1
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Scoggins TR, Specker JT, Prentice BM. Multiple ion isolation and accumulation events for selective chemical noise reduction and dynamic range enhancement in MALDI imaging mass spectrometry. Analyst 2024; 149:2459-2468. [PMID: 38525787 PMCID: PMC11149414 DOI: 10.1039/d4an00160e] [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] [Indexed: 03/26/2024]
Abstract
Abundant chemical noise in MALDI imaging mass spectrometry experiments can impede the detection of less abundant compounds of interest. This chemical noise commonly originates from the MALDI matrix as well as other endogenous compounds present in high concentrations and/or with high ionization efficiencies. MALDI imaging mass spectrometry of biological tissues measures numerous biomolecular compounds that exist in a wide range of concentrations in vivo. When ion trapping instruments are used, highly abundant ions can dominate the charge capacity and lead to space charge effects that hinder the dynamic range and detection of lowly abundant compounds of interest. Gas-phase fractionation has been previously utilized in mass spectrometry to isolate and enrich target analytes. Herein, we have characterized the use of multiple continuous accumulations of selected ions (Multi CASI) to reduce the abundance of chemical noise and diminish the effects of space charge in MALDI imaging mass spectrometry experiments. Multi CASI utilizes the mass-resolving capability of a quadrupole mass filter to perform multiple sequential ion isolation events prior to a single mass analysis of the combined ion population. Multi CASI was used to improve metabolite and lipid detection in the MALDI imaging mass spectrometry analysis of rat brain tissue.
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Affiliation(s)
- Troy R Scoggins
- Department of Chemistry, University of Florida, Gainesville, FL, USA.
| | | | - Boone M Prentice
- Department of Chemistry, University of Florida, Gainesville, FL, USA.
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2
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Yang L, Yuan J, Yu B, Hu S, Bai Y. Sample preparation for fatty acid analysis in biological samples with mass spectrometry-based strategies. Anal Bioanal Chem 2024; 416:2371-2387. [PMID: 38319358 DOI: 10.1007/s00216-024-05185-0] [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: 09/18/2023] [Revised: 01/05/2024] [Accepted: 01/29/2024] [Indexed: 02/07/2024]
Abstract
Fatty acids (FAs) have attracted many interests for their pivotal roles in many biological processes. Imbalance of FAs is related to a variety of diseases, which makes the measurement of them important in biological samples. Over the past two decades, mass spectrometry (MS) has become an indispensable technique for the analysis of FAs owing to its high sensitivity and precision. Due to complex matrix effect of biological samples and inherent poor ionization efficiency of FAs in MS, sample preparation including extraction and chemical derivatization prior to analysis are often employed. Here, we describe an updated overview of FA extraction techniques, as well as representative derivatization methods utilized in different MS platforms including gas chromatography-MS, liquid chromatography-MS, and mass spectrometry imaging based on different chain lengths of FAs. Derivatization strategies for the identification of double bond location in unsaturated FAs are also summarized and highlighted. The advantages, disadvantages, and prospects of these methods are compared and discussed. This review provides the development and valuable information for sample pretreatment approaches and qualitative and quantitative analysis of interested FAs using different MS-based platforms in complex biological matrices. Finally, the challenges of FA analysis are summarized and the future perspectives are prospected.
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Affiliation(s)
- Li Yang
- Department of Pharmacy, Shanxi Medical University, Taiyuan, 030001, People's Republic of China.
| | - Jie Yuan
- Department of Pharmacy, Shanxi Medical University, Taiyuan, 030001, People's Republic of China
| | - Bolin Yu
- Department of Pharmacy, Shanxi Medical University, Taiyuan, 030001, People's Republic of China
| | - Shuang Hu
- Department of Pharmacy, Shanxi Medical University, Taiyuan, 030001, People's Republic of China
| | - Yu Bai
- Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, College of Chemistry and Molecular Engineering, Beijing National Laboratory for Molecular Sciences, Peking University, Beijing, 100871, People's Republic of China.
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3
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Moore JL, Charkoftaki G. A Guide to MALDI Imaging Mass Spectrometry for Tissues. J Proteome Res 2023; 22:3401-3417. [PMID: 37877579 DOI: 10.1021/acs.jproteome.3c00167] [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: 10/26/2023]
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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4
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Lu W, Park NR, TeSlaa T, Jankowski CS, Samarah L, McReynolds M, Xing X, Schembri J, Woolf MT, Rabinowitz JD, Davidson SM. Acidic Methanol Treatment Facilitates Matrix-Assisted Laser Desorption Ionization-Mass Spectrometry Imaging of Energy Metabolism. Anal Chem 2023; 95:14879-14888. [PMID: 37756255 PMCID: PMC10568533 DOI: 10.1021/acs.analchem.3c01875] [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: 05/01/2023] [Accepted: 08/15/2023] [Indexed: 09/29/2023]
Abstract
Detection of small molecule metabolites (SMM), particularly those involved in energy metabolism using MALDI-mass spectrometry imaging (MSI), is challenging due to factors including ion suppression from other analytes present (e.g., proteins and lipids). One potential solution to enhance SMM detection is to remove analytes that cause ion suppression from tissue sections before matrix deposition through solvent washes. Here, we systematically investigated solvent treatment conditions to improve SMM signal and preserve metabolite localization. Washing with acidic methanol significantly enhances the detection of phosphate-containing metabolites involved in energy metabolism. The improved detection is due to removing lipids and highly polar metabolites that cause ion suppression and denaturing proteins that release bound phosphate-containing metabolites. Stable isotope infusions of [13C6]nicotinamide coupled to MALDI-MSI ("Iso-imaging") in the kidney reveal patterns that indicate blood vessels, medulla, outer stripe, and cortex. We also observed different ATP:ADP raw signals across mouse kidney regions, consistent with regional differences in glucose metabolism favoring either gluconeogenesis or glycolysis. In mouse muscle, Iso-imaging using [13C6]glucose shows high glycolytic flux from infused circulating glucose in type 1 and 2a fibers (soleus) and relatively lower glycolytic flux in type 2b fiber type (gastrocnemius). Thus, improved detection of phosphate-containing metabolites due to acidic methanol treatment combined with isotope tracing provides an improved way to probe energy metabolism with spatial resolution in vivo.
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Affiliation(s)
- Wenyun Lu
- Lewis
Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey 08544, United States
- Department
of Chemistry, Princeton University, Princeton, New Jersey 08544, United States
| | - Noel R. Park
- Lewis
Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey 08544, United States
| | - Tara TeSlaa
- Department
of Molecular and Medical Pharmacology, University
of California Los Angeles, Los Angeles, California 90095, United States
| | - Connor S.R. Jankowski
- Lewis
Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey 08544, United States
| | - Laith Samarah
- Lewis
Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey 08544, United States
| | - Melanie McReynolds
- Department
of Biochemistry and Molecular Biology, The
Pennsylvania State University, University Park, Pennsylvania 16802, United States
| | - Xi Xing
- Lewis
Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey 08544, United States
- Department
of Chemistry, Princeton University, Princeton, New Jersey 08544, United States
| | - Jessica Schembri
- Lewis
Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey 08544, United States
| | - Morgan T. Woolf
- Department
of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania, Philadelphia, Pennsylvania 19104, United States
| | - Joshua D. Rabinowitz
- Lewis
Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey 08544, United States
- Rutgers
Cancer Institute of New Jersey (CINJ), Rutgers
University, New Brunswick, New Jersey 08901, United States
- Department
of Chemistry, Princeton University, Princeton, New Jersey 08544, United States
- Ludwig
Institute for Cancer Research, Princeton
University, Princeton, New Jersey 08544, United States
| | - Shawn M. Davidson
- Lewis
Sigler Institute for Integrative Genomics, Princeton University, Princeton, New Jersey 08544, United States
- Rutgers
Cancer Institute of New Jersey (CINJ), Rutgers
University, New Brunswick, New Jersey 08901, United States
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5
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Vicari M, Mirzazadeh R, Nilsson A, Shariatgorji R, Bjärterot P, Larsson L, Lee H, Nilsson M, Foyer J, Ekvall M, Czarnewski P, Zhang X, Svenningsson P, Käll L, Andrén PE, Lundeberg J. Spatial multimodal analysis of transcriptomes and metabolomes in tissues. Nat Biotechnol 2023:10.1038/s41587-023-01937-y. [PMID: 37667091 DOI: 10.1038/s41587-023-01937-y] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/19/2022] [Accepted: 08/08/2023] [Indexed: 09/06/2023]
Abstract
We present a spatial omics approach that combines histology, mass spectrometry imaging and spatial transcriptomics to facilitate precise measurements of mRNA transcripts and low-molecular-weight metabolites across tissue regions. The workflow is compatible with commercially available Visium glass slides. We demonstrate the potential of our method using mouse and human brain samples in the context of dopamine and Parkinson's disease.
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Affiliation(s)
- Marco Vicari
- Department of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden
| | - Reza Mirzazadeh
- Department of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden
| | - Anna Nilsson
- Department of Pharmaceutical Biosciences, Spatial Mass Spectrometry, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Reza Shariatgorji
- Department of Pharmaceutical Biosciences, Spatial Mass Spectrometry, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Patrik Bjärterot
- Department of Pharmaceutical Biosciences, Spatial Mass Spectrometry, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Ludvig Larsson
- Department of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden
| | - Hower Lee
- Department of Biochemistry and Biophysics, Stockholm University, Science for Life Laboratory, Stockholm, Sweden
| | - Mats Nilsson
- Department of Biochemistry and Biophysics, Stockholm University, Science for Life Laboratory, Stockholm, Sweden
| | - Julia Foyer
- Department of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden
| | - Markus Ekvall
- Department of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden
| | - Paulo Czarnewski
- Department of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden
| | - Xiaoqun Zhang
- Department of Clinical Neuroscience, Section of Neurology, Karolinska Institutet, Stockholm, Sweden
| | - Per Svenningsson
- Department of Clinical Neuroscience, Section of Neurology, Karolinska Institutet, Stockholm, Sweden
- Basic and Clinical Neuroscience, King's College London, London, UK
| | - Lukas Käll
- Department of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden
| | - Per E Andrén
- Department of Pharmaceutical Biosciences, Spatial Mass Spectrometry, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
| | - Joakim Lundeberg
- Department of Gene Technology, KTH Royal Institute of Technology, Science for Life Laboratory, Stockholm, Sweden.
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6
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Kaya I, Nilsson A, Luptáková D, He Y, Vallianatou T, Bjärterot P, Svenningsson P, Bezard E, Andrén PE. Spatial lipidomics reveals brain region-specific changes of sulfatides in an experimental MPTP Parkinson's disease primate model. NPJ Parkinsons Dis 2023; 9:118. [PMID: 37495571 PMCID: PMC10372136 DOI: 10.1038/s41531-023-00558-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2023] [Accepted: 07/11/2023] [Indexed: 07/28/2023] Open
Abstract
Metabolism of MPTP (1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine) to the neurotoxin MPP+ in the brain causes permanent Parkinson's disease-like symptoms by destroying dopaminergic neurons in the pars compacta of the substantia nigra in humans and non-human primates. However, the complete molecular pathology underlying MPTP-induced parkinsonism remains poorly understood. We used dual polarity matrix-assisted laser desorption/ionization mass spectrometry imaging to thoroughly image numerous glycerophospholipids and sphingolipids in coronal brain tissue sections of MPTP-lesioned and control non-human primate brains (Macaca mulatta). The results revealed specific distributions of several sulfatide lipid molecules based on chain-length, number of double bonds, and importantly, hydroxylation stage. More specifically, certain long-chain hydroxylated sulfatides with polyunsaturated chains in the molecular structure were depleted within motor-related brain regions in the MPTP-lesioned animals, e.g., external and internal segments of globus pallidus and substantia nigra pars reticulata. In contrast, certain long-chain non-hydroxylated sulfatides were found to be elevated within the same brain regions. These findings demonstrate region-specific dysregulation of sulfatide metabolism within the MPTP-lesioned macaque brain. The depletion of long-chain hydroxylated sulfatides in the MPTP-induced pathology indicates oxidative stress and oligodendrocyte/myelin damage within the pathologically relevant brain regions. Hence, the presented findings improve our current understanding of the molecular pathology of MPTP-induced parkinsonism within primate brains, and provide a basis for further research regarding the role of dysregulated sulfatide metabolism in PD.
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Affiliation(s)
- Ibrahim Kaya
- Department of Pharmaceutical Biosciences, Spatial Mass Spectrometry, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Anna Nilsson
- Department of Pharmaceutical Biosciences, Spatial Mass Spectrometry, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Dominika Luptáková
- Department of Pharmaceutical Biosciences, Spatial Mass Spectrometry, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Yachao He
- Section of Neurology, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Theodosia Vallianatou
- Department of Pharmaceutical Biosciences, Spatial Mass Spectrometry, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Patrik Bjärterot
- Department of Pharmaceutical Biosciences, Spatial Mass Spectrometry, Science for Life Laboratory, Uppsala University, Uppsala, Sweden
| | - Per Svenningsson
- Section of Neurology, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden
| | - Erwan Bezard
- University of Bordeaux, CNRS, IMN, UMR 5293, F-33000, Bordeaux, France
| | - Per E Andrén
- Department of Pharmaceutical Biosciences, Spatial Mass Spectrometry, Science for Life Laboratory, Uppsala University, Uppsala, Sweden.
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