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Prentice BM. Imaging with mass spectrometry: Which ionization technique is best? JOURNAL OF MASS SPECTROMETRY : JMS 2024; 59:e5016. [PMID: 38625003 DOI: 10.1002/jms.5016] [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: 01/12/2024] [Revised: 02/07/2024] [Accepted: 02/21/2024] [Indexed: 04/17/2024]
Abstract
The use of mass spectrometry (MS) to acquire molecular images of biological tissues and other substrates has developed into an indispensable analytical tool over the past 25 years. Imaging mass spectrometry technologies are widely used today to study the in situ spatial distributions for a variety of analytes. Early MS images were acquired using secondary ion mass spectrometry and matrix-assisted laser desorption/ionization. Researchers have also designed and developed other ionization techniques in recent years to probe surfaces and generate MS images, including desorption electrospray ionization (DESI), nanoDESI, laser ablation electrospray ionization, and infrared matrix-assisted laser desorption electrospray ionization. Investigators now have a plethora of ionization techniques to select from when performing imaging mass spectrometry experiments. This brief perspective will highlight the utility and relative figures of merit of these techniques within the context of their use in imaging mass spectrometry.
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Affiliation(s)
- Boone M Prentice
- Department of Chemistry, University of Florida, Gainesville, Florida, USA
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2
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Bonney JR, Kang WY, Specker JT, Liang Z, Scoggins TR, Prentice BM. Relative Quantification of Lipid Isomers in Imaging Mass Spectrometry Using Gas-Phase Charge Inversion Ion/Ion Reactions and Infrared Multiphoton Dissociation. Anal Chem 2023; 95:17766-17775. [PMID: 37991720 PMCID: PMC11161029 DOI: 10.1021/acs.analchem.3c03804] [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] [Indexed: 11/23/2023]
Abstract
Accurate structural identification of lipids in imaging mass spectrometry is critical to properly contextualizing spatial distributions with tissue biochemistry. Gas-phase charge inversion ion/ion reactions alter the ion type prior to dissociation to allow for more structurally informative fragmentation and improve lipid identification at the isomeric level. In this work, infrared multiphoton dissociation (IRMPD) was interfaced with a commercial hybrid Qh-FT-ICR mass spectrometer to enable the rapid fragmentation of gas-phase charge inversion ion/ion reaction products at every pixel in imaging mass spectrometry experiments. An ion/ion reaction between phosphatidylcholine (PC) monocations generated from rat brain tissue via matrix-assisted laser desorption/ionization (MALDI) and 1,4-phenylenediproprionic acid reagent dianions generated via electrospray ionization (ESI) followed by IRMPD of the resulting product ion complex produces selective fatty acyl chain cleavages indicative of fatty acyl carbon compositions in the lipid. Ion/ion reaction images using this workflow allow for mapping of the relative spatial distribution of multiple PC isomers under a single sum composition lipid identification. Lipid isomers display significantly different relative spatial distributions within rat brain tissue, highlighting the importance of resolving isomers in imaging mass spectrometry experiments.
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Affiliation(s)
- Julia R. Bonney
- Department of Chemistry, University of Florida, Gainesville, FL 32611
| | - Woo-Young Kang
- Department of Chemistry, University of Florida, Gainesville, FL 32611
| | | | - Zhongling Liang
- Department of Chemistry, University of Florida, Gainesville, FL 32611
| | - Troy R. Scoggins
- Department of Chemistry, University of Florida, Gainesville, FL 32611
| | - Boone M. Prentice
- Department of Chemistry, University of Florida, Gainesville, FL 32611
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Zhang J, Zang Q, Xu W, Tang F. Rapid imaging of unsaturated lipids at isomer level using photoepoxidation. Talanta 2023; 261:124643. [PMID: 37196400 DOI: 10.1016/j.talanta.2023.124643] [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: 02/22/2023] [Revised: 04/29/2023] [Accepted: 05/02/2023] [Indexed: 05/19/2023]
Abstract
Unsaturated lipids play an essential role in living organisms, and their different isomers show significant functional differences. Therefore, in situ characterization of unsaturated lipids in tissues needs to be extended to isomer level. However, the exposure of tissue sections to an open environment for a long time may cause cell autolysis or corruption, and current unsaturated lipid imaging methods still face challenges in efficiency. This paper proposes an imaging method based on photoepoxidation coupled with air-flow-assisted desorption electrospray ionization mass spectrometry (AFADESI-MS) to rapidly realize the spatial characterization of unsaturated lipids at the isomer level. The technique has a fast response speed, high epoxide yield (>80%), and high diagnostic ion abundance. After 0.5 min of photoepoxidation, the derivation product yield ratio reached 24.6%. This method rapidly identified six glycerophospholipid isomers containing an 18:1 acyl chain in normal rat liver tissue. Then the imaging method was applied in nude mice lung cancer tissue and human thyroid cancer tissue, with only 3 min photoepoxidation. Results successfully characterized the location and range of unsaturated lipid isomers and revealed their enrichment in tumor tissue. In addition, the experiment shows that the variational trend of the ratio of unsaturated lipid isomers in different types of tumor samples is different. Based on the advantages of efficiency and convenience, this method is prospective for screening unsaturated lipid markers and pathological research of related diseases.
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Affiliation(s)
- Jian Zhang
- School of Life Science, Beijing Institute of Technology, No.5 Yard, Zhongguancun South Street, Haidian District, Beijing, 100081, China
| | - Qingce Zang
- State Key Laboratory of Bioactive Substances and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, A2 Nanwei Road, Xicheng District, Beijing, 100050, China
| | - Wei Xu
- School of Life Science, Beijing Institute of Technology, No.5 Yard, Zhongguancun South Street, Haidian District, Beijing, 100081, China.
| | - Fei Tang
- State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Zhongguancun Street, Hai Dian District, Beijing, 100084, China.
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Zhang J, Zhang Z, Jiang T, Zhang Z, Zhang W, Xu W. Rapidly identifying and quantifying of unsaturated lipids with carbon-carbon double bond isomers by photoepoxidation. Talanta 2023; 260:124575. [PMID: 37141821 DOI: 10.1016/j.talanta.2023.124575] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 04/14/2023] [Accepted: 04/18/2023] [Indexed: 05/06/2023]
Abstract
Unsaturated lipids play an essential role in life activities. Identifying and quantifying their carbon-carbon double bond (CC) isomers have become a hot topic in recent years. In lipidomics, the analysis of unsaturated lipids in complex biological samples usually requires high-throughput methods, which puts forward the requirements of rapid response and simple operation for identification. In this paper, we proposed a photoepoxidation strategy, which uses benzoin to open the double bonds of unsaturated lipids to form epoxides under ultraviolet light and aerobic conditions. Photoepoxidation is controlled by light and has a fast response. After 5 min, the derivatization yield can reach 80% with no side reaction products. Besides, the method has the advantages of high quantitation accuracy and a high yield of diagnostic ions. It was successfully applied to rapidly identify the double bond locations of various unsaturated lipids in both positive and negative ion modes, and to rapidly identify and quantitatively analyze the various isomers of unsaturated lipids in mouse tissue extract. So the method has the potential for large-scale analysis of unsaturated lipids in complex biological samples.
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Affiliation(s)
- Jian Zhang
- School of Life Science, Beijing Institute of Technology, No.5 Yard, Zhongguancun South Street, Haidian District, Beijing, 100081, China
| | - Zesen Zhang
- State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Zhongguancun Street, Hai Dian District, Beijing, 100084, China
| | - Ting Jiang
- School of Life Science, Beijing Institute of Technology, No.5 Yard, Zhongguancun South Street, Haidian District, Beijing, 100081, China
| | - Zhenyu Zhang
- State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instrument, Tsinghua University, Zhongguancun Street, Hai Dian District, Beijing, 100084, China
| | - Wenjing Zhang
- School of Life Science, Beijing Institute of Technology, No.5 Yard, Zhongguancun South Street, Haidian District, Beijing, 100081, China
| | - Wei Xu
- School of Life Science, Beijing Institute of Technology, No.5 Yard, Zhongguancun South Street, Haidian District, Beijing, 100081, China.
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Chen C, Li R, Wu H. Recent progress in the analysis of unsaturated fatty acids in biological samples by chemical derivatization-based chromatography-mass spectrometry methods. J Chromatogr B Analyt Technol Biomed Life Sci 2023; 1215:123572. [PMID: 36565575 DOI: 10.1016/j.jchromb.2022.123572] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2022] [Revised: 11/18/2022] [Accepted: 12/05/2022] [Indexed: 12/23/2022]
Abstract
Unsaturated fatty acids (UFAs) are essential fatty acids that execute various biological functions in the human body. Therefore, the qualitative and quantitative analysis of UFAs in biological samples can help to clarify their roles in the occurrence and development of diseases, so to reveal the mechanisms of pathogenesis and potential drug intervention strategies. Chromatography-mass spectrometry is one of the most commonly used techniques for the analysis of UFAs in biological samples. However, due to factors such as the complex structural information of UFAs (the number and specific location of CC double bonds) and the low concentration of UFAs in biological samples, it is still difficult to conduct accurate qualitative and/or quantitative studies of UFAs in complex biological samples. In recent years, the integration and application of chemical derivatization and chromatography-mass spectrometry has been widely used in the detection of UFAs. Based on this overview, we reviewed recent developments and application progress for chemical derivatization-based chromatography-mass spectrometry methods for the qualitative and/or quantitative analysis of UFAs in biological samples over the past ten years. Potential trends for the design and improvement of novel derivatization reagents were proposed.
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Affiliation(s)
- Chang Chen
- Key Laboratory of Xin'an Medicine, Ministry of Education, Anhui University of Chinese Medicine, Hefei 230038, China
| | - Ruijuan Li
- Key Laboratory of Xin'an Medicine, Ministry of Education, Anhui University of Chinese Medicine, Hefei 230038, China
| | - Huan Wu
- Key Laboratory of Xin'an Medicine, Ministry of Education, Anhui University of Chinese Medicine, Hefei 230038, China; Anhui Province Key Laboratory of Chinese Medicinal Formula & Anhui Province Key Laboratory of Research and Development of Chinese Medicine, Hefei 230012, China.
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Meng X, Liu Y, Huo M, Yang S, Zhang X, Tian L, Li W, Wei J, Wang Z, Zhou Z, Chen Y, Wang Z, Abliz Z. Mapping of Fatty Aldehydes in the Diabetic Rat Brain Using On-Tissue Chemical Derivatization and Air-Flow-Assisted Desorption Electrospray Ionization-Mass Spectrometry Imaging. J Proteome Res 2023; 22:36-46. [PMID: 36564034 DOI: 10.1021/acs.jproteome.2c00445] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Fatty aldehydes (FALs) are involved in various biological processes, and their abnormal metabolism is related to the occurrence and development of neurological diseases. Because of their low ionization efficiency, methods for in situ detection and mass spectrometry imaging (MSI) analysis of FALs remain underreported. On-tissue chemical tagging of hardly ionizable target analytes with easily ionized moieties can improve ionization efficiency and detection sensitivity in MSI experiments. In this study, an on-tissue chemical derivatization-air-flow-assisted desorption electrospray ionization-MSI method was developed to visualize FALs in the rat brain. The method showed high sensitivity and specificity, allowing the use of in situ high-resolution MS3 to identify FALs. The methodology was applied to investigate the region-specific distribution of FALs in the brains of control and diabetic encephalopathy (DE) rats. In DE rats, FALs were found to be significantly enriched in various brain regions, especially in the cerebral cortex, hippocampus, and amygdala. Thus, increased FAL levels and oxidative stress occurred in a region-dependent manner, which may contribute to cognitive function deficits in DE. In summary, we provide a novel method for the in situ detection of FALs in biological tissues as well as new insights into the potential pathogenesis of DE.
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Affiliation(s)
- Xianyue Meng
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics, Minzu University of China, National Ethnic Affairs Commission, Beijing 100081, China.,Center for Imaging and Systems Biology, College of Life and Environmental Sciences, Minzu University of China, 27 Zhongguancun South Avenue, Beijing 100081, China
| | - Yanhua Liu
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics, Minzu University of China, National Ethnic Affairs Commission, Beijing 100081, China.,Center for Imaging and Systems Biology, College of Life and Environmental Sciences, Minzu University of China, 27 Zhongguancun South Avenue, Beijing 100081, China
| | - Meiling Huo
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics, Minzu University of China, National Ethnic Affairs Commission, Beijing 100081, China.,Center for Imaging and Systems Biology, College of Life and Environmental Sciences, Minzu University of China, 27 Zhongguancun South Avenue, Beijing 100081, China
| | - Shu Yang
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics, Minzu University of China, National Ethnic Affairs Commission, Beijing 100081, China.,Key Laboratory of Ethnomedicine of Ministry of Education, School of Pharmacy, Minzu University of China, Beijing 100081, P. R. China
| | - Xin Zhang
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics, Minzu University of China, National Ethnic Affairs Commission, Beijing 100081, China.,Center for Imaging and Systems Biology, College of Life and Environmental Sciences, Minzu University of China, 27 Zhongguancun South Avenue, Beijing 100081, China
| | - Lu Tian
- New Drug Safety Evaluation Center, Chinese Academy of Medical Sciences, Beijing 100050, China
| | - Wanfang Li
- New Drug Safety Evaluation Center, Chinese Academy of Medical Sciences, Beijing 100050, China
| | - Jinfeng Wei
- New Drug Safety Evaluation Center, Chinese Academy of Medical Sciences, Beijing 100050, China
| | - Zhaoying Wang
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics, Minzu University of China, National Ethnic Affairs Commission, Beijing 100081, China.,Center for Imaging and Systems Biology, College of Life and Environmental Sciences, Minzu University of China, 27 Zhongguancun South Avenue, Beijing 100081, China
| | - Zhi Zhou
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics, Minzu University of China, National Ethnic Affairs Commission, Beijing 100081, China.,Center for Imaging and Systems Biology, College of Life and Environmental Sciences, Minzu University of China, 27 Zhongguancun South Avenue, Beijing 100081, China
| | - Yanhua Chen
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics, Minzu University of China, National Ethnic Affairs Commission, Beijing 100081, China.,Center for Imaging and Systems Biology, College of Life and Environmental Sciences, Minzu University of China, 27 Zhongguancun South Avenue, Beijing 100081, China
| | - Zhonghua Wang
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics, Minzu University of China, National Ethnic Affairs Commission, Beijing 100081, China.,Center for Imaging and Systems Biology, College of Life and Environmental Sciences, Minzu University of China, 27 Zhongguancun South Avenue, Beijing 100081, China
| | - Zeper Abliz
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics, Minzu University of China, National Ethnic Affairs Commission, Beijing 100081, China.,Center for Imaging and Systems Biology, College of Life and Environmental Sciences, Minzu University of China, 27 Zhongguancun South Avenue, Beijing 100081, China.,Key Laboratory of Ethnomedicine of Ministry of Education, School of Pharmacy, Minzu University of China, Beijing 100081, P. R. China
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7
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Mass Spectrometry Imaging Techniques Enabling Visualization of Lipid Isomers in Biological Tissues. Anal Chem 2022; 94:4889-4900. [PMID: 35303408 DOI: 10.1021/acs.analchem.1c05108] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
This Feature focuses on a review of recent developments in mass spectrometry imaging (MSI) of lipid isomers in biological tissues. The tandem MS techniques utilizing online and offline chemical derivatization procedures, ion activation techniques such as ozone-induced dissociation (OzID), ultraviolet photodissociation (UVPD), or electron-induced dissociation (EID), and other techniques such as coupling of ion mobility with MSI are discussed. The importance of resolving lipid isomers in diseases is highlighted.
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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: 1] [Impact Index Per Article: 0.5] [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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Recent Advances of Ambient Mass Spectrometry Imaging and Its Applications in Lipid and Metabolite Analysis. Metabolites 2021; 11:metabo11110780. [PMID: 34822438 PMCID: PMC8625079 DOI: 10.3390/metabo11110780] [Citation(s) in RCA: 16] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2021] [Revised: 11/08/2021] [Accepted: 11/11/2021] [Indexed: 01/02/2023] Open
Abstract
Ambient mass spectrometry imaging (AMSI) has attracted much attention in recent years. As a kind of unlabeled molecular imaging technique, AMSI can enable in situ visualization of a large number of compounds in biological tissue sections in ambient conditions. In this review, the developments of various AMSI techniques are discussed according to one-step and two-step ionization strategies. In addition, recent applications of AMSI for lipid and metabolite analysis (from 2016 to 2021) in disease diagnosis, animal model research, plant science, drug metabolism and toxicology research, etc., are summarized. Finally, further perspectives of AMSI in spatial resolution, sensitivity, quantitative ability, convenience and software development are proposed.
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