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Chen Y, Xie Y, Li L, Wang Z, Yang L. Advances in mass spectrometry imaging for toxicological analysis and safety evaluation of pharmaceuticals. MASS SPECTROMETRY REVIEWS 2022:e21807. [PMID: 36146929 DOI: 10.1002/mas.21807] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2022] [Revised: 07/27/2022] [Accepted: 08/08/2022] [Indexed: 06/16/2023]
Abstract
Safety issues caused by pharmaceuticals have frequently occurred worldwide, posing a tremendous threat to human health. As an essential part of drug development, the toxicological analysis and safety evaluation is of great significance. In addition, the risk of pharmaceuticals accumulation in the environment and the monitoring of the toxicity from natural medicines have also received ongoing concerns. Due to a lack of spatial distribution information provided by common analytical methods, analyses that provide spatial dimensions could serve as complementary safety evaluation methods for better prediction and evaluation of drug toxicity. With advances in technical solutions and software algorithms, mass spectrometry imaging (MSI) has received increasing attention as a popular analytical tool that enables the simultaneous implementation of qualitative, quantitative, and localization without complex sample pretreatment and labeling steps. In recent years, MSI has become more attractive, powerful, and sensitive and has been applied in several scientific fields that can meet the safety assessment requirements. This review aims to cover a detailed summary of the various MSI technologies utilized in the biomedical and pharmaceutical area, including technical principles, advantages, current status, and future trends. Representative applications and developments in the safety-related issues of different pharmaceuticals and natural medicines are also described to provide a reference for pharmaceutical research, improve rational clinical medicine use, and ensure public safety.
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Affiliation(s)
- Yilin Chen
- The MOE Key Laboratory of Standardization of Chinese Medicines, the SATCM Key Laboratory of New Resources and Quality Evaluation of Chinese Medicines, Shanghai Key Laboratory of Compound Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Shanghai Frontiers Science Center of TCM Chemical Biology, Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Yanqiao Xie
- The MOE Key Laboratory of Standardization of Chinese Medicines, the SATCM Key Laboratory of New Resources and Quality Evaluation of Chinese Medicines, Shanghai Key Laboratory of Compound Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Linnan Li
- The MOE Key Laboratory of Standardization of Chinese Medicines, the SATCM Key Laboratory of New Resources and Quality Evaluation of Chinese Medicines, Shanghai Key Laboratory of Compound Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Zhengtao Wang
- The MOE Key Laboratory of Standardization of Chinese Medicines, the SATCM Key Laboratory of New Resources and Quality Evaluation of Chinese Medicines, Shanghai Key Laboratory of Compound Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, China
| | - Li Yang
- The MOE Key Laboratory of Standardization of Chinese Medicines, the SATCM Key Laboratory of New Resources and Quality Evaluation of Chinese Medicines, Shanghai Key Laboratory of Compound Chinese Medicines, Institute of Chinese Materia Medica, Shanghai University of Traditional Chinese Medicine, Shanghai, China
- Shanghai Frontiers Science Center of TCM Chemical Biology, Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai, China
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2
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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: 22] [Impact Index Per Article: 11.0] [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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3
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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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Liu H, Han M, Li J, Qin L, Chen L, Hao Q, Jiang D, Chen D, Ji Y, Han H, Long C, Zhou Y, Feng J, Wang X. A Caffeic Acid Matrix Improves In Situ Detection and Imaging of Proteins with High Molecular Weight Close to 200,000 Da in Tissues by Matrix-Assisted Laser Desorption/Ionization Mass Spectrometry Imaging. Anal Chem 2021; 93:11920-11928. [PMID: 34405989 DOI: 10.1021/acs.analchem.0c05480] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
To our knowledge, this was the first study in which caffeic acid (CA) was successfully evaluated as a matrix to enhance the in situ detection and imaging of endogenous proteins in three biological tissue sections (i.e., a rat brain and Capparis masaikai and germinating soybean seeds) by matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI). Our results show several properties of CA, including strong ultraviolet absorption, a super-wide MS detection mass range close to 200,000 Da, micrometer-sized matrix crystals, uniform matrix deposition, and high ionization efficiency. More high-molecular-weight (HMW) protein ion signals (m/z > 30,000) could be clearly detected in biological tissues with the use of CA, compared to two commonly used MALDI matrices, i.e., sinapinic acid (SA) and ferulic acid (FA). Notably, CA shows excellent performance for HMW protein in situ detection from biological tissues in the mass range m/z > 80,000, compared to the use of SA and FA. Furthermore, the use of a CA matrix also significantly enhanced the imaging of proteins on the surface of selected biological tissue sections. Three HMW protein ion signals (m/z 50,419, m/z 65,874, and m/z 191,872) from a rat brain, two sweet proteins (mabinlin-2 and mabinlin-4) from a Capparis masaikai seed, and three HMW protein ion signals (m/z 94,838, m/z 134,204, and m/z 198,738) from a germinating soybean seed were successfully imaged for the first time. Our study proves that CA has the potential to become a standard organic acid matrix for enhanced tissue imaging of HMW proteins by MALDI-MSI in both animal and plant tissues.
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Affiliation(s)
- Haiqiang Liu
- Centre for Imaging & Systems Biology, Minzu University of China, Beijing 100081, China.,College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China
| | - Manman Han
- Centre for Imaging & Systems Biology, Minzu University of China, Beijing 100081, China.,College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China
| | - Jinming Li
- Centre for Imaging & Systems Biology, Minzu University of China, Beijing 100081, China.,College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China
| | - Liang Qin
- Centre for Imaging & Systems Biology, Minzu University of China, Beijing 100081, China.,College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China
| | - Lulu Chen
- Centre for Imaging & Systems Biology, Minzu University of China, Beijing 100081, China.,College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China
| | - Qichen Hao
- Centre for Imaging & Systems Biology, Minzu University of China, Beijing 100081, China.,College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China
| | - Dongxu Jiang
- Centre for Imaging & Systems Biology, Minzu University of China, Beijing 100081, China.,College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China
| | - Difan Chen
- Centre for Imaging & Systems Biology, Minzu University of China, Beijing 100081, China.,College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China
| | - Yuanyuan Ji
- College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China
| | - Hang Han
- College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China
| | - Chunlin Long
- College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China
| | - Yijun Zhou
- College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China
| | - Jinchao Feng
- College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China
| | - Xiaodong Wang
- Centre for Imaging & Systems Biology, Minzu University of China, Beijing 100081, China.,College of Life and Environmental Sciences, Minzu University of China, Beijing 100081, China
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5
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Wang Y, Hummon AB. MS imaging of multicellular tumor spheroids and organoids as an emerging tool for personalized medicine and drug discovery. J Biol Chem 2021; 297:101139. [PMID: 34461098 PMCID: PMC8463860 DOI: 10.1016/j.jbc.2021.101139] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2021] [Revised: 08/26/2021] [Accepted: 08/26/2021] [Indexed: 12/22/2022] Open
Abstract
MS imaging (MSI) is a powerful tool in drug discovery because of its ability to interrogate a wide range of endogenous and exogenous molecules in a broad variety of samples. The impressive versatility of the approach, where almost any ionizable biomolecule can be analyzed, including peptides, proteins, lipids, carbohydrates, and nucleic acids, has been applied to numerous types of complex biological samples. While originally demonstrated with harvested organs from animal models and biopsies from humans, these models are time consuming and expensive, which makes it necessary to extend the approach to 3D cell culture systems. These systems, which include spheroid models, prepared from immortalized cell lines, and organoid cultures, grown from patient biopsies, can provide insight on the intersection of molecular information on a spatial scale. In particular, the investigation of drug compounds, their metabolism, and the subsequent distribution of their metabolites in 3D cell culture systems by MSI has been a promising area of study. This review summarizes the different ionization methods, sample preparation steps, and data analysis methods of MSI and focuses on several of the latest applications of MALDI-MSI for drug studies in spheroids and organoids. Finally, the application of this approach in patient-derived organoids to evaluate personalized medicine options is discussed.
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Affiliation(s)
- Yijia Wang
- Department of Chemistry and Biochemistry, Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio 43210, USA
| | - Amanda B Hummon
- Department of Chemistry and Biochemistry, Comprehensive Cancer Center, The Ohio State University, Columbus, Ohio 43210, USA.
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6
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He Q, Sun C, Liu J, Pan Y. MALDI-MSI analysis of cancer drugs: Significance, advances, and applications. Trends Analyt Chem 2021. [DOI: 10.1016/j.trac.2021.116183] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
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7
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Saigusa D, Matsukawa N, Hishinuma E, Koshiba S. Identification of biomarkers to diagnose diseases and find adverse drug reactions by metabolomics. Drug Metab Pharmacokinet 2020; 37:100373. [PMID: 33631535 DOI: 10.1016/j.dmpk.2020.11.008] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Revised: 11/24/2020] [Accepted: 11/25/2020] [Indexed: 12/12/2022]
Abstract
Metabolomics has been widely used for investigating the biological functions of disease expression and has the potential to discover biomarkers in circulating biofluids or tissue extracts that reflect in phenotypic changes. Metabolic profiling has advantages because of the use of unbiased techniques, including multivariate analysis, and has been applied in pharmacological studies to predict therapeutic and adverse reactions of drugs, which is called pharmacometabolomics (PMx). Nuclear magnetic resonance (NMR)- and mass spectrometry (MS)-based metabolomics has contributed to the discovery of recent disease biomarkers; however, the optimal strategy for the study purpose must be selected from many established protocols, methodologies and analytical platforms. Additionally, information on molecular localization in tissue is essential for further functional analyses related to therapeutic and adverse effects of drugs in the process of drug development. MS imaging (MSI) is a promising technology that can visualize molecules on tissue surfaces without labeling and thus provide localized information. This review summarizes recent uses of MS-based global and wide-targeted metabolomics technologies and the advantages of the MSI approach for PMx and highlights the PMx technique for the biomarker discovery of adverse drug effects.
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Affiliation(s)
- Daisuke Saigusa
- Department of Integrative Genomics, Tohoku University Tohoku Medical Megabank Organization, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8573, Japan; Medical Biochemistry, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8575, Japan.
| | - Naomi Matsukawa
- Department of Integrative Genomics, Tohoku University Tohoku Medical Megabank Organization, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8573, Japan; Medical Biochemistry, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8575, Japan.
| | - Eiji Hishinuma
- Department of Integrative Genomics, Tohoku University Tohoku Medical Megabank Organization, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8573, Japan; Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8573, Japan.
| | - Seizo Koshiba
- Department of Integrative Genomics, Tohoku University Tohoku Medical Megabank Organization, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8573, Japan; Medical Biochemistry, Tohoku University Graduate School of Medicine, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8575, Japan; Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai, 980-8573, Japan.
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8
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Fernández-Vega A, Chicano-Gálvez E, Prentice BM, Anderson D, Priego-Capote F, López-Bascón MA, Calderón-Santiago M, Avendaño MS, Guzmán-Ruiz R, Tena-Sempere M, Fernández JA, Caprioli RM, Malagón MM. Optimization of a MALDI-Imaging protocol for studying adipose tissue-associated disorders. Talanta 2020; 219:121184. [PMID: 32887102 DOI: 10.1016/j.talanta.2020.121184] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2020] [Revised: 05/13/2020] [Accepted: 05/15/2020] [Indexed: 12/13/2022]
Abstract
Matrix-assisted laser desorption ionization (MALDI) imaging mass spectrometry (IMS) is increasingly recognized for its potential in the discovery of novel biomarkers directly from tissue sections. However, there are no MALDI IMS studies as yet on the adipose tissue, a lipid-enriched tissue that plays a pivotal role in the development of obesity-associated disorders. Herein, we aimed at developing an optimized method for analyzing adipose tissue lipid composition under both physiological and pathological conditions by MALDI IMS. Our studies showed an exacerbated lipid delocalization from adipose tissue sections when conventional strategies were applied. However, our optimized method using conductive-tape sampling and 2,5-dihydroxybenzoic acid (DHB) as a matrix, preserved the anatomical organization and minimized lipid diffusion from sample sections. This method enabled the identification of a total of 625 down-regulated and 328 up-regulated m/z values in the adipose tissue from a rat model of extreme obesity as compared to lean animals. Combination of MALDI IMS and liquid chromatography (LC)-MS/MS data identified 44 differentially expressed lipid species between lean and obese animals, including phospholipids and sphingomyelins. Among the lipids identified, SM(d18:0_18:2), PE(P-16:0_20:0), and PC(O-16:0_16:1) showed a differential spatial distribution in the adipose tissue of lean vs. obese animals. In sum, our method provides a valuable new tool for research on adipose tissue that may pave the way for the identification of novel biomarkers of obesity and metabolic disease.
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Affiliation(s)
- A Fernández-Vega
- Dept. Cell Biology, Physiology, and Immunology, IMIBIC/University of Cordoba (UCO)/Reina Sofia University Hospital (HURS), Cordoba, Spain; CIBER Physiopathology of Obesity and Nutrition (CIBERobn), ISCIII, Spain
| | | | - B M Prentice
- Department of Chemistry, University of Florida, Gainesville, FL, USA
| | - D Anderson
- Mass Spectrometry Research Center, Vanderbilt University, Nashville, TN, 37232, USA; Department of Biochemistry, Vanderbilt University, Nashville, TN, 37232, USA
| | - F Priego-Capote
- Department of Analytical Chemistry, IMIBIC/UCO/HURS, Cordoba, Spain
| | - M A López-Bascón
- Department of Analytical Chemistry, IMIBIC/UCO/HURS, Cordoba, Spain
| | | | - M S Avendaño
- Dept. Cell Biology, Physiology, and Immunology, IMIBIC/University of Cordoba (UCO)/Reina Sofia University Hospital (HURS), Cordoba, Spain; CIBER Physiopathology of Obesity and Nutrition (CIBERobn), ISCIII, Spain
| | - R Guzmán-Ruiz
- Dept. Cell Biology, Physiology, and Immunology, IMIBIC/University of Cordoba (UCO)/Reina Sofia University Hospital (HURS), Cordoba, Spain; CIBER Physiopathology of Obesity and Nutrition (CIBERobn), ISCIII, Spain
| | - M Tena-Sempere
- Dept. Cell Biology, Physiology, and Immunology, IMIBIC/University of Cordoba (UCO)/Reina Sofia University Hospital (HURS), Cordoba, Spain; CIBER Physiopathology of Obesity and Nutrition (CIBERobn), ISCIII, Spain
| | - J A Fernández
- Department of Physical Chemistry, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), 48940, Leioa, Spain
| | - R M Caprioli
- Mass Spectrometry Research Center, Vanderbilt University, Nashville, TN, 37232, USA; Department of Biochemistry, Vanderbilt University, Nashville, TN, 37232, USA; Department of Physical Chemistry, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), 48940, Leioa, Spain; Department of Chemistry, Vanderbilt University, Nashville, TN, 37232, USA; Department of Biomedical Engineering, Vanderbilt University, Nashville, TN, 37232, USA; Department of Pharmacology, Vanderbilt University, Nashville, TN, 37232, USA; Department of Medicine, Vanderbilt University, Nashville, TN, 37232, USA
| | - M M Malagón
- Dept. Cell Biology, Physiology, and Immunology, IMIBIC/University of Cordoba (UCO)/Reina Sofia University Hospital (HURS), Cordoba, Spain; CIBER Physiopathology of Obesity and Nutrition (CIBERobn), ISCIII, Spain.
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9
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Berghmans E, Van Raemdonck G, Schildermans K, Willems H, Boonen K, Maes E, Mertens I, Pauwels P, Baggerman G. MALDI Mass Spectrometry Imaging Linked with Top-Down Proteomics as a Tool to Study the Non-Small-Cell Lung Cancer Tumor Microenvironment. Methods Protoc 2019; 2:mps2020044. [PMID: 31164623 PMCID: PMC6632162 DOI: 10.3390/mps2020044] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2019] [Revised: 05/10/2019] [Accepted: 05/22/2019] [Indexed: 02/06/2023] Open
Abstract
Advanced non-small-cell lung cancer (NSCLC) is generally linked with a poor prognosis and is one of the leading causes of cancer-related deaths worldwide. Since only a minority of the patients respond well to chemotherapy and/or targeted therapies, immunotherapy might be a valid alternative in the lung cancer treatment field, as immunotherapy attempts to strengthen the body’s own immune response to recognize and eliminate malignant tumor cells. However, positive response patterns to immunotherapy remain unclear. In this study, we demonstrate how immune-related factors could be visualized from single NSCLC tissue sections (Biobank@UZA) while retaining their spatial information by using matrix assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI), in order to unravel the molecular profile of NSCLC patients. In this way, different regions in lung cancerous tissues could be discriminated based on the molecular composition. In addition, we linked visualization (MALDI MSI) and identification (based on liquid chromatography higher resolution mass spectrometry) of the molecules of interest for the correct biological interpretation of the observed molecular differences within the area in which these molecules are detected. This is of major importance to fully understand the underlying molecular profile of the NSCLC tumor microenvironment.
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Affiliation(s)
- Eline Berghmans
- Centre for Proteomics, University of Antwerp, Groenenborgerlaan 171, 2020 Antwerpen, Belgium.
- Health Unit, VITO, Boeretang 200, 2400 Mol, Belgium.
| | - Geert Van Raemdonck
- Centre for Proteomics, University of Antwerp, Groenenborgerlaan 171, 2020 Antwerpen, Belgium.
| | - Karin Schildermans
- Centre for Proteomics, University of Antwerp, Groenenborgerlaan 171, 2020 Antwerpen, Belgium.
- Health Unit, VITO, Boeretang 200, 2400 Mol, Belgium.
| | - Hanny Willems
- Centre for Proteomics, University of Antwerp, Groenenborgerlaan 171, 2020 Antwerpen, Belgium.
- Health Unit, VITO, Boeretang 200, 2400 Mol, Belgium.
| | - Kurt Boonen
- Centre for Proteomics, University of Antwerp, Groenenborgerlaan 171, 2020 Antwerpen, Belgium.
- Health Unit, VITO, Boeretang 200, 2400 Mol, Belgium.
| | - Evelyne Maes
- Food & Bio-Based Products, AgResearch Ltd., 8140 Christchurch, New Zealand.
| | - Inge Mertens
- Centre for Proteomics, University of Antwerp, Groenenborgerlaan 171, 2020 Antwerpen, Belgium.
- Health Unit, VITO, Boeretang 200, 2400 Mol, Belgium.
| | - Patrick Pauwels
- Department of Pathology, Antwerp University Hospital, Wilrijkstraat 10, 2650 Edegem, Belgium.
| | - Geert Baggerman
- Centre for Proteomics, University of Antwerp, Groenenborgerlaan 171, 2020 Antwerpen, Belgium.
- Health Unit, VITO, Boeretang 200, 2400 Mol, Belgium.
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10
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‘What did I do wrong?’ An empirical evaluation of sample preparation methodologies in matrix-assisted laser desorption/ionization-mass spectrometry imaging. Future Sci OA 2019. [DOI: 10.4155/fsoa-2018-0095] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Aim: This guide aims to broaden the uptake of MALDI-MSI biomedical research by removing the initial ‘lag phase’ associated with empirical determination in sample preparation and data analysis. Methods: Samples from several tissue types were prepared for lipid, protein and peptide MSI analysis. Broadly, samples were cryo sectioned, mounted onto conductive MALDI slides and sublimed with an analyte specific matrix, recrystallised and analyzed in a Bruker UltrafleXtreme MALDI TOF/TOF. Results/conclusion: Here we present a general guide that serves as the first comprehensive, explanatory index for curation and verification of both sample preparation and data generation during the MALDI-MSI process.
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11
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Maganti RJ, Hronowski XL, Dunstan RW, Wipke BT, Zhang X, Jandreski L, Hamann S, Juhasz P. Defining Changes in the Spatial Distribution and Composition of Brain Lipids in the Shiverer and Cuprizone Mouse Models of Myelin Disease. J Histochem Cytochem 2018; 67:203-219. [PMID: 30501365 PMCID: PMC6393840 DOI: 10.1369/0022155418815860] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Myelin is composed primarily of lipids and diseases affecting myelin are associated with alterations in its lipid composition. However, correlation of the spatial (in situ) distribution of lipids with the disease-associated compositional and morphological changes is not well defined. Herein we applied high resolution matrix-assisted laser desorption ionization imaging mass spectrometry (MALDI-IMS), immunohistochemistry (IHC), and liquid chromatography–electrospray ionization–mass spectrometry (LC-ESI-MS) to evaluate brain lipid alterations in the dysmyelinating shiverer (Shi) mouse and cuprizone (Cz) mouse model of reversible demyelination. MALDI-IMS revealed a decrease in the spatial distribution of sulfatide (SHexCer) species, SHexCer (d42:2), and a phosphatidylcholine (PC) species, PC (36:1), in white matter regions like corpus callosum (CC) both in the Shi mouse and Cz mouse model. Changes in these lipid species were restored albeit not entirely upon spontaneous remyelination after demyelination in the Cz mouse model. Lipid distribution changes correlated with the local morphological changes as confirmed by IHC. LC-ESI-MS analyses of CC extracts confirmed the MALDI-IMS derived reductions in SHexCer and PC species. These findings highlight the role of SHexCer and PC in preserving the normal myelin architecture and our experimental approaches provide a morphological basis to define lipid abnormalities relevant to myelin diseases.
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Affiliation(s)
| | | | - Robert W Dunstan
- Biogen, Cambridge, Massachusetts.,AbbVie, Worcester, Massachusetts
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12
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Harvey DJ. Analysis of carbohydrates and glycoconjugates by matrix-assisted laser desorption/ionization mass spectrometry: An update for 2013-2014. MASS SPECTROMETRY REVIEWS 2018; 37:353-491. [PMID: 29687922 DOI: 10.1002/mas.21530] [Citation(s) in RCA: 48] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2016] [Accepted: 11/29/2016] [Indexed: 06/08/2023]
Abstract
This review is the eighth update of the original article published in 1999 on the application of Matrix-assisted laser desorption/ionization mass spectrometry (MALDI) mass spectrometry to the analysis of carbohydrates and glycoconjugates and brings coverage of the literature to the end of 2014. Topics covered in the first part of the review include general aspects such as theory of the MALDI process, matrices, derivatization, MALDI imaging, fragmentation, and arrays. The second part of the review is devoted to applications to various structural types such as oligo- and poly- saccharides, glycoproteins, glycolipids, glycosides, and biopharmaceuticals. Much of this material is presented in tabular form. The third part of the review covers medical and industrial applications of the technique, studies of enzyme reactions, and applications to chemical synthesis. © 2018 Wiley Periodicals, Inc. Mass Spec Rev 37:353-491, 2018.
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Affiliation(s)
- David J Harvey
- Target Discovery Institute, Nuffield Department of Medicine, University of Oxford, Roosevelt Drive, Oxford, OX3 7FZ, United Kingdom
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MacLennan MS, Kok MG, Soliman L, So A, Hurtado-Coll A, Chen DD. Capillary electrophoresis-mass spectrometry for targeted and untargeted analysis of the sub-5 kDa urine metabolome of patients with prostate or bladder cancer: A feasibility study. J Chromatogr B Analyt Technol Biomed Life Sci 2018; 1074-1075:79-85. [DOI: 10.1016/j.jchromb.2018.01.007] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2017] [Revised: 01/03/2018] [Accepted: 01/04/2018] [Indexed: 10/18/2022]
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14
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Lazova R, Seeley EH. Proteomic Mass Spectrometry Imaging for Skin Cancer Diagnosis. Dermatol Clin 2017; 35:513-519. [DOI: 10.1016/j.det.2017.06.012] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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15
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O'Rourke MB, Padula MP. A new standard of visual data representation for imaging mass spectrometry. Proteomics Clin Appl 2016; 11. [PMID: 27730748 DOI: 10.1002/prca.201600098] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2016] [Revised: 09/26/2016] [Accepted: 10/07/2016] [Indexed: 12/26/2022]
Abstract
PURPOSE MALDI imaging MS (IMS) is principally used for cancer diagnostics. In our own experience with publishing IMS data, we have been requested to modify our protocols with respect to the areas of the tissue that are imaged in order to comply with the wider literature. In light of this, we have determined that current methodologies lack effective controls and can potentially introduce bias by only imaging specific areas of the targeted tissue EXPERIMENTAL DESIGN: A previously imaged sample was selected and then cropped in different ways to show the potential effect of only imaging targeted areas. RESULTS By using a model sample, we were able to effectively show how selective imaging of samples can misinterpret tissue features and by changing the areas that are acquired, according to our new standard, an effective internal control can be introduced. CONCLUSIONS AND CLINICAL RELEVANCE Current IMS sampling convention relies on the assumption that sample preparation has been performed correctly. This prevents users from checking whether molecules have moved beyond borders of the tissue due to delocalization and consequentially products of improper sample preparation could be interpreted as biological features that are of critical importance when encountered in a visual diagnostic.
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Affiliation(s)
- Matthew B O'Rourke
- Proteomics Core Facility, University of Technology Sydney, Ultimo, NSW, Australia
| | - Matthew P Padula
- Proteomics Core Facility, University of Technology Sydney, Ultimo, NSW, Australia
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Imaging mass spectrometry assists in the classification of diagnostically challenging atypical Spitzoid neoplasms. J Am Acad Dermatol 2016; 75:1176-1186.e4. [PMID: 27502312 DOI: 10.1016/j.jaad.2016.07.007] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2016] [Revised: 06/24/2016] [Accepted: 07/01/2016] [Indexed: 11/20/2022]
Abstract
BACKGROUND Previously, using imaging mass spectrometry (IMS), we discovered proteomic differences between Spitz nevi and Spitzoid melanomas. OBJECTIVE We sought to determine whether IMS can assist in the classification of diagnostically challenging atypical Spitzoid neoplasms (ASN), to compare and correlate the IMS and histopathological diagnoses with clinical behavior. METHODS We conducted a retrospective collaborative study involving centers from 11 countries and 11 US institutions analyzing 102 ASNs by IMS. Patients were divided into clinical groups 1 to 4 representing best to worst clinical behavior. The association among IMS findings, histopathological diagnoses, and clinical groups was assessed. RESULTS There was a strong association between a diagnosis of Spitzoid melanoma by IMS and lesions categorized as clinical groups 2, 3, and 4 (recurrence of disease, metastases, or death) compared with clinical group 1 (no recurrence or metastasis beyond a sentinel node) (P < .0001). Older age and greater tumor thickness were strongly associated with poorer outcome (P = .01). CONCLUSIONS IMS diagnosis of ASN better predicted clinical outcome than histopathology. Diagnosis of Spitzoid melanoma by IMS was strongly associated with aggressive clinical behavior. IMS analysis using a proteomic signature may improve the diagnosis and prediction of outcome/risk stratification for patients with ASN.
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Lee JK, Jansson ET, Nam HG, Zare RN. High-Resolution Live-Cell Imaging and Analysis by Laser Desorption/Ionization Droplet Delivery Mass Spectrometry. Anal Chem 2016; 88:5453-61. [PMID: 27110027 PMCID: PMC5446058 DOI: 10.1021/acs.analchem.6b00881] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Abstract
We have developed a new ambient-ionization mass spectrometric technique named laser desorption/ionization droplet delivery mass spectrometry (LDIDD-MS). LDIDD-MS permits high-resolution, high-sensitivity imaging of tissue samples as well as measurements of both single-cell apoptosis and live-cell exocytosis. A pulsed (15 Hz) UV laser beam (266 nm) is focused on a surface covered with target analytes to trigger their desorption and ionization. A spray of liquid droplets is simultaneously directed onto the laser-focused surface region to capture the ionized analytes and deliver them to a mass spectrometer. The approach of rapid and effective capturing of molecules after laser desorption/ionization allows the limit of detection for the amino acid lysine to be as low as 2 amol under ambient ionization conditions. Two-dimensional maps of the desorbed/ionized species are recorded by moving the sample on an XY translational stage. The spatial resolution for imaging with LDIDD-MS was determined to be 2.4 μm for an ink-printed pattern and 3 μm for mouse brain tissue. We applied LDIDD-MS to single-cell analysis of apoptotic HEK cells. Differences were observed in the profiles of fatty acids and lipids between healthy HEK cells and those undergoing apoptosis. We observed upregulation of phosphatidylcholine (PC) with a relatively shorter carbon chain length and downregulation of PC with a relatively longer carbon chain length. We also applied LDIDD-MS for a real-time direct measurements of live-cell exocytosis. The catecholamine dopamine and trace amines (phenethylamine and tyramine) were detected from live PC12 cells without damaging them.
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Affiliation(s)
- Jae Kyoo Lee
- Department of Chemistry, Stanford University, Stanford, California 94305 United States
| | - Erik T. Jansson
- Department of Chemistry, Stanford University, Stanford, California 94305 United States
- Department of Chemistry – BMC, Uppsala University, SE-75124 Uppsala, Sweden
| | - Hong Gil Nam
- Center for Plant Aging Research, Institute for Basic Science, Daegu 711-873, Republic of Korea
- Department of New Biology, DGIST, Daegu 711-873, Republic of Korea
| | - Richard N. Zare
- Department of Chemistry, Stanford University, Stanford, California 94305 United States
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Ying L, Zhu H. Current advances in the functional studies of fatty acids and fatty acid-derived lipids in C. elegans. WORM 2016; 5:e1184814. [PMID: 27695652 DOI: 10.1080/21624054.2016.1184814] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/21/2015] [Revised: 04/18/2016] [Accepted: 04/26/2016] [Indexed: 02/08/2023]
Abstract
Fatty acids and fatty acid-derived lipids (FAs/FADLs) play essential roles in many living organisms, including contributions to membrane structure and signaling transduction. Aberrant metabolism of FAs/FADLs often causes diseases and health problems. However, the detailed mechanistic studies of specific FAs/FADLs in vivo are limited. C. elegans has been an effective model system for FA/ FADL studies due to its powerful genetics and conserved lipid biosynthetic pathways. The recently developed high-throughput analytic tools also enable sophisticated profiling of lipids molecules in C. elegans, which is critical for understanding their specific functions. Here we review a subset of current advances in FA/FADL functional studies in C. elegans.
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Affiliation(s)
- Lu Ying
- School of Life Science and Technology, ShanghaiTech University , Shanghai, China
| | - Huanhu Zhu
- School of Life Science and Technology, ShanghaiTech University , Shanghai, China
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Dong Y, Li B, Malitsky S, Rogachev I, Aharoni A, Kaftan F, Svatoš A, Franceschi P. Sample Preparation for Mass Spectrometry Imaging of Plant Tissues: A Review. FRONTIERS IN PLANT SCIENCE 2016; 7:60. [PMID: 26904042 PMCID: PMC4748743 DOI: 10.3389/fpls.2016.00060] [Citation(s) in RCA: 89] [Impact Index Per Article: 11.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/28/2015] [Accepted: 01/14/2016] [Indexed: 05/18/2023]
Abstract
Mass spectrometry imaging (MSI) is a mass spectrometry based molecular ion imaging technique. It provides the means for ascertaining the spatial distribution of a large variety of analytes directly on tissue sample surfaces without any labeling or staining agents. These advantages make it an attractive molecular histology tool in medical, pharmaceutical, and biological research. Likewise, MSI has started gaining popularity in plant sciences; yet, information regarding sample preparation methods for plant tissues is still limited. Sample preparation is a crucial step that is directly associated with the quality and authenticity of the imaging results, it therefore demands in-depth studies based on the characteristics of plant samples. In this review, a sample preparation pipeline is discussed in detail and illustrated through selected practical examples. In particular, special concerns regarding sample preparation for plant imaging are critically evaluated. Finally, the applications of MSI techniques in plants are reviewed according to different classes of plant metabolites.
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Affiliation(s)
- Yonghui Dong
- Biostatistics and Data Management, Research and Innovation Centre - Fondazione Edmund MachS. Michele all'Adige, Italy
- Department of Plant and Environmental Sciences, Weizmann Institute of ScienceRehovot, Israel
| | - Bin Li
- Department of Chemistry and Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-ChampaignUrbana, IL, USA
| | - Sergey Malitsky
- Department of Plant and Environmental Sciences, Weizmann Institute of ScienceRehovot, Israel
| | - Ilana Rogachev
- Department of Plant and Environmental Sciences, Weizmann Institute of ScienceRehovot, Israel
| | - Asaph Aharoni
- Department of Plant and Environmental Sciences, Weizmann Institute of ScienceRehovot, Israel
| | - Filip Kaftan
- Research Group Mass Spectrometry/Proteomics, Max Planck Institute for Chemical EcologyJena, Germany
| | - Aleš Svatoš
- Research Group Mass Spectrometry/Proteomics, Max Planck Institute for Chemical EcologyJena, Germany
| | - Pietro Franceschi
- Biostatistics and Data Management, Research and Innovation Centre - Fondazione Edmund MachS. Michele all'Adige, Italy
- *Correspondence: Pietro Franceschi
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O'Rourke MB, Djordjevic SP, Padula MP. A non-instrument-based method for the analysis of formalin-fixed paraffin-embedded human spinal cord via matrix-assisted laser desorption/ionisation imaging mass spectrometry. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2015; 29:1836-1840. [PMID: 26331935 DOI: 10.1002/rcm.7283] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/03/2015] [Revised: 07/15/2015] [Accepted: 07/16/2015] [Indexed: 06/05/2023]
Abstract
RATIONALE This paper, in conjunction with a work published earlier this year by O'Rourke et al., aims to provide a comprehensive set of protocols for the analysis of formalin-fixed paraffin-embedded (FFPE) tissue via matrix-assisted laser desorption/ionisation imaging mass spectrometry (MALDI IMS) in a low-cost and highly repeatable and robust way, thereby allowing other research teams to begin their own IMS-centered avenues of research. METHODS Samples of FFPE tissue were sectioned at 5 µm, water float mounted to specially prepared ITO glass slides and then dilipidated in a graded alcohol series. Tissue sections were then antigen retrieved under pressure in 20 mmol Tris-HCl (pH 8.8), coated with trypsin and digested O/N at 37°C. Samples were then sublimated with matrix to a final coverage of 0.2 mg/cm(2), recrystallised at 37°C with 50:50 acetonitrile (ACN)/0.1% trifluoroacetic acid (TFA) for 1 h and analysed with a MALDI TOF/TOF mass spectrometer. RESULTS Serial sections were imaged, revealing little to no variation with regards to image quality and corresponding spectra. We have also attempted to describe the processes that govern the various aspects of this protocol with respect to each step necessary to ensure reproducibility. CONCLUSIONS We are confident that this protocol in conjunction with the work published earlier by O'Rourke et al. provides the basis for a repeatable and robust protocol for the analysis of tissues from various sources via MALDI-IMS. The descriptions of key steps within allows for easy adoption of the protocol while allowing for desired modifications to be performed with minimal yet intuitive adjustment.
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Affiliation(s)
- Matthew B O'Rourke
- Proteomics Core Facility, University of Technology Sydney, Cnr Harris and Thomas St, Ultimo, NSW, 2007, Australia
| | - Steven P Djordjevic
- The iThree Institute, University of Technology Sydney, Cnr Harris and Thomas St, Ultimo, NSW, 2007, Australia
| | - Matthew P Padula
- Proteomics Core Facility, University of Technology Sydney, Cnr Harris and Thomas St, Ultimo, NSW, 2007, Australia
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Liu X, Hummon AB. Mass spectrometry imaging of therapeutics from animal models to three-dimensional cell cultures. Anal Chem 2015; 87:9508-19. [PMID: 26084404 PMCID: PMC4766864 DOI: 10.1021/acs.analchem.5b00419] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
Mass spectrometry imaging (MSI) is a powerful label-free technique for the investigation of the spatial distribution of molecules at complex surfaces and has been widely used in the pharmaceutical sciences to understand the distribution of different drugs and their metabolites in various biological samples, ranging from cell-based models to tissues. Here, we review the current applications of MSI for drug studies in animal models, followed by a discussion of the novel advances of MSI in three-dimensional (3D) cell cultures for accurate, efficient, and high-throughput analyses to evaluate therapeutics.
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Affiliation(s)
- Xin Liu
- Department of Chemistry and Biochemistry, Harper Cancer Research Institute, University of Notre Dame, 251 Nieuwland Science Hall, Notre Dame, IN 46556, USA
| | - Amanda B. Hummon
- Department of Chemistry and Biochemistry, Harper Cancer Research Institute, University of Notre Dame, 251 Nieuwland Science Hall, Notre Dame, IN 46556, USA
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He J, Luo Z, Huang L, He J, Chen Y, Rong X, Jia S, Tang F, Wang X, Zhang R, Zhang J, Shi J, Abliz Z. Ambient mass spectrometry imaging metabolomics method provides novel insights into the action mechanism of drug candidates. Anal Chem 2015; 87:5372-9. [PMID: 25874739 DOI: 10.1021/acs.analchem.5b00680] [Citation(s) in RCA: 61] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
Elucidation of the mechanism of action for drug candidates is fundamental to drug development, and it is strongly facilitated by metabolomics. Herein, we developed an imaging metabolomics method based on air-flow-assisted desorption electrospray ionization mass spectrometry imaging (AFADESI-MSI) under ambient conditions. This method was subsequently applied to simultaneously profile a novel anti-insomnia drug candidate, N(6)-(4-hydroxybenzyl)-adenosine (NHBA), and various endogenous metabolites in rat whole-body tissue sections after the administration of NHBA. The principal component analysis (PCA) represented by an intuitive color-coding scheme based on hyperspectral imaging revealed in situ molecular profiling alterations in response to stimulation of NHBA, which are in a very low intensity and hidden in massive interferential peaks. We found that the abundance of six endogenous metabolites changed after drug administration. The spatiotemporal distribution indicated that five altered molecules—including neurotransmitter γ-aminobutyric acid, neurotransmitter precursors choline and glycerophosphocholine, energy metabolism-related molecules adenosine (an endogenous sleep factor), and creatine—are closely associated with insomnia or other neurological disorders. These findings not only provide insights into a deep understanding on the mechanism of action of NHBA, but also demonstrate that the AFADESI-MSI-based imaging metabolomics is a powerful technique to investigate the molecular mechanism of drug action, especially for drug candidates with multitarget or undefined target in the preclinical study stage.
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Affiliation(s)
- Jingjing He
- †State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100050, People's Republic of China
| | - Zhigang Luo
- †State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100050, People's Republic of China
| | - Lan Huang
- §Institute of Laboratory Animal Science, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, People's Republic of China
| | - Jiuming He
- †State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100050, People's Republic of China
| | - Yi Chen
- ‡State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instruments and Mechanology, Tsinghua University, Beijing 100084, People's Republic of China
| | - Xianfang Rong
- †State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100050, People's Republic of China
| | - Shaobo Jia
- †State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100050, People's Republic of China
| | - Fei Tang
- ‡State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instruments and Mechanology, Tsinghua University, Beijing 100084, People's Republic of China
| | - Xiaohao Wang
- ‡State Key Laboratory of Precision Measurement Technology and Instruments, Department of Precision Instruments and Mechanology, Tsinghua University, Beijing 100084, People's Republic of China
| | - Ruiping Zhang
- †State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100050, People's Republic of China
| | - Jianjun Zhang
- †State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100050, People's Republic of China
| | - Jiangong Shi
- †State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100050, People's Republic of China
| | - Zeper Abliz
- †State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100050, People's Republic of China
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Wang X, Han J, Yang J, Pan J, Borchers CH. Matrix coating assisted by an electric field (MCAEF) for enhanced tissue imaging by MALDI-MS. Chem Sci 2015; 6:729-738. [PMID: 28706636 PMCID: PMC5494562 DOI: 10.1039/c4sc01850h] [Citation(s) in RCA: 29] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2014] [Accepted: 09/09/2014] [Indexed: 01/13/2023] Open
Abstract
A novel technique, termed matrix coating assisted by an electric field (MCAEF), for enhancing tissue imaging by matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) was developed in this study. In this technique a static and uniform electric field is applied to sliced tissue sections during matrix spray-coating, resulting in the enrichment of positively or negatively chargeable analytes in the MALDI matrix layer. Experimental results show that MCAEF not only increased the sensitivity of lipid and protein detection across the board in the subsequent MALDI-MS analyses, but also resulted in successful imaging of a larger number of analytes. MALDI imaging enhancement with MCAEF was observed for various tissues (rat liver, rat brain, and porcine adrenal gland) and with different MALDI matrices (e.g., quercetin, 2-mercaptobenzothiazole, dithranol, 9-aminoacridine, and sinapinic acid) and the sensitivity increases were independent of the solvent compositions and pH values of the matrix solutions. Taking rat brain as an example, MCAEF led to the on-tissue detection and imaging of 648 identified lipids by combining positive and negative ion detection by MALDI-Fourier transform ion cyclotron resonance MS and with quercetin as the matrix, as compared to only 344 lipids without MCAEF. For protein imaging, up to 232 protein signals were successfully detected in rat brain tissue sections by MALDI-time-of-flight MS within a mass range of 3500 to 37 000 Da, as compared to 119 without MCAEF. MCAEF also enabled the detection of higher molecular-weight proteins. These results demonstrate the advantages of MCAEF for overall performance improvements in MALDI imaging and we believe that this technique has the potential to become a standard practice for MALDI tissue imaging.
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Affiliation(s)
- Xiaodong Wang
- University of Victoria - Genome British Columbia Proteomics Centre , Vancouver Island Technology Park, #3101-4464 Markham St. , Victoria , BC V8Z 7X8 , Canada . ; ; Tel: +1-250-483-3221
| | - Jun Han
- University of Victoria - Genome British Columbia Proteomics Centre , Vancouver Island Technology Park, #3101-4464 Markham St. , Victoria , BC V8Z 7X8 , Canada . ; ; Tel: +1-250-483-3221
| | - Juncong Yang
- University of Victoria - Genome British Columbia Proteomics Centre , Vancouver Island Technology Park, #3101-4464 Markham St. , Victoria , BC V8Z 7X8 , Canada . ; ; Tel: +1-250-483-3221
| | - Jingxi Pan
- University of Victoria - Genome British Columbia Proteomics Centre , Vancouver Island Technology Park, #3101-4464 Markham St. , Victoria , BC V8Z 7X8 , Canada . ; ; Tel: +1-250-483-3221
| | - Christoph H Borchers
- University of Victoria - Genome British Columbia Proteomics Centre , Vancouver Island Technology Park, #3101-4464 Markham St. , Victoria , BC V8Z 7X8 , Canada . ; ; Tel: +1-250-483-3221
- Department of Biochemistry and Microbiology , University of Victoria , Petch Building Room 207, 3800 Finnerty Rd. , Victoria , BC V8P 5C2 , Canada
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Challenges and recent advances in mass spectrometric imaging of neurotransmitters. Bioanalysis 2014; 6:525-40. [PMID: 24568355 DOI: 10.4155/bio.13.341] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Mass spectrometric imaging (MSI) is a powerful tool that grants the ability to investigate a broad mass range of molecules, from small molecules to large proteins, by creating detailed distribution maps of selected compounds. To date, MSI has demonstrated its versatility in the study of neurotransmitters and neuropeptides of different classes toward investigation of neurobiological functions and diseases. These studies have provided significant insight in neurobiology over the years and current technical advances are facilitating further improvements in this field. Herein, we briefly review new MSI studies of neurotransmitters, focusing specifically on the challenges and recent advances of MSI of neurotransmitters.
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Veličković D, Ropartz D, Guillon F, Saulnier L, Rogniaux H. New insights into the structural and spatial variability of cell-wall polysaccharides during wheat grain development, as revealed through MALDI mass spectrometry imaging. JOURNAL OF EXPERIMENTAL BOTANY 2014; 65:2079-91. [PMID: 24600018 PMCID: PMC3991742 DOI: 10.1093/jxb/eru065] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
Arabinoxylans (AX) and (1→3),(1→4)-β-glucans (BG) are the major components of wheat grain cell walls. Although incompletely described at the molecular level, it is known that the chemical and distributional heterogeneity of these compounds impacts the quality and use of wheat. In this work, an emerging technique based on MALDI mass spectrometry imaging (MSI) was employed to map variations in the quantity, localization, and structure of these polysaccharides in the endosperm during wheat maturation. MALDI MSI couples detailed structural information with the spatial localization observed at the micrometer scale. The enzymic hydrolysis of AX and BG was performed directly on the grain sections, resulting in the efficient formation of smaller oligosaccharides that are easily measurable through MS, with no relocation across the grain. The relative quantification of the generated oligosaccharides was achieved. The method was validated by confirming data previously obtained using other analytical techniques. Furthermore, in situ analysis of grain cell walls through MSI revealed previously undetectable intense acetylation of AX in young compared to mature grains, together with findings concerning the feruloylation of AX and different structural features of BG. These results provide new insights into the physiological roles of these polysaccharides in cell walls and the specificity of the hydrolytic enzymes involved.
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Lin G, Chung YL. Current opportunities and challenges of magnetic resonance spectroscopy, positron emission tomography, and mass spectrometry imaging for mapping cancer metabolism in vivo. BIOMED RESEARCH INTERNATIONAL 2014; 2014:625095. [PMID: 24724090 PMCID: PMC3958648 DOI: 10.1155/2014/625095] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/19/2013] [Revised: 01/06/2014] [Accepted: 01/19/2014] [Indexed: 12/18/2022]
Abstract
Cancer is known to have unique metabolic features such as Warburg effect. Current cancer therapy has moved forward from cytotoxic treatment to personalized, targeted therapies, with some that could lead to specific metabolic changes, potentially monitored by imaging methods. In this paper we addressed the important aspects to study cancer metabolism by using image techniques, focusing on opportunities and challenges of magnetic resonance spectroscopy (MRS), dynamic nuclear polarization (DNP)-MRS, positron emission tomography (PET), and mass spectrometry imaging (MSI) for mapping cancer metabolism. Finally, we highlighted the future possibilities of an integrated in vivo PET/MR imaging systems, together with an in situ MSI tissue analytical platform, may become the ultimate technologies for unraveling and understanding the molecular complexities in some aspects of cancer metabolism. Such comprehensive imaging investigations might provide information on pharmacometabolomics, biomarker discovery, and disease diagnosis, prognosis, and treatment response monitoring for clinical medicine.
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Affiliation(s)
- Gigin Lin
- Department of Radiology, Chang Gung Memorial Hospital at Linkou, Chang Gung University, 5 Fuhsing Street, Guishan, Taoyuan 333, Taiwan
- Molecular Imaging Center, Chang Gung Memorial Hospital at Linkou, Chang Gung University, 5 Fuhsing Street, Guishan, Taoyuan 333, Taiwan
- Metabolomics Core Laboratory, Chang Gung Memorial Hospital at Linkou, Chang Gung University, 5 Fuhsing Street, Guishan, Taoyuan 333, Taiwan
| | - Yuen-Li Chung
- The Institute of Cancer Research and Royal Marsden Hospital, CRUK Cancer Imaging Centre, Downs Road, Sutton, Surrey SM2 5PT, UK
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