1
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Murakami M, Sun N, Li F, Feuchtinger A, Gomez-Sanchez C, Fassnacht M, Reincke M, Bancos I, Walch A, Kroiss M, Beuschlein F. In Situ Metabolomics of Cortisol-Producing Adenomas. Clin Chem 2023; 69:149-159. [PMID: 36544353 PMCID: PMC9898844 DOI: 10.1093/clinchem/hvac191] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 10/11/2022] [Indexed: 12/24/2022]
Abstract
BACKGROUND Recent advances in omics techniques have allowed detailed genetic characterization of cortisol-producing adrenal adenoma (CPA). In contrast, the pathophysiology of CPAs has not been elucidated in detail on the level of tumor metabolic alterations. METHODS The current study conducted a comprehensive mass spectrometry imaging (MSI) map of CPAs in relation to clinical phenotypes and immunohistochemical profiles of steroidogenic enzymes. The study cohort comprised 46 patients with adrenal tumors including CPAs (n 35) and nonfunctional adenomas (n 11). RESULTS Severity of cortisol hypersecretion was significantly correlated with 29 metabolites (adjusted P 0.05). Adrenal androgens derived from the classic androgen pathway were inversely correlated with both cortisol secretion (rs 0.41, adjusted P 0.035) and CYP11B1 expression (rs 0.77, adjusted P 2.00E-08). The extent of cortisol excess and tumor CYP11B1 expression further correlated with serotonin (rs 0.48 and 0.62, adjusted P 0.008 and 2.41E-05). Tumor size was found to be correlated with abundance of 13 fatty acids (adjusted P 0.05) and negatively associated with 9 polyunsaturated fatty acids including phosphatidic acid 38:8 (rs 0.56, adjusted P 0.009). CONCLUSIONS MSI reveals novel metabolic links between endocrine function and tumorigenesis, which will further support the understanding of CPA pathophysiology.
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Affiliation(s)
- Masanori Murakami
- Medizinische Klinik und Poliklinik IV, Klinikum der Universität, Ludwig-Maximilians-Universität München, Munich, Germany,Department of Molecular Endocrinology and Metabolism, Graduate School of Medical and Dental Sciences, Tokyo Medical and Dental University, Tokyo, Japan
| | - Na Sun
- Research Unit Analytical Pathology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Fengxia Li
- Research Unit Analytical Pathology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany,Department of Neuro- and Sensory Physiology, University Medical Center Göttingen, Göttingen, Germany
| | - Annette Feuchtinger
- Research Unit Analytical Pathology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Celso Gomez-Sanchez
- Division of Endocrinology, G.V. (Sonny) Montgomery VA Medical Center and the University of Mississippi Medical Center, Jackson, Mississippi, USA
| | - Martin Fassnacht
- Department of Internal Medicine I, Division of Endocrinology and Diabetology, University Hospital Würzburg, University of Würzburg, Würzburg, Germany
| | - Martin Reincke
- Medizinische Klinik und Poliklinik IV, Klinikum der Universität, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Irina Bancos
- Division of Endocrinology, Mayo Clinic, Rochester, Minnesota, USA
| | - Axel Walch
- Research Unit Analytical Pathology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Matthias Kroiss
- Medizinische Klinik und Poliklinik IV, Klinikum der Universität, Ludwig-Maximilians-Universität München, Munich, Germany,Department of Internal Medicine I, Division of Endocrinology and Diabetology, University Hospital Würzburg, University of Würzburg, Würzburg, Germany,Comprehensive Cancer Center Mainfranken, University of Würzburg, Würzburg, Germany
| | - Felix Beuschlein
- Medizinische Klinik und Poliklinik IV, Klinikum der Universität, Ludwig-Maximilians-Universität München, Munich, Germany,Department of Endocrinology, Diabetology and Clinical Nutrition, University Hospital Zurich (USZ) and University of Zurich (UZH), Zurich, Switzerland
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2
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Zhang Q, Wang G, Sun D, Lin W, Yan T, Wu Y, Wu M, Chen J, Zou S, Xie W, Zhou Y, Wang Y, He L, Liu Y, Qiu Z, Hu L, Lin B, Zhou X, Li Y, Xu X. MALDI-TOF-MS for Rapid Screening and Typing of β-Globin Variant and β-Thalassemia through Direct Measurements of Intact Globin Chains. Clin Chem 2022; 68:1541-1551. [PMID: 36226750 DOI: 10.1093/clinchem/hvac151] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 07/18/2022] [Indexed: 11/14/2022]
Abstract
BACKGROUND Traditional phenotype-based screening for β-globin variant and β-thalassemia using hematological parameters is time-consuming with low-resolution detection. Development of a MALDI-TOF-MS assay using alternative markers is needed. METHODS We constructed a MALDI-TOF-MS-based approach for identifying various β-globin disorders and classifying thalassemia major (TM) and thalassemia intermedia (TI) patients using 901 training samples with known HBB/HBA genotypes. We then validated the accuracy of population screening and clinical classification in 2 separate cohorts consisting of 16 172 participants and 201 β-thalassemia patients. Traditional methods were used as controls. Genetic tests were considered the gold standard for testing positive specimens. RESULTS We established a prediction model for identifying different forms of β-globin disorders in a single MALDI-TOF-MS test based on δ- to β-globin, γ- to α-globin, γ- to β-globin ratios, and/or the abnormal globin-chain patterns. Our validation study yielded comparable results of clinical specificity (99.89% vs 99.71%), and accuracy (99.78% vs 99.16%) between the new assay and traditional methods but higher clinical sensitivity for the new method (97.52% vs 88.01%). The new assay identified 22 additional abnormal hemoglobins in 69 individuals including 9 novel ones, and accurately screened for 9 carriers of deletional hereditary persistence of fetal hemoglobin or δβ-thalassemia. TM and TI were well classified in 178 samples out of 201 β-thalassemia patients. CONCLUSIONS MALDI-TOF-MS is a highly accurate, predictive tool that could be suitable for large-scale screening and clinical classification of β-globin disorders.
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Affiliation(s)
- Qianqian Zhang
- Department of Medical Genetics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China.,Innovative Research Center for Diagnosis and Therapy of Thalassemias, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
| | - Ge Wang
- Department of Clinical Laboratory, Zhuhai Women and Children's Hospital, Zhuhai, Guangdong, China
| | - Dehui Sun
- Research and Development Center, Intelligene Biosystems (Qingdao) Co., Ltd., Qingdao, Shandong, China
| | - Wanying Lin
- Department of Medical Genetics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China
| | - Tizhen Yan
- Department of Medical Genetics, Liuzhou Key Laboratory of Reproductive Medicine, Liuzhou Maternity and Child Healthcare Hospital, Liuzhou, Guangxi, China
| | - Yuanjun Wu
- Department of Transfusion, Dongguan Maternal and Child Health Care Hospital, Dongguan, Guangdong, China
| | - Meiying Wu
- Department of Clinical Laboratory, Huidong Women and Children's Hospital, Huizhou, Guangdong, China
| | - Jianhong Chen
- Department of Medical Genetics and Prenatal Diagnosis, Huizhou First Maternal and Child Health Care Hospital, Huizhou, Guangdong, China
| | - Shaomin Zou
- Department of Medical Genetics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China
| | - Wenchun Xie
- Key Laboratory of Interdisciplinary Research, Institute of Biophysics of Chinese Academy of Sciences, Beijing, China.,Department of Biomedicine, Bioland Laboratory, Guangzhou, Guangdong, China
| | - Yuqiu Zhou
- Department of Clinical Laboratory, Zhuhai Women and Children's Hospital, Zhuhai, Guangdong, China
| | - Yuxi Wang
- Research and Development Center, Intelligene Biosystems (Qingdao) Co., Ltd., Qingdao, Shandong, China
| | - Linlin He
- Center for Marriage and Childbirth, Liuzhou Maternity and Child Healthcare Hospital, Liuzhou, Guangxi, China
| | - Yanhui Liu
- Department of Prenatal Diagnosis, Dongguan Institute of Reproductive and Genetic Research, Dongguan Maternal and Child Health Care Hospital, Dongguan, Guangdong, China
| | - Zhenxiong Qiu
- Department of Clinical Laboratory, Huidong Women and Children's Hospital, Huizhou, Guangdong, China
| | - Lingling Hu
- Department of Clinical Laboratory, Zhuhai Women and Children's Hospital, Zhuhai, Guangdong, China
| | - Bin Lin
- Genetics Laboratory, Guangzhou Huayin Healthcare Group Co., Ltd., Guangzhou, Guangdong, China.,Genetics Laboratory, Guangzhou Jiexu Gene Technology Co., Ltd., Guangzhou 510530, Guangdong, China
| | - Xiaoguang Zhou
- Research and Development Center, Intelligene Biosystems (Qingdao) Co., Ltd., Qingdao, Shandong, China
| | - Yan Li
- Key Laboratory of Interdisciplinary Research, Institute of Biophysics of Chinese Academy of Sciences, Beijing, China.,Department of Biomedicine, Bioland Laboratory, Guangzhou, Guangdong, China.,College of Life Sciences, University of Chinese Academy of Sciences, Beijing, China
| | - Xiangmin Xu
- Department of Medical Genetics, School of Basic Medical Sciences, Southern Medical University, Guangzhou, Guangdong, China.,Innovative Research Center for Diagnosis and Therapy of Thalassemias, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China
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3
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Maia M, Figueiredo A, Cordeiro C, Sousa Silva M. FT-ICR-MS-based metabolomics: A deep dive into plant metabolism. MASS SPECTROMETRY REVIEWS 2021. [PMID: 34545595 DOI: 10.1002/mas.21731] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/07/2021] [Revised: 08/30/2021] [Accepted: 09/09/2021] [Indexed: 06/13/2023]
Abstract
Metabolomics involves the identification and quantification of metabolites to unravel the chemical footprints behind cellular regulatory processes and to decipher metabolic networks, opening new insights to understand the correlation between genes and metabolites. In plants, it is estimated the existence of hundreds of thousands of metabolites and the majority is still unknown. Fourier transform ion cyclotron resonance mass spectrometry (FT-ICR-MS) is a powerful analytical technique to tackle such challenges. The resolving power and sensitivity of this ultrahigh mass accuracy mass analyzer is such that a complex mixture, such as plant extracts, can be analyzed and thousands of metabolite signals can be detected simultaneously and distinguished based on the naturally abundant elemental isotopes. In this review, FT-ICR-MS-based plant metabolomics studies are described, emphasizing FT-ICR-MS increasing applications in plant science through targeted and untargeted approaches, allowing for a better understanding of plant development, responses to biotic and abiotic stresses, and the discovery of new natural nutraceutical compounds. Improved metabolite extraction protocols compatible with FT-ICR-MS, metabolite analysis methods and metabolite identification platforms are also explored as well as new in silico approaches. Most recent advances in MS imaging are also discussed.
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Affiliation(s)
- Marisa Maia
- Departamento de Química e Bioquímica, Laboratório de FTICR e Espectrometria de Massa Estrutural, MARE-Marine and Environmental Sciences Centre, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
- Departamento de Biologia Vegetal, Faculdade de Ciências, Grapevine Pathogen Systems Lab (GPS Lab), Biosystems and Integrative Sciences Institute (BioISI), Universidade de Lisboa, Lisboa, Portugal
| | - Andreia Figueiredo
- Departamento de Biologia Vegetal, Faculdade de Ciências, Grapevine Pathogen Systems Lab (GPS Lab), Biosystems and Integrative Sciences Institute (BioISI), Universidade de Lisboa, Lisboa, Portugal
| | - Carlos Cordeiro
- Departamento de Química e Bioquímica, Laboratório de FTICR e Espectrometria de Massa Estrutural, MARE-Marine and Environmental Sciences Centre, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
| | - Marta Sousa Silva
- Departamento de Química e Bioquímica, Laboratório de FTICR e Espectrometria de Massa Estrutural, MARE-Marine and Environmental Sciences Centre, Faculdade de Ciências, Universidade de Lisboa, Lisboa, Portugal
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4
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Harvey DJ. ANALYSIS OF CARBOHYDRATES AND GLYCOCONJUGATES BY MATRIX-ASSISTED LASER DESORPTION/IONIZATION MASS SPECTROMETRY: AN UPDATE FOR 2015-2016. MASS SPECTROMETRY REVIEWS 2021; 40:408-565. [PMID: 33725404 DOI: 10.1002/mas.21651] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Accepted: 07/24/2020] [Indexed: 06/12/2023]
Abstract
This review is the ninth update of the original article published in 1999 on the application of matrix-assisted laser desorption/ionization (MALDI) mass spectrometry to the analysis of carbohydrates and glycoconjugates and brings coverage of the literature to the end of 2016. Also included are papers that describe methods appropriate to analysis by MALDI, such as sample preparation techniques, even though the ionization method is not MALDI. 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. The reported work shows increasing use of combined new techniques such as ion mobility and the enormous impact that MALDI imaging is having. MALDI, although invented over 30 years ago is still an ideal technique for carbohydrate analysis and advancements in the technique and range of applications show no sign of deminishing. © 2020 Wiley Periodicals, Inc.
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Affiliation(s)
- David J Harvey
- Nuffield Department of Medicine, Target Discovery Institute, University of Oxford, Roosevelt Drive, Oxford, OX3 7FZ, United Kingdom
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5
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Gomez-Gomez A, Sabbaghi M, Haro N, Albanell J, Menéndez S, González M, Gil-Gómez G, Rovira A, Pozo OJ. Targeted metabolomics in formalin-fixed paraffin-embedded tissue specimens: Liquid chromatography-tandem mass spectrometry determination of acidic metabolites in cancer research. Talanta 2020; 223:121740. [PMID: 33298266 DOI: 10.1016/j.talanta.2020.121740] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Revised: 10/02/2020] [Accepted: 10/05/2020] [Indexed: 11/18/2022]
Abstract
Formalin-fixed paraffin-embedded (FFPE) tissues play an irreplaceable role in cancer research. Although extensive research has been conducted for the detection of DNA, RNA and proteins in FFPE samples, literature dealing with the FFPE determination of small molecules is scarce. In this study, we aimed to explore the potential of targeted metabolomics in FFPE specimens. For that purpose, we developed a LC-MS/MS method for the quantification of acidic metabolites in FFPE samples. The method involves trimming tissue slices from FFPE blocks, deparaffinization, lysis of the tissue, o-benzyl hydroxylamine derivatization and LC-MS/MS detection. Deparaffinization and lysis steps were optimized to maximize the analytes extraction and to minimize the effect of the ubiquitous presence of some metabolites in the paraffin. Two validation approaches were applied: (i) using blank paraffin as matrix and (ii) using actual human FFPE tissue samples by standard additions. The method quantified 40 metabolites with appropriate accuracy (commonly 80-120%) and precision (CV 2-19%) in both validation approaches. LLOQs ranging 0.88-2001 pg mg-1 with low-moderate matrix effects (commonly 85-115%) were obtained. FFPE samples from 15 patients with colorectal cancer were analyzed and metabolites concentrations in tumor vs matched normal FFPE tissues were compared. Results show that tumor tissues have a well-established fingerprint including an increase in ketogenesis, a decrease in lipogenesis and an imbalance in the tricarboxylic acid cycle.
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Affiliation(s)
- Alex Gomez-Gomez
- Integrative Pharmacology & Systems Neuroscience Group, IMIM (Hospital del Mar Medical Research Institute), Carrer Doctor Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (CEXS-UPF), Carrer Doctor Aiguader 88, 08003, Barcelona, Spain
| | - MohammadA Sabbaghi
- Cancer Research Program, IMIM (Hospital del Mar Medical Research Institute), Carrer Doctor Aiguader 88, 08003, Barcelona, Spain
| | - Noemí Haro
- Integrative Pharmacology & Systems Neuroscience Group, IMIM (Hospital del Mar Medical Research Institute), Carrer Doctor Aiguader 88, 08003, Barcelona, Spain
| | - Joan Albanell
- Universitat Pompeu Fabra (CEXS-UPF), Carrer Doctor Aiguader 88, 08003, Barcelona, Spain; Cancer Research Program, IMIM (Hospital del Mar Medical Research Institute), Carrer Doctor Aiguader 88, 08003, Barcelona, Spain; Medical Oncology Department, Hospital del Mar, Passeig Marítim de la Barcelona, 25-29, 08003, Barcelona, Spain; CIBERONC, Hospital del Mar, Passeig Marítim de la Barcelona, 25-29, 08003, Barcelona, Spain
| | - Silvia Menéndez
- Cancer Research Program, IMIM (Hospital del Mar Medical Research Institute), Carrer Doctor Aiguader 88, 08003, Barcelona, Spain
| | - Mónica González
- Department of Pathology, Hospital del Mar, Passeig Marítim de la Barcelona, 25-29, 08003, Barcelona, Spain
| | - Gabriel Gil-Gómez
- Gastroesophageal Carcinogenesis Group, IMIM (Hospital del Mar Medical Research Institute), Carrer Doctor Aiguader 88, 08003, Barcelona, Spain
| | - Ana Rovira
- Cancer Research Program, IMIM (Hospital del Mar Medical Research Institute), Carrer Doctor Aiguader 88, 08003, Barcelona, Spain; Medical Oncology Department, Hospital del Mar, Passeig Marítim de la Barcelona, 25-29, 08003, Barcelona, Spain; CIBERONC, Hospital del Mar, Passeig Marítim de la Barcelona, 25-29, 08003, Barcelona, Spain
| | - Oscar J Pozo
- Integrative Pharmacology & Systems Neuroscience Group, IMIM (Hospital del Mar Medical Research Institute), Carrer Doctor Aiguader 88, 08003, Barcelona, Spain.
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6
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Blutke A, Sun N, Xu Z, Buck A, Harrison L, Schriever SC, Pfluger PT, Wiles D, Kunzke T, Huber K, Schlegel J, Aichler M, Feuchtinger A, Matiasek K, Hauck SM, Walch A. Light sheet fluorescence microscopy guided MALDI-imaging mass spectrometry of cleared tissue samples. Sci Rep 2020; 10:14461. [PMID: 32879402 PMCID: PMC7468256 DOI: 10.1038/s41598-020-71465-1] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Accepted: 08/10/2020] [Indexed: 02/08/2023] Open
Abstract
Light sheet fluorescence microscopy (LSFM) of optically cleared biological samples represents a powerful tool to analyze the 3-dimensional morphology of tissues and organs. Multimodal combinations of LSFM with additional analyses of the identical sample help to limit the consumption of restricted specimen and reduce inter-sample variation. Here, we demonstrate the proof-of-concept that LSFM of cleared brain tissue samples can be combined with Matrix Assisted Laser Desorption/Ionization-Mass Spectrometry Imaging (MALDI-MSI) for detection and quantification of proteins. Samples of freshly dissected murine brain and of archived formalin-fixed paraffin-embedded (FFPE) human brain tissue were cleared (3DISCO). Tissue regions of interest were defined by LSFM and excised, (re)-embedded in paraffin, and sectioned. Mouse sections were coated with sinapinic acid matrix. Human brain sections were pre-digested with trypsin and coated with α-cyano-4-hydroxycinnamic acid matrix. Subsequently, sections were subjected to MALDI-time-of-flight (TOF)-MSI in mass ranges between 0.8 to 4 kDa (human tissue sections), or 2.5–25 kDa (mouse tissue sections) with a lateral resolution of 50 µm. Protein- and peptide-identities corresponding to acquired MALDI-MSI spectra were confirmed by parallel liquid chromatography tandem mass spectrometry (LC–MS/MS) analysis. The spatial abundance- and intensity-patterns of established marker proteins detected by MALDI-MSI were also confirmed by immunohistochemistry.
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Affiliation(s)
- Andreas Blutke
- Research Unit Analytical Pathology, Helmholtz Zentrum München, 8576, Neuherberg, Germany
| | - Na Sun
- Research Unit Analytical Pathology, Helmholtz Zentrum München, 8576, Neuherberg, Germany
| | - Zhihao Xu
- Research Unit Analytical Pathology, Helmholtz Zentrum München, 8576, Neuherberg, Germany
| | - Achim Buck
- Research Unit Analytical Pathology, Helmholtz Zentrum München, 8576, Neuherberg, Germany
| | - Luke Harrison
- Research Unit Neurobiology of Diabetes, Helmholtz Zentrum München, 85764, Neuherberg, Germany.,Institute for Diabetes and Obesity, Helmholtz Zentrum München, 85764, Neuherberg, Germany.,German Center for Diabetes Research (DZD), 85764, Neuherberg, Germany.,Division of Metabolic Diseases, Technische Universität München, 80333, Munich, Germany
| | - Sonja C Schriever
- Research Unit Neurobiology of Diabetes, Helmholtz Zentrum München, 85764, Neuherberg, Germany.,Institute for Diabetes and Obesity, Helmholtz Zentrum München, 85764, Neuherberg, Germany.,German Center for Diabetes Research (DZD), 85764, Neuherberg, Germany
| | - Paul T Pfluger
- Research Unit Neurobiology of Diabetes, Helmholtz Zentrum München, 85764, Neuherberg, Germany.,Institute for Diabetes and Obesity, Helmholtz Zentrum München, 85764, Neuherberg, Germany.,German Center for Diabetes Research (DZD), 85764, Neuherberg, Germany
| | | | - Thomas Kunzke
- Research Unit Analytical Pathology, Helmholtz Zentrum München, 8576, Neuherberg, Germany
| | - Katharina Huber
- Research Unit Analytical Pathology, Helmholtz Zentrum München, 8576, Neuherberg, Germany
| | - Jürgen Schlegel
- Institute for Pathology, Department of Neuropathology, Technische Universität München, 80333, Munich, Germany
| | - Michaela Aichler
- Research Unit Analytical Pathology, Helmholtz Zentrum München, 8576, Neuherberg, Germany
| | - Annette Feuchtinger
- Research Unit Analytical Pathology, Helmholtz Zentrum München, 8576, Neuherberg, Germany.
| | - Kaspar Matiasek
- Institute for Veterinary Pathology at the Centre for Clinical Veterinary Medicine, Ludwig-Maximilians-Universität München, 80539, Munich, Germany
| | - Stefanie M Hauck
- Research Unit for Protein Science, Helmholtz Zentrum München, 85764, Neuherberg, Germany
| | - Axel Walch
- Research Unit Analytical Pathology, Helmholtz Zentrum München, 8576, Neuherberg, Germany
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7
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The choice of tissue fixative is a key determinant for mass spectrometry imaging based tumor metabolic reprogramming characterization. Anal Bioanal Chem 2020; 412:3123-3134. [PMID: 32236659 DOI: 10.1007/s00216-020-02562-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2019] [Revised: 02/03/2020] [Accepted: 02/28/2020] [Indexed: 12/12/2022]
Abstract
The application of mass spectrometry imaging (MSI) for the study of spatiotemporal alterations of the metabolites in tumors has brought a number of significant biological results. At present, metabolite profiling based on MSI is typically performed on frozen tissue sections; however, the majority of clinical specimens need to be fixed in tissue fixative to avoid autolysis and to preserve antigenicity. In this study, we present the global impacts of different fixatives on the MS imaging of gastric cancer tissue metabolites. The MSI performances of 17 kinds of metabolites, such as amino acids, polyamines, cholines, organic acids, polypeptides, nucleotides, nucleosides, nitrogen bases, cholesterols, fatty acids, and phospholipids, in untreated, 10% formalin-, 4% paraformaldehyde-, acetone-, and 95% ethanol-fixed gastric cancer tissues were thoroughly explored for the first time. Furthermore, we also investigated the spatial expressions of 6 metabolic enzymes, namely, GLS, FASN, CHKA, PLD2, cPLA2, and EGFR, closely related to tumor-associated metabolites. Immunohistochemical staining carried out on the same tissue sections' which have undergone MSI analysis' suggests that enzymatic characterization is feasible after metabolite imaging. Combining the spatial signatures of metabolites and pathway-related metabolic enzymes in heterogeneous tumor tissues offers an insight to understand the complex tumor metabolism. Graphical abstract.
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8
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Claes BSR, Takeo E, Fukusaki E, Shimma S, Heeren RMA. Imaging Isomers on a Biological Surface: A Review. Mass Spectrom (Tokyo) 2019; 8:A0078. [PMID: 32158629 PMCID: PMC7035452 DOI: 10.5702/massspectrometry.a0078] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2019] [Accepted: 10/31/2019] [Indexed: 12/30/2022] Open
Abstract
Mass spectrometry imaging is an imaging technology that allows the localization and identification of molecules on (biological) sample surfaces. Obtaining the localization of a compound in tissue is of great value in biological research. Yet, the identification of compounds remains a challenge. Mass spectrometry alone, even with high-mass resolution, cannot always distinguish between the subtle structural differences of isomeric compounds. This review discusses recent advances in mass spectrometry imaging of lipids, steroid hormones, amino acids and proteins that allow imaging with isomeric resolution. These improvements in detailed identification can give new insights into the local biological activity of isomers.
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Affiliation(s)
- Britt S. R. Claes
- Maastricht MultiModal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry (IMS), Maastricht University
| | - Emi Takeo
- Department of Biotechnology, Graduate School of Engineering, Osaka University
| | - Eiichiro Fukusaki
- Department of Biotechnology, Graduate School of Engineering, Osaka University
| | - Shuichi Shimma
- Department of Biotechnology, Graduate School of Engineering, Osaka University
| | - Ron M. A. Heeren
- Maastricht MultiModal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry (IMS), Maastricht University
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9
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Lin H, Zeng X, Wang Q, Li Y, Sun B, Wang Y, Wang H. Identification and imaging of indole-3-carboxamide cannabinoids in hair using matrix-assisted laser-desorption/ionization mass spectrometry. Forensic Toxicol 2019. [DOI: 10.1007/s11419-019-00510-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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10
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Yin L, Zhang Z, Liu Y, Gao Y, Gu J. Recent advances in single-cell analysis by mass spectrometry. Analyst 2019; 144:824-845. [PMID: 30334031 DOI: 10.1039/c8an01190g] [Citation(s) in RCA: 81] [Impact Index Per Article: 13.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Cells are the most basic structural units that play vital roles in the functioning of living organisms. Analysis of the chemical composition and content of a single cell plays a vital role in ensuring precise investigations of cellular metabolism, and is a crucial aspect of lipidomic and proteomic studies. In addition, structural knowledge provides a better understanding of cell behavior as well as the cellular and subcellular mechanisms. However, single-cell analysis can be very challenging due to the very small size of each cell as well as the large variety and extremely low concentrations of substances found in individual cells. On account of its high sensitivity and selectivity, mass spectrometry holds great promise as an effective technique for single-cell analysis. Numerous mass spectrometric techniques have been developed to elucidate the molecular profiles at the cellular level, including electrospray ionization mass spectrometry (ESI-MS), secondary ion mass spectrometry (SIMS), laser-based mass spectrometry and inductively coupled plasma mass spectrometry (ICP-MS). In this review, the recent advances in single-cell analysis by mass spectrometry are summarized. The strategies of different ionization modes to achieve single-cell analysis are classified and discussed in detail.
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Affiliation(s)
- Lei Yin
- Research Institute of Translational Medicine, The First Hospital of Jilin University, Jilin University, Dongminzhu Street, Changchun 130061, PR China.
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11
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Papathomas TG, Sun N, Chortis V, Taylor AE, Arlt W, Richter S, Eisenhofer G, Ruiz-Babot G, Guasti L, Walch AK. Novel methods in adrenal research: a metabolomics approach. Histochem Cell Biol 2019; 151:201-216. [PMID: 30725173 DOI: 10.1007/s00418-019-01772-w] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/01/2019] [Indexed: 02/07/2023]
Abstract
Metabolic alterations have implications in a spectrum of tissue functions and disease. Aided by novel molecular biological and computational tools, our understanding of physiological and pathological processes underpinning endocrine and endocrine-related disease has significantly expanded over the last decade. Herein, we focus on novel metabolomics-related methodologies in adrenal research: in situ metabolomics by mass spectrometry imaging, steroid metabolomics by gas and liquid chromatography-mass spectrometry, energy pathway metabologenomics by liquid chromatography-mass spectrometry-based metabolomics of Krebs cycle intermediates, and cellular reprogramming to generate functional steroidogenic cells and hence to modulate the steroid metabolome. All four techniques to assess and/or modulate the metabolome in biological systems provide tremendous opportunities to manage neoplastic and non-neoplastic disease of the adrenal glands in the era of precision medicine. In this context, we discuss emerging clinical applications and/or promising metabolic-driven research towards diagnostic, prognostic, predictive and therapeutic biomarkers in tumours arising from the adrenal gland and extra-adrenal paraganglia as well as modern approaches to delineate and reprogram adrenal metabolism.
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Affiliation(s)
- Thomas G Papathomas
- Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK
- Research Unit Analytical Pathology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Na Sun
- Research Unit Analytical Pathology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany
| | - Vasileios Chortis
- Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK
- Centre for Endocrinology, Diabetes and Metabolism, Birmingham Health Partners, Birmingham, UK
| | - Angela E Taylor
- Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK
- Centre for Endocrinology, Diabetes and Metabolism, Birmingham Health Partners, Birmingham, UK
| | - Wiebke Arlt
- Institute of Metabolism and Systems Research, University of Birmingham, Birmingham, UK
- Centre for Endocrinology, Diabetes and Metabolism, Birmingham Health Partners, Birmingham, UK
| | - Susan Richter
- Faculty of Medicine Carl Gustav Carus, School of Medicine, Technische Universität Dresden, Dresden, Germany
- Institute of Clinical Chemistry and Laboratory Medicine, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
| | - Graeme Eisenhofer
- Faculty of Medicine Carl Gustav Carus, School of Medicine, Technische Universität Dresden, Dresden, Germany
- Institute of Clinical Chemistry and Laboratory Medicine, University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany
- Department of Internal Medicine III, Technische Universität Dresden, University Hospital Carl Gustav Carus, Dresden, Germany
| | - Gerard Ruiz-Babot
- Department of Internal Medicine III, Technische Universität Dresden, University Hospital Carl Gustav Carus, Dresden, Germany
- Division of Endocrinology, Boston Children's Hospital, Harvard Medical School, Boston, USA
- Centre for Endocrinology, William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Leonardo Guasti
- Centre for Endocrinology, William Harvey Research Institute, Barts and the London School of Medicine and Dentistry, Queen Mary University of London, London, UK
| | - Axel Karl Walch
- Research Unit Analytical Pathology, Helmholtz Zentrum München, German Research Center for Environmental Health (GmbH), Neuherberg, Germany.
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12
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Schulz S, Becker M, Groseclose MR, Schadt S, Hopf C. Advanced MALDI mass spectrometry imaging in pharmaceutical research and drug development. Curr Opin Biotechnol 2019; 55:51-59. [DOI: 10.1016/j.copbio.2018.08.003] [Citation(s) in RCA: 115] [Impact Index Per Article: 19.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2018] [Revised: 07/21/2018] [Accepted: 08/03/2018] [Indexed: 12/20/2022]
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13
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Dilillo M, de Graaf EL, Yadav A, Belov ME, McDonnell LA. Ultraviolet Photodissociation of ESI- and MALDI-Generated Protein Ions on a Q-Exactive Mass Spectrometer. J Proteome Res 2018; 18:557-564. [PMID: 30484663 DOI: 10.1021/acs.jproteome.8b00896] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/29/2023]
Abstract
The identification of molecular ions produced by MALDI or ESI strongly relies on their fragmentation to structurally informative fragments. The widely diffused fragmentation techniques for ESI multiply charged ions are either incompatible (ECD and ETD) or show lower efficiency (CID, HCD), with the predominantly singly charged peptide and protein ions formed by MALDI. In-source decay has been successfully adopted to sequence MALDI-generated ions, but it further increases spectral complexity, and it is not compatible with mass-spectrometry imaging. Excellent UVPD performances, in terms of number of fragment ions and sequence coverage, has been demonstrated for electrospray ionization for multiple proteomics applications. UVPD showed a much lower charge-state dependence, and so protein ions produced by MALDI may exhibit equal propensity to fragment. Here we report UVPD implementation on an Orbitrap Q-Exactive Plus mass spectrometer equipped with an ESI/EP-MALDI. UVPD of MALDI-generated ions was benchmarked against MALDI-ISD, MALDI-HCD, and ESI-UVPD. MALDI-UVPD outperformed MALDI-HCD and ISD, efficiently sequencing small proteins ions. Moreover, the singly charged nature of MALDI-UVPD avoids the bioinformatics challenges associated with highly congested ESI-UVPD mass spectra. Our results demonstrate the ability of UVPD to further improve tandem mass spectrometry capabilities for MALDI-generated protein ions. Data are available via ProteomeXchange with identifier PXD011526.
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Affiliation(s)
- Marialaura Dilillo
- Fondazione Pisana per la Scienza ONLUS , 56107 San Giuliano Terme, Pisa , Italy
| | - Erik L de Graaf
- Fondazione Pisana per la Scienza ONLUS , 56107 San Giuliano Terme, Pisa , Italy
| | - Avinash Yadav
- Fondazione Pisana per la Scienza ONLUS , 56107 San Giuliano Terme, Pisa , Italy.,Scuola Normale Superiore di Pisa , 56126 Pisa , Italy
| | - Mikhail E Belov
- Spectroglyph LLC , Kennewick , Washington 99338 , United States
| | - Liam A McDonnell
- Fondazione Pisana per la Scienza ONLUS , 56107 San Giuliano Terme, Pisa , Italy.,Center for Proteomics and Metabolomics , Leiden University Medical Center , 2333 ZA Leiden , The Netherlands
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14
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Mascini NE, Teunissen J, Noorlag R, Willems SM, Heeren RM. Tumor classification with MALDI-MSI data of tissue microarrays: A case study. Methods 2018; 151:21-27. [DOI: 10.1016/j.ymeth.2018.04.004] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2017] [Revised: 03/04/2018] [Accepted: 04/09/2018] [Indexed: 11/25/2022] Open
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15
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Laíns I, Gantner M, Murinello S, Lasky-Su JA, Miller JW, Friedlander M, Husain D. Metabolomics in the study of retinal health and disease. Prog Retin Eye Res 2018; 69:57-79. [PMID: 30423446 DOI: 10.1016/j.preteyeres.2018.11.002] [Citation(s) in RCA: 100] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2018] [Revised: 10/06/2018] [Accepted: 11/07/2018] [Indexed: 02/06/2023]
Abstract
Metabolomics is the qualitative and quantitative assessment of the metabolites (small molecules < 1.5 kDa) in body fluids. The metabolites are the downstream of the genetic transcription and translation processes and also downstream of the interactions with environmental exposures; thus, they are thought to closely relate to the phenotype, especially for multifactorial diseases. In the last decade, metabolomics has been increasingly used to identify biomarkers in disease, and it is currently recognized as a very powerful tool with great potential for clinical translation. The metabolome and the associated pathways also help improve our understanding of the pathophysiology and mechanisms of disease. While there has been increasing interest and research in metabolomics of the eye, the application of metabolomics to retinal diseases has been limited, even though these are leading causes of blindness. In this manuscript, we perform a comprehensive summary of the tools and knowledge required to perform a metabolomics study, and we highlight essential statistical methods for rigorous study design and data analysis. We review available protocols, summarize the best approaches, and address the current unmet need for information on collection and processing of tissues and biofluids that can be used for metabolomics of retinal diseases. Additionally, we critically analyze recent work in this field, both in animal models and in human clinical disease, including diabetic retinopathy and age-related macular degeneration. Finally, we identify opportunities for future research applying metabolomics to improve our current assessment and understanding of mechanisms of vitreoretinal diseases, and to hence improve patient assessment and care.
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Affiliation(s)
- Inês Laíns
- Retina Service, Massachusetts Eye and Ear, Harvard Medical School, 243 Charles Street, Boston, MA, 02114, United States; Faculty of Medicine, University of Coimbra, 3000 Coimbra, Portugal.
| | - Mari Gantner
- Lowy Medical Research Institute, La Jolla, CA, 92037, United States; Scripps Research Institute, La Jolla, CA, 92037, United States.
| | - Salome Murinello
- Lowy Medical Research Institute, La Jolla, CA, 92037, United States; Scripps Research Institute, La Jolla, CA, 92037, United States.
| | - Jessica A Lasky-Su
- Systems Genetics and Genomics Unit, Channing Division of Network Medicine Brigham and Women's Hospital and Harvard Medical School, 75 Francis Street, Boston, MA, 02115, United States.
| | - Joan W Miller
- Retina Service, Massachusetts Eye and Ear, Harvard Medical School, 243 Charles Street, Boston, MA, 02114, United States.
| | - Martin Friedlander
- Lowy Medical Research Institute, La Jolla, CA, 92037, United States; Scripps Research Institute, La Jolla, CA, 92037, United States.
| | - Deeba Husain
- Retina Service, Massachusetts Eye and Ear, Harvard Medical School, 243 Charles Street, Boston, MA, 02114, United States.
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16
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Maronpot RR, Nyska A, Troth SP, Gabrielson K, Sysa-Shah P, Kalchenko V, Kuznetsov Y, Harmelin A, Schiffenbauer YS, Bonnel D, Stauber J, Ramot Y. Regulatory Forum Opinion Piece*: Imaging Applications in Toxicologic Pathology-Recommendations for Use in Regulated Nonclinical Toxicity Studies. Toxicol Pathol 2018. [PMID: 28641506 DOI: 10.1177/0192623317710014] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Available imaging systems for use in preclinical toxicology studies increasingly show utility as important tools in the toxicologic pathologist's armamentarium, permit longitudinal evaluation of functional and morphological changes in tissues, and provide important information such as organ and lesion volume not obtained by conventional toxicology study parameters. Representative examples of practical imaging applications in toxicology research and preclinical studies are presented for ultrasound, positron emission tomography/single-photon emission computed tomography, optical, magnetic resonance imaging, and matrix-assisted laser desorption ionization-imaging mass spectrometry imaging. Some of the challenges for making imaging systems good laboratory practice-compliant for regulatory submission are presented. Use of imaging data on a case-by-case basis as part of safety evaluation in regulatory submissions is encouraged.
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Affiliation(s)
| | - Abraham Nyska
- 2 Toxicologic Pathology, Sackler School of Medicine, Tel Aviv University, Timrat, Israel
| | - Sean P Troth
- 3 Merck & Co., Inc., West Point, Pennsylvania, USA
| | - Kathleen Gabrielson
- 4 Department of Molecular and Comparative Pathobiology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Polina Sysa-Shah
- 4 Department of Molecular and Comparative Pathobiology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Vyacheslav Kalchenko
- 5 Department of Veterinary Resources, Weizmann Institute of Science, Rehovot, Israel
| | - Yuri Kuznetsov
- 5 Department of Veterinary Resources, Weizmann Institute of Science, Rehovot, Israel
| | - Alon Harmelin
- 5 Department of Veterinary Resources, Weizmann Institute of Science, Rehovot, Israel
| | | | | | | | - Yuval Ramot
- 8 Hadassah-Hebrew University Medical Center, Jerusalem, Israel
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17
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Abstract
Mass spectrometry imaging (MSI) is a technique which is gaining increasing interest in biomedical research due to its capacity to visualize molecules in tissues. First applied to the field of clinical proteomics, its potential for metabolite imaging in biomedical studies is now being recognized. Here we describe how to set up experiments for mass spectrometry imaging of metabolites in clinical tissues and how to tackle most of the obstacles in the subsequent analysis of the data.
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Affiliation(s)
- Benjamin Balluff
- Maastricht MultiModal Molecular Imaging Institute (M4I), Maastricht University, Maastricht, The Netherlands
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18
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Chang Q, Ornatsky OI, Siddiqui I, Loboda A, Baranov VI, Hedley DW. Imaging Mass Cytometry. Cytometry A 2017; 91:160-169. [PMID: 28160444 DOI: 10.1002/cyto.a.23053] [Citation(s) in RCA: 178] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2016] [Revised: 12/13/2016] [Accepted: 12/28/2016] [Indexed: 12/21/2022]
Abstract
Imaging Mass Cytometry (IMC) is an expansion of mass cytometry, but rather than analyzing single cells in suspension, it uses laser ablation to generate plumes of particles that are carried to the mass cytometer by a stream of inert gas. Images reconstructed from tissue sections scanned by IMC have a resolution comparable to light microscopy, with the high content of mass cytometry enabled through the use of isotopically labeled probes and ICP-MS detection. Importantly, IMC can be performed on paraffin-embedded tissue sections, so can be applied to the retrospective analysis of patient cohorts whose outcome is known, and eventually to personalized medicine. Since the original description in 2014, IMC has evolved rapidly into a commercial instrument of unprecedented power for the analysis of histological sections. In this Review, we discuss the underlying principles of this new technology, and outline emerging applications of IMC in the analysis of normal and pathological tissues. © 2017 International Society for Advancement of Cytometry.
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Affiliation(s)
- Qing Chang
- Fluidigm Canada Inc., Markham, Ontario, L3R 4G5, Canada
| | | | - Iram Siddiqui
- Department of Pathology, Hospital for Sick Children, Toronto, Ontario, M5G 1X8, Canada
| | | | | | - David W Hedley
- Division of Medical Oncology and Hematology, Princess Margaret Cancer Centre, Toronto, Ontario, M5G 2M9, Canada
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19
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Affiliation(s)
- Qing Chang
- Fluidigm Canada Inc.; Markham Ontario L3R 4G5 Canada
| | | | - Iram Siddiqui
- Department of Pathology; Hospital for Sick Children; Toronto Ontario M5G 1X8 Canada
| | | | | | - David W. Hedley
- Division of Medical Oncology and Hematology; Princess Margaret Cancer Centre; Toronto Ontario M5G 2M9 Canada
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20
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Spatial Metabolite Profiling by Matrix-Assisted Laser Desorption Ionization Mass Spectrometry Imaging. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2017; 965:291-321. [DOI: 10.1007/978-3-319-47656-8_12] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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21
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Baker TC, Han J, Borchers CH. Recent advancements in matrix-assisted laser desorption/ionization mass spectrometry imaging. Curr Opin Biotechnol 2016; 43:62-69. [PMID: 27690313 DOI: 10.1016/j.copbio.2016.09.003] [Citation(s) in RCA: 93] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2016] [Accepted: 09/06/2016] [Indexed: 10/20/2022]
Abstract
Matrix assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) is a robust tool for spatially resolved analysis of biomolecules in situ. Recent advances in high ionization-efficiency MALDI matrices, new matrix deposition procedures, and the development of high spatial-resolution and high sensitivity MS instruments continue to drive new applications of MALDI-MSI, along with other MSI techniques, which allow us to visualize and determine the regio-specific and temporal changes in proteins, peptides, lipids, drug molecules, and metabolites within the tissues, cells and microorganisms. These provide researchers with a new route to the discovery of potential biomarkers of human disease and elucidation of the underlying biology of metabolic regulation, thus bringing our understanding of human health to a new level.
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Affiliation(s)
- Teesha C Baker
- University of Victoria-Genome British Columbia Proteomics Centre, #3101-4464 Markham St., Vancouver Island Technology Park, Victoria, BC V8Z 7X8, Canada; Department of Biochemistry and Microbiology, University of Victoria, Petch Building Room 207, 3800 Finnerty Rd., Victoria, BC V8P 5C2, Canada
| | - Jun Han
- University of Victoria-Genome British Columbia Proteomics Centre, #3101-4464 Markham St., Vancouver Island Technology Park, Victoria, BC V8Z 7X8, Canada
| | - Christoph H Borchers
- University of Victoria-Genome British Columbia Proteomics Centre, #3101-4464 Markham St., Vancouver Island Technology Park, Victoria, BC V8Z 7X8, Canada; Department of Biochemistry and Microbiology, University of Victoria, Petch Building Room 207, 3800 Finnerty Rd., Victoria, BC V8P 5C2, Canada.
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22
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Ly A, Buck A, Balluff B, Sun N, Gorzolka K, Feuchtinger A, Janssen KP, Kuppen PJK, van de Velde CJH, Weirich G, Erlmeier F, Langer R, Aubele M, Zitzelsberger H, McDonnell L, Aichler M, Walch A. High-mass-resolution MALDI mass spectrometry imaging of metabolites from formalin-fixed paraffin-embedded tissue. Nat Protoc 2016; 11:1428-43. [PMID: 27414759 DOI: 10.1038/nprot.2016.081] [Citation(s) in RCA: 162] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Formalin-fixed and paraffin-embedded (FFPE) tissue specimens are the gold standard for histological examination, and they provide valuable molecular information in tissue-based research. Metabolite assessment from archived tissue samples has not been extensively conducted because of a lack of appropriate protocols and concerns about changes in metabolite content or chemical state due to tissue processing. We present a protocol for the in situ analysis of metabolite content from FFPE samples using a high-mass-resolution matrix-assisted laser desorption/ionization fourier-transform ion cyclotron resonance mass spectrometry imaging (MALDI-FT-ICR-MSI) platform. The method involves FFPE tissue sections that undergo deparaffinization and matrix coating by 9-aminoacridine before MALDI-MSI. Using this platform, we previously detected ∼1,500 m/z species in the mass range m/z 50-1,000 in FFPE samples; the overlap compared with fresh frozen samples is 72% of m/z species, indicating that metabolites are largely conserved in FFPE tissue samples. This protocol can be reproducibly performed on FFPE tissues, including small samples such as tissue microarrays and biopsies. The procedure can be completed in a day, depending on the size of the sample measured and raster size used. Advantages of this approach include easy sample handling, reproducibility, high throughput and the ability to demonstrate molecular spatial distributions in situ. The data acquired with this protocol can be used in research and clinical practice.
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Affiliation(s)
- Alice Ly
- Research Unit Analytical Pathology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Achim Buck
- Research Unit Analytical Pathology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Benjamin Balluff
- Maastricht MultiModal Molecular Imaging Institute (M4I), Maastricht University, Maastricht, the Netherlands
| | - Na Sun
- Research Unit Analytical Pathology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Karin Gorzolka
- Research Unit Analytical Pathology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Annette Feuchtinger
- Research Unit Analytical Pathology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Klaus-Peter Janssen
- Department of Surgery, Klinikum Rechts der Isar, Technische Universität München, Munich, Germany
| | - Peter J K Kuppen
- Department of Surgery, Leiden University Medical Center, Leiden, the Netherlands
| | | | - Gregor Weirich
- Institute of Pathology, Technische Universität München, Munich, Germany
| | | | - Rupert Langer
- Institute of Pathology, Technische Universität München, Munich, Germany
| | - Michaela Aubele
- Institute of Pathology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Horst Zitzelsberger
- Research Unit Radiation Cytogenetics, Helmholtz Zentrum München, Neuherberg, Germany
| | - Liam McDonnell
- Centre for Proteomics and Metabolomics, Leiden University Medical Centre, Leiden, the Netherlands.,Fondazione Pisana per la Scienza ONLUS, Pisa, Italy
| | - Michaela Aichler
- Research Unit Analytical Pathology, Helmholtz Zentrum München, Neuherberg, Germany
| | - Axel Walch
- Research Unit Analytical Pathology, Helmholtz Zentrum München, Neuherberg, Germany
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