily used for quality screening of TCMs. In addition, this technology can be used to further focus on potential biomarkers and explore the therapeutic/toxic mechanisms of TCMs. CONCLUSIONS As a new type of analysis method, MSI has unique advantages to metabolic analysis, quality control, and mechanisms of action explorations of TCMs, and contributes to the establishment of quality standards to explore the safety and toxicology of TCMs.
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Affiliation(s)
- Haiyan Jiang
- New Drug Safety Evaluation Center, Institute of Materia Medica, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, China
| | - Yaxin Zhang
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, China
| | - Zhigang Liu
- School of Biological Science and Engineering, South China University of Technology, Guangzhou, 510006, China
| | - Xiangyi Wang
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, China
| | - Jiuming He
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, China; NMPA Key Laboratory for Safety Research and Evaluation of Innovative Drug, Beijing 100050, China.
| | - Hongtao Jin
- New Drug Safety Evaluation Center, Institute of Materia Medica, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, China; Beijing Union-Genius Pharmaceutical Technology Development Co., Ltd., Beijing 100176, China; NMPA Key Laboratory for Safety Research and Evaluation of Innovative Drug, Beijing 100050, China.
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12
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Li H, Wu R, Hu Q, Chen X, Dominic Chan TW. A Matrix Sublimation Device with an Integrated Solvent Nebulizer for MALDI-MSI. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2022; 33:11-16. [PMID: 34939792 DOI: 10.1021/jasms.1c00335] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
The current matrix deposition methods in MALDI-mass spectrometry imaging (MALDI-MSI) face technical problems related to the inhomogeneous distribution of crystals and the low analyte extraction and cocrystallization efficiency. In this work, an integrated matrix sublimation device with synchronous solvent nebulization was developed for MALDI-MSI. Droplets of solvents were directly introduced into the chamber of the sublimator by using a miniaturized ultrasonic nebulizer unit. The synchronous and asynchronous working modes of solvent nebulization and matrix sublimation were systematically investigated. Imaging of both protein and small metabolite distributions in mouse brain tissue sections was successfully performed using the developed matrix deposition device. The sensitivity and quality of the images were clearly improved in synchronous mode compared with those of the conventional spray and sublimation methods. These results demonstrate that the integrated device with both solvent nebulization and matrix sublimation is a useful tool in MALDI-MSI applications.
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Affiliation(s)
- Huizhi Li
- Key Laboratory for Applied Technology of Sophisticated Analytical Instruments of Shandong Province, Shandong Analysis and Test Centre, Qilu University of Technology (Shandong Academy of Sciences), 19th Keyuan Road, Jinan, Shandong 250014, P.R. China
| | - Ri Wu
- Department of Chemistry, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, P.R. China
| | - Qiongzheng Hu
- Key Laboratory for Applied Technology of Sophisticated Analytical Instruments of Shandong Province, Shandong Analysis and Test Centre, Qilu University of Technology (Shandong Academy of Sciences), 19th Keyuan Road, Jinan, Shandong 250014, P.R. China
| | - Xiangfeng Chen
- Key Laboratory for Applied Technology of Sophisticated Analytical Instruments of Shandong Province, Shandong Analysis and Test Centre, Qilu University of Technology (Shandong Academy of Sciences), 19th Keyuan Road, Jinan, Shandong 250014, P.R. China
| | - T-W Dominic Chan
- Department of Chemistry, The Chinese University of Hong Kong, Shatin, N.T., Hong Kong SAR, P.R. China
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13
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Abstract
Mass spectrometry imaging (MSI) could provide chemical spatial distribution within a diverse range of samples, but absolute quantitation with those techniques is still challenging. Recent years, ambient liquid extraction-based MSI techniques, such as liquid microjunction surface sampling (LMJSS), have been largely developed and were found to be favorable to quantitation by directly doping standards in the extraction solvent. Here, we describe the detailed experimental protocols and the data processing methods for quantitative MSI with LMJSS. The new methods could have absolute quantitative MSI of both endogenous lipids and small metabolites from tissue samples.
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Affiliation(s)
- Qian Wu
- College of Chemistry and Chemical Engineering, Central South University, Changsha, Hunan, P. R. China
| | - Hongmei Lu
- College of Chemistry and Chemical Engineering, Central South University, Changsha, Hunan, P. R. China.
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Spatial-resolved metabolomics reveals tissue-specific metabolic reprogramming in diabetic nephropathy by using mass spectrometry imaging. Acta Pharm Sin B 2021; 11:3665-3677. [PMID: 34900545 PMCID: PMC8642449 DOI: 10.1016/j.apsb.2021.05.013] [Citation(s) in RCA: 47] [Impact Index Per Article: 15.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/26/2021] [Revised: 04/26/2021] [Accepted: 05/05/2021] [Indexed: 12/22/2022] Open
Abstract
Detailed knowledge on tissue-specific metabolic reprogramming in diabetic nephropathy (DN) is vital for more accurate understanding the molecular pathological signature and developing novel therapeutic strategies. In the present study, a spatial-resolved metabolomics approach based on air flow-assisted desorption electrospray ionization (AFADESI) and matrix-assisted laser desorption ionization (MALDI) integrated mass spectrometry imaging (MSI) was proposed to investigate tissue-specific metabolic alterations in the kidneys of high-fat diet-fed and streptozotocin (STZ)-treated DN rats and the therapeutic effect of astragaloside IV, a potential anti-diabetic drug, against DN. As a result, a wide range of functional metabolites including sugars, amino acids, nucleotides and their derivatives, fatty acids, phospholipids, sphingolipids, glycerides, carnitine and its derivatives, vitamins, peptides, and metal ions associated with DN were identified and their unique distribution patterns in the rat kidney were visualized with high chemical specificity and high spatial resolution. These region-specific metabolic disturbances were ameliorated by repeated oral administration of astragaloside IV (100 mg/kg) for 12 weeks. This study provided more comprehensive and detailed information about the tissue-specific metabolic reprogramming and molecular pathological signature in the kidney of diabetic rats. These findings highlighted the promising potential of AFADESI and MALDI integrated MSI based metabolomics approach for application in metabolic kidney diseases.
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Key Words
- ADP, adenosine diphosphate
- AFADESI, air flow-assisted desorption electrospray ionization
- AGEs, advanced glycation end products
- AMP, adenosine monophosphate
- AMPK, adenosine monophosphate activated protein kinase
- AST, astragaloside IV
- ATP, adenosine triphosphate
- Astragaloside IV
- BUN, blood urea nitrogen
- CL, cardiolipin
- Cre, creatinine
- DAG, diacylglycerol
- DESI, desorption electrospray ionization
- DM, diabetes mellitus
- DN, diabetic nephropathy
- DPA, docosapentaenoic acid
- Diabetic nephropathy
- ESKD, end-stage kidney disease
- FBG, fasting blood glucose
- GLU, glucose
- GMP, guanosine monophosphate
- GSH, glutathione
- H&E, hematoxylin and eosin
- HPLC, high-performance liquid chromatography
- HbA1c, glycosylated hemoglobin
- LysoPC, lysophosphatidylcholine
- LysoPG, lysophosphatidylglycerol
- MALDI, matrix-assisted laser desorption ionization
- MS, mass spectrometry
- MSI, mass spectrometry imaging
- Mass spectrometry imaging
- Metabolic reprogramming
- NMR, nuclear magnetic resonance
- Na-CMC, sodium carboxymethyl cellulose
- PA, phosphatidic acid
- PC, phosphatidylcholine
- PE, phosphatidylethanolamine
- PG, phosphatidylglycerol
- PPP, pentose phosphate pathway
- PS, phosphatidylserine
- PUFA, polyunsaturated fatty acids
- ROI, regions of interest
- ROS, reactive oxygen species
- SDH, succinate dehydrogenase
- SGLTs, sodium-glucose cotransporters
- SM, sphingomyelin
- STZ, streptozotocin
- Spatial-resolved metabolomics
- TCA, tricarboxylic acid
- TCHO, total cholesterol
- TG, triglyceride
- UMP, uridine monophosphate
- VIP, variable importance in projection
- p-AMPK, phosphorylated adenosine monophosphate activated protein kinase
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15
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Innovation in drug toxicology: Application of mass spectrometry imaging technology. Toxicology 2021; 464:153000. [PMID: 34695509 DOI: 10.1016/j.tox.2021.153000] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 09/21/2021] [Accepted: 10/18/2021] [Indexed: 01/19/2023]
Abstract
Mass spectrometry imaging (MSI) is a powerful molecular imaging technology that can obtain qualitative, quantitative, and location information by simultaneously detecting and mapping endogenous or exogenous molecules in biological tissue slices without specific chemical labeling or complex sample pretreatment. This article reviews the progress made in MSI and its application in drug toxicology research, including the tissue distribution of toxic drugs and their metabolites, the target organs (liver, kidney, lung, eye, and central nervous system) of toxic drugs, the discovery of toxicity-associated biomarkers, and explanations of the mechanisms of drug toxicity when MSI is combined with the cutting-edge omics methodologies. The unique advantages and broad prospects of this technology have been fully demonstrated to further promote its wider use in the field of pharmaceutical toxicology.
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Lee PY, Yeoh Y, Omar N, Pung YF, Lim LC, Low TY. Molecular tissue profiling by MALDI imaging: recent progress and applications in cancer research. Crit Rev Clin Lab Sci 2021; 58:513-529. [PMID: 34615421 DOI: 10.1080/10408363.2021.1942781] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
Matrix-assisted laser desorption/ionization (MALDI) imaging is an emergent technology that has been increasingly adopted in cancer research. MALDI imaging is capable of providing global molecular mapping of the abundance and spatial information of biomolecules directly in the tissues without labeling. It enables the characterization of a wide spectrum of analytes, including proteins, peptides, glycans, lipids, drugs, and metabolites and is well suited for both discovery and targeted analysis. An advantage of MALDI imaging is that it maintains tissue integrity, which allows correlation with histological features. It has proven to be a valuable tool for probing tumor heterogeneity and has been increasingly applied to interrogate molecular events associated with cancer. It provides unique insights into both the molecular content and spatial details that are not accessible by other techniques, and it has allowed considerable progress in the field of cancer research. In this review, we first provide an overview of the MALDI imaging workflow and approach. We then highlight some useful applications in various niches of cancer research, followed by a discussion of the challenges, recent developments and future prospect of this technique in the field.
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Affiliation(s)
- Pey Yee Lee
- UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Yeelon Yeoh
- UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Nursyazwani Omar
- UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
| | - Yuh-Fen Pung
- Division of Biomedical Science, University of Nottingham Malaysia, Selangor, Malaysia
| | - Lay Cheng Lim
- Department of Life Sciences, School of Pharmacy, International Medical University (IMU), Kuala Lumpur, Malaysia
| | - Teck Yew Low
- UKM Medical Molecular Biology Institute (UMBI), Universiti Kebangsaan Malaysia, Kuala Lumpur, Malaysia
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Kulkarni AS, Huang L, Qian K. Material-assisted mass spectrometric analysis of low molecular weight compounds for biomedical applications. J Mater Chem B 2021; 9:3622-3639. [PMID: 33871513 DOI: 10.1039/d1tb00289a] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Low molecular weight compounds play an important role in encoding the current physiological state of an individual. Laser desorption/ionization mass spectrometry (LDI MS) offers high sensitivity with low cost for molecular detection, but it is not able to cover small molecules due to the drawbacks of the conventional matrix. Advanced materials are better alternatives, showing little background interference and high LDI efficiency. Herein, we first classify the current materials with a summary of compositions and structures. Matrix preparation protocols are then reviewed, to enhance the selectivity and reproducibility of MS data better. Finally, we highlight the biomedical applications of material-assisted LDI MS, at the tissue, bio-fluid, and cellular levels. We foresee that the advanced materials will bring far-reaching implications in LDI MS towards real-case applications, especially in clinical settings.
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Affiliation(s)
- Anuja Shreeram Kulkarni
- State Key Laboratory for Oncogenes and Related Genes, Division of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, 160 Pujian Road, Shanghai, 200127, P. R. China and School of Biomedical Engineering, Institute of Medical Robotics and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China.
| | - Lin Huang
- Stem Cell Research Center, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, 160 Pujian Road, Shanghai, 200127, P. R. China.
| | - Kun Qian
- State Key Laboratory for Oncogenes and Related Genes, Division of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, 160 Pujian Road, Shanghai, 200127, P. R. China and School of Biomedical Engineering, Institute of Medical Robotics and Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China.
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18
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López-Cortés R, Gómez BB, Vázquez-Estévez S, Pérez-Fentes D, Núñez C. Blood-based protein biomarkers in bladder urothelial tumors. J Proteomics 2021; 247:104329. [PMID: 34298186 DOI: 10.1016/j.jprot.2021.104329] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2021] [Accepted: 07/15/2021] [Indexed: 12/16/2022]
Abstract
Bladder cancer (BC) is the fifth most common cancer with a high prevalence rate. It is classically classified in two groups, namely non-muscle invasive (NMIBC) and muscle invasive (MIBC). NMIBC accounts for 75% of cases and has a better prognosis than MIBC. However, 30-50% of the NMIBC patients will show recurrences throughout their lives, and about 10-20% of them will progress to MIBC, with frequent metastasis and a reduced survival rate. The diagnosis of bladder cancer is confirmed by direct visualization of the tumour and other mucosal abnormalities with endoscopic excision using cystoscopy and transurethral resection of the bladder (TURBT). An adequate TURBT requires complete resection of all visible tumour with appropriate sampling of the bladder to assess the depth of invasion. However, for many years, researchers have attempted to identify and utilise urinary markers for bladder cancer detection. Voided urine cytology has been the mainstay of urine-based diagnosis of bladder cancer since originally described by Papanicolau and Marshall. Nonetheless, urine cytology has several drawbacks, including a poor sensitivity for low-grade/stage tumours, a lack of interobserver consistency and a variable range of readings (e.g., atypical, atypical-suspicious, non-diagnostic). These shortcomings have inspired the search for more sensitive bladder cancer biomarkers. To bring precision medicine to genitourinary oncology, the analysis of the plasma/serum wide genome and proteome offers promising possibilities.
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Affiliation(s)
- Rubén López-Cortés
- Research Unit, Hospital Universitario Lucus Augusti (HULA), Servizo Galego de Saúde (SERGAS), ES27002 Lugo, Spain
| | - Benito Blanco Gómez
- Urology Division, Hospital Universitario Lucus Augusti (HULA), Servizo Galego de Saúde (SERGAS), ES27002, Lugo, Spain
| | - Sergio Vázquez-Estévez
- Oncology Division, Hospital Universitario Lucus Augusti (HULA), Servizo Galego de Saúde (SERGAS), ES27002 Lugo, Spain
| | - Daniel Pérez-Fentes
- Urology Division, Complejo Hospitalario Universitario de Santiago de Compostela (CHUS), Servizo Galego de Saúde (SERGAS), ES15706 Santiago de Compostela, Spain
| | - Cristina Núñez
- Research Unit, Hospital Universitario Lucus Augusti (HULA), Servizo Galego de Saúde (SERGAS), ES27002 Lugo, Spain.
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Taylor M, Lukowski JK, Anderton CR. Spatially Resolved Mass Spectrometry at the Single Cell: Recent Innovations in Proteomics and Metabolomics. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2021; 32:872-894. [PMID: 33656885 PMCID: PMC8033567 DOI: 10.1021/jasms.0c00439] [Citation(s) in RCA: 131] [Impact Index Per Article: 43.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2020] [Revised: 01/20/2021] [Accepted: 01/25/2021] [Indexed: 05/02/2023]
Abstract
Biological systems are composed of heterogeneous populations of cells that intercommunicate to form a functional living tissue. Biological function varies greatly across populations of cells, as each single cell has a unique transcriptome, proteome, and metabolome that translates to functional differences within single species and across kingdoms. Over the past decade, substantial advancements in our ability to characterize omic profiles on a single cell level have occurred, including in multiple spectroscopic and mass spectrometry (MS)-based techniques. Of these technologies, spatially resolved mass spectrometry approaches, including mass spectrometry imaging (MSI), have shown the most progress for single cell proteomics and metabolomics. For example, reporter-based methods using heavy metal tags have allowed for targeted MS investigation of the proteome at the subcellular level, and development of technologies such as laser ablation electrospray ionization mass spectrometry (LAESI-MS) now mean that dynamic metabolomics can be performed in situ. In this Perspective, we showcase advancements in single cell spatial metabolomics and proteomics over the past decade and highlight important aspects related to high-throughput screening, data analysis, and more which are vital to the success of achieving proteomic and metabolomic profiling at the single cell scale. Finally, using this broad literature summary, we provide a perspective on how the next decade may unfold in the area of single cell MS-based proteomics and metabolomics.
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Affiliation(s)
- Michael
J. Taylor
- Environmental Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
| | - Jessica K. Lukowski
- Environmental Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
| | - Christopher R. Anderton
- Environmental Molecular Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99352, United States
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20
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Tammekivi E, Ghiami-Shomami A, Tshepelevitsh S, Trummal A, Ilisson M, Selberg S, Vahur S, Teearu A, Lõkov M, Peets P, Pagano T, Leito I. Experimental and Computational Study of Aminoacridines as MALDI(-)-MS Matrix Materials for the Analysis of Complex Samples. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2021; 32:1080-1095. [PMID: 33726494 DOI: 10.1021/jasms.1c00037] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Monoaminoacridines (1-, 2-, 3-, 4-, and 9-aminoacridine) were studied for suitability as matrices in the negative ion mode matrix-assisted laser desorption/ionization mass spectrometry (MALDI(-)-MS) analysis of various samples. This is the first study to examine 1-, 2-, and 4-aminoacridine as potential matrix material candidates for MALDI(-)-MS. In addition, spectral (UV-Vis absorption and fluorescence), proton transfer-related (basicity and autoprotolysis), and crystallization properties of these compounds were characterized experimentally and/or computationally. For testing the capabilities of these aminoacridines as matrix materials, four samples related to cultural heritage materials-stearic acid, colophony resin, dyer's madder dye, and a resinous case-study sample from a shipwreck-were analyzed with MALDI(-)-MS. A novel algorithm (implemented as an executable Python script) for MS data analysis was developed to compare the five matrix materials and to help mass spectrometrists rapidly identify peaks originating from the sample and matrix material. It was determined that all five of the studied aminoacridines can successfully be used as matrix materials in MALDI(-)-MS analysis. As an interesting finding, in several cases, the best mass spectra were obtained by using a relatively small amount of matrix material mixed with an excess amount of sample. 3- and 4-aminoacridine outperformed the other aminoacridines in the ease of obtaining acceptable spectra, average number of ions identified in the mass spectra, and low dependence of the sample-to-matrix mass ratio on experimental results.
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Affiliation(s)
- Eliise Tammekivi
- University of Tartu, Institute of Chemistry, Ravila 14a, 50411 Tartu, Estonia
| | - Ali Ghiami-Shomami
- University of Tartu, Institute of Chemistry, Ravila 14a, 50411 Tartu, Estonia
| | - Sofja Tshepelevitsh
- University of Tartu, Institute of Chemistry, Ravila 14a, 50411 Tartu, Estonia
| | - Aleksander Trummal
- National Institute of Chemical Physics and Biophysics, Akadeemia tee 23, 12618 Tallinn, Estonia
| | - Mihkel Ilisson
- University of Tartu, Institute of Chemistry, Ravila 14a, 50411 Tartu, Estonia
| | - Sigrid Selberg
- University of Tartu, Institute of Chemistry, Ravila 14a, 50411 Tartu, Estonia
| | - Signe Vahur
- University of Tartu, Institute of Chemistry, Ravila 14a, 50411 Tartu, Estonia
| | - Anu Teearu
- University of Tartu, Institute of Chemistry, Ravila 14a, 50411 Tartu, Estonia
| | - Märt Lõkov
- University of Tartu, Institute of Chemistry, Ravila 14a, 50411 Tartu, Estonia
| | - Pilleriin Peets
- University of Tartu, Institute of Chemistry, Ravila 14a, 50411 Tartu, Estonia
| | - Todd Pagano
- Department of Science & Mathematics, Rochester Institute of Technology, 14623 Rochester, New York, United States
| | - Ivo Leito
- University of Tartu, Institute of Chemistry, Ravila 14a, 50411 Tartu, Estonia
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21
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Removal of optimal cutting temperature (O.C.T.) compound from embedded tissue for MALDI imaging of lipids. Anal Bioanal Chem 2021; 413:2695-2708. [PMID: 33564925 DOI: 10.1007/s00216-020-03128-z] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Revised: 11/27/2020] [Accepted: 12/15/2020] [Indexed: 12/14/2022]
Abstract
Matrix-assisted laser desorption/ionisation mass spectrometry imaging (MALDI-MSI) is a common molecular imaging modality used to characterise the abundance and spatial distribution of lipids in situ. There are several technical challenges predominantly involving sample pre-treatment and preparation which have complicated the analysis of clinical tissues by MALDI-MSI. Firstly, the common embedding of samples in optimal cutting temperature (O.C.T.), which contains high concentrations of polyethylene glycol (PEG) polymers, causes analyte signal suppression during mass spectrometry (MS) by competing for available ions during ionisation. This suppressive effect has constrained the application of MALDI-MSI for the molecular mapping of clinical tissues. Secondly, the complexity of the mass spectra is obtained by the formation of multiple adduct ions. The process of analyte ion formation during MALDI can generate multiple m/z peaks from a single lipid species due to the presence of alkali salts in tissues, resulting in the suppression of protonated adduct formation and the generation of multiple near isobaric ions which produce overlapping spatial distributions. Presented is a method to simultaneously remove O.C.T. and endogenous salts. This approach was applied to lipid imaging in order to prevent analyte suppression, simplify data interpretation, and improve sensitivity by promoting lipid protonation and reducing the formation of alkali adducts.
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22
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Drake RR, Scott DA, Angel PM. Imaging Mass Spectrometry. Mol Imaging 2021. [DOI: 10.1016/b978-0-12-816386-3.00017-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022] Open
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23
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Morikawa-Ichinose T, Miura D, Zhang L, Kim SJ, Maruyama-Nakashita A. Involvement of BGLU30 in Glucosinolate Catabolism in the Arabidopsis Leaf under Dark Conditions. PLANT & CELL PHYSIOLOGY 2020; 61:1095-1106. [PMID: 32255184 DOI: 10.1093/pcp/pcaa035] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/26/2019] [Accepted: 02/14/2020] [Indexed: 06/11/2023]
Abstract
Glucosinolates (GSLs) are secondary metabolites that play important roles in plant defense and are suggested to act as storage compounds. Despite their important roles, metabolic dynamics of GSLs under various growth conditions remain poorly understood. To determine how light conditions influence the levels of different GSLs and their distribution in Arabidopsis leaves, we visualized the GSLs under different light conditions using matrix-assisted laser desorption/ionization mass spectrometry imaging. We observed the unique distribution patterns of each GSL in the inner regions of leaves and marked decreases under darkness, indicating light conditions influenced GSL metabolism. GSLs are hydrolyzed by a group of ß-glucosidase (BGLU) called myrosinase. Previous transcriptome data for GSL metabolism under light and dark conditions have revealed the highly induced expression of BGLU30, one of the putative myrosinases, which is also annotated as Dark INducible2, under darkness. Impairment of the darkness-induced GSL decrease in the disruption mutants of BGLU30, bglu30, indicated that BGLU30 mediated GSL hydrolysis under darkness. Based on the GSL profiles in the wild-type and bglu30 leaves under both conditions, short-chain GSLs were potentially preferable substrates for BGLU30. Our findings provide an effective way of visualizing GSL distribution in plants and highlighted the carbon storage GSL function.
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Affiliation(s)
- Tomomi Morikawa-Ichinose
- Department of Bioscience and Biotechnology Faculty of Agriculture, Kyushu University, 744, Motooka, Nishi-ku, Fukuoka 819-0395, Japan
- Innovation Center for Medical Redox Navigation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
| | - Daisuke Miura
- Innovation Center for Medical Redox Navigation, Kyushu University, 3-1-1 Maidashi, Higashi-ku, Fukuoka 812-8582, Japan
- Biomedical Research Institute, National Institute of Advanced Industrial Science and Technology, Central 6, 1-1-1, Higashi, Tsukuba, Ibaraki 305-8566, Japan
| | - Liu Zhang
- Department of Bioscience and Biotechnology Faculty of Agriculture, Kyushu University, 744, Motooka, Nishi-ku, Fukuoka 819-0395, Japan
| | - Sun-Ju Kim
- Department of Bio-Environmental Chemistry College of Agriculture and Life Sciences, Chungnam National University, Daejeon 34134, Korea
| | - Akiko Maruyama-Nakashita
- Department of Bioscience and Biotechnology Faculty of Agriculture, Kyushu University, 744, Motooka, Nishi-ku, Fukuoka 819-0395, Japan
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24
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Eveque-Mourroux MR, Emans PJ, Zautsen RRM, Boonen A, Heeren RMA, Cillero-Pastor B. Spatially resolved endogenous improved metabolite detection in human osteoarthritis cartilage by matrix assisted laser desorption ionization mass spectrometry imaging. Analyst 2019; 144:5953-5958. [PMID: 31418440 DOI: 10.1039/c9an00944b] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Osteoarthritis (OA) is one of the most common musculoskeletal diseases, characterized by the progressive deterioration of articular cartilage. Although the disease has been well studied in the past few years, the endogenous metabolic composition and more importantly the spatial information of these molecules in cartilage is still poorly understood. Matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI) has been previously used for the investigation of the bimolecular distribution of proteins and lipids through the in situ analysis of cartilage tissue sections. MALDI-MSI as a tool to detect metabolites remains challenging, as these species have low abundance and degrade rapidly. In this work, we present a complete methodology, from sample preparation to data analysis for the detection of endogenous metabolites on cartilage by MSI. Our results demonstrate for the first time the ability to detect small molecules in fragile, challenging tissues through an optimized protocol, and render MSI as a tool towards a better understanding of OA.
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Affiliation(s)
- M R Eveque-Mourroux
- The Maastricht Multimodal Molecular Imaging Institute (M4I), Division of Imaging Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229 ER Maastricht, the Netherlands.
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25
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Ucal Y, Coskun A, Ozpinar A. Quality will determine the future of mass spectrometry imaging in clinical laboratories: the need for standardization. Expert Rev Proteomics 2019; 16:521-532. [DOI: 10.1080/14789450.2019.1624165] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Affiliation(s)
- Yasemin Ucal
- School of Medicine, Department of Medical Biochemistry, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey
| | - Abdurrahman Coskun
- School of Medicine, Department of Medical Biochemistry, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey
| | - Aysel Ozpinar
- School of Medicine, Department of Medical Biochemistry, Acibadem Mehmet Ali Aydinlar University, Istanbul, Turkey
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