101
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Villacrez M, Hellman K, Ono T, Sugihara Y, Rezeli M, Ek F, Marko-Varga G, Olsson R. Evaluation of Drug Exposure and Metabolism in Locust and Zebrafish Brains Using Mass Spectrometry Imaging. ACS Chem Neurosci 2018; 9:1994-2000. [PMID: 29350027 DOI: 10.1021/acschemneuro.7b00459] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
Abstract
Studying how and where drugs are metabolized in the brain is challenging. In an entire organism, peripheral metabolism produces many of the same metabolites as those in the brain, and many of these metabolites can cross the blood-brain barrier from the periphery, thus making the relative contributions of hepatic and brain metabolism difficult to study in vivo. In addition, drugs and metabolites contained in ventricles and in the residual blood of capillaries in the brain may overestimate drugs' and metabolites' concentrations in the brain. In this study, we examine locusts and zebrafish using matrix assisted laser desorption ionization mass spectrometry imaging to study brain metabolism and distribution. These animal models are cost-effective and ethically sound for initial drug development studies.
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Affiliation(s)
- Marvin Villacrez
- Chemical Biology & Therapeutics group, Department of Experimental Medical Science, Lund University, S-22184 Lund, Sweden
| | - Karin Hellman
- Chemical Biology & Therapeutics group, Department of Experimental Medical Science, Lund University, S-22184 Lund, Sweden
| | - Tatsuya Ono
- Division of Clinical Protein Science and Imaging, Department of Experimental Medical Science, Lund University, S-22184 Lund, Sweden
| | - Yutaka Sugihara
- Division of Clinical Protein Science and Imaging, Department of Experimental Medical Science, Lund University, S-22184 Lund, Sweden
| | - Melinda Rezeli
- Division of Clinical Protein Science and Imaging, Department of Experimental Medical Science, Lund University, S-22184 Lund, Sweden
| | - Fredrik Ek
- Chemical Biology & Therapeutics group, Department of Experimental Medical Science, Lund University, S-22184 Lund, Sweden
| | - Gyorgy Marko-Varga
- Division of Clinical Protein Science and Imaging, Department of Experimental Medical Science, Lund University, S-22184 Lund, Sweden
| | - Roger Olsson
- Chemical Biology & Therapeutics group, Department of Experimental Medical Science, Lund University, S-22184 Lund, Sweden
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102
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Klein DR, Feider CL, Garza KY, Lin JQ, Eberlin LS, Brodbelt JS. Desorption Electrospray Ionization Coupled with Ultraviolet Photodissociation for Characterization of Phospholipid Isomers in Tissue Sections. Anal Chem 2018; 90:10100-10104. [PMID: 30080398 DOI: 10.1021/acs.analchem.8b03026] [Citation(s) in RCA: 71] [Impact Index Per Article: 11.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
Desorption electrospray ionization (DESI) mass spectrometry imaging has become a powerful strategy for analysis of tissue sections, enabling differentiation of normal and diseased tissue based on changes in the lipid profiles. The most common DESI workflow involves collection of MS1 spectra as the DESI spray is rastered over a tissue section. Relying on MS1 spectra inherently limits the ability to differentiate isobaric and isomeric species or evaluate variations in the relative abundances of key isomeric lipids, such as double-bond positional isomers which may distinguish normal and diseased tissues. Here, 193 nm ultraviolet photodissociation (UVPD), a technique capable of differentiating double-bond positional isomers, is coupled with DESI to map differences in the double-bond isomer composition in tissue sections in a fast, high throughput manner compatible with imaging applications.
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Affiliation(s)
- Dustin R Klein
- Department of Chemistry , The University of Texas at Austin , Austin , Texas 78712 , United States
| | - Clara L Feider
- Department of Chemistry , The University of Texas at Austin , Austin , Texas 78712 , United States
| | - Kyana Y Garza
- Department of Chemistry , The University of Texas at Austin , Austin , Texas 78712 , United States
| | - John Q Lin
- Department of Chemistry , The University of Texas at Austin , Austin , Texas 78712 , United States
| | - Livia S Eberlin
- Department of Chemistry , The University of Texas at Austin , Austin , Texas 78712 , United States
| | - Jennifer S Brodbelt
- Department of Chemistry , The University of Texas at Austin , Austin , Texas 78712 , United States
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103
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Abe T, Niizuma K, Kanoke A, Saigusa D, Saito R, Uruno A, Fujimura M, Yamamoto M, Tominaga T. Metabolomic Analysis of Mouse Brain after a Transient Middle Cerebral Artery Occlusion by Mass Spectrometry Imaging. Neurol Med Chir (Tokyo) 2018; 58:384-392. [PMID: 30078821 PMCID: PMC6156127 DOI: 10.2176/nmc.oa.2018-0054] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
We performed metabolomic analyses of mouse brain using a transient middle cerebral artery occlusion (tMCAO) model with Matrix Assisted Laser Desorption/Ionization (MALDI)-mass spectrometry imaging (MSI) to reveal metabolite changes after cerebral ischemia. We selected and analyzed three metabolites, namely creatine (Cr), phosphocreatine (P-Cr), and ceramides (Cer), because these metabolites contribute to cell life and death. Eight-week-old male C57BL/6J mice were subjected to tMCAO via the intraluminal blockade of the middle cerebral artery (MCA) and reperfusion 60 min after the induction of ischemia. Each mouse was randomly assigned to one of the three groups; the groups were defined by the survival period after reperfusion: control, 1 h, and 24 h. Corrected samples were analyzed using MALDI-MSI. Results of MSI analysis showed the presence of several ionized substances and revealed spatial changes in some metabolites identified as precise substances, including Cr, P-Cr, Cer d18:1/18:0, phosphatidylcholine, L-glutamine, and L-histidine. Cr, P-Cr, and Cer d18:1/18:0 were changed after tMCAO, and P-Cr and Cer d18:1/18:0 accumulated over time in ischemic cores and surrounding areas following ischemia onset. The upregulation of P-Cr and Cer d18:1/18:0 was detected 1 h after tMCAO when no changes were evident on hematoxylin and eosin staining and immunofluorescence assay. P-Cr and Cer d18:1/18:0 can serve as neuroprotective therapies because they are biomarker candidates for cerebral ischemia.
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Affiliation(s)
- Takatsugu Abe
- Department of Neurosurgery, Tohoku University Graduate School of Medicine
| | - Kuniyasu Niizuma
- Department of Neurosurgery, Tohoku University Graduate School of Medicine.,Neurosurgical Engineering and Translational Neuroscience, Tohoku University Graduate School of Medicine.,Department of Neurosurgical Engineering and Translational Neuroscience, Graduate School of Biomedical Engineering, Tohoku University
| | - Atsushi Kanoke
- Department of Neurosurgery, Tohoku University Graduate School of Medicine
| | - Daisuke Saigusa
- Department of Medical Biochemistry, Tohoku University Graduate School of Medicine
| | - Ritsumi Saito
- Department of Medical Biochemistry, Tohoku University Graduate School of Medicine
| | - Akira Uruno
- Department of Medical Biochemistry, Tohoku University Graduate School of Medicine
| | - Miki Fujimura
- Department of Neurosurgery, Tohoku University Graduate School of Medicine
| | - Masayuki Yamamoto
- Department of Medical Biochemistry, Tohoku University Graduate School of Medicine
| | - Teiji Tominaga
- Department of Neurosurgery, Tohoku University Graduate School of Medicine
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104
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Qin L, Zhang Y, Liu Y, He H, Han M, Li Y, Zeng M, Wang X. Recent advances in matrix-assisted laser desorption/ionisation mass spectrometry imaging (MALDI-MSI) for in situ analysis of endogenous molecules in plants. PHYTOCHEMICAL ANALYSIS : PCA 2018; 29:351-364. [PMID: 29667236 DOI: 10.1002/pca.2759] [Citation(s) in RCA: 60] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/07/2018] [Revised: 02/01/2018] [Accepted: 02/04/2018] [Indexed: 05/27/2023]
Abstract
INTRODUCTION Mass spectrometry imaging (MSI) as a label-free and powerful imaging technique enables in situ evaluation of a tissue metabolome and/or proteome, becoming increasingly popular in the detection of plant endogenous molecules. OBJECTIVE The characterisation of structure and spatial information of endogenous molecules in plants are both very important aspects to better understand the physiological mechanism of plant organism. METHODS Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) is a commonly-used tissue imaging technique, which requires matrix to assist in situ detection of a variety of molecules on the surface of a tissue section. In previous studies, MALDI-MSI was mostly used for the detection of molecules from animal tissue sections, compared to plant samples due to cell structural limitations, such as plant cuticles, epicuticular waxes, and cell walls. Despite the enormous progress that has been made in tissue imaging, there is still a challenge for MALDI-MSI suitable for the imaging of endogenous compounds in plants. RESULTS This review summarises the recent advances in MALDI-MSI, focusing on the application of in situ detection of endogenous molecules in different plant organs, i.e. root, stem, leaf, flower, fruit, and seed. CONCLUSION Further improvements on instrumentation sensitivity, matrix selection, image processing and sample preparation will expand the application of MALDI-MSI in plant research.
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Affiliation(s)
- Liang Qin
- Centre for Imaging & Systems Biology, Minzu University of China, Beijing, P. R. China
- College of Life and Environmental Sciences, Minzu University of China, Beijing, P. R. China
| | - Yawen Zhang
- Centre for Imaging & Systems Biology, Minzu University of China, Beijing, P. R. China
- College of Life and Environmental Sciences, Minzu University of China, Beijing, P. R. China
| | - Yaqin Liu
- Centre for Imaging & Systems Biology, Minzu University of China, Beijing, P. R. China
- College of Life and Environmental Sciences, Minzu University of China, Beijing, P. R. China
| | - Huixin He
- Centre for Imaging & Systems Biology, Minzu University of China, Beijing, P. R. China
- College of Life and Environmental Sciences, Minzu University of China, Beijing, P. R. China
| | - Manman Han
- Centre for Imaging & Systems Biology, Minzu University of China, Beijing, P. R. China
- College of Life and Environmental Sciences, Minzu University of China, Beijing, P. R. China
| | - Yanyan Li
- The Hospital of Minzu University of China, Minzu University of China, Beijing, P. R. China
| | - Maomao Zeng
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi, P. R. China
- Collaborative Innovation Centre of Food Safety and Quality Control in Jiangsu Province, Jiangnan University, Wuxi, P. R. China
| | - Xiaodong Wang
- Centre for Imaging & Systems Biology, Minzu University of China, Beijing, P. R. China
- College of Life and Environmental Sciences, Minzu University of China, Beijing, P. R. China
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105
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Jackson SN, Muller L, Roux A, Oktem B, Moskovets E, Doroshenko VM, Woods AS. AP-MALDI Mass Spectrometry Imaging of Gangliosides Using 2,6-Dihydroxyacetophenone. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2018; 29:1463-1472. [PMID: 29549666 PMCID: PMC7549319 DOI: 10.1007/s13361-018-1928-8] [Citation(s) in RCA: 39] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/29/2017] [Revised: 02/02/2018] [Accepted: 02/03/2018] [Indexed: 05/04/2023]
Abstract
Matrix-assisted laser/desorption ionization (MALDI) mass spectrometry imaging (MSI) is widely used as a unique tool to record the distribution of a large range of biomolecules in tissues. 2,6-Dihydroxyacetophenone (DHA) matrix has been shown to provide efficient ionization of lipids, especially gangliosides. The major drawback for DHA as it applies to MS imaging is that it sublimes under vacuum (low pressure) at the extended time necessary to complete both high spatial and mass resolution MSI studies of whole organs. To overcome the problem of sublimation, we used an atmospheric pressure (AP)-MALDI source to obtain high spatial resolution images of lipids in the brain using a high mass resolution mass spectrometer. Additionally, the advantages of atmospheric pressure and DHA for imaging gangliosides are highlighted. The imaging of [M-H]- and [M-H2O-H]- mass peaks for GD1 gangliosides showed different distribution, most likely reflecting the different spatial distribution of GD1a and GD1b species in the brain. Graphical Abstract ᅟ.
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Affiliation(s)
- Shelley N Jackson
- Integrative Neuroscience, NIDA IRP, NIH, 333 Cassell Drive, Room 1119, Baltimore, MD, 21224, USA.
| | - Ludovic Muller
- Integrative Neuroscience, NIDA IRP, NIH, 333 Cassell Drive, Room 1119, Baltimore, MD, 21224, USA
| | - Aurelie Roux
- Integrative Neuroscience, NIDA IRP, NIH, 333 Cassell Drive, Room 1119, Baltimore, MD, 21224, USA
| | | | | | | | - Amina S Woods
- Integrative Neuroscience, NIDA IRP, NIH, 333 Cassell Drive, Room 1119, Baltimore, MD, 21224, USA
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106
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Falcetta F, Morosi L, Ubezio P, Giordano S, Decio A, Giavazzi R, Frapolli R, Prasad M, Franceschi P, D'Incalci M, Davoli E. Past-in-the-Future. Peak detection improves targeted mass spectrometry imaging. Anal Chim Acta 2018; 1042:1-10. [PMID: 30428975 DOI: 10.1016/j.aca.2018.06.067] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2018] [Revised: 06/19/2018] [Accepted: 06/24/2018] [Indexed: 11/30/2022]
Abstract
Mass spectrometry imaging is a valuable tool for visualizing the localization of drugs in tissues, a critical issue especially in cancer pharmacology where treatment failure may depend on poor drug distribution within the tumours. Proper preprocessing procedures are mandatory to obtain quantitative data of drug distribution in tumours, even at low intensity, through reliable ion peak identification and integration. We propose a simple preprocessing and quantification pipeline. This pipeline was designed starting from classical peak integration methods, developed when "microcomputers" became available for chromatography, now applied to MSI. This pre-processing approach is based on a novel method using the fixed mass difference between the analyte and its 5 d derivatives to set up a mass range gate. We demonstrate the use of this pipeline for the evaluating the distribution of the anticancer drug paclitaxel in tumour sections. The procedure takes advantage of a simple peak analysis and allows to quantify the drug concentration in each pixel with a limit of detection below 0.1 pmol mm-2 or 10 μg g-1. Quantitative images of paclitaxel distribution in different tumour models were obtained and average paclitaxel concentrations were compared with HPLC measures in the same specimens, showing <20% difference. The scripts are developed in Python and available through GitHub, at github.com/FrancescaFalcetta/Imaging_of_drugs_distribution_and_quantifications.git.
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Affiliation(s)
- Francesca Falcetta
- Department of Oncology, IRCCS Istituto di Ricerche Farmacologiche Mario Negri, Via La Masa, 19-20156, Milan, Italy
| | - Lavinia Morosi
- Department of Oncology, IRCCS Istituto di Ricerche Farmacologiche Mario Negri, Via La Masa, 19-20156, Milan, Italy
| | - Paolo Ubezio
- Department of Oncology, IRCCS Istituto di Ricerche Farmacologiche Mario Negri, Via La Masa, 19-20156, Milan, Italy
| | - Silvia Giordano
- Mass Spectrometry Laboratory, Department of Environmental Health Sciences, IRCCS Istituto di Ricerche Farmacologiche Mario Negri, Via La Masa, 19-20156, Milan, Italy
| | - Alessandra Decio
- Department of Oncology, IRCCS Istituto di Ricerche Farmacologiche Mario Negri, Via La Masa, 19-20156, Milan, Italy
| | - Raffaella Giavazzi
- Department of Oncology, IRCCS Istituto di Ricerche Farmacologiche Mario Negri, Via La Masa, 19-20156, Milan, Italy
| | - Roberta Frapolli
- Department of Oncology, IRCCS Istituto di Ricerche Farmacologiche Mario Negri, Via La Masa, 19-20156, Milan, Italy
| | - Mridula Prasad
- IMM/Analytical Chemistry, Radboud University, Heyendaalseweg, 6525 AJ, Nijmegen, Netherlands; Biostatistics and Data Management Group, Fondazione Edmund Mach, 38010, San Michele all' Adige, Italy; Nanotechnology in Medicinal Chemistry, Department of Molecular Biotechnology and Health Sciences, Università di Torino, 10126, Torino, Italy
| | - Pietro Franceschi
- Biostatistics and Data Management Group, Fondazione Edmund Mach, 38010, San Michele all' Adige, Italy
| | - Maurizio D'Incalci
- Department of Oncology, IRCCS Istituto di Ricerche Farmacologiche Mario Negri, Via La Masa, 19-20156, Milan, Italy
| | - Enrico Davoli
- Mass Spectrometry Laboratory, Department of Environmental Health Sciences, IRCCS Istituto di Ricerche Farmacologiche Mario Negri, Via La Masa, 19-20156, Milan, Italy.
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107
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Distinguishing malignant from benign microscopic skin lesions using desorption electrospray ionization mass spectrometry imaging. Proc Natl Acad Sci U S A 2018; 115:6347-6352. [PMID: 29866838 DOI: 10.1073/pnas.1803733115] [Citation(s) in RCA: 61] [Impact Index Per Article: 10.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
Detection of microscopic skin lesions presents a considerable challenge in diagnosing early-stage malignancies as well as in residual tumor interrogation after surgical intervention. In this study, we established the capability of desorption electrospray ionization mass spectrometry imaging (DESI-MSI) to distinguish between micrometer-sized tumor aggregates of basal cell carcinoma (BCC), a common skin cancer, and normal human skin. We analyzed 86 human specimens collected during Mohs micrographic surgery for BCC to cross-examine spatial distributions of numerous lipids and metabolites in BCC aggregates versus adjacent skin. Statistical analysis using the least absolute shrinkage and selection operation (Lasso) was employed to categorize each 200-µm-diameter picture element (pixel) of investigated skin tissue map as BCC or normal. Lasso identified 24 molecular ion signals, which are significant for pixel classification. These ion signals included lipids observed at m/z 200-1,200 and Krebs cycle metabolites observed at m/z < 200. Based on these features, Lasso yielded an overall 94.1% diagnostic accuracy pixel by pixel of the skin map compared with histopathological evaluation. We suggest that DESI-MSI/Lasso analysis can be employed as a complementary technique for delineation of microscopic skin tumors.
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108
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Galvão ES, Santos JM, Lima AT, Reis NC, Orlando MTD, Stuetz RM. Trends in analytical techniques applied to particulate matter characterization: A critical review of fundaments and applications. CHEMOSPHERE 2018; 199:546-568. [PMID: 29455125 DOI: 10.1016/j.chemosphere.2018.02.034] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/02/2018] [Revised: 01/31/2018] [Accepted: 02/06/2018] [Indexed: 05/11/2023]
Abstract
Epidemiological studies have shown the association of airborne particulate matter (PM) size and chemical composition with health problems affecting the cardiorespiratory and central nervous systems. PM also act as cloud condensation nuclei (CNN) or ice nuclei (IN), taking part in the clouds formation process, and therefore can impact the climate. There are several works using different analytical techniques in PM chemical and physical characterization to supply information to source apportionment models that help environmental agencies to assess damages accountability. Despite the numerous analytical techniques described in the literature available for PM characterization, laboratories are normally limited to the in-house available techniques, which raises the question if a given technique is suitable for the purpose of a specific experimental work. The aim of this work consists of summarizing the main available technologies for PM characterization, serving as a guide for readers to find the most appropriate technique(s) for their investigation. Elemental analysis techniques like atomic spectrometry based and X-ray based techniques, organic and carbonaceous techniques and surface analysis techniques are discussed, illustrating their main features as well as their advantages and drawbacks. We also discuss the trends in analytical techniques used over the last two decades. The choice among all techniques is a function of a number of parameters such as: the relevant particles physical properties, sampling and measuring time, access to available facilities and the costs associated to equipment acquisition, among other considerations. An analytical guide map is presented as a guideline for choosing the most appropriated technique for a given analytical information required.
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Affiliation(s)
- Elson Silva Galvão
- Departamento de Engenharia Ambiental, Universidade Federal do Espírito Santo, Vitória, ES, Brazil.
| | - Jane Meri Santos
- Departamento de Engenharia Ambiental, Universidade Federal do Espírito Santo, Vitória, ES, Brazil
| | - Ana Teresa Lima
- Departamento de Engenharia Ambiental, Universidade Federal do Espírito Santo, Vitória, ES, Brazil
| | - Neyval Costa Reis
- Departamento de Engenharia Ambiental, Universidade Federal do Espírito Santo, Vitória, ES, Brazil
| | | | - Richard Michael Stuetz
- School of Civil and Environmental Engineering, The University of New South Wales, Sydney, NSW, Australia
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109
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Pogorelov AG, Gulin AA, Pogorelova VN, Panait AI, Pogorelova MA, Nadtochenko VA. The Use of ToF-SIMS for Analysis of Bioorganic Samples. Biophysics (Nagoya-shi) 2018. [DOI: 10.1134/s0006350918020197] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
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110
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Robinson KN, Steven RT, Bunch J. Matrix Optical Absorption in UV-MALDI MS. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2018; 29:501-511. [PMID: 29468418 DOI: 10.1007/s13361-017-1843-4] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2017] [Revised: 10/31/2017] [Accepted: 11/01/2017] [Indexed: 05/03/2023]
Abstract
In ultraviolet matrix-assisted laser desorption/ionization mass spectrometry (UV-MALDI MS) matrix compound optical absorption governs the uptake of laser energy, which in turn has a strong influence on experimental results. Despite this, quantitative absorption measurements are lacking for most matrix compounds. Furthermore, despite the use of UV-MALDI MS to detect a vast range of compounds, investigations into the effects of laser energy have been primarily restricted to single classes of analytes. We report the absolute solid state absorption spectra of the matrix compounds α-cyano-4-hydroxycinnamic acid (CHCA), para-nitroaniline (PNA), 2-mercaptobenzothiazole (MBT), 2,5-dihydroxybenzoic acid (2,5-DHB), and 2,4,6-trihydroxyacetophenone (THAP). The desorption/ionization characteristics of these matrix compounds with respect to laser fluence was investigated using mixed systems of matrix with either angiotensin II, PC(34:1) lipid standard, or haloperidol, acting as representatives for typical classes of analyte encountered in UV-MALDI MS. The first absolute solid phase spectra for PNA, MBT, and THAP are reported; additionally, inconsistencies between previously published spectra for CHCA are resolved. In light of these findings, suggestions are made for experimental optimization with regards to matrix and laser wavelength selection. The relationship between matrix optical cross-section and wavelength-dependant threshold fluence, fluence of maximum ion yield, and R, a new descriptor for the change in ion intensity with fluence, are described. A matrix cross-section of 1.3 × 10-17 cm-2 was identified as a potential minimum for desorption/ionization of analytes. Graphical Abstract ᅟ.
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Affiliation(s)
- Kenneth N Robinson
- National Center of Excellence in Mass Spectrometry Imaging (NiCE-MSI), National Physical Laboratory, Teddington, UK
- Advanced Materials and Healthcare Technologies Division, University of Nottingham, Nottingham, UK
| | - Rory T Steven
- National Center of Excellence in Mass Spectrometry Imaging (NiCE-MSI), National Physical Laboratory, Teddington, UK
| | - Josephine Bunch
- National Center of Excellence in Mass Spectrometry Imaging (NiCE-MSI), National Physical Laboratory, Teddington, UK.
- Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, London, UK.
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111
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Tian X, Zhang G, Shao Y, Yang Z. Towards enhanced metabolomic data analysis of mass spectrometry image: Multivariate Curve Resolution and Machine Learning. Anal Chim Acta 2018; 1037:211-219. [PMID: 30292295 DOI: 10.1016/j.aca.2018.02.031] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2017] [Revised: 02/08/2018] [Accepted: 02/10/2018] [Indexed: 12/12/2022]
Abstract
Large amounts of data are generally produced from mass spectrometry imaging (MSI) experiments in obtaining the molecular and spatial information of biological samples. Traditionally, MS images are constructed using manually selected ions, and it is very challenging to comprehensively analyze MSI results due to their large data sizes and highly complex data structures. To overcome these barriers, it is obligatory to develop advanced data analysis approaches to handle the increasingly large MSI data. In the current study, we focused on the method development of using Multivariate Curve Resolution (MCR) and Machine Learning (ML) approaches. We aimed to effectively extract the essential information present in the large and complex MSI data and enhance the metabolomic data analysis of biological tissues. Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS) algorithm was used to obtain major patterns of spatial distribution and grouped metabolites with the same spatial distribution patterns. In addition, both supervised and unsupervised ML methods were established to analyze the MSI data. In the supervised ML approach, Random Forest method was selected, and the model was trained using the selected datasets based on the distribution pattern obtained from MCR-ALS analyses. In the unsupervised ML approach, both DBSCAN (Density-based Spatial Clustering of Applications with Noise) and CLARA (Clustering Large Applications) were applied to cluster the MSI datasets. It is worth noting that similar patterns of spatial distribution were discovered through MSI data analysis using MCR-ALS, supervised ML, and unsupervised ML. Our protocols of data analysis can be applied to process the data acquired using many other types of MSI techniques, and to extract the overall features present in MSI results that are intractable using traditional data analysis approaches.
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Affiliation(s)
- Xiang Tian
- Department of Chemistry and Biochemistry, University of Oklahoma, 101 Stephenson Parkway, Norman, OK, 73019, USA
| | - Genwei Zhang
- Department of Chemistry and Biochemistry, University of Oklahoma, 101 Stephenson Parkway, Norman, OK, 73019, USA
| | - Yihan Shao
- Department of Chemistry and Biochemistry, University of Oklahoma, 101 Stephenson Parkway, Norman, OK, 73019, USA.
| | - Zhibo Yang
- Department of Chemistry and Biochemistry, University of Oklahoma, 101 Stephenson Parkway, Norman, OK, 73019, USA.
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112
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Abdelmoula WM, Pezzotti N, Hölt T, Dijkstra J, Vilanova A, McDonnell LA, Lelieveldt BPF. Interactive Visual Exploration of 3D Mass Spectrometry Imaging Data Using Hierarchical Stochastic Neighbor Embedding Reveals Spatiomolecular Structures at Full Data Resolution. J Proteome Res 2018; 17:1054-1064. [PMID: 29430923 PMCID: PMC5838640 DOI: 10.1021/acs.jproteome.7b00725] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
![]()
Technological
advances in mass spectrometry imaging (MSI) have
contributed to growing interest in 3D MSI. However, the large size
of 3D MSI data sets has made their efficient analysis and visualization
and the identification of informative molecular patterns computationally
challenging. Hierarchical stochastic neighbor embedding (HSNE), a
nonlinear dimensionality reduction technique that aims at finding
hierarchical and multiscale representations of large data sets, is
a recent development that enables the analysis of millions of data
points, with manageable time and memory complexities. We demonstrate
that HSNE can be used to analyze large 3D MSI data sets at full mass
spectral and spatial resolution. To benchmark the technique as well
as demonstrate its broad applicability, we have analyzed a number
of publicly available 3D MSI data sets, recorded from various biological
systems and spanning different mass-spectrometry ionization techniques.
We demonstrate that HSNE is able to rapidly identify regions of interest
within these large high-dimensionality data sets as well as aid the
identification of molecular ions that characterize these regions of
interest; furthermore, through clearly separating measurement artifacts,
the HSNE analysis exhibits a degree of robustness to measurement batch
effects, spatially correlated noise, and mass spectral misalignment.
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Affiliation(s)
- Walid M Abdelmoula
- Division of Image Processing, Department of Radiology, Leiden University Medical Center , 2333 ZA Leiden, The Netherlands.,Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School , Boston, Massachusetts 02115, United States
| | - Nicola Pezzotti
- Computer Graphics and Visualization Group, Faculty of EEMCS, Delft University of Technology , 2628 CN Delft, The Netherlands
| | - Thomas Hölt
- Computer Graphics and Visualization Group, Faculty of EEMCS, Delft University of Technology , 2628 CN Delft, The Netherlands
| | - Jouke Dijkstra
- Division of Image Processing, Department of Radiology, Leiden University Medical Center , 2333 ZA Leiden, The Netherlands
| | - Anna Vilanova
- Computer Graphics and Visualization Group, Faculty of EEMCS, Delft University of Technology , 2628 CN Delft, The Netherlands
| | | | - Boudewijn P F Lelieveldt
- Division of Image Processing, Department of Radiology, Leiden University Medical Center , 2333 ZA Leiden, The Netherlands.,Computer Graphics and Visualization Group, Faculty of EEMCS, Delft University of Technology , 2628 CN Delft, The Netherlands
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Cleland TP, Schroeter ER. A Comparison of Common Mass Spectrometry Approaches for Paleoproteomics. J Proteome Res 2018; 17:936-945. [PMID: 29384680 DOI: 10.1021/acs.jproteome.7b00703] [Citation(s) in RCA: 41] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
The last two decades have seen a broad diversity of methods used to identify and/or characterize proteins in the archeological and paleontological record. Of these, mass spectrometry has opened an unprecedented window into the proteomes of the past, providing protein sequence data from long extinct animals as well as historical and prehistorical artifacts. Thus, application of mass spectrometry to fossil remains has become an attractive source for ancient molecular sequences with which to conduct evolutionary studies, particularly in specimens older than the proposed limit of amplifiable DNA detection. However, "mass spectrometry" covers a range of mass-based proteomic approaches, each of which utilize different technology and physical principles to generate unique types of data, with their own strengths and challenges. Here, we discuss a variety of mass spectrometry techniques that have or may be used to detect and characterize archeological and paleontological proteins, with a particular focus on MALDI-MS, LC-MS/MS, TOF-SIMS, and MSi. The main differences in their functionality, the types of data they produce, and the potential effects of diagenesis on their results are considered.
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Affiliation(s)
- Timothy P Cleland
- Museum Conservation Institute, Smithsonian Institution , Suitland, Maryland 20746, United States
| | - Elena R Schroeter
- Department of Biological Sciences, North Carolina State University , Raleigh, North Carolina 27695, United States
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114
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Dressler VL, Müller EI, Pozebon D. Bioimaging Metallomics. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2018; 1055:139-181. [DOI: 10.1007/978-3-319-90143-5_7] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
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115
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Muthu M, Gopal J, Chun S. Nanopost array laser desorption ionization mass spectrometry (NAPA-LDI MS): Gathering moss? Trends Analyt Chem 2017. [DOI: 10.1016/j.trac.2017.08.016] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
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116
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Host-based lipid inflammation drives pathogenesis in Francisella infection. Proc Natl Acad Sci U S A 2017; 114:12596-12601. [PMID: 29109289 DOI: 10.1073/pnas.1712887114] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022] Open
Abstract
Mass spectrometry imaging (MSI) was used to elucidate host lipids involved in the inflammatory signaling pathway generated at the host-pathogen interface during a septic bacterial infection. Using Francisella novicida as a model organism, a bacterial lipid virulence factor (endotoxin) was imaged and identified along with host phospholipids involved in the splenic response in murine tissues. Here, we demonstrate detection and distribution of endotoxin in a lethal murine F. novicida infection model, in addition to determining the temporally and spatially resolved innate lipid inflammatory response in both 2D and 3D renderings using MSI. Further, we show that the cyclooxygenase-2-dependent lipid inflammatory pathway is responsible for lethality in F. novicida infection due to overproduction of proinflammatory effectors including prostaglandin E2. The results of this study emphasize that spatial determination of the host lipid components of the immune response is crucial to identifying novel strategies to effectively address highly pathogenic and lethal infections stemming from bacterial, fungal, and viral origins.
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117
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Recent advances in sample pre-treatment for emerging methods in proteomic analysis. Talanta 2017; 174:738-751. [DOI: 10.1016/j.talanta.2017.06.056] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2017] [Revised: 06/14/2017] [Accepted: 06/19/2017] [Indexed: 12/21/2022]
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118
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Bokhart MT, Manni J, Garrard KP, Ekelöf M, Nazari M, Muddiman DC. IR-MALDESI Mass Spectrometry Imaging at 50 Micron Spatial Resolution. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2017; 28:2099-2107. [PMID: 28721672 PMCID: PMC5693761 DOI: 10.1007/s13361-017-1740-x] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/25/2017] [Revised: 06/15/2017] [Accepted: 06/15/2017] [Indexed: 05/04/2023]
Abstract
High spatial resolution in mass spectrometry imaging (MSI) is crucial to understanding the biology dictated by molecular distributions in complex tissue systems. Here, we present MSI using infrared matrix-assisted laser desorption electrospray ionization (IR-MALDESI) at 50 μm resolution. An adjustable iris, beam expander, and an aspherical focusing lens were used to reduce tissue ablation diameters for MSI at high resolution. The laser beam caustic was modeled using laser ablation paper to calculate relevant laser beam characteristics. The minimum laser spot diameter on the tissue was determined using tissue staining and microscopy. Finally, the newly constructed optical system was used to image hen ovarian tissue with and without oversampling, detailing tissue features at 50 μm resolution. Graphical Abstract ᅟ.
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Affiliation(s)
- Mark T Bokhart
- W.M. Keck FTMS Laboratory for Human Health Research, Department of Chemistry, North Carolina State University, Raleigh, NC, 27695, USA
| | | | - Kenneth P Garrard
- W.M. Keck FTMS Laboratory for Human Health Research, Department of Chemistry, North Carolina State University, Raleigh, NC, 27695, USA
- Precision Engineering Consortium, North Carolina State University, Raleigh, NC, 27695, USA
| | - Måns Ekelöf
- W.M. Keck FTMS Laboratory for Human Health Research, Department of Chemistry, North Carolina State University, Raleigh, NC, 27695, USA
| | - Milad Nazari
- W.M. Keck FTMS Laboratory for Human Health Research, Department of Chemistry, North Carolina State University, Raleigh, NC, 27695, USA
| | - David C Muddiman
- W.M. Keck FTMS Laboratory for Human Health Research, Department of Chemistry, North Carolina State University, Raleigh, NC, 27695, USA.
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119
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Paine MRL, Kooijman PC, Fisher GL, Heeren RMA, Fernández FM, Ellis SR. Visualizing molecular distributions for biomaterials applications with mass spectrometry imaging: a review. J Mater Chem B 2017; 5:7444-7460. [PMID: 32264222 DOI: 10.1039/c7tb01100h] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Mass spectrometry imaging (MSI) is a rapidly emerging field that is continually finding applications in new and exciting areas. The ability of MSI to measure the spatial distribution of molecules at or near the surface of complex substrates makes it an ideal candidate for many applications, including those in the sphere of materials chemistry. Continual development and optimization of both ionization sources and analyzer technologies have resulted in a wide array of MSI tools available, both commercially available and custom-built, with each configuration possessing inherent strengths and limitations. Despite the unique potential of MSI over other chemical imaging methods, their potential and application to (bio)materials science remains in our view a largely underexplored avenue. This review will discuss these techniques enabling high parallel molecular detection, focusing on those with reported uses in (bio)materials chemistry applications and highlighted with select applications. Different technologies are presented in three main sections; secondary ion mass spectrometry (SIMS) imaging, matrix-assisted laser desorption ionization (MALDI) MSI, and emerging MSI technologies with potential for biomaterial analysis. The first two sections (SIMS and MALDI) discuss well-established methods that are continually evolving both in technological advancements and in experimental versatility. In the third section, relatively new and versatile technologies capable of performing measurements under ambient conditions will be introduced, with reported applications in materials chemistry or potential applications discussed. The aim of this review is to provide a concise resource for those interested in utilizing MSI for applications such as biomimetic materials, biological/synthetic material interfaces, polymer formulation and bulk property characterization, as well as the spatial and chemical distributions of nanoparticles, or any other molecular imaging application requiring broad chemical speciation.
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Affiliation(s)
- Martin R L Paine
- M4I, The Maastricht MultiModal Molecular Imaging Institute, Maastricht University, Maastricht 6229 ER, The Netherlands.
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120
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Ercole A, Magnoni S, Vegliante G, Pastorelli R, Surmacki J, Bohndiek SE, Zanier ER. Current and Emerging Technologies for Probing Molecular Signatures of Traumatic Brain Injury. Front Neurol 2017; 8:450. [PMID: 28912750 PMCID: PMC5582086 DOI: 10.3389/fneur.2017.00450] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2017] [Accepted: 08/14/2017] [Indexed: 01/10/2023] Open
Abstract
Traumatic brain injury (TBI) is understood as an interplay between the initial injury, subsequent secondary injuries, and a complex host response all of which are highly heterogeneous. An understanding of the underlying biology suggests a number of windows where mechanistically inspired interventions could be targeted. Unfortunately, biologically plausible therapies have to-date failed to translate into clinical practice. While a number of stereotypical pathways are now understood to be involved, current clinical characterization is too crude for it to be possible to characterize the biological phenotype in a truly mechanistically meaningful way. In this review, we examine current and emerging technologies for fuller biochemical characterization by the simultaneous measurement of multiple, diverse biomarkers. We describe how clinically available techniques such as cerebral microdialysis can be leveraged to give mechanistic insights into TBI pathobiology and how multiplex proteomic and metabolomic techniques can give a more complete description of the underlying biology. We also describe spatially resolved label-free multiplex techniques capable of probing structural differences in chemical signatures. Finally, we touch on the bioinformatics challenges that result from the acquisition of such large amounts of chemical data in the search for a more mechanistically complete description of the TBI phenotype.
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Affiliation(s)
- Ari Ercole
- Division of Anaesthesia, University of Cambridge, Addenbrooke’s Hospital, Cambridge, United Kingdom
| | - Sandra Magnoni
- Department of Anesthesiology and Intensive Care, Fondazione IRCCS Cà Granda, Ospedale Maggiore Policlinico, Milan, Italy
| | - Gloria Vegliante
- Laboratory of Acute Brain Injury and Therapeutic Strategies, Department of Neuroscience, IRCCS – Istituto di Ricerche Farmacologiche Mario Negri, Milan, Italy
| | - Roberta Pastorelli
- Unit of Gene and Protein Biomarkers, Laboratory of Mass Spectrometry, IRCCS – Istituto di Ricerche Farmacologiche Mario Negri, Milan, Italy
| | - Jakub Surmacki
- Department of Physics, University of Cambridge, Cambridge, United Kingdom
| | - Sarah Elizabeth Bohndiek
- Department of Physics, University of Cambridge, Cambridge, United Kingdom
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, United Kingdom
| | - Elisa R. Zanier
- Laboratory of Acute Brain Injury and Therapeutic Strategies, Department of Neuroscience, IRCCS – Istituto di Ricerche Farmacologiche Mario Negri, Milan, Italy
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121
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Pytskii IS, Kuznetsova ES, Iartsev SD, Buryak AK. Methodological features of mass-spectrometric studies of oxidized metal surfaces. COLLOID JOURNAL 2017. [DOI: 10.1134/s1061933x17040111] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
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122
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Hsu CC, Baker MW, Gaasterland T, Meehan MJ, Macagno ER, Dorrestein PC. Top-Down Atmospheric Ionization Mass Spectrometry Microscopy Combined With Proteogenomics. Anal Chem 2017; 89:8251-8258. [PMID: 28692290 DOI: 10.1021/acs.analchem.7b01096] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
Mass spectrometry-based protein analysis has become an important methodology for proteogenomic mapping by providing evidence for the existence of proteins predicted at the genomic level. However, screening and identification of proteins directly on tissue samples, where histological information is preserved, remain challenging. Here we demonstrate that the ambient ionization source, nanospray desorption electrospray ionization (nanoDESI), interfaced with light microscopy allows for protein profiling directly on animal tissues at the microscopic scale. Peptide fragments for mass spectrometry analysis were obtained directly on ganglia of the medicinal leech (Hirudo medicinalis) without in-gel digestion. We found that a hypothetical protein, which is predicted by the leech genome, is highly expressed on the specialized neural cells that are uniquely found in adult sex segmental ganglia. Via this top-down analysis, a post-translational modification (PTM) of tyrosine sulfation to this neuropeptide was resolved. This three-in-one platform, including mass spectrometry, microscopy, and genome mining, provides an effective way for mappings of proteomes under the lens of a light microscope.
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Affiliation(s)
- Cheng-Chih Hsu
- Department of Chemistry, National Taiwan University , Taipei 10617, Taiwan
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123
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Monitoring changes of docosahexaenoic acid-containing lipids during the recovery process of traumatic brain injury in rat using mass spectrometry imaging. Sci Rep 2017; 7:5054. [PMID: 28698592 PMCID: PMC5506011 DOI: 10.1038/s41598-017-05446-2] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2017] [Accepted: 05/30/2017] [Indexed: 01/13/2023] Open
Abstract
Brain lipid homoeostasis is critical during recovery process after traumatic brain injury (TBI). In this study, we integrated liquid extraction and electrosonic spray ionization technology to develop an ionization device coupled with a Fourier transform ion cyclotron resonance mass spectrometer for imaging of docosahexaenoic acid (DHA)-containing lipids on rat brain tissues. The ion images of the brain tissue sections from the normal rats and the rats after TBI at acute phase (0 and 1 day) and chronic phase (3, 5, and 7 days) were obtained. The imaging results indicate that the levels of DHA and lyso-phosphatidylethanolamine (22:6) in the injury area of TBI rats increased significantly at the acute phase and subsequently decreased at the chronic phase. But the levels of DHA-containing phospholipids including phosphatidylethanolamine (PE)(P-18:0/22:6), PE(18:0/22:6), and phosphatidylserine (18:0/22:6) decreased at the acute phase and gradually increased at the chronic phase in the injury area accompanied by the morphogenesis and wound healing. These findings indicate that the DHA may participate in the recovery process of brain injury. This is the first report to in situ detect the changes in the levels of DHA and DHA-containing lipids in the TBI model.
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124
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Malys BJ, Owens KG. Improving the analyte ion signal in matrix-assisted laser desorption/ionization imaging mass spectrometry via electrospray deposition by enhancing incorporation of the analyte in the matrix. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2017; 31:804-812. [PMID: 28263004 DOI: 10.1002/rcm.7848] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2016] [Revised: 01/06/2017] [Accepted: 03/01/2017] [Indexed: 06/06/2023]
Abstract
RATIONALE Matrix-assisted laser desorption/ionization (MALDI) is widely used as the ionization method in high-resolution chemical imaging studies that seek to visualize the distribution of analytes within sectioned biological tissues. This work extends the use of electrospray deposition (ESD) to apply matrix with an additional solvent spray to incorporate and homogenize analyte within the matrix overlayer. METHODS Analytes and matrix are sequentially and independently applied by ESD to create a sample from which spectra are collected, mimicking a MALDI imaging mass spectrometry (IMS) experiment. Subsequently, an incorporation spray consisting of methanol is applied by ESD to the sample and another set of spectra are collected. The spectra prior to and after the incorporation spray are compared to evaluate the improvement in the analyte signal. RESULTS Prior to the incorporation spray, samples prepared using α-cyano-4-hydroxycinnamic acid (CHCA) and 2,5-dihydroxybenzoic acid (DHB) as the matrix showed low signal while the sample using sinapinic acid (SA) initially exhibited good signal. Following the incorporation spray, the sample using SA did not show an increase in signal; the sample using DHB showed moderate gain factors of 2-5 (full ablation spectra) and 12-336 (raster spectra), while CHCA samples saw large increases in signal, with gain factors of 14-172 (full ablation spectra) and 148-1139 (raster spectra). CONCLUSIONS The use of an incorporation spray to apply solvent by ESD to a matrix layer already deposited by ESD provides an increase in signal by both promoting incorporation of the analyte within and homogenizing the distribution of the incorporated analyte throughout the matrix layer. Copyright © 2017 John Wiley & Sons, Ltd.
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Affiliation(s)
- Brian J Malys
- Department of Chemistry, Drexel University, Philadelphia, PA, 19104, USA
| | - Kevin G Owens
- Department of Chemistry, Drexel University, Philadelphia, PA, 19104, USA
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125
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Oncogene KRAS activates fatty acid synthase, resulting in specific ERK and lipid signatures associated with lung adenocarcinoma. Proc Natl Acad Sci U S A 2017; 114:4300-4305. [PMID: 28400509 DOI: 10.1073/pnas.1617709114] [Citation(s) in RCA: 83] [Impact Index Per Article: 11.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
Abstract
KRAS gene mutation causes lung adenocarcinoma. KRAS activation has been associated with altered glucose and glutamine metabolism. Here, we show that KRAS activates lipogenesis, and this activation results in distinct proteomic and lipid signatures. By gene expression analysis, KRAS is shown to be associated with a lipogenesis gene signature and specific induction of fatty acid synthase (FASN). Through desorption electrospray ionization MS imaging (DESI-MSI), specific changes in lipogenesis and specific lipids are identified. By the nanoimmunoassay (NIA), KRAS is found to activate the protein ERK2, whereas ERK1 activation is found in non-KRAS-associated human lung tumors. The inhibition of FASN by cerulenin, a small molecule antibiotic, blocked cellular proliferation of KRAS-associated lung cancer cells. Hence, KRAS is associated with activation of ERK2, induction of FASN, and promotion of lipogenesis. FASN may be a unique target for KRAS-associated lung adenocarcinoma remediation.
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126
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A Nanostructured Matrices Assessment to Study Drug Distribution in Solid Tumor Tissues by Mass Spectrometry Imaging. NANOMATERIALS 2017; 7:nano7030071. [PMID: 28336905 PMCID: PMC5388173 DOI: 10.3390/nano7030071] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/06/2017] [Revised: 03/13/2017] [Accepted: 03/16/2017] [Indexed: 11/17/2022]
Abstract
The imaging of drugs inside tissues is pivotal in oncology to assess whether a drug reaches all cells in an adequate enough concentration to eradicate the tumor. Matrix-Assisted Laser Desorption Ionization Mass Spectrometry Imaging (MALDI-MSI) is one of the most promising imaging techniques that enables the simultaneous visualization of multiple compounds inside tissues. The choice of a suitable matrix constitutes a critical aspect during the development of a MALDI-MSI protocol since the matrix ionization efficiency changes depending on the analyte structure and its physico-chemical properties. The objective of this study is the improvement of the MALDI-MSI technique in the field of pharmacology; developing specifically designed nanostructured surfaces that allow the imaging of different drugs with high sensitivity and reproducibility. Among several nanomaterials, we tested the behavior of gold and titanium nanoparticles, and halloysites and carbon nanotubes as possible matrices. All nanomaterials were firstly screened by co-spotting them with drugs on a MALDI plate, evaluating the drug signal intensity and the signal-to-noise ratio. The best performing matrices were tested on control tumor slices, and were spotted with drugs to check the ion suppression effect of the biological matrix. Finally; the best nanomaterials were employed in a preliminary drug distribution study inside tumors from treated mice.
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127
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Sarkis GA, Mangaonkar MD, Moghieb A, Lelling B, Guertin M, Yadikar H, Yang Z, Kobeissy F, Wang KKW. The Application of Proteomics to Traumatic Brain and Spinal Cord Injuries. Curr Neurol Neurosci Rep 2017; 17:23. [DOI: 10.1007/s11910-017-0736-z] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
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128
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Feenstra AD, Dueñas ME, Lee YJ. Five Micron High Resolution MALDI Mass Spectrometry Imaging with Simple, Interchangeable, Multi-Resolution Optical System. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2017; 28:434-442. [PMID: 28050871 DOI: 10.1007/s13361-016-1577-8] [Citation(s) in RCA: 61] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/19/2016] [Revised: 11/17/2016] [Accepted: 12/08/2016] [Indexed: 05/18/2023]
Abstract
High-spatial resolution mass spectrometry imaging (MSI) is crucial for the mapping of chemical distributions at the cellular and subcellular level. In this work, we improved our previous laser optical system for matrix-assisted laser desorption ionization (MALDI)-MSI, from ~9 μm practical laser spot size to a practical laser spot size of ~4 μm, thereby allowing for 5 μm resolution imaging without oversampling. This is accomplished through a combination of spatial filtering, beam expansion, and reduction of the final focal length. Most importantly, the new laser optics system allows for simple modification of the spot size solely through the interchanging of the beam expander component. Using 10×, 5×, and no beam expander, we could routinely change between ~4, ~7, and ~45 μm laser spot size, in less than 5 min. We applied this multi-resolution MALDI-MSI system to a single maize root tissue section with three different spatial resolutions of 5, 10, and 50 μm and compared the differences in imaging quality and signal sensitivity. We also demonstrated the difference in depth of focus between the optical systems with 10× and 5× beam expanders. Graphical Abstract ᅟ.
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Affiliation(s)
- Adam D Feenstra
- Department of Chemistry, Iowa State University, Ames, IA, 50011, USA
- Ames Laboratory-US DOE, Ames, IA, 50011, USA
| | - Maria Emilia Dueñas
- Department of Chemistry, Iowa State University, Ames, IA, 50011, USA
- Ames Laboratory-US DOE, Ames, IA, 50011, USA
| | - Young Jin Lee
- Department of Chemistry, Iowa State University, Ames, IA, 50011, USA.
- Ames Laboratory-US DOE, Ames, IA, 50011, USA.
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129
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Dueñas ME, Klein AT, Alexander LE, Yandeau-Nelson MD, Nikolau BJ, Lee YJ. High spatial resolution mass spectrometry imaging reveals the genetically programmed, developmental modification of the distribution of thylakoid membrane lipids among individual cells of maize leaf. THE PLANT JOURNAL : FOR CELL AND MOLECULAR BIOLOGY 2017; 89:825-838. [PMID: 27859865 DOI: 10.1111/tpj.13422] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/22/2016] [Accepted: 11/04/2016] [Indexed: 05/13/2023]
Abstract
Metabolism in plants is compartmentalized among different tissues, cells and subcellular organelles. Mass spectrometry imaging (MSI) with matrix-assisted laser desorption ionization (MALDI) has recently advanced to allow for the visualization of metabolites at single-cell resolution. Here we applied 5- and 10 μm high spatial resolution MALDI-MSI to the asymmetric Kranz anatomy of Zea mays (maize) leaves to study the differential localization of two major anionic lipids in thylakoid membranes, sulfoquinovosyldiacylglycerols (SQDG) and phosphatidylglycerols (PG). The quantification and localization of SQDG and PG molecular species, among mesophyll (M) and bundle sheath (BS) cells, are compared across the leaf developmental gradient from four maize genotypes (the inbreds B73 and Mo17, and the reciprocal hybrids B73 × Mo17 and Mo17 × B73). SQDG species are uniformly distributed in both photosynthetic cell types, regardless of leaf development or genotype; however, PG shows photosynthetic cell-specific differential localization depending on the genotype and the fatty acyl chain constituent. Overall, 16:1-containing PGs primarily contribute to the thylakoid membranes of M cells, whereas BS chloroplasts are mostly composed of 16:0-containing PGs. Furthermore, PG 32:0 shows genotype-specific differences in cellular distribution, with preferential localization in BS cells for B73, but more uniform distribution between BS and M cells in Mo17. Maternal inheritance is exhibited within the hybrids, such that the localization of PG 32:0 in B73 × Mo17 is similar to the distribution in the B73 parental inbred, whereas that of Mo17 × B73 resembles the Mo17 parent. This study demonstrates the power of MALDI-MSI to reveal unprecedented insights on metabolic outcomes in multicellular organisms at single-cell resolution.
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Affiliation(s)
- Maria Emilia Dueñas
- Department of Chemistry, Iowa State University, Ames, IA, 50011, USA
- Ames Laboratory-US DOE, Ames, IA, 50011, USA
| | - Adam T Klein
- Department of Chemistry, Iowa State University, Ames, IA, 50011, USA
- Ames Laboratory-US DOE, Ames, IA, 50011, USA
| | - Liza E Alexander
- Ames Laboratory-US DOE, Ames, IA, 50011, USA
- Roy J. Carver Department of Biochemistry, Biophysics and Molecular Biology, Iowa State University, Ames, IA, 50011, USA
- Center for Metabolic Biology, Iowa State University, Ames, IA, 50011, USA
| | - Marna D Yandeau-Nelson
- Department of Genetics, Development and Cell Biology, Iowa State University, Ames, IA, 50011, USA
- Center for Metabolic Biology, Iowa State University, Ames, IA, 50011, USA
| | - Basil J Nikolau
- Ames Laboratory-US DOE, Ames, IA, 50011, USA
- Roy J. Carver Department of Biochemistry, Biophysics and Molecular Biology, Iowa State University, Ames, IA, 50011, USA
- Center for Metabolic Biology, Iowa State University, Ames, IA, 50011, USA
| | - Young Jin Lee
- Department of Chemistry, Iowa State University, Ames, IA, 50011, USA
- Ames Laboratory-US DOE, Ames, IA, 50011, USA
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130
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Arentz G, Mittal P, Zhang C, Ho YY, Briggs M, Winderbaum L, Hoffmann MK, Hoffmann P. Applications of Mass Spectrometry Imaging to Cancer. Adv Cancer Res 2017; 134:27-66. [PMID: 28110654 DOI: 10.1016/bs.acr.2016.11.002] [Citation(s) in RCA: 38] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Pathologists play an essential role in the diagnosis and prognosis of benign and cancerous tumors. Clinicians provide tissue samples, for example, from a biopsy, which are then processed and thin sections are placed onto glass slides, followed by staining of the tissue with visible dyes. Upon processing and microscopic examination, a pathology report is provided, which relies on the pathologist's interpretation of the phenotypical presentation of the tissue. Targeted analysis of single proteins provide further insight and together with clinical data these results influence clinical decision making. Recent developments in mass spectrometry facilitate the collection of molecular information about such tissue specimens. These relatively new techniques generate label-free mass spectra across tissue sections providing nonbiased, nontargeted molecular information. At each pixel with spatial coordinates (x/y) a mass spectrum is acquired. The acquired mass spectrums can be visualized as intensity maps displaying the distribution of single m/z values of interest. Based on the sample preparation, proteins, peptides, lipids, small molecules, or glycans can be analyzed. The generated intensity maps/images allow new insights into tumor tissues. The technique has the ability to detect and characterize tumor cells and their environment in a spatial context and combined with histological staining, can be used to aid pathologists and clinicians in the diagnosis and management of cancer. Moreover, such data may help classify patients to aid therapy decisions and predict outcomes. The novel complementary mass spectrometry-based methods described in this chapter will contribute to the transformation of pathology services around the world.
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Affiliation(s)
- G Arentz
- Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia; Institute for Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, SA, Australia
| | - P Mittal
- Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia; Institute for Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, SA, Australia
| | - C Zhang
- Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia; Institute for Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, SA, Australia
| | - Y-Y Ho
- Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia
| | - M Briggs
- Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia; Institute for Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, SA, Australia; ARC Centre for Nanoscale BioPhotonics (CNBP), University of Adelaide, Adelaide, SA, Australia
| | - L Winderbaum
- Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia
| | - M K Hoffmann
- Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia; Institute for Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, SA, Australia
| | - P Hoffmann
- Adelaide Proteomics Centre, School of Biological Sciences, University of Adelaide, Adelaide, SA, Australia; Institute for Photonics and Advanced Sensing (IPAS), University of Adelaide, Adelaide, SA, Australia.
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131
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Abstract
Over the last decade mass spectrometry imaging (MSI) has been integrated in to many areas of drug discovery and development. It can have significant impact in oncology drug discovery as it allows efficacy and safety of compounds to be assessed against the backdrop of the complex tumour microenvironment. We will discuss the roles of MSI in investigating compound and metabolite biodistribution and defining pharmacokinetic -pharmacodynamic relationships, analysis that is applicable to all drug discovery projects. We will then look more specifically at how MSI can be used to understand tumour metabolism and other applications specific to oncology research. This will all be described alongside the challenges of applying MSI to industry research with increased use of metrology for MSI.
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132
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Ramadan N, Ghazale H, El-Sayyad M, El-Haress M, Kobeissy FH. Neuroproteomics Studies: Challenges and Updates. Methods Mol Biol 2017; 1598:3-19. [PMID: 28508355 DOI: 10.1007/978-1-4939-6952-4_1] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
The Human Genome Project in 2003 has resulted in the complete sequence of ~99% of the human genome paving the road for the Human Proteome Project (HPP) assessing the full characterization of the translated protein map of the 20,300 protein-coding genes. Consequently, the emerging of the proteomics field has successfully been adopted as the method of choice for the proteome characterization. Proteomics is a term that is used to encompass multidisciplinary approaches combining different technologies that aim to study the entire spectrum of protein changes at a specific physiological condition. Proteomics research has shown excellent outcomes in different fields, among which is neuroscience; however, the complexity of the nervous systems necessitated the genesis of a new subdiscipline of proteomics termed as "neuroproteomics." Neuroproteomics studies involve assessing the quantitative and qualitative aspects of nervous system components encompassing global dynamic events underlying various brain-related disorders ranging from neuropsychiatric disorders, degenerative disorders, mental illness, and most importantly brain-specific neurotrauma-related injuries. In this introductory chapter, we will provide a brief historical perspective on the field of neuroproteomics. In doing so, we will highlight on the recent applications of neuroproteomics in the areas of neurotrauma, an area that has benefitted from neuroproteomics in terms of biomarker research, spatiotemporal injury mechanism, and its use to translate its findings from experimental settings to human translational applications. Importantly, this chapter will include some recommendation to the general studies in the area of neuroproteomics and the need to move from this field from being a descriptive, hypothesis-free approach to being an independent mature scientific discipline.
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Affiliation(s)
- Naify Ramadan
- Department of Biochemistry and Molecular Genetics, Faculty of Medicine, American University of Beirut, Beirut, Lebanon
| | - Hussein Ghazale
- Department of Biochemistry and Molecular Genetics, Faculty of Medicine, American University of Beirut, Beirut, Lebanon
| | | | - Mohamad El-Haress
- Department of Biochemistry and Molecular Genetics, Faculty of Medicine, American University of Beirut, Beirut, Lebanon
- Faculty of Medicine, Beirut Arab University, Beirut, Lebanon
| | - Firas H Kobeissy
- Department of Biochemistry and Molecular Genetics, Faculty of Medicine, American University of Beirut, Beirut, Lebanon.
- Department of Psychiatry, Center for Neuroproteomics and Biomarkers Research, University of Florida, Gainesville, FL, USA.
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133
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Lössl P, van de Waterbeemd M, Heck AJ. The diverse and expanding role of mass spectrometry in structural and molecular biology. EMBO J 2016; 35:2634-2657. [PMID: 27797822 PMCID: PMC5167345 DOI: 10.15252/embj.201694818] [Citation(s) in RCA: 171] [Impact Index Per Article: 21.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2016] [Revised: 07/25/2016] [Accepted: 10/07/2016] [Indexed: 12/20/2022] Open
Abstract
The emergence of proteomics has led to major technological advances in mass spectrometry (MS). These advancements not only benefitted MS-based high-throughput proteomics but also increased the impact of mass spectrometry on the field of structural and molecular biology. Here, we review how state-of-the-art MS methods, including native MS, top-down protein sequencing, cross-linking-MS, and hydrogen-deuterium exchange-MS, nowadays enable the characterization of biomolecular structures, functions, and interactions. In particular, we focus on the role of mass spectrometry in integrated structural and molecular biology investigations of biological macromolecular complexes and cellular machineries, highlighting work on CRISPR-Cas systems and eukaryotic transcription complexes.
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Affiliation(s)
- Philip Lössl
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, Utrecht, The Netherlands
- Netherlands Proteomics Center, Utrecht, The Netherlands
| | - Michiel van de Waterbeemd
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, Utrecht, The Netherlands
- Netherlands Proteomics Center, Utrecht, The Netherlands
| | - Albert Jr Heck
- Biomolecular Mass Spectrometry and Proteomics, Bijvoet Center for Biomolecular Research and Utrecht Institute for Pharmaceutical Sciences, University of Utrecht, Utrecht, The Netherlands
- Netherlands Proteomics Center, Utrecht, The Netherlands
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134
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Peukert M, Lim WL, Seiffert U, Matros A. Mass Spectrometry Imaging of Metabolites in Barley Grain Tissues. ACTA ACUST UNITED AC 2016; 1:574-591. [DOI: 10.1002/cppb.20037] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Affiliation(s)
- Manuela Peukert
- Cluster of Excellence on Plant Sciences (CEPLAS), University of Cologne; Cologne Germany
| | - Wai Li Lim
- Australian Research Council Centre of Excellence in Plant Cell Walls (ARC CoE), University of Adelaide; Urrbrae Australia
| | - Udo Seiffert
- Biosystems Engineering, Fraunhofer Institute for Factory Operation and Automation IFF; Magdeburg Germany
| | - Andrea Matros
- Leibniz-Institute of Plant Genetics and Crop Plant Research (IPK), Applied Biochemistry Group; Gatersleben Germany
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135
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3D Mass Spectrometry Imaging Reveals a Very Heterogeneous Drug Distribution in Tumors. Sci Rep 2016; 6:37027. [PMID: 27841316 PMCID: PMC5107992 DOI: 10.1038/srep37027] [Citation(s) in RCA: 52] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2016] [Accepted: 10/24/2016] [Indexed: 01/26/2023] Open
Abstract
Mass Spectrometry Imaging (MSI) is a widespread technique used to qualitatively describe in two dimensions the distribution of endogenous or exogenous compounds within tissue sections. Absolute quantification of drugs using MSI is a recent challenge that just in the last years has started to be addressed. Starting from a two dimensional MSI protocol, we developed a three-dimensional pipeline to study drug penetration in tumors and to develop a new drug quantification method by MALDI MSI. Paclitaxel distribution and concentration in different tumors were measured in a 3D model of Malignant Pleural Mesothelioma (MPM), which is known to be a very heterogeneous neoplasm, highly resistant to different drugs. The 3D computational reconstruction allows an accurate description of tumor PTX penetration, adding information about the heterogeneity of tumor drug distribution due to the complex microenvironment. The use of an internal standard, homogenously sprayed on tissue slices, ensures quantitative results that are similar to those obtained using HPLC. The 3D model gives important information about the drug concentration in different tumor sub-volumes and shows that the great part of each tumor is not reached by the drug, suggesting the concept of pseudo-resistance as a further explanation for ineffective therapies and tumors relapse.
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136
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Scott AJ, Flinders B, Cappell J, Liang T, Pelc RS, Tran B, Kilgour DPA, Heeren RMA, Goodlett DR, Ernst RK. Norharmane Matrix Enhances Detection of Endotoxin by MALDI-MS for Simultaneous Profiling of Pathogen, Host, and Vector Systems. Pathog Dis 2016; 74:ftw097. [PMID: 27650574 PMCID: PMC8427938 DOI: 10.1093/femspd/ftw097] [Citation(s) in RCA: 36] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
The discovery of novel pathogenic mechanisms engaged during bacterial infections requires
the evolution of advanced techniques. Here, we evaluate the dual polarity matrix
norharmane (NRM) to improve detection of bacterial lipid A (endotoxin), from host and
vector tissues infected withFrancisella novicida (Fn).
We evaluated NRM for improved detection and characterization of a wide range of lipids in
both positive and negative polarities, including lipid A and phospholipids across a range
of matrix-assisted laser desorption-ionization-coupled applications. NRM matrix improved
the limit of detection (LOD) for monophosphoryl lipid A (MPLA) down to picogram level
representing a 10-fold improvement of LOD versus 2,5-dihydroxybenzoic acid and 100-fold
improvement of LOD versus 9-aminoacridine (9-AA). Improved LOD for lipid A subsequently
facilitated detection of theFn lipid A major ion (m/z
1665) from extracts of infected mouse spleen and the
temperature-modifiedFn lipid A atm/z 1637 from
infectedDermacentor variabilis ticks. Finally, we simultaneously mapped
bacterial phospholipid signatures within anFn-infected spleen along with
an exclusively host-derived inositol-based phospholipid (m/z 933)
demonstrating coprofiling of the host-pathogen interaction. Expanded use of NRM matrix in
other infection models and endotoxin-targeting imaging experiments will improve our
understanding of the lipid interactions at the host-pathogen interface.
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Affiliation(s)
- Alison J Scott
- Department of Microbial Pathogenesis, School of Dentistry, University of Maryland Baltimore, Baltimore, Maryland, USA
| | - Bryn Flinders
- FOM-Institute AMOLF, Amsterdam, The Netherlands Maastricht Multimodal Molecular Imaging Institute (M4I), Maastricht University, Maastricht, The Netherlands
| | - Joanna Cappell
- FOM-Institute AMOLF, Amsterdam, The Netherlands Maastricht Multimodal Molecular Imaging Institute (M4I), Maastricht University, Maastricht, The Netherlands
| | - Tao Liang
- Department of Pharmaceutical Sciences, School of Pharmacy, University of Maryland Baltimore, Baltimore, Maryland, USA
| | - Rebecca S Pelc
- Department of Microbial Pathogenesis, School of Dentistry, University of Maryland Baltimore, Baltimore, Maryland, USA
| | - Bao Tran
- Department of Pharmaceutical Sciences, School of Pharmacy, University of Maryland Baltimore, Baltimore, Maryland, USA
| | - David P A Kilgour
- Nottingham Trent University, Chemistry and Forensics, Clifton Campus, Rosalind Franklin Building, Nottingham, UK
| | - Ron M A Heeren
- FOM-Institute AMOLF, Amsterdam, The Netherlands Maastricht Multimodal Molecular Imaging Institute (M4I), Maastricht University, Maastricht, The Netherlands
| | - David R Goodlett
- Department of Pharmaceutical Sciences, School of Pharmacy, University of Maryland Baltimore, Baltimore, Maryland, USA
| | - Robert K Ernst
- Department of Microbial Pathogenesis, School of Dentistry, University of Maryland Baltimore, Baltimore, Maryland, USA
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137
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Jorge TF, Rodrigues JA, Caldana C, Schmidt R, van Dongen JT, Thomas-Oates J, António C. Mass spectrometry-based plant metabolomics: Metabolite responses to abiotic stress. MASS SPECTROMETRY REVIEWS 2016; 35:620-49. [PMID: 25589422 DOI: 10.1002/mas.21449] [Citation(s) in RCA: 145] [Impact Index Per Article: 18.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2014] [Revised: 10/02/2014] [Accepted: 10/14/2014] [Indexed: 05/08/2023]
Abstract
Metabolomics is one omics approach that can be used to acquire comprehensive information on the composition of a metabolite pool to provide a functional screen of the cellular state. Studies of the plant metabolome include analysis of a wide range of chemical species with diverse physical properties, from ionic inorganic compounds to biochemically derived hydrophilic carbohydrates, organic and amino acids, and a range of hydrophobic lipid-related compounds. This complexitiy brings huge challenges to the analytical technologies employed in current plant metabolomics programs, and powerful analytical tools are required for the separation and characterization of this extremely high compound diversity present in biological sample matrices. The use of mass spectrometry (MS)-based analytical platforms to profile stress-responsive metabolites that allow some plants to adapt to adverse environmental conditions is fundamental in current plant biotechnology research programs for the understanding and development of stress-tolerant plants. In this review, we describe recent applications of metabolomics and emphasize its increasing application to study plant responses to environmental (stress-) factors, including drought, salt, low oxygen caused by waterlogging or flooding of the soil, temperature, light and oxidative stress (or a combination of them). Advances in understanding the global changes occurring in plant metabolism under specific abiotic stress conditions are fundamental to enhance plant fitness and increase stress tolerance. © 2015 Wiley Periodicals, Inc. Mass Spec Rev 35:620-649, 2016.
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Affiliation(s)
- Tiago F Jorge
- Plant Metabolomics Laboratory, Instituto de Tecnologia Química e Biológica António Xavier-Universidade Nova de Lisboa (ITQB-UNL), Avenida República, 2780-157, Oeiras, Portugal
| | - João A Rodrigues
- Instituto de Medicina Molecular, Faculdade de Medicina da Universidade de Lisboa, Avenida Professor Egas Moniz, 1649-028, Lisboa, Portugal
| | - Camila Caldana
- Max-Planck-partner group at the Brazilian Bioethanol Science and Technology Laboratory/CNPEM, 13083-970, Campinas-SP, Brazil
| | - Romy Schmidt
- Institute of Biology I, RWTH Aachen University, Worringerweg 1, 52074, Aachen, Germany
| | - Joost T van Dongen
- Institute of Biology I, RWTH Aachen University, Worringerweg 1, 52074, Aachen, Germany
| | - Jane Thomas-Oates
- Jane Thomas-Oates, Centre of Excellence in Mass Spectrometry, and Department of Chemistry, University of York, Heslington, York, YO10 5DD, UK
| | - Carla António
- Plant Metabolomics Laboratory, Instituto de Tecnologia Química e Biológica António Xavier-Universidade Nova de Lisboa (ITQB-UNL), Avenida República, 2780-157, Oeiras, Portugal
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138
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Dong Y, Li B, Aharoni A. More than Pictures: When MS Imaging Meets Histology. TRENDS IN PLANT SCIENCE 2016; 21:686-698. [PMID: 27155743 DOI: 10.1016/j.tplants.2016.04.007] [Citation(s) in RCA: 40] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/15/2016] [Revised: 03/29/2016] [Accepted: 04/07/2016] [Indexed: 05/28/2023]
Abstract
Attaining high-resolution spatial information is a recurrent challenge in biological research, particularly in the case of small-molecule distribution. Mass spectrometry imaging (MSI) is an innovative molecular histology technique that could provide such information. It allows in situ and label-free measurement of both the abundance and distribution of a variety of molecules at the tissue or single cell level. The application of MSI in plant research has received considerable attention; thus, in this review, we describe the current state of MSI in plants. In particular, we present an overview of MSI approaches, highlight the recent technical and methodological developments, and discuss a range of applications contributing to the field of plant science.
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Affiliation(s)
- Yonghui Dong
- Department of Plant and Environmental Sciences, Weizmann Institute of Science, Rehovot, Israel
| | - Bin Li
- Department of Chemistry and Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL, USA
| | - Asaph Aharoni
- Department of Plant and Environmental Sciences, Weizmann Institute of Science, Rehovot, Israel.
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139
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Murray KK, Seneviratne CA, Ghorai S. High resolution laser mass spectrometry bioimaging. Methods 2016; 104:118-26. [PMID: 26972785 PMCID: PMC4937799 DOI: 10.1016/j.ymeth.2016.03.002] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2015] [Revised: 02/23/2016] [Accepted: 03/08/2016] [Indexed: 12/11/2022] Open
Abstract
Mass spectrometry imaging (MSI) was introduced more than five decades ago with secondary ion mass spectrometry (SIMS) and a decade later with laser desorption/ionization (LDI) mass spectrometry (MS). Large biomolecule imaging by matrix-assisted laser desorption/ionization (MALDI) was developed in the 1990s and ambient laser MS a decade ago. Although SIMS has been capable of imaging with a moderate mass range at sub-micrometer lateral resolution from its inception, laser MS requires additional effort to achieve a lateral resolution of 10μm or below which is required to image at the size scale of single mammalian cells. This review covers untargeted large biomolecule MSI using lasers for desorption/ionization or laser desorption and post-ionization. These methods include laser microprobe (LDI) MSI, MALDI MSI, laser ambient and atmospheric pressure MSI, and near-field laser ablation MS. Novel approaches to improving lateral resolution are discussed, including oversampling, beam shaping, transmission geometry, reflective and through-hole objectives, microscope mode, and near-field optics.
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Affiliation(s)
- Kermit K Murray
- Department of Chemistry, Louisiana State University, Baton Rouge, LA 70803, USA.
| | | | - Suman Ghorai
- Department of Chemistry, Louisiana State University, Baton Rouge, LA 70803, USA
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140
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Metal-assisted polyatomic SIMS and laser desorption/ionization for enhanced small molecule imaging of bacterial biofilms. Biointerphases 2016; 11:02A325. [PMID: 26945568 DOI: 10.1116/1.4942884] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/16/2023] Open
Abstract
Mass spectrometry imaging (MSI) has become an important analytical tool for many sectors of science and medicine. As the application of MSI expands into new areas of inquiry, existing methodologies must be adapted and improved to meet emerging challenges. Particularly salient is the need for small molecule imaging methods that are compatible with complex multicomponent systems, a challenge that is amplified by the effects of analyte migration and matrix interference. With a focus on microbial biofilms from the opportunistic pathogen Pseudomonas aeruginosa, the relative advantages of two established microprobe-based MSI techniques-polyatomic secondary ion mass spectrometry (SIMS) and laser desorption/ionization-are compared, with emphasis on exploring the effect of surface metallization on small molecule imaging. A combination of qualitative image comparison and multivariate statistical analysis demonstrates that sputtering microbial biofilms with a 2.5 nm layer of gold selectively enhances C60-SIMS ionization for several molecular classes including rhamnolipids and 2-alkyl-quinolones. Metallization also leads to the reduction of in-source fragmentation and subsequent ionization of media-specific background polymers, which improves spectral purity and image quality. These findings show that the influence of metallization upon ionization is strongly dependent on both the surface architecture and the analyte class, and further demonstrate that metal-assisted C60-SIMS is a viable method for small molecule imaging of intact molecular ions in complex biological systems.
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141
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Stopka SA, Rong C, Korte AR, Yadavilli S, Nazarian J, Razunguzwa TT, Morris NJ, Vertes A. Molecular Imaging of Biological Samples on Nanophotonic Laser Desorption Ionization Platforms. Angew Chem Int Ed Engl 2016; 55:4482-6. [DOI: 10.1002/anie.201511691] [Citation(s) in RCA: 77] [Impact Index Per Article: 9.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2015] [Indexed: 01/09/2023]
Affiliation(s)
- Sylwia A. Stopka
- Department of Chemistry; The George Washington University; Washington DC 20052 USA
| | - Charles Rong
- Department of Chemistry; The George Washington University; Washington DC 20052 USA
| | - Andrew R. Korte
- Department of Chemistry; The George Washington University; Washington DC 20052 USA
| | - Sridevi Yadavilli
- Research Center for Genetic Medicine; Children's National Medical Center; Washington DC 2001 USA
| | - Javad Nazarian
- Research Center for Genetic Medicine; Children's National Medical Center; Washington DC 2001 USA
| | | | | | - Akos Vertes
- Department of Chemistry; The George Washington University; Washington DC 20052 USA
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142
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Stopka SA, Rong C, Korte AR, Yadavilli S, Nazarian J, Razunguzwa TT, Morris NJ, Vertes A. Molecular Imaging of Biological Samples on Nanophotonic Laser Desorption Ionization Platforms. Angew Chem Int Ed Engl 2016. [DOI: 10.1002/ange.201511691] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Affiliation(s)
- Sylwia A. Stopka
- Department of Chemistry; The George Washington University; Washington DC 20052 USA
| | - Charles Rong
- Department of Chemistry; The George Washington University; Washington DC 20052 USA
| | - Andrew R. Korte
- Department of Chemistry; The George Washington University; Washington DC 20052 USA
| | - Sridevi Yadavilli
- Research Center for Genetic Medicine; Children's National Medical Center; Washington DC 2001 USA
| | - Javad Nazarian
- Research Center for Genetic Medicine; Children's National Medical Center; Washington DC 2001 USA
| | | | | | - Akos Vertes
- Department of Chemistry; The George Washington University; Washington DC 20052 USA
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143
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Method for Improving Spatial Resolution of Liquid-assisted Surface Desorption Atmospheric Pressure Chemical Ionization Mass Spectrometry. CHINESE JOURNAL OF ANALYTICAL CHEMISTRY 2016. [DOI: 10.1016/s1872-2040(16)60896-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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144
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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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145
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Goodwin RJA, Nilsson A, Mackay CL, Swales JG, Johansson MK, Billger M, Andrén PE, Iverson SL. Exemplifying the Screening Power of Mass Spectrometry Imaging over Label-Based Technologies for Simultaneous Monitoring of Drug and Metabolite Distributions in Tissue Sections. ACTA ACUST UNITED AC 2015; 21:187-93. [DOI: 10.1177/1087057115623740] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2015] [Accepted: 12/01/2015] [Indexed: 12/15/2022]
Abstract
Mass spectrometry imaging (MSI) provides pharmaceutical researchers with a suite of technologies to screen and assess compound distributions and relative abundances directly from tissue sections and offer insight into drug discovery–applicable queries such as blood-brain barrier access, tumor penetration/retention, and compound toxicity related to drug retention in specific organs/cell types. Label-free MSI offers advantages over label-based assays, such as quantitative whole-body autoradiography (QWBA), in the ability to simultaneously differentiate and monitor both drug and drug metabolites. Such discrimination is not possible by label-based assays if a drug metabolite still contains the radiolabel. Here, we present data exemplifying the advantages of MSI analysis. Data of the distribution of AZD2820, a therapeutic cyclic peptide, are related to corresponding QWBA data. Distribution of AZD2820 and two metabolites is achieved by MSI, which [14C]AZD2820 QWBA fails to differentiate. Furthermore, the high mass-resolving power of Fourier transform ion cyclotron resonance MS is used to separate closely associated ions.
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Affiliation(s)
| | - Anna Nilsson
- Biomolecular Imaging and Proteomics, National Center for Mass Spectrometry Imaging, Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden
| | | | - John G. Swales
- Drug Safety and Metabolism, AstraZeneca R&D, Cambridge, UK
| | | | | | - Per E. Andrén
- Biomolecular Imaging and Proteomics, National Center for Mass Spectrometry Imaging, Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden
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146
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Cao F, Donnarumma F, Murray KK. Particle size measurement from infrared laser ablation of tissue. Analyst 2015; 141:183-90. [PMID: 26630332 DOI: 10.1039/c5an01765c] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022]
Abstract
The concentration and size distribution were measured for particles ablated from tissue sections using an infrared optical parametric oscillator laser system. A scanning mobility particle sizer and light scattering particle sizer were used in parallel to realize a particle sizing range from 10 nm to 20 μm. Tissue sections from rat brain and lung ranging in thickness between 10 and 50 μm were mounted on microscope slides and irradiated with nanosecond laser pulses at 3 μm wavelength and fluences between 7 and 21 kJ m(-2) in reflection geometry. The particle size distributions were characterized by a bimodal distribution with a large number of particles 100 nm in diameter and below and a large mass contribution from particles greater than 1 μm in diameter. The large particle contribution dominated the ablated particle mass at high laser fluence. The tissue type, thickness, and water content did not have a significant effect on the particle size distributions. The implications of these results for laser ablation sampling and mass spectrometry imaging under ambient conditions are discussed.
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Affiliation(s)
- Fan Cao
- Department of Chemistry, Louisiana State University, Baton Rouge, Louisiana. 70803, USA.
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147
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Pore-forming toxins: Properties, diversity, and uses as tools to image sphingomyelin and ceramide phosphoethanolamine. BIOCHIMICA ET BIOPHYSICA ACTA-BIOMEMBRANES 2015; 1858:576-92. [PMID: 26498396 DOI: 10.1016/j.bbamem.2015.10.012] [Citation(s) in RCA: 27] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2015] [Revised: 09/30/2015] [Accepted: 10/14/2015] [Indexed: 12/27/2022]
Abstract
Pore-forming toxins (PFTs) represent a unique class of highly specific lipid-binding proteins. The cytotoxicity of these compounds has been overcome through crystallographic structure and mutation studies, facilitating the development of non-toxic lipid probes. As a consequence, non-toxic PFTs have been utilized as highly specific probes to visualize the diversity and dynamics of lipid nanostructures in living and fixed cells. This review is focused on the application of PFTs and their non-toxic analogs as tools to visualize sphingomyelin and ceramide phosphoethanolamine, two major phosphosphingolipids in mammalian and insect cells, respectively. This article is part of a Special Issue entitled: Pore-Forming Toxins edited by Mauro Dalla Serra and Franco Gambale.
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148
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Shobo A, Bratkowska D, Baijnath S, Naiker S, Somboro AM, Bester LA, Singh SD, Naicker T, Kruger HG, Govender T. Tissue distribution of pretomanid in rat brain via mass spectrometry imaging. Xenobiotica 2015. [PMID: 26207565 DOI: 10.3109/00498254.2015.1067935] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
1. Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI MSI) combines the sensitivity and selectivity of mass spectrometry with spatial analysis to provide a new dimension for histological analyses of the distribution of drugs in tissue. Pretomanid is a pro-drug belonging to a class of antibiotics known as nitroimidizoles, which have been proven to be active under hypoxic conditions and to the best of our knowledge there have been no studies investigating the distribution and localisation of this class of compounds in the brain using MALDI MSI. 2. Herein, we report on the distribution of pretomanid in the healthy rat brain after intraperitoneal administration (20 mg/kg) using MALDI MSI. Our findings showed that the drug localises in specific compartments of the rat brain viz. the corpus callosum, a dense network of neurons connecting left and right cerebral hemispheres. 3. This study proves that MALDI MSI technique has great potential for mapping the pretomanid distribution in uninfected tissue samples, without the need for molecular labelling.
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Affiliation(s)
- Adeola Shobo
- a School of Pharmacy and Pharmacology, University of KwaZulu-Natal , Durban , South Africa and
| | - Dominika Bratkowska
- a School of Pharmacy and Pharmacology, University of KwaZulu-Natal , Durban , South Africa and
| | - Sooraj Baijnath
- a School of Pharmacy and Pharmacology, University of KwaZulu-Natal , Durban , South Africa and
| | - Suhashni Naiker
- a School of Pharmacy and Pharmacology, University of KwaZulu-Natal , Durban , South Africa and
| | - Anou M Somboro
- a School of Pharmacy and Pharmacology, University of KwaZulu-Natal , Durban , South Africa and
| | - Linda A Bester
- b Biomedical Resource Unit , University of KwaZulu-Natal , Durban , South Africa
| | - Sanil D Singh
- b Biomedical Resource Unit , University of KwaZulu-Natal , Durban , South Africa
| | - Tricia Naicker
- a School of Pharmacy and Pharmacology, University of KwaZulu-Natal , Durban , South Africa and
| | - Hendrik G Kruger
- a School of Pharmacy and Pharmacology, University of KwaZulu-Natal , Durban , South Africa and
| | - Thavendran Govender
- a School of Pharmacy and Pharmacology, University of KwaZulu-Natal , Durban , South Africa and
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149
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Murayama Y, Satoh S, Hashiguchi A, Yamazaki K, Hashimoto H, Sakamoto M. Visualization of acetaminophen-induced liver injury by time-of-flight secondary ion mass spectrometry. Anal Biochem 2015. [PMID: 26209348 DOI: 10.1016/j.ab.2015.07.005] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
Abstract
Time-of-flight secondary ion mass spectrometry (MS) provides secondary ion images that reflect distributions of substances with sub-micrometer spatial resolution. To evaluate the use of time-of-flight secondary ion MS to capture subcellular chemical changes in a tissue specimen, we visualized cellular damage showing a three-zone distribution in mouse liver tissue injured by acetaminophen overdose. First, we selected two types of ion peaks related to the hepatocyte nucleus and cytoplasm using control mouse liver. Acetaminophen-overdosed mouse liver was then classified into three areas using the time-of-flight secondary ion MS image of the two types of peaks, which roughly corresponded to established histopathological features. The ion peaks related to the cytoplasm decreased as the injury became more severe, and their origin was assumed to be mostly glycogen based on comparison with periodic acid-Schiff staining images and reference compound spectra. This indicated that the time-of-flight secondary ion MS image of the acetaminophen-overdosed mouse liver represented the chemical changes mainly corresponding to glycogen depletion on a subcellular scale. In addition, this technique also provided information on lipid species related to the injury. These results suggest that time-of-flight secondary ion MS has potential utility in histopathological applications.
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Affiliation(s)
- Yohei Murayama
- Frontier Research Center, Canon, Ohta-ku, Tokyo 146-8501, Japan.
| | - Shuya Satoh
- Frontier Research Center, Canon, Ohta-ku, Tokyo 146-8501, Japan
| | - Akinori Hashiguchi
- Department of Pathology, School of Medicine, Keio University, Shinjuku-ku, Tokyo 160-8582, Japan
| | - Ken Yamazaki
- Department of Pathology, School of Medicine, Keio University, Shinjuku-ku, Tokyo 160-8582, Japan
| | | | - Michiie Sakamoto
- Department of Pathology, School of Medicine, Keio University, Shinjuku-ku, Tokyo 160-8582, Japan
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150
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Guo S, Wang Y, Zhou D, Li Z. Electric Field-Assisted Matrix Coating Method Enhances the Detection of Small Molecule Metabolites for Mass Spectrometry Imaging. Anal Chem 2015; 87:5860-5. [DOI: 10.1021/ac504761t] [Citation(s) in RCA: 40] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Affiliation(s)
- Shuai Guo
- Department
of Biophysics and Structural Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, 5 Dongdan
San Tiao, Beijing 100005, PR China
| | - Yanmin Wang
- Department
of Clinical Laboratory, Heze Municipal Hospital, No. 2888, Caozhou Road, Shandong 274031, PR China
| | - Dan Zhou
- Department
of Biophysics and Structural Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, 5 Dongdan
San Tiao, Beijing 100005, PR China
| | - Zhili Li
- Department
of Biophysics and Structural Biology, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and Peking Union Medical College, 5 Dongdan
San Tiao, Beijing 100005, PR China
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