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Maia M, McCann A, Malherbe C, Far J, Cunha J, Eiras-Dias J, Cordeiro C, Eppe G, Quinton L, Figueiredo A, De Pauw E, Sousa Silva M. Grapevine leaf MALDI-MS imaging reveals the localisation of a putatively identified sucrose metabolite associated to Plasmopara viticola development. FRONTIERS IN PLANT SCIENCE 2022; 13:1012636. [PMID: 36299787 PMCID: PMC9589281 DOI: 10.3389/fpls.2022.1012636] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Accepted: 09/20/2022] [Indexed: 06/16/2023]
Abstract
Despite well-established pathways and metabolites involved in grapevine-Plasmopara viticola interaction, information on the molecules involved in the first moments of pathogen contact with the leaf surface and their specific location is still missing. To understand and localise these molecules, we analysed grapevine leaf discs infected with P. viticola with MSI. Plant material preparation was optimised, and different matrices and solvents were tested. Our data shows that trichomes hamper matrix deposition and the ion signal. Results show that putatively identified sucrose presents a higher accumulation and a non-homogeneous distribution in the infected leaf discs in comparison with the controls. This accumulation was mainly on the veins, leading to the hypothesis that sucrose metabolism is being manipulated by the development structures of P. viticola. Up to our knowledge this is the first time that the localisation of a putatively identified sucrose metabolite was shown to be associated to P. viticola infection sites.
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Affiliation(s)
- Marisa Maia
- Laboratório de FTICR e Espectrometria de Massa Estrutural, Faculdade de Ciências da Universidade de Lisboa, Lisboa, Portugal
- Grapevine Pathogen Systems Lab (GPS Lab), Biosystems and Integrative Sciences Institute (BioISI), Faculdade de Ciências da Universidade de Lisboa, Lisboa, Portugal
| | - Andréa McCann
- Mass Spectrometry Laboratory (MolSys), University of Liège, Liège, Belgium
| | - Cédric Malherbe
- Mass Spectrometry Laboratory (MolSys), University of Liège, Liège, Belgium
| | - Johann Far
- Mass Spectrometry Laboratory (MolSys), University of Liège, Liège, Belgium
| | - Jorge Cunha
- Estação Vitivinícola Nacional, Instituto Nacional de Investigação Agrária e Veterinária (INIAV), Torres-Vedras, Portugal
| | - José Eiras-Dias
- Estação Vitivinícola Nacional, Instituto Nacional de Investigação Agrária e Veterinária (INIAV), Torres-Vedras, Portugal
| | - Carlos Cordeiro
- Laboratório de FTICR e Espectrometria de Massa Estrutural, Faculdade de Ciências da Universidade de Lisboa, Lisboa, Portugal
- MARE - Marine and Environmental Sciences Centre, Faculdade de Ciências da Universidade de Lisboa, Lisboa, Portugal
| | - Gauthier Eppe
- Mass Spectrometry Laboratory (MolSys), University of Liège, Liège, Belgium
| | - Loïc Quinton
- Mass Spectrometry Laboratory (MolSys), University of Liège, Liège, Belgium
| | - Andreia Figueiredo
- Grapevine Pathogen Systems Lab (GPS Lab), Biosystems and Integrative Sciences Institute (BioISI), Faculdade de Ciências da Universidade de Lisboa, Lisboa, Portugal
| | - Edwin De Pauw
- Mass Spectrometry Laboratory (MolSys), University of Liège, Liège, Belgium
| | - Marta Sousa Silva
- Laboratório de FTICR e Espectrometria de Massa Estrutural, Faculdade de Ciências da Universidade de Lisboa, Lisboa, Portugal
- MARE - Marine and Environmental Sciences Centre, Faculdade de Ciências da Universidade de Lisboa, Lisboa, Portugal
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2
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DeLaney K, Phetsanthad A, Li L. ADVANCES IN HIGH-RESOLUTION MALDI MASS SPECTROMETRY FOR NEUROBIOLOGY. MASS SPECTROMETRY REVIEWS 2022; 41:194-214. [PMID: 33165982 PMCID: PMC8106695 DOI: 10.1002/mas.21661] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/22/2020] [Accepted: 09/13/2020] [Indexed: 05/08/2023]
Abstract
Research in the field of neurobiology and neurochemistry has seen a rapid expansion in the last several years due to advances in technologies and instrumentation, facilitating the detection of biomolecules critical to the complex signaling of neurons. Part of this growth has been due to the development and implementation of high-resolution Fourier transform (FT) mass spectrometry (MS), as is offered by FT ion cyclotron resonance (FTICR) and Orbitrap mass analyzers, which improves the accuracy of measurements and helps resolve the complex biological mixtures often analyzed in the nervous system. The coupling of matrix-assisted laser desorption/ionization (MALDI) with high-resolution MS has drastically expanded the information that can be obtained with these complex samples. This review discusses notable technical developments in MALDI-FTICR and MALDI-Orbitrap platforms and their applications toward molecules in the nervous system, including sequence elucidation and profiling with de novo sequencing, analysis of post-translational modifications, in situ analysis, key advances in sample preparation and handling, quantitation, and imaging. Notable novel applications are also discussed to highlight key developments critical to advancing our understanding of neurobiology and providing insight into the exciting future of this field. © 2020 John Wiley & Sons Ltd. Mass Spec Rev.
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Affiliation(s)
- Kellen DeLaney
- Department of Chemistry, University of Wisconsin-Madison, 1101 University Avenue, Madison, WI 53706, USA
| | - Ashley Phetsanthad
- Department of Chemistry, University of Wisconsin-Madison, 1101 University Avenue, Madison, WI 53706, USA
| | - Lingjun Li
- Department of Chemistry, University of Wisconsin-Madison, 1101 University Avenue, Madison, WI 53706, USA
- School of Pharmacy, University of Wisconsin-Madison, 777 Highland Avenue, Madison, WI 53705, USA
- To whom correspondence should be addressed. , Phone: (608) 265-8491, Fax: (608) 262-5345., Mailing Address: 5125 Rennebohm Hall, 777 Highland Avenue, Madison, WI 53706
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Yan B, Murta T, Elia EA, Steven RT, Bunch J. Direct Tissue Mass Spectrometry Imaging by Atmospheric Pressure UV-Laser Desorption Plasma Postionization. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2021; 32:429-435. [PMID: 33289553 DOI: 10.1021/jasms.0c00315] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
Matrix-assisted laser desorption ionization (MALDI) operated at atmospheric pressure has been shown to be a promising technique for mass spectrometry imaging of biological tissues at high spatial resolution. Recent studies have shown several orders of magnitude improvement in sensitivity afforded by coupling with a low-temperature plasma (LTP) for postionization. In this work we report the first results from "matrix-free" imaging using our atmospheric pressure (AP) transmission mode (TM) (MA)LDI source with LTP postionization. Direct MSI analysis of murine testis with no sample preparation after tissue sectioning enabled imaging of a range of lipid classes at pixel sizes of 25 μm. We compared results from the matrix-free methods with MALDI experiments in which the matrix was applied on top, underneath, or layered as a sandwich. The sandwich preparation was found to lead to ion yields approximately 2- or 3-fold higher than the other methods, indicating that the addition of a light absorbing matrix remains beneficial. Nonetheless, LDI methods confer a range of advantages, and the sensitivity improvements provided by postionization strategies are a promising step toward high-efficiency laser sampling under ambient conditions.
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Affiliation(s)
- Bin Yan
- National Centre of Excellence in Mass Spectrometry Imaging (NiCE-MSI), National Physical Laboratory, Teddington TW11 0LW, United Kingdom
| | - Teresa Murta
- National Centre of Excellence in Mass Spectrometry Imaging (NiCE-MSI), National Physical Laboratory, Teddington TW11 0LW, United Kingdom
| | - Efstathios A Elia
- National Centre of Excellence in Mass Spectrometry Imaging (NiCE-MSI), National Physical Laboratory, Teddington TW11 0LW, United Kingdom
| | - Rory T Steven
- National Centre of Excellence in Mass Spectrometry Imaging (NiCE-MSI), National Physical Laboratory, Teddington TW11 0LW, United Kingdom
| | - Josephine Bunch
- National Centre of Excellence in Mass Spectrometry Imaging (NiCE-MSI), National Physical Laboratory, Teddington TW11 0LW, United Kingdom
- Department of Metabolism, Digestion and Reproduction, Imperial College London, South Kensington Campus, London SW7 2AZ, United Kingdom
- Rosalind Franklin Institute, Harwell Campus, Didcot OX11 0FA, United Kingdom
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Ràfols P, Vilalta D, Torres S, Calavia R, Heijs B, McDonnell LA, Brezmes J, del Castillo E, Yanes O, Ramírez N, Correig X. Assessing the potential of sputtered gold nanolayers in mass spectrometry imaging for metabolomics applications. PLoS One 2018; 13:e0208908. [PMID: 30540827 PMCID: PMC6291137 DOI: 10.1371/journal.pone.0208908] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2018] [Accepted: 11/26/2018] [Indexed: 12/20/2022] Open
Abstract
Mass spectrometry imaging (MSI) is a molecular imaging technique that maps the distribution of molecules in biological tissues with high spatial resolution. The most widely used MSI modality is matrix-assisted laser desorption/ionization (MALDI), mainly due to the large variety of analyte classes amenable for MALDI analysis. However, the organic matrices used in classical MALDI may impact the quality of the molecular images due to limited lateral resolution and strong background noise in the low mass range, hindering its use in metabolomics. Here we present a matrix-free laser desorption/ionization (LDI) technique based on the deposition of gold nanolayers on tissue sections by means of sputter-coating. This gold coating method is quick, fully automated, reproducible, and allows growing highly controlled gold nanolayers, necessary for high quality and high resolution MS image acquisition. The performance of the developed method has been tested through the acquisition of MS images of brain tissues. The obtained spectra showed a high number of MS peaks in the low mass region (m/z below 1000 Da) with few background peaks, demonstrating the ability of the sputtered gold nanolayers of promoting the desorption/ionization of a wide range of metabolites. These results, together with the reliable MS spectrum calibration using gold peaks, make the developed method a valuable alternative for MSI applications.
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Affiliation(s)
- Pere Ràfols
- Department of Electronic Engineering, Universitat Rovira i Virgili, Tarragona, Spain
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain
- * E-mail: (PR); (NR)
| | - Dídac Vilalta
- Department of Electronic Engineering, Universitat Rovira i Virgili, Tarragona, Spain
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain
| | - Sònia Torres
- Department of Electronic Engineering, Universitat Rovira i Virgili, Tarragona, Spain
| | - Raul Calavia
- Department of Electronic Engineering, Universitat Rovira i Virgili, Tarragona, Spain
| | - Bram Heijs
- Center for Proteomics & Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - Liam A. McDonnell
- Center for Proteomics & Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
- Department of Pathology, Leiden University Medical Center, Leiden The Netherlands
- Fondazione Pisana per la Scienza ONLUS, Pisa, Italy
| | - Jesús Brezmes
- Department of Electronic Engineering, Universitat Rovira i Virgili, Tarragona, Spain
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain
| | - Esteban del Castillo
- Department of Electronic Engineering, Universitat Rovira i Virgili, Tarragona, Spain
| | - Oscar Yanes
- Department of Electronic Engineering, Universitat Rovira i Virgili, Tarragona, Spain
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain
| | - Noelia Ramírez
- Department of Electronic Engineering, Universitat Rovira i Virgili, Tarragona, Spain
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain
- Institut d’Investigació Sanitària Pere Virgili, Tarragona, Spain
- * E-mail: (PR); (NR)
| | - Xavier Correig
- Department of Electronic Engineering, Universitat Rovira i Virgili, Tarragona, Spain
- Spanish Biomedical Research Centre in Diabetes and Associated Metabolic Disorders (CIBERDEM), Madrid, Spain
- Institut d’Investigació Sanitària Pere Virgili, Tarragona, Spain
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Yoon S, Lee TG. Biological tissue sample preparation for time-of-flight secondary ion mass spectrometry (ToF-SIMS) imaging. NANO CONVERGENCE 2018; 5:24. [PMID: 30467706 PMCID: PMC6153193 DOI: 10.1186/s40580-018-0157-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Accepted: 09/05/2018] [Indexed: 05/03/2023]
Abstract
Time-of-flight secondary ion mass spectrometry (ToF-SIMS) imaging is an analytical technique rapidly expanding in use in biological studies. This technique is based on high spatial resolution (50-100 nm), high surface sensitivity (1-2 nm top-layer), and statistical analytic power. In mass spectrometry imaging (MSI), sample preparation is a crucial step to maintaining the natural state of the biomolecules and providing accurate spatial information. However, a number of problems associated with temperature changes in tissue samples such as loss of original distribution due to undesired molecular migration during the sample preparation or reduced ionization efficiency make it difficult to accurately perform MSI. Although frozen hydrate analysis is the ideal sample preparation method to eliminate the effects of temperature, this approach is hindered by mechanical limitations. Alternatively, an adhesive-tape-supported mounting and freeze-drying preparation has been proposed. This paper provides a concise review of the sample preparation procedures, a review of current issues, and proposes efficacious solutions for ToF-SIMS imaging in biological research.
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Affiliation(s)
- Sohee Yoon
- Center for Nano-Bio Measurement, Korea Research Institute of Standards and Science (KRISS), Daejeon, 34113 Republic of Korea
| | - Tae Geol Lee
- Center for Nano-Bio Measurement, Korea Research Institute of Standards and Science (KRISS), Daejeon, 34113 Republic of Korea
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6
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Ho YN, Shu LJ, Yang YL. Imaging mass spectrometry for metabolites: technical progress, multimodal imaging, and biological interactions. WILEY INTERDISCIPLINARY REVIEWS-SYSTEMS BIOLOGY AND MEDICINE 2017; 9. [PMID: 28488813 DOI: 10.1002/wsbm.1387] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/31/2016] [Revised: 01/24/2017] [Accepted: 02/28/2017] [Indexed: 12/19/2022]
Abstract
Imaging mass spectrometry (IMS) allows the study of the spatial distribution of small molecules in biological samples. IMS is able to identify and quantify chemicals in situ from whole tissue sections to single cells. Both vacuum mass spectrometry (MS) and ambient MS systems have advanced considerably over the last decade; however, some limitations are still hard to surmount. Sample pretreatment, matrix or solvent choices, and instrument improvement are the key factors that determine the successful application of IMS to different samples and analytes. IMS with innovative MS analyzers, powerful MS spectrum databases, and analysis tools can efficiently dereplicate, identify, and quantify natural products. Moreover, multimodal imaging systems and multiple MS-based systems provide additional structural, chemical, and morphological information and are applied as complementary tools to explore new fields. IMS has been applied to reveal interactions between living organisms at molecular level. Recently, IMS has helped solve many previously unidentifiable relations between bacteria, fungi, plants, animals, and insects. Other significant interactions on the chemical level can also be resolved using expanding IMS techniques. WIREs Syst Biol Med 2017, 9:e1387. doi: 10.1002/wsbm.1387 For further resources related to this article, please visit the WIREs website.
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Affiliation(s)
- Ying-Ning Ho
- Agricultural Biotechnology Research Center, Academia Sinica, Taipei, Taiwan
| | - Lin-Jie Shu
- Agricultural Biotechnology Research Center, Academia Sinica, Taipei, Taiwan
| | - Yu-Liang Yang
- Agricultural Biotechnology Research Center, Academia Sinica, Taipei, Taiwan
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7
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Gemoll T, Strohkamp S, Schillo K, Thorns C, Habermann JK. MALDI-imaging reveals thymosin beta-4 as an independent prognostic marker for colorectal cancer. Oncotarget 2016; 6:43869-80. [PMID: 26556858 PMCID: PMC4791273 DOI: 10.18632/oncotarget.6103] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2015] [Accepted: 10/11/2015] [Indexed: 12/13/2022] Open
Abstract
DNA aneuploidy has been identified as a prognostic factor for epithelial malignancies. Matrix-assisted laser desorption/ionization (MALDI) imaging mass spectrometry (IMS) is a powerful tool for direct analysis of multiple proteins in tissue sections while maintaining the cellular and molecular integrity. We compared diploid and aneuploid colon cancer tissues against normal mucosa of the colon by means of IMS. DNA image cytometry determined the ploidy status of tissue samples that were subsequently subjected to MALDI-IMS. After obtaining protein profiles through direct analysis of tissue sections, a discovery and independent validation set were used to predict ploidy status by applying proteomic classification algorithms [Supervised Neural Network (SNN) and Receiver Operating Characteristic (ROC)]. Five peaks (m/z 2,395 and 4,977 for diploid vs. aneuploid comparison as well as m/z 3,376, 6,663, and 8,581 for normal mucosa vs. carcinoma comparison) were significant in both SNN and ROC analysis. Among these, m/z 4,977 was identified as thymosin beta 4 (Tβ-4). Tβ-4 was subsequently validated in clinical samples using a tissue microarray to predict overall survival in colon cancer patients.
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Affiliation(s)
- Timo Gemoll
- Section for Translational Surgical Oncology and Biobanking, Department of Surgery, University of Lübeck and University Medical Center Schleswig-Holstein, Campus Lübeck, Lübeck, Germany
| | - Sarah Strohkamp
- Section for Translational Surgical Oncology and Biobanking, Department of Surgery, University of Lübeck and University Medical Center Schleswig-Holstein, Campus Lübeck, Lübeck, Germany
| | - Katharina Schillo
- Section for Translational Surgical Oncology and Biobanking, Department of Surgery, University of Lübeck and University Medical Center Schleswig-Holstein, Campus Lübeck, Lübeck, Germany
| | - Christoph Thorns
- Department of Pathology, University Medical Center Schleswig-Holstein, Campus Lübeck, Lübeck, Germany
| | - Jens K Habermann
- Section for Translational Surgical Oncology and Biobanking, Department of Surgery, University of Lübeck and University Medical Center Schleswig-Holstein, Campus Lübeck, Lübeck, Germany
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Albl B, Haesner S, Braun-Reichhart C, Streckel E, Renner S, Seeliger F, Wolf E, Wanke R, Blutke A. Tissue Sampling Guides for Porcine Biomedical Models. Toxicol Pathol 2016; 44:414-20. [PMID: 26883152 DOI: 10.1177/0192623316631023] [Citation(s) in RCA: 46] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
This article provides guidelines for organ and tissue sampling adapted to porcine animal models in translational medical research. Detailed protocols for the determination of sampling locations and numbers as well as recommendations on the orientation, size, and trimming direction of samples from ∼50 different porcine organs and tissues are provided in the Supplementary Material. The proposed sampling protocols include the generation of samples suitable for subsequent qualitative and quantitative analyses, including cryohistology, paraffin, and plastic histology; immunohistochemistry;in situhybridization; electron microscopy; and quantitative stereology as well as molecular analyses of DNA, RNA, proteins, metabolites, and electrolytes. With regard to the planned extent of sampling efforts, time, and personnel expenses, and dependent upon the scheduled analyses, different protocols are provided. These protocols are adjusted for (I) routine screenings, as used in general toxicity studies or in analyses of gene expression patterns or histopathological organ alterations, (II) advanced analyses of single organs/tissues, and (III) large-scale sampling procedures to be applied in biobank projects. Providing a robust reference for studies of porcine models, the described protocols will ensure the efficiency of sampling, the systematic recovery of high-quality samples representing the entire organ or tissue as well as the intra-/interstudy comparability and reproducibility of results.
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Affiliation(s)
- Barbara Albl
- Institute of Veterinary Pathology, Center for Clinical Veterinary Medicine, Ludwig-Maximilians-Universität München, Munich, Germany Minitüb GmbH, Tiefenbach, Germany
| | - Serena Haesner
- Institute of Veterinary Pathology, Center for Clinical Veterinary Medicine, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Christina Braun-Reichhart
- Gene Center and Center for Innovative Medical Models (CiMM), Ludwig-Maximilians-Universität München, Munich, Germany
| | - Elisabeth Streckel
- Gene Center and Center for Innovative Medical Models (CiMM), Ludwig-Maximilians-Universität München, Munich, Germany
| | - Simone Renner
- Gene Center and Center for Innovative Medical Models (CiMM), Ludwig-Maximilians-Universität München, Munich, Germany
| | | | - Eckhard Wolf
- Gene Center and Center for Innovative Medical Models (CiMM), Ludwig-Maximilians-Universität München, Munich, Germany German Center for Diabetes Research (DZD), Helmholtz Zentrum München, Neuherberg, Germany
| | - Rüdiger Wanke
- Institute of Veterinary Pathology, Center for Clinical Veterinary Medicine, Ludwig-Maximilians-Universität München, Munich, Germany
| | - Andreas Blutke
- Institute of Veterinary Pathology, Center for Clinical Veterinary Medicine, Ludwig-Maximilians-Universität München, Munich, Germany
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Cobice DF, Goodwin RJA, Andren PE, Nilsson A, Mackay CL, Andrew R. Future technology insight: mass spectrometry imaging as a tool in drug research and development. Br J Pharmacol 2015; 172:3266-83. [PMID: 25766375 DOI: 10.1111/bph.13135] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2014] [Revised: 02/09/2015] [Accepted: 03/03/2015] [Indexed: 12/14/2022] Open
Abstract
In pharmaceutical research, understanding the biodistribution, accumulation and metabolism of drugs in tissue plays a key role during drug discovery and development. In particular, information regarding pharmacokinetics, pharmacodynamics and transport properties of compounds in tissues is crucial during early screening. Historically, the abundance and distribution of drugs have been assessed by well-established techniques such as quantitative whole-body autoradiography (WBA) or tissue homogenization with LC/MS analysis. However, WBA does not distinguish active drug from its metabolites and LC/MS, while highly sensitive, does not report spatial distribution. Mass spectrometry imaging (MSI) can discriminate drug and its metabolites and endogenous compounds, while simultaneously reporting their distribution. MSI data are influencing drug development and currently used in investigational studies in areas such as compound toxicity. In in vivo studies MSI results may soon be used to support new drug regulatory applications, although clinical trial MSI data will take longer to be validated for incorporation into submissions. We review the current and future applications of MSI, focussing on applications for drug discovery and development, with examples to highlight the impact of this promising technique in early drug screening. Recent sample preparation and analysis methods that enable effective MSI, including quantitative analysis of drugs from tissue sections will be summarized and key aspects of methodological protocols to increase the effectiveness of MSI analysis for previously undetectable targets addressed. These examples highlight how MSI has become a powerful tool in drug research and development and offers great potential in streamlining the drug discovery process.
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Affiliation(s)
- D F Cobice
- University/British Heart Foundation Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
| | - R J A Goodwin
- Drug Metabolism and Distribution, Mass Spectrometry Imaging, AstraZeneca R&D, Macclesfield, UK
| | - P E Andren
- Biomolecular Imaging and Proteomics, National Center for Mass Spectrometry Imaging, Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden
| | - A Nilsson
- Biomolecular Imaging and Proteomics, National Center for Mass Spectrometry Imaging, Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden
| | - C L Mackay
- SIRCAMS, School of Chemistry, University of Edinburgh, Edinburgh, UK
| | - R Andrew
- University/British Heart Foundation Centre for Cardiovascular Science, Queen's Medical Research Institute, University of Edinburgh, Edinburgh, UK
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10
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Jamieson LE, Harrison DJ, Campbell CJ. Chemical analysis of multicellular tumour spheroids. Analyst 2015; 140:3910-20. [PMID: 25923379 DOI: 10.1039/c5an00524h] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Conventional two dimensional (2D) monolayer cell culture has been considered the 'gold standard' technique for in vitro cellular experiments. However, the need for a model that better mimics the three dimensional (3D) architecture of tissue in vivo has led to the development of Multicellular Tumour Spheroids (MTS) as a 3D tissue culture model. To some extent MTS mimic the environment of in vivo tumours where, for example, oxygen and nutrient gradients develop, protein expression changes and cells form a spherical structure with regions of proliferation, senescence and necrosis. This review focuses on the development of techniques for chemical analysis of MTS as a tool for understanding in vivo tumours and a platform for more effective drug and therapy discovery. While traditional monolayer techniques can be translated to 3D models, these often fail to provide the desired spatial resolution and z-penetration for live cell imaging. More recently developed techniques for overcoming these problems will be discussed with particular reference to advances in instrument technology for achieving the increased spatial resolution and imaging depth required.
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Affiliation(s)
- L E Jamieson
- EaStCHEM, School of Chemistry, University of Edinburgh, Edinburgh, EH9 3JJ, UK.
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11
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López de Laorden C, Beloqui A, Yate L, Calvo J, Puigivila M, Llop J, Reichardt NC. Nanostructured Indium Tin Oxide Slides for Small-Molecule Profiling and Imaging Mass Spectrometry of Metabolites by Surface-Assisted Laser Desorption Ionization MS. Anal Chem 2014; 87:431-40. [DOI: 10.1021/ac5025864] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2022]
Affiliation(s)
- Carlos López de Laorden
- Glycotechnology Laboratory, ‡Surface Analysis and Fabrication Platform, §Mass Spectrometry
Platform, and ∥Radiochemistry Laboratory, CIC biomaGUNE, Paseo Miramon 182, 20009 San Sebastian, Spain
| | - Ana Beloqui
- Glycotechnology Laboratory, ‡Surface Analysis and Fabrication Platform, §Mass Spectrometry
Platform, and ∥Radiochemistry Laboratory, CIC biomaGUNE, Paseo Miramon 182, 20009 San Sebastian, Spain
| | - Luis Yate
- Glycotechnology Laboratory, ‡Surface Analysis and Fabrication Platform, §Mass Spectrometry
Platform, and ∥Radiochemistry Laboratory, CIC biomaGUNE, Paseo Miramon 182, 20009 San Sebastian, Spain
| | - Javier Calvo
- Glycotechnology Laboratory, ‡Surface Analysis and Fabrication Platform, §Mass Spectrometry
Platform, and ∥Radiochemistry Laboratory, CIC biomaGUNE, Paseo Miramon 182, 20009 San Sebastian, Spain
| | - Maria Puigivila
- Glycotechnology Laboratory, ‡Surface Analysis and Fabrication Platform, §Mass Spectrometry
Platform, and ∥Radiochemistry Laboratory, CIC biomaGUNE, Paseo Miramon 182, 20009 San Sebastian, Spain
| | - Jordi Llop
- Glycotechnology Laboratory, ‡Surface Analysis and Fabrication Platform, §Mass Spectrometry
Platform, and ∥Radiochemistry Laboratory, CIC biomaGUNE, Paseo Miramon 182, 20009 San Sebastian, Spain
| | - Niels-Christian Reichardt
- Glycotechnology Laboratory, ‡Surface Analysis and Fabrication Platform, §Mass Spectrometry
Platform, and ∥Radiochemistry Laboratory, CIC biomaGUNE, Paseo Miramon 182, 20009 San Sebastian, Spain
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12
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Race AM, Steven RT, Palmer AD, Styles IB, Bunch J. Memory efficient principal component analysis for the dimensionality reduction of large mass spectrometry imaging data sets. Anal Chem 2013; 85:3071-8. [PMID: 23394348 DOI: 10.1021/ac302528v] [Citation(s) in RCA: 30] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
A memory efficient algorithm for the computation of principal component analysis (PCA) of large mass spectrometry imaging data sets is presented. Mass spectrometry imaging (MSI) enables two- and three-dimensional overviews of hundreds of unlabeled molecular species in complex samples such as intact tissue. PCA, in combination with data binning or other reduction algorithms, has been widely used in the unsupervised processing of MSI data and as a dimentionality reduction method prior to clustering and spatial segmentation. Standard implementations of PCA require the data to be stored in random access memory. This imposes an upper limit on the amount of data that can be processed, necessitating a compromise between the number of pixels and the number of peaks to include. With increasing interest in multivariate analysis of large 3D multislice data sets and ongoing improvements in instrumentation, the ability to retain all pixels and many more peaks is increasingly important. We present a new method which has no limitation on the number of pixels and allows an increased number of peaks to be retained. The new technique was validated against the MATLAB (The MathWorks Inc., Natick, Massachusetts) implementation of PCA (princomp) and then used to reduce, without discarding peaks or pixels, multiple serial sections acquired from a single mouse brain which was too large to be analyzed with princomp. Then, k-means clustering was performed on the reduced data set. We further demonstrate with simulated data of 83 slices, comprising 20,535 pixels per slice and equaling 44 GB of data, that the new method can be used in combination with existing tools to process an entire organ. MATLAB code implementing the memory efficient PCA algorithm is provided.
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Affiliation(s)
- Alan M Race
- Physical Sciences of Imaging in the Biomedical Sciences Doctoral Training Centre, School of Chemistry, University of Birmingham, Edgbaston, Birmingham, United Kingdom
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Prideaux B, Stoeckli M. Mass spectrometry imaging for drug distribution studies. J Proteomics 2012; 75:4999-5013. [DOI: 10.1016/j.jprot.2012.07.028] [Citation(s) in RCA: 224] [Impact Index Per Article: 18.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2012] [Revised: 07/15/2012] [Accepted: 07/16/2012] [Indexed: 01/13/2023]
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Sample preparation for mass spectrometry imaging: Small mistakes can lead to big consequences. J Proteomics 2012; 75:4893-4911. [DOI: 10.1016/j.jprot.2012.04.012] [Citation(s) in RCA: 204] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/06/2012] [Revised: 04/11/2012] [Accepted: 04/12/2012] [Indexed: 12/13/2022]
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Conductive carbon tape used for support and mounting of both whole animal and fragile heat-treated tissue sections for MALDI MS imaging and quantitation. J Proteomics 2012; 75:4912-4920. [PMID: 22796569 DOI: 10.1016/j.jprot.2012.07.006] [Citation(s) in RCA: 41] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/19/2012] [Revised: 06/22/2012] [Accepted: 07/04/2012] [Indexed: 11/21/2022]
Abstract
Analysis of whole animal tissue sections by MALDI MS imaging (MSI) requires effective sample collection and transfer methods to allow the highest quality of in situ analysis of small or hard to dissect tissues. We report on the use of double-sided adhesive conductive carbon tape during whole adult rat tissue sectioning of carboxymethyl cellulose (CMC) embedded animals, with samples mounted onto large format conductive glass and conductive plastic MALDI targets, enabling MSI analysis to be performed on both TOF and FT-ICR MALDI mass spectrometers. We show that mounting does not unduly affect small molecule MSI detection by analyzing tiotropium abundance and distribution in rat lung tissues, with direct on-tissue quantitation achieved. Significantly, we use the adhesive tape to provide support to embedded delicate heat-stabilized tissues, enabling sectioning and mounting to be performed that maintained tissue integrity on samples that had previously been impossible to adequately prepare section for MSI analysis. The mapping of larger peptidomic molecules was not hindered by tape mounting samples and we demonstrate this by mapping the distribution of PEP-19 in both native and heat-stabilized rat brains. Furthermore, we show that without heat stabilization PEP-19 degradation fragments can detected and identified directly by MALDI MSI analysis.
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Sparvero L, Amoscato A, Dixon C, Long J, Kochanek P, Pitt B, Bayir H, Kagan V. Mapping of phospholipids by MALDI imaging (MALDI-MSI): realities and expectations. Chem Phys Lipids 2012; 165:545-62. [PMID: 22692104 PMCID: PMC3642772 DOI: 10.1016/j.chemphyslip.2012.06.001] [Citation(s) in RCA: 74] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2012] [Revised: 05/30/2012] [Accepted: 06/01/2012] [Indexed: 02/07/2023]
Abstract
Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) has emerged as a novel powerful MS methodology that has the ability to generate both molecular and spatial information within a tissue section. Application of this technology as a new type of biochemical lipid microscopy may lead to new discoveries of the lipid metabolism and biomarkers associated with area-specific alterations or damage under stress/disease conditions such as traumatic brain injury or acute lung injury, among others. However there are limitations in the range of what it can detect as compared with liquid chromatography-MS (LC-MS) of a lipid extract from a tissue section. The goal of the current work was to critically consider remarkable new opportunities along with the limitations and approaches for further improvements of MALDI-MSI. Based on our experimental data and assessments, improvements of the spectral and spatial resolution, sensitivity and specificity towards low abundance species of lipids are proposed. This is followed by a review of the current literature, including methodologies that other laboratories have used to overcome these challenges.
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Affiliation(s)
- L.J. Sparvero
- Center for Free Radical and Antioxidant Health, University of Pittsburgh, Pittsburgh, PA 15213, USA
- Departments of Environmental and Occupational Health, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - A.A. Amoscato
- Center for Free Radical and Antioxidant Health, University of Pittsburgh, Pittsburgh, PA 15213, USA
- Departments of Environmental and Occupational Health, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - C.E. Dixon
- Safar Center for Resuscitation Research, University of Pittsburgh, Pittsburgh, PA 15213, USA
- Neurosurgery, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - J.B. Long
- Center for Military Psychiatry and Neuroscience, Walter Reed Army Institute of Research, Silver Spring, MD 21910, USA
| | - P.M. Kochanek
- Safar Center for Resuscitation Research, University of Pittsburgh, Pittsburgh, PA 15213, USA
- Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - B.R. Pitt
- Departments of Environmental and Occupational Health, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - H. Bayir
- Center for Free Radical and Antioxidant Health, University of Pittsburgh, Pittsburgh, PA 15213, USA
- Safar Center for Resuscitation Research, University of Pittsburgh, Pittsburgh, PA 15213, USA
- Departments of Environmental and Occupational Health, University of Pittsburgh, Pittsburgh, PA 15213, USA
- Critical Care Medicine, University of Pittsburgh, Pittsburgh, PA 15213, USA
| | - V.E. Kagan
- Center for Free Radical and Antioxidant Health, University of Pittsburgh, Pittsburgh, PA 15213, USA
- Departments of Environmental and Occupational Health, University of Pittsburgh, Pittsburgh, PA 15213, USA
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Shimma S, Kubo A, Satoh T, Toyoda M. Detailed structural analysis of lipids directly on tissue specimens using a MALDI-SpiralTOF-Reflectron TOF mass spectrometer. PLoS One 2012; 7:e37107. [PMID: 22623981 PMCID: PMC3356408 DOI: 10.1371/journal.pone.0037107] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2012] [Accepted: 04/18/2012] [Indexed: 12/19/2022] Open
Abstract
Direct tissue analysis using a novel tandem time-of-flight (TOF-TOF) mass spectrometer is described. This system consists of a matrix-assisted laser desorption/ionization ion source, a spiral ion trajectory TOF mass spectrometer “SpiralTOF (STOF)”, a collision cell, and an offset parabolic reflectron (RTOF). The features of this system are high precursor ion selectivity due to a 17-m flight path length in STOF and elimination of post-source decay (PSD) ions. The acceleration energy is 20 keV, so that high-energy collision-induced dissociation (HE-CID) is possible. Elimination of PSD ions allows observation of the product ions inherent to the HE-CID process. By using this tandem TOF instrument, the product ion spectrum of lipids provided detailed structural information of fatty acid residues.
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Affiliation(s)
- Shuichi Shimma
- Venture Business Laboratory, Osaka University, Suita, Osaka, Japan.
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Goodwin RJA, Mackay CL, Nilsson A, Harrison DJ, Farde L, Andren PE, Iverson SL. Qualitative and quantitative MALDI imaging of the positron emission tomography ligands raclopride (a D2 dopamine antagonist) and SCH 23390 (a D1 dopamine antagonist) in rat brain tissue sections using a solvent-free dry matrix application method. Anal Chem 2011; 83:9694-701. [PMID: 22077717 DOI: 10.1021/ac202630t] [Citation(s) in RCA: 78] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
The distributions of positron emission tomography (PET) ligands in rat brain tissue sections were analyzed by matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI MSI). The detection of the PET ligands was possible following the use of a solvent-free dry MALDI matrix application method employing finely ground dry α-cyano-4-hydroxycinnamic acid (CHCA). The D2 dopamine receptor antagonist 3,5-dichloro-N-{[(2S)-1-ethylpyrrolidin-2-yl]methyl}-2-hydroxy-6-methoxybenzamide (raclopride) and the D1 dopamine receptor antagonist 7-chloro-3-methyl-1-phenyl-1,2,4,5-tetrahydro-3-benzazepin-8-ol (SCH 23390) were both detected at decreasing abundance at increasing period postdosing. Confirmation of the compound identifications and distributions was achieved by a combination of mass-to-charge ratio accurate mass, isotope distribution, and MS/MS fragmentation imaging directly from tissue sections (performed using MALDI TOF/TOF, MALDI q-TOF, and 12T MALDI-FT-ICR mass spectrometers). Quantitative data was obtained by comparing signal abundances from tissues to those obtained from quantitation control spots of the target compound applied to adjacent vehicle control tissue sections (analyzed during the same experiment). Following a single intravenous dose of raclopride (7.5 mg/kg), an average tissue concentration of approximately 60 nM was detected compared to 15 nM when the drug was dosed at 2 mg/kg, indicating a linear response between dose and detected abundance. SCH 23390 was established to have an average tissue concentration of approximately 15 μM following a single intravenous dose at 5 mg/kg. Both target compounds were also detected in kidney tissue sections when employing the same MSI methodology. This study illustrates that a MSI may well be readily applied to PET ligand research development when using a solvent-free dry matrix coating.
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Eberlin LS, Liu X, Ferreira CR, Santagata S, Agar NY, Cooks RG. Desorption electrospray ionization then MALDI mass spectrometry imaging of lipid and protein distributions in single tissue sections. Anal Chem 2011; 83:8366-71. [PMID: 21975048 PMCID: PMC3229813 DOI: 10.1021/ac202016x] [Citation(s) in RCA: 118] [Impact Index Per Article: 9.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Imaging mass spectrometry (MS) is a powerful technique for mapping the spatial distributions of a wide range of chemical compounds simultaneously from a tissue section. Co-localization of the distribution of individual molecular species, including particular lipids and proteins, and correlation with the morphological features of a single tissue section are highly desirable for comprehensive tissue analysis and disease diagnosis. We now report on the use, in turn, of desorption electrospray ionization (DESI), matrix assisted laser desorption ionization (MALDI), and then optical microscopy to image lipid and protein distributions in a single tissue section. This is possible through the use of histologically compatible DESI solvent systems, which allow for sequential analyses of the same section by DESI then MALDI. Hematoxylin and eosin (H&E) staining was performed on the same section after removal of the MALDI matrix. This workflow allowed chemical information to be unambiguously matched to histological features in mouse brain tissue sections. The lipid sulfatide (24:1), detected at m/z 888.8 by DESI imaging, was colocalized with the protein MBP isoform 8, detected at m/z 14117 by MALDI imaging, in regions corresponding to the corpus callosum substructure of the mouse brain, as confirmed in the H&E images. Correlation of lipid and protein distributions with histopathological features was also achieved for human brain cancer samples. Higher tumor cell density was observed in regions demonstrating higher relative abundances of oleic acid, detected by DESI imaging at m/z 281.4, and the protein calcyclin, detected by MALDI at m/z 10085, for a human glioma sample. Since correlation between molecular signatures and disease state can be achieved, we expect that this methodology will significantly enhance the value of MS imaging in molecular pathology for diagnosis.
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Affiliation(s)
- Livia S Eberlin
- Department of Chemistry and Center for Analytical Instrumentation Development, Purdue University, West Lafayette, IN 47907 (USA)
| | - Xioahui Liu
- Department of Neurosurgery, Department of Radiology, and Department of Medical Oncology, Brigham and Women’s Hospital and Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02115 (USA)
| | - Christina R. Ferreira
- Department of Chemistry and Center for Analytical Instrumentation Development, Purdue University, West Lafayette, IN 47907 (USA)
| | - Sandro Santagata
- Department of Pathology, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA 02115(USA)
| | - Nathalie Y.R. Agar
- Department of Neurosurgery, Department of Radiology, and Department of Medical Oncology, Brigham and Women’s Hospital and Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA 02115 (USA)
| | - R. Graham Cooks
- Department of Chemistry and Center for Analytical Instrumentation Development, Purdue University, West Lafayette, IN 47907 (USA)
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Berry KAZ, Hankin JA, Barkley RM, Spraggins JM, Caprioli RM, Murphy RC. MALDI imaging of lipid biochemistry in tissues by mass spectrometry. Chem Rev 2011; 111:6491-512. [PMID: 21942646 PMCID: PMC3199966 DOI: 10.1021/cr200280p] [Citation(s) in RCA: 275] [Impact Index Per Article: 21.2] [Reference Citation Analysis] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Affiliation(s)
- Karin A. Zemski Berry
- Department of Pharmacology, University of Colorado Denver, Mail Stop 8303, 12801 E. 17 Ave., Aurora, CO 80045
| | - Joseph A. Hankin
- Department of Pharmacology, University of Colorado Denver, Mail Stop 8303, 12801 E. 17 Ave., Aurora, CO 80045
| | - Robert M. Barkley
- Department of Pharmacology, University of Colorado Denver, Mail Stop 8303, 12801 E. 17 Ave., Aurora, CO 80045
| | - Jeffrey M. Spraggins
- Department of Biochemistry and Mass Spectrometry Research Center, Vanderbilt University, 9160 MRB 3, 465 21 Ave. S., Nashville, TN 37232
| | - Richard M. Caprioli
- Department of Biochemistry and Mass Spectrometry Research Center, Vanderbilt University, 9160 MRB 3, 465 21 Ave. S., Nashville, TN 37232
| | - Robert C. Murphy
- Department of Pharmacology, University of Colorado Denver, Mail Stop 8303, 12801 E. 17 Ave., Aurora, CO 80045
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Blatherwick EQ, Van Berkel GJ, Pickup K, Johansson MK, Beaudoin ME, Cole RO, Day JM, Iverson S, Wilson ID, Scrivens JH, Weston DJ. Utility of spatially-resolved atmospheric pressure surface sampling and ionization techniques as alternatives to mass spectrometric imaging (MSI) in drug metabolism. Xenobiotica 2011; 41:720-34. [DOI: 10.3109/00498254.2011.587550] [Citation(s) in RCA: 36] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
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