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Stillger MN, Li MJ, Hönscheid P, von Neubeck C, Föll MC. Advancing rare cancer research by MALDI mass spectrometry imaging: Applications, challenges, and future perspectives in sarcoma. Proteomics 2024; 24:e2300001. [PMID: 38402423 DOI: 10.1002/pmic.202300001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 02/10/2024] [Accepted: 02/12/2024] [Indexed: 02/26/2024]
Abstract
MALDI mass spectrometry imaging (MALDI imaging) uniquely advances cancer research, by measuring spatial distribution of endogenous and exogenous molecules directly from tissue sections. These molecular maps provide valuable insights into basic and translational cancer research, including tumor biology, tumor microenvironment, biomarker identification, drug treatment, and patient stratification. Despite its advantages, MALDI imaging is underutilized in studying rare cancers. Sarcomas, a group of malignant mesenchymal tumors, pose unique challenges in medical research due to their complex heterogeneity and low incidence, resulting in understudied subtypes with suboptimal management and outcomes. In this review, we explore the applicability of MALDI imaging in sarcoma research, showcasing its value in understanding this highly heterogeneous and challenging rare cancer. We summarize all MALDI imaging studies in sarcoma to date, highlight their impact on key research fields, including molecular signatures, cancer heterogeneity, and drug studies. We address specific challenges encountered when employing MALDI imaging for sarcomas, and propose solutions, such as using formalin-fixed paraffin-embedded tissues, and multiplexed experiments, and considerations for multi-site studies and digital data sharing practices. Through this review, we aim to spark collaboration between MALDI imaging researchers and clinical colleagues, to deploy the unique capabilities of MALDI imaging in the context of sarcoma.
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Affiliation(s)
- Maren Nicole Stillger
- Institute for Surgical Pathology, Faculty of Medicine, University Medical Center, Freiburg, Germany
- Bioinformatics Group, Department of Computer Science, Albert-Ludwigs-University Freiburg, Freiburg, Germany
| | - Mujia Jenny Li
- Institute for Surgical Pathology, Faculty of Medicine, University Medical Center, Freiburg, Germany
- Institute for Pharmaceutical Sciences, University of Freiburg, Freiburg, Germany
| | - Pia Hönscheid
- Institute of Pathology, Faculty of Medicine, University Hospital Carl Gustav Carus at the Technische Universität Dresden, Dresden, Germany
- National Center for Tumor Diseases, Partner Site Dresden, German Cancer Research Center Heidelberg, Dresden, Germany
- German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Cläre von Neubeck
- Department of Particle Therapy, University Hospital Essen, University of Duisburg-Essen, Essen, Germany
| | - Melanie Christine Föll
- Institute for Surgical Pathology, Faculty of Medicine, University Medical Center, Freiburg, Germany
- German Cancer Consortium (DKTK) and German Cancer Research Center (DKFZ), Heidelberg, Germany
- Khoury College of Computer Sciences, Northeastern University, Boston, USA
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2
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Ma X, Fernández FM. Advances in mass spectrometry imaging for spatial cancer metabolomics. MASS SPECTROMETRY REVIEWS 2024; 43:235-268. [PMID: 36065601 PMCID: PMC9986357 DOI: 10.1002/mas.21804] [Citation(s) in RCA: 29] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 08/02/2022] [Accepted: 08/02/2022] [Indexed: 05/09/2023]
Abstract
Mass spectrometry (MS) has become a central technique in cancer research. The ability to analyze various types of biomolecules in complex biological matrices makes it well suited for understanding biochemical alterations associated with disease progression. Different biological samples, including serum, urine, saliva, and tissues have been successfully analyzed using mass spectrometry. In particular, spatial metabolomics using MS imaging (MSI) allows the direct visualization of metabolite distributions in tissues, thus enabling in-depth understanding of cancer-associated biochemical changes within specific structures. In recent years, MSI studies have been increasingly used to uncover metabolic reprogramming associated with cancer development, enabling the discovery of key biomarkers with potential for cancer diagnostics. In this review, we aim to cover the basic principles of MSI experiments for the nonspecialists, including fundamentals, the sample preparation process, the evolution of the mass spectrometry techniques used, and data analysis strategies. We also review MSI advances associated with cancer research in the last 5 years, including spatial lipidomics and glycomics, the adoption of three-dimensional and multimodal imaging MSI approaches, and the implementation of artificial intelligence/machine learning in MSI-based cancer studies. The adoption of MSI in clinical research and for single-cell metabolomics is also discussed. Spatially resolved studies on other small molecule metabolites such as amino acids, polyamines, and nucleotides/nucleosides will not be discussed in the context.
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Affiliation(s)
- Xin Ma
- School of Chemistry and Biochemistry and Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia, USA
| | - Facundo M Fernández
- School of Chemistry and Biochemistry and Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia, USA
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4
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de Maar JS, Sofias AM, Porta Siegel T, Vreeken RJ, Moonen C, Bos C, Deckers R. Spatial heterogeneity of nanomedicine investigated by multiscale imaging of the drug, the nanoparticle and the tumour environment. Am J Cancer Res 2020; 10:1884-1909. [PMID: 32042343 PMCID: PMC6993242 DOI: 10.7150/thno.38625] [Citation(s) in RCA: 22] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2019] [Accepted: 11/13/2019] [Indexed: 02/07/2023] Open
Abstract
Genetic and phenotypic tumour heterogeneity is an important cause of therapy resistance. Moreover, non-uniform spatial drug distribution in cancer treatment may cause pseudo-resistance, meaning that a treatment is ineffective because the drug does not reach its target at sufficient concentrations. Together with tumour heterogeneity, non-uniform drug distribution causes “therapy heterogeneity”: a spatially heterogeneous treatment effect. Spatial heterogeneity in drug distribution occurs on all scales ranging from interpatient differences to intratumour differences on tissue or cellular scale. Nanomedicine aims to improve the balance between efficacy and safety of drugs by targeting drug-loaded nanoparticles specifically to tumours. Spatial heterogeneity in nanoparticle and payload distribution could be an important factor that limits their efficacy in patients. Therefore, imaging spatial nanoparticle distribution and imaging the tumour environment giving rise to this distribution could help understand (lack of) clinical success of nanomedicine. Imaging the nanoparticle, drug and tumour environment can lead to improvements of new nanotherapies, increase understanding of underlying mechanisms of heterogeneous distribution, facilitate patient selection for nanotherapies and help assess the effect of treatments that aim to reduce heterogeneity in nanoparticle distribution. In this review, we discuss three groups of imaging modalities applied in nanomedicine research: non-invasive clinical imaging methods (nuclear imaging, MRI, CT, ultrasound), optical imaging and mass spectrometry imaging. Because each imaging modality provides information at a different scale and has its own strengths and weaknesses, choosing wisely and combining modalities will lead to a wealth of information that will help bring nanomedicine forward.
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5
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Cole LM, Clench MR, Francese S. Sample Treatment for Tissue Proteomics in Cancer, Toxicology, and Forensics. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2019; 1073:77-123. [PMID: 31236840 DOI: 10.1007/978-3-030-12298-0_4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Abstract
Since the birth of proteomics science in the 1990, the number of applications and of sample preparation methods has grown exponentially, making a huge contribution to the knowledge in life science disciplines. Continuous improvements in the sample treatment strategies unlock and reveal the fine details of disease mechanisms, drug potency, and toxicity as well as enable new disciplines to be investigated such as forensic science.This chapter will cover the most recent developments in sample preparation strategies for tissue proteomics in three areas, namely, cancer, toxicology, and forensics, thus also demonstrating breath of application within the domain of health and well-being, pharmaceuticals, and secure societies.In particular, in the area of cancer (human tumor biomarkers), the most efficient and multi-informative proteomic strategies will be covered in relation to the subsequent application of matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) and liquid extraction surface analysis (LESA), due to their ability to provide molecular localization of tumor biomarkers albeit with different spatial resolution.With respect to toxicology, methodologies applied in toxicoproteomics will be illustrated with examples from its use in two important areas: the study of drug-induced liver injury (DILI) and studies of effects of chemical and environmental insults on skin, i.e., the effects of irritants, sensitizers, and ionizing radiation. Within this chapter, mainly tissue proteomics sample preparation methods for LC-MS/MS analysis will be discussed as (i) the use of LC-MS/MS is majorly represented in the research efforts of the bioanalytical community in this area and (ii) LC-MS/MS still is the gold standard for quantification studies.Finally, the use of proteomics will also be discussed in forensic science with respect to the information that can be recovered from blood and fingerprint evidence which are commonly encountered at the scene of the crime. The application of proteomic strategies for the analysis of blood and fingerprints is novel and proteomic preparation methods will be reported in relation to the subsequent use of mass spectrometry without any hyphenation. While generally yielding more information, hyphenated methods are often more laborious and time-consuming; since forensic investigations need quick turnaround, without compromising validity of the information, the prospect to develop methods for the application of quick forensic mass spectrometry techniques such as MALDI-MS (in imaging or profiling mode) is of great interest.
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Affiliation(s)
- L M Cole
- Biomolecular Science Research Centre, Centre for Mass Spectrometry Imaging, Sheffield Hallam University, Sheffield, UK
| | - M R Clench
- Biomolecular Science Research Centre, Centre for Mass Spectrometry Imaging, Sheffield Hallam University, Sheffield, UK
| | - S Francese
- Biomolecular Science Research Centre, Centre for Mass Spectrometry Imaging, Sheffield Hallam University, Sheffield, UK.
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6
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Gaye MM, Ding T, Shion H, Hussein A, Hu Y, Zhou S, Hammoud ZT, Lavine BK, Mechref Y, Gebler JC, Clemmer DE. Delineation of disease phenotypes associated with esophageal adenocarcinoma by MALDI-IMS-MS analysis of serum N-linked glycans. Analyst 2018; 142:1525-1535. [PMID: 28367546 DOI: 10.1039/c6an02697d] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
N-Linked glycans, extracted from patient sera and healthy control individuals, are analyzed by Matrix-assisted laser desorption ionization (MALDI) in combination with ion mobility spectrometry (IMS), mass spectrometry (MS) and pattern recognition methods. MALDI-IMS-MS data were collected in duplicate for 58 serum samples obtained from individuals diagnosed with Barrett's esophagus (BE, 14 patients), high-grade dysplasia (HGD, 7 patients), esophageal adenocarcinoma (EAC, 20 patients) and disease-free control (NC, 17 individuals). A combined mobility distribution of 9 N-linked glycans is established for 90 MALDI-IMS-MS spectra (training set) and analyzed using a genetic algorithm for feature selection and classification. Two models for phenotype delineation are subsequently developed and as a result, the four phenotypes (BE, HGD, EAC and NC) are unequivocally differentiated. Next, the two models are tested against 26 blind measurements. Interestingly, these models allowed for the correct phenotype prediction of as many as 20 blinds. Although applied to a limited number of blind samples, this methodology appears promising as a means of discovering molecules from serum that may have capabilities as markers of disease.
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Affiliation(s)
- M M Gaye
- Department of Chemistry, Indiana University, Bloomington, IN 47405, USA.
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Zhou R, Basile F. Plasmonic Thermal Decomposition/Digestion of Proteins: A Rapid On-Surface Protein Digestion Technique for Mass Spectrometry Imaging. Anal Chem 2017; 89:8704-8712. [PMID: 28727443 DOI: 10.1021/acs.analchem.7b00430] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
A method based on plasmon surface resonance absorption and heating was developed to perform a rapid on-surface protein thermal decomposition and digestion suitable for imaging mass spectrometry (MS) and/or profiling. This photothermal process or plasmonic thermal decomposition/digestion (plasmonic-TDD) method incorporates a continuous wave (CW) laser excitation and gold nanoparticles (Au-NPs) to induce known thermal decomposition reactions that cleave peptides and proteins specifically at the C-terminus of aspartic acid and at the N-terminus of cysteine. These thermal decomposition reactions are induced by heating a solid protein sample to temperatures between 200 and 270 °C for a short period of time (10-50 s per 200 μm segment) and are reagentless and solventless, and thus are devoid of sample product delocalization. In the plasmonic-TDD setup the sample is coated with Au-NPs and irradiated with 532 nm laser radiation to induce thermoplasmonic heating and bring about site-specific thermal decomposition on solid peptide/protein samples. In this manner the Au-NPs act as nanoheaters that result in a highly localized thermal decomposition and digestion of the protein sample that is independent of the absorption properties of the protein, making the method universally applicable to all types of proteinaceous samples (e.g., tissues or protein arrays). Several experimental variables were optimized to maximize product yield, and they include heating time, laser intensity, size of Au-NPs, and surface coverage of Au-NPs. Using optimized parameters, proof-of-principle experiments confirmed the ability of the plasmonic-TDD method to induce both C-cleavage and D-cleavage on several peptide standards and the protein lysozyme by detecting their thermal decomposition products with matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS). The high spatial specificity of the plasmonic-TDD method was demonstrated by using a mask to digest designated sections of the sample surface with the heating laser and MALDI-MS imaging to map the resulting products. The solventless nature of the plasmonic-TDD method enabled the nonenzymatic on-surface digestion of proteins to proceed with undetectable delocalization of the resulting products from their precursor protein location. The advantages of this novel plasmonic-TDD method include short reaction times (<30 s/200 μm), compatibility with MALDI, universal sample compatibility, high spatial specificity, and localization of the digestion products. These advantages point to potential applications of this method for on-tissue protein digestion and MS-imaging/profiling for the identification of proteins, high-fidelity MS imaging of high molecular weight (>30 kDa) proteins, and the rapid analysis of formalin-fixed paraffin-embedded (FFPE) tissue samples.
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Affiliation(s)
- Rong Zhou
- Department of Chemistry, University of Wyoming , 1000 University Avenue, Laramie, Wyoming 82071, United States
| | - Franco Basile
- Department of Chemistry, University of Wyoming , 1000 University Avenue, Laramie, Wyoming 82071, United States
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8
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Peptide Imaging: Maximizing Peptide Yield, Optimization of the "Peptide Mass Fingerprint". Methods Mol Biol 2017. [PMID: 28523501 DOI: 10.1007/978-1-4939-7051-3_8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register]
Abstract
In Matrix Assisted Laser Desorption Ionization Mass Spectrometry Imaging (MALDI-MSI), identification of observed proteins remains a challenge primarily due to the drop in sensitivity of time-of-flight (TOF) mass spectrometers beyond the mass range of 25-35 kDa (Francese et al. High Throughput Screen 12: 156-174, 2009) and inadequate mass resolving power at those molecular weights. To counteract this, a bottom-up proteomic approach is often employed. Proteolysis digests proteins into smaller peptide fragments, typically between 500 and 3000 Da which are easier to detect with a higher mass accuracy. Here, we describe the addition of a MS-compatible detergent to the endopeptidase trypsin, to enhance in situ proteolysis efficiency and peptide intensity.
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9
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The Future in Disease Models for Mass Spectrometry Imaging, Ethical Issues, and the Way Forward. Methods Mol Biol 2017. [PMID: 28523509 DOI: 10.1007/978-1-4939-7051-3_16] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register]
Abstract
Mass Spectrometry Imaging (MSI) has evolved into a valuable tool for research into and the diagnosis of disease pathology. The ability to perform multiplex analysis of a wide range of molecules (e.g., proteins, lipids, and metabolites) simultaneously per tissue section while retaining the histological structure of the sample allows molecular information and tissue morphology to be correlated, thus increasing our understanding of a particular disease. Further development of MSI is required to improve suitability to the alternative models available, so that the combined approach can successfully provide the information required in disease characterization and prevention. MSI has been shown to be capable of providing spatiomolecular information in tumor spheroids, living skin equivalents, and ex vivo human tissues. Due to a considerable interest and scientific effort there are many more designed alternative disease models available which would benefit from the information MSI could provide.
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10
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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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11
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Erich K, Sammour DA, Marx A, Hopf C. Scores for standardization of on-tissue digestion of formalin-fixed paraffin-embedded tissue in MALDI-MS imaging. BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS 2016; 1865:907-915. [PMID: 27599305 DOI: 10.1016/j.bbapap.2016.08.020] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/13/2016] [Accepted: 08/30/2016] [Indexed: 12/18/2022]
Abstract
On-slide digestion of formalin-fixed and paraffin-embedded human biopsy tissue followed by mass spectrometry imaging of resulting peptides may have the potential to become an additional analytical modality in future ePathology. Multiple workflows have been described for dewaxing, antigen retrieval, digestion and imaging in the past decade. However, little is known about suitable statistical scores for method comparison and systematic workflow standardization required for development of processes that would be robust enough to be compatible with clinical routine. To define scores for homogeneity of tissue processing and imaging as well as inter-day repeatability for five different processing methods, we used human liver and gastrointestinal stromal tumor tissue, both judged by an expert pathologist to be >98% histologically homogeneous. For mean spectra-based as well as pixel-wise data analysis, we propose the coefficient of determination R2, the natural fold-change (natFC) value and the digest efficiency DE% as readily accessible scores. Moreover, we introduce two scores derived from principal component analysis, the variance of the mean absolute deviation, MAD, and the interclass overlap, Joverlap, as computational scores that may help to avoid user bias during future workflow development. This article is part of a Special Issue entitled: MALDI Imaging, edited by Dr. Corinna Henkel and Prof. Peter Hoffmann.
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Affiliation(s)
- Katrin Erich
- Center for Applied Research in Biomedical Mass Spectrometry (ABIMAS), Mannheim University of Applied Sciences, Paul-Wittsack-Str. 10, 68163 Mannheim, Germany; Institute of Medical Technology (IMT), University of Heidelberg and Mannheim University of Applied Sciences, Paul-Wittsack-Str. 10, 68163 Mannheim, Germany
| | - Denis A Sammour
- Center for Applied Research in Biomedical Mass Spectrometry (ABIMAS), Mannheim University of Applied Sciences, Paul-Wittsack-Str. 10, 68163 Mannheim, Germany; Institute of Medical Technology (IMT), University of Heidelberg and Mannheim University of Applied Sciences, Paul-Wittsack-Str. 10, 68163 Mannheim, Germany
| | - Alexander Marx
- Institute of Pathology, University Medical Centre Mannheim, University of Heidelberg, Theodor-Kutzer-Ufer 1-3, 68167 Mannheim, Germany
| | - Carsten Hopf
- Center for Applied Research in Biomedical Mass Spectrometry (ABIMAS), Mannheim University of Applied Sciences, Paul-Wittsack-Str. 10, 68163 Mannheim, Germany; Institute of Medical Technology (IMT), University of Heidelberg and Mannheim University of Applied Sciences, Paul-Wittsack-Str. 10, 68163 Mannheim, Germany.
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12
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Deininger L, Patel E, Clench MR, Sears V, Sammon C, Francese S. Proteomics goes forensic: Detection and mapping of blood signatures in fingermarks. Proteomics 2016; 16:1707-17. [DOI: 10.1002/pmic.201500544] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2015] [Revised: 04/13/2016] [Accepted: 04/22/2016] [Indexed: 11/06/2022]
Affiliation(s)
- Lisa Deininger
- Centre for Mass Spectrometry Imaging; Biomolecular Research Centre; Sheffield Hallam University; Sheffield UK
| | - Ekta Patel
- Centre for Mass Spectrometry Imaging; Biomolecular Research Centre; Sheffield Hallam University; Sheffield UK
| | - Malcolm R. Clench
- Centre for Mass Spectrometry Imaging; Biomolecular Research Centre; Sheffield Hallam University; Sheffield UK
| | - Vaughn Sears
- Centre for Applied Science and Technology; Home Office; St Albans UK
| | - Chris Sammon
- Materials and Engineering Research Institute; Sheffield Hallam University; Sheffield UK
| | - Simona Francese
- Centre for Mass Spectrometry Imaging; Biomolecular Research Centre; Sheffield Hallam University; Sheffield UK
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13
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van de Ven SMWY, Bemis KD, Lau K, Adusumilli R, Kota U, Stolowitz M, Vitek O, Mallick P, Gambhir SS. Protein biomarkers on tissue as imaged via MALDI mass spectrometry: A systematic approach to study the limits of detection. Proteomics 2016; 16:1660-9. [PMID: 26970438 DOI: 10.1002/pmic.201500515] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2015] [Revised: 02/23/2016] [Accepted: 03/05/2016] [Indexed: 01/05/2023]
Abstract
MALDI mass spectrometry imaging (MSI) is emerging as a tool for protein and peptide imaging across tissue sections. Despite extensive study, there does not yet exist a baseline study evaluating the potential capabilities for this technique to detect diverse proteins in tissue sections. In this study, we developed a systematic approach for characterizing MALDI-MSI workflows in terms of limits of detection, coefficients of variation, spatial resolution, and the identification of endogenous tissue proteins. Our goal was to quantify these figures of merit for a number of different proteins and peptides, in order to gain more insight in the feasibility of protein biomarker discovery efforts using this technique. Control proteins and peptides were deposited in serial dilutions on thinly sectioned mouse xenograft tissue. Using our experimental setup, coefficients of variation were <30% on tissue sections and spatial resolution was 200 μm (or greater). Limits of detection for proteins and peptides on tissue were in the micromolar to millimolar range. Protein identification was only possible for proteins present in high abundance in the tissue. These results provide a baseline for the application of MALDI-MSI towards the discovery of new candidate biomarkers and a new benchmarking strategy that can be used for comparing diverse MALDI-MSI workflows.
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Affiliation(s)
- Stephanie M W Y van de Ven
- Canary Center at Stanford, Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.,Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, CA, USA
| | - Kyle D Bemis
- Department of Statistics, Purdue University, West Lafayette, IN, USA
| | - Kenneth Lau
- Canary Center at Stanford, Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Ravali Adusumilli
- Canary Center at Stanford, Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.,Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, CA, USA
| | - Uma Kota
- Canary Center at Stanford, Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.,Thermo Fisher Scientific, San Jose, CA, USA
| | - Mark Stolowitz
- Canary Center at Stanford, Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.,Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, CA, USA
| | - Olga Vitek
- College of Science, College of Computer and Information Science, Northeastern University, Boston, MA, USA
| | - Parag Mallick
- Canary Center at Stanford, Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.,Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, CA, USA
| | - Sanjiv S Gambhir
- Canary Center at Stanford, Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA.,Molecular Imaging Program at Stanford, Stanford University School of Medicine, Stanford, CA, USA.,Department of Bioengineering, Stanford University School of Medicine, Stanford, CA, USA.,Department of Materials Science & Engineering, Stanford, CA, USA
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14
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Heijs B, Tolner EA, Bovée JVMG, van den Maagdenberg AMJM, McDonnell LA. Brain Region-Specific Dynamics of On-Tissue Protein Digestion Using MALDI Mass Spectrometry Imaging. J Proteome Res 2015; 14:5348-54. [PMID: 26544763 DOI: 10.1021/acs.jproteome.5b00849] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023]
Abstract
In mass spectrometry imaging (MSI), on-tissue proteolytic digestion is performed to access larger protein species and to assign protein identities through matching the detected peaks with those obtained by LC-MS/MS analyses of tissue extracts. The on-tissue proteolytic digestion also allows the analysis of proteins from formalin-fixed, paraffin-embedded tissues. For these reasons, on-tissue digestion-based MSI is frequently used in clinical investigations, for example, to determine changes in protein content and distribution associated with a disease. In this work, we sought to investigate the completeness and uniformity of the digestion in on-tissue digestion MSI. On the basis of an extensive experiment investigating three groups with varying incubation times: (i) 1.5 h, (ii) 3 h, and (iii) 18 h, we have found that longer incubation times improve the repeatability of the analyses. Furthermore, we discovered morphology-associated differences in the completeness of the proteolysis for short incubation times. These results support the notion that a more complete proteolysis allows better quantitation.
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Affiliation(s)
- Bram Heijs
- Center for Proteomics and Metabolomics, Leiden University Medical Center , Leiden 2333 ZA, The Netherlands
| | - Else A Tolner
- Department of Neurology, Leiden University Medical Center , Leiden 2333 ZA, The Netherlands.,Department of Human Genetics, Leiden University Medical Center , Leiden 2333 ZA, The Netherlands
| | - Judith V M G Bovée
- Department of Pathology, Leiden University Medical Center , Leiden 2333 ZA, The Netherlands
| | - Arn M J M van den Maagdenberg
- Department of Neurology, Leiden University Medical Center , Leiden 2333 ZA, The Netherlands.,Department of Human Genetics, Leiden University Medical Center , Leiden 2333 ZA, The Netherlands
| | - Liam A McDonnell
- Center for Proteomics and Metabolomics, Leiden University Medical Center , Leiden 2333 ZA, The Netherlands.,Department of Pathology, Leiden University Medical Center , Leiden 2333 ZA, The Netherlands.,Fondazione Pisana per la Scienza ONLUS , Pisa 56125, Italy
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15
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Cole LM, Selvan AN, Partridge R, Reed H, Wright C, Clench MR. Communication of medical images to diverse audiences using multimodal imaging. ACTA ACUST UNITED AC 2015. [DOI: 10.1186/s40679-015-0012-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022]
Abstract
AbstractA study has been completed examining design issues concerning the interpretation of and dissemination of multimodal medical imaging data sets to diverse audiences. To create a model data set mouse fibrosarcoma tissue was visualised via magnetic resonance imaging (MRI), Matrix-Assisted Laser Desorption/Ionisation-Mass Spectrometry (MALDI-MSI) and histology. MRI images were acquired using the 0.25T Esaote GScan; MALDI images were acquired using a Q-Star Pulsar I mass spectrometer. Histological staining of the same tissue sections used for MALDI-MSI was then carried out. Areas assigned to hemosiderin deposits due to haemorrhaging could be visualised via MRI. In the MALDI-MSI data obtained the distribution sphingomyelin species could be used to identify regions of viable tumour. Mathematical ‘up sampling’ using hierarchical clustering-based segmentation provided a sophisticated image enhancement tool for both MRI and MALDI-MS and assisted in the correlation of images.
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16
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Abstract
Pharmacodynamics and toxicodynamics are the study of the biochemical and physiological effects of therapeutic agents and toxicants and their mechanisms of action. MALDI-MS imaging offers great potential for the study of pharmaco/toxicodynamic responses in tissue owing is its ability to study multiple biomarkers simultaneously in a label-free manner. Here, existing examples of such studies examining anticancer drugs and topically applied treatments are described. Examination of the literature shows that the use of MS imaging in pharmaco/toxicodynamic studies is in fact quite low. The reasons for this are discussed and potential developments in the methodology that might lead to its further use are described.
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17
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Patel E, Clench MR, West A, Marshall PS, Marshall N, Francese S. Alternative surfactants for improved efficiency of in situ tryptic proteolysis of fingermarks. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2015; 26:862-72. [PMID: 25916599 PMCID: PMC4422860 DOI: 10.1007/s13361-015-1140-z] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/15/2014] [Revised: 03/13/2015] [Accepted: 03/13/2015] [Indexed: 05/03/2023]
Abstract
Despite recent improvements to in situ proteolysis strategies, a higher efficiency is still needed to increase both the number of peptides detected and the associated ion intensity, leading to a complete and reliable set of biomarkers for diagnostic or prognostic purposes. In the study presented here, an extract of a systematic study is illustrated investigating a range of surfactants assisting trypsin proteolytic activity. Method development was trialled on fingermarks; this specimen results from a transfer of sweat from an individual's fingertip to a surface upon contact. As sweat carries a plethora of biomolecules, including peptides and proteins, fingermarks are, potentially, a very valuable specimen for non-invasive prognostic or diagnostic screening. A recent study has demonstrated the opportunity to quickly detect peptides and small proteins in fingermarks using Matrix Assisted Laser Desorption Ionization Mass Spectrometry Profiling (MALDI MSP). However, intact detection bears low sensitivity and does not allow species identification; therefore, a shotgun proteomic approach was employed involving in situ proteolysis. Data demonstrate that in fingermarks, further improvements to the existing method can be achieved using MEGA-8 as surfactant in higher percentages as well as combinations of different detergents. Also, for the first time, Rapigest SF, normally used in solution digestions, has been shown to successfully work also for in situ proteolysis.
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Affiliation(s)
- Ekta Patel
- />Biomolecular Research Centre, Sheffield Hallam University, Sheffield, S1 1WB UK
| | - Malcolm R. Clench
- />Biomolecular Research Centre, Sheffield Hallam University, Sheffield, S1 1WB UK
| | - Andy West
- />GlaxoSmithKline, Gunnels Wood Road, Stevenage, Hertfordshire SG1 2NY UK
| | - Peter S. Marshall
- />GlaxoSmithKline, Gunnels Wood Road, Stevenage, Hertfordshire SG1 2NY UK
| | - Nathan Marshall
- />Biomolecular Research Centre, Sheffield Hallam University, Sheffield, S1 1WB UK
| | - Simona Francese
- />Biomolecular Research Centre, Sheffield Hallam University, Sheffield, S1 1WB UK
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Cho YT, Su H, Wu WJ, Wu DC, Hou MF, Kuo CH, Shiea J. Biomarker Characterization by MALDI-TOF/MS. Adv Clin Chem 2015; 69:209-54. [PMID: 25934363 DOI: 10.1016/bs.acc.2015.01.001] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Mass spectrometric techniques frequently used in clinical diagnosis, such as gas chromatography-mass spectrometry, liquid chromatography-mass spectrometry, ambient ionization mass spectrometry, and matrix-assisted laser desorption ionization/time-of-flight mass spectrometry (MALDI-TOF/MS), are discussed. Due to its ability to rapidly detect large biomolecules in trace amounts, MALDI-TOF/MS is an ideal tool for characterizing disease biomarkers in biologic samples. Clinical applications of MS for the identification and characterization of microorganisms, DNA fragments, tissues, and biofluids are introduced. Approaches for using MALDI-TOF/MS to detect various disease biomarkers including peptides, proteins, and lipids in biological fluids are further discussed. Finally, various sample pretreatment methods which improve the detection efficiency of disease biomarkers are introduced.
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Affiliation(s)
- Yi-Tzu Cho
- Department of Cosmetic Applications and Management, Yuh-Ing Junior College of Health Care & Management, Kaohsiung, Taiwan
| | - Hung Su
- Department of Chemistry, National Sun Yat-sen University, Kaohsiung, Taiwan
| | - Wen-Jeng Wu
- Department of Urology, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
| | - Deng-Chyang Wu
- Division of Gastroenterology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan; Center for Stem Cell Research, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Ming-Feng Hou
- Department of Surgery, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan; Cancer Center, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan
| | - Chao-Hung Kuo
- Division of Gastroenterology, Department of Internal Medicine, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan; Center for Stem Cell Research, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Jentaie Shiea
- Department of Chemistry, National Sun Yat-sen University, Kaohsiung, Taiwan; Center for Stem Cell Research, Kaohsiung Medical University, Kaohsiung, Taiwan; Cancer Center, Kaohsiung Medical University Hospital, Kaohsiung, Taiwan; Department of Medicinal and Applied Chemistry, Kaohsiung Medical University, Kaohsiung, Taiwan.
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19
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Nilsson A, Goodwin RJA, Shariatgorji M, Vallianatou T, Webborn PJH, Andrén PE. Mass Spectrometry Imaging in Drug Development. Anal Chem 2015; 87:1437-55. [DOI: 10.1021/ac504734s] [Citation(s) in RCA: 133] [Impact Index Per Article: 14.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- Anna Nilsson
- Biomolecular
Imaging and Proteomics, National Center for Mass Spectrometry Imaging,
Department of Pharmaceutical Biosciences, Uppsala University, P.O. Box 591 BMC, 75124 Uppsala, Sweden
| | - Richard J. A. Goodwin
- Drug Safety & Metabolism, Innovative Medicines, AstraZeneca, Darwin Building 310, Cambridge Science Park, Milton Road, Cambridge, Cambridgeshire CB4 OWG, U.K
| | - Mohammadreza Shariatgorji
- Biomolecular
Imaging and Proteomics, National Center for Mass Spectrometry Imaging,
Department of Pharmaceutical Biosciences, Uppsala University, P.O. Box 591 BMC, 75124 Uppsala, Sweden
| | - Theodosia Vallianatou
- Biomolecular
Imaging and Proteomics, National Center for Mass Spectrometry Imaging,
Department of Pharmaceutical Biosciences, Uppsala University, P.O. Box 591 BMC, 75124 Uppsala, Sweden
| | - Peter J. H. Webborn
- Drug Safety & Metabolism, Innovative Medicines, AstraZeneca, Darwin Building 310, Cambridge Science Park, Milton Road, Cambridge, Cambridgeshire CB4 OWG, U.K
| | - Per E. Andrén
- Biomolecular
Imaging and Proteomics, National Center for Mass Spectrometry Imaging,
Department of Pharmaceutical Biosciences, Uppsala University, P.O. Box 591 BMC, 75124 Uppsala, Sweden
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20
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Metabolomic profiling of neoplastic lesions in mice. Methods Enzymol 2014. [PMID: 24924137 DOI: 10.1016/b978-0-12-801329-8.00013-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/30/2023]
Abstract
Most cancers develop upon the accumulation of genetic alterations that provoke and sustain the transformed phenotype. Several metabolomic approaches now allow for the global assessment of intermediate metabolites, generating profound insights into the metabolic rewiring associated with malignant transformation. The metabolomic profiling of neoplastic lesions growing in mice, irrespective of their origin, can provide invaluable information on the mechanisms underlying oncogenesis, tumor progression, and response to therapy. Moreover, the metabolomic profiling of tumors growing in mice may result in the identification of novel diagnostic or prognostic biomarkers, which is of great clinical significance. Several methods can be applied to the metabolomic profiling of neoplastic lesions in mice, including mass spectrometry-based techniques (e.g., gas chromatography-, capillary electrophoresis-, or liquid chromatography-coupled mass spectrometry) as well as nuclear magnetic resonance. Here, we compare and discuss the advantages and disadvantages of all these techniques to provide a concise and reliable guide for readers interested in this active area of investigation.
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Cole LM, Bluff JE, Carolan VA, Paley MN, Tozer GM, Clench MR. MALDI-MSI and label-free LC-ESI-MS/MS shotgun proteomics to investigate protein induction in a murine fibrosarcoma model following treatment with a vascular disrupting agent. Proteomics 2014; 14:890-903. [DOI: 10.1002/pmic.201300429] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2013] [Revised: 12/05/2013] [Accepted: 12/19/2013] [Indexed: 02/01/2023]
Affiliation(s)
- Laura M. Cole
- Biomedical Research Centre; Sheffield Hallam University; Sheffield UK
| | - Joanne E. Bluff
- Tumour Microcirculation Group; Department of Oncology; CR-UK/YCR Sheffield Cancer Research Centre; University of Sheffield; Sheffield UK
| | - Vikki A. Carolan
- Biomedical Research Centre; Sheffield Hallam University; Sheffield UK
| | - Martyn N. Paley
- Department of Cardiovascular Science; University of Sheffield; Sheffield UK
| | - Gillian M. Tozer
- Tumour Microcirculation Group; Department of Oncology; CR-UK/YCR Sheffield Cancer Research Centre; University of Sheffield; Sheffield UK
| | - Malcolm R. Clench
- Biomedical Research Centre; Sheffield Hallam University; Sheffield UK
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22
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Neubert P, Walch A. Current frontiers in clinical research application of MALDI imaging mass spectrometry. Expert Rev Proteomics 2014; 10:259-73. [DOI: 10.1586/epr.13.19] [Citation(s) in RCA: 25] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
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23
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Cillero-Pastor B, Heeren RMA. Matrix-Assisted Laser Desorption Ionization Mass Spectrometry Imaging for Peptide and Protein Analyses: A Critical Review of On-Tissue Digestion. J Proteome Res 2013; 13:325-35. [DOI: 10.1021/pr400743a] [Citation(s) in RCA: 71] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Affiliation(s)
- Berta Cillero-Pastor
- FOM Institute AMOLF, Biomolecular Imaging Mass Spectrometry (BIMS), AMOLF Science Park 104, 1098 XG Amsterdam, The Netherlands
| | - Ron M. A. Heeren
- FOM Institute AMOLF, Biomolecular Imaging Mass Spectrometry (BIMS), AMOLF Science Park 104, 1098 XG Amsterdam, The Netherlands
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Cole LM, Mahmoud K, Haywood-Small S, Tozer GM, Smith DP, Clench MR. Recombinant " IMS TAG" proteins--a new method for validating bottom-up matrix-assisted laser desorption/ionisation ion mobility separation mass spectrometry imaging. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2013; 27:2355-2362. [PMID: 24097391 DOI: 10.1002/rcm.6693] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/28/2013] [Revised: 07/19/2013] [Accepted: 07/19/2013] [Indexed: 06/02/2023]
Abstract
RATIONALE Matrix-assisted laser desorption/ionisation mass spectrometry imaging (MALDI-MSI) provides a methodology to map the distribution of peptides generated by in situ tryptic digestion of biological tissue. It is challenging to correlate these peptides to the proteins from which they arise because of the many potentially overlapping and hence interfering peptide signals generated. METHODS A recombinant protein has been synthesised that when cleaved with trypsin yields a range of peptide standards for use as identification and quantification markers for multiple proteins in one MALDI-IMS-MSI experiment. Mass spectrometry images of the distribution of proteins in fresh frozen and formalin-fixed paraffin-embedded tissue samples following in situ tryptic digestion were generated by isolating signals on the basis of their m/z value and ion mobility drift time, which were correlated to matching peptides in the recombinant standard. RESULTS Tryptic digestion of the IMS-TAG protein and MALDI-MS analysis yielded m/z values and ion mobility drift time for the signature peptides included in it. MALDI-IMS-MSI images for the distribution of the proteins HSP90 and vimentin, in FFPE EMT6 mouse tumours, and HSP90 and plectin in a fresh frozen mouse fibrosarcoma, were generated by extracting ion images at the corresponding m/z value and drift time from the tissue samples. CONCLUSIONS The IMS-TAG approach provides a new means to confirm the identity of peptides generated by in situ digestion of biological tissue.
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Affiliation(s)
- Laura M Cole
- Biomedical Research Centre, Sheffield Hallam University, Howard Street, Sheffield, S1 1WB, UK
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25
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Ferguson LS, Creasey S, Wolstenholme R, Clench MR, Francese S. Efficiency of the dry-wet method for the MALDI-MSI analysis of latent fingermarks. JOURNAL OF MASS SPECTROMETRY : JMS 2013; 48:677-684. [PMID: 23722958 DOI: 10.1002/jms.3216] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/06/2013] [Accepted: 04/04/2013] [Indexed: 06/02/2023]
Abstract
Matrix-assisted laser desorption/ionisation mass spectrometry imaging (MALDI-MSI) has proven to be a powerful analytical tool to investigate problems in several fields of life science. A novel application is in the field of forensics, particularly in the analysis of latent fingermarks. This technology enables images of the fingermark ridge detail and additional intelligence to be simultaneously obtained. Although several methods are available to deposit the MALDI matrix, to make the technology forensically operational, another deposition approach was devised and reported, namely the 'dry-wet' method. In the present study, the efficiency of the dry-wet method was evaluated and compared with the conventional spray coat methodology. Results indicate that the dry-wet method is superior for all the donors' typologies in terms of ion signal intensity and clarity of the ridge details. To underpin the reasons of this efficiency, scanning electron microscopy analyses were carried out in parallel to MALDI-MSI experiments using matrices of different particle size. Results have confirmed that the particle size plays an important role in the efficiency of the method as higher quality images and higher intensity spectra are produced as the matrix particle size decreases.
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Affiliation(s)
- Leesa S Ferguson
- Biomedical Research Centre, Sheffield Hallam University, Howard Street S1 1WB, Sheffield, UK
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Cillero-Pastor B, Eijkel GB, Kiss A, Blanco FJ, Heeren RMA. Matrix-assisted laser desorption ionization-imaging mass spectrometry: a new methodology to study human osteoarthritic cartilage. ACTA ACUST UNITED AC 2013; 65:710-20. [PMID: 23280504 DOI: 10.1002/art.37799] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2012] [Accepted: 11/08/2012] [Indexed: 01/08/2023]
Abstract
OBJECTIVE Information about the distribution of proteins and the modulation that they undergo in the different phases of rheumatic pathologies is essential to understanding the development of these diseases. We undertook this study to demonstrate the utility of mass spectrometry (MS)-based molecular imaging for studying the spatial distribution of different components in human articular cartilage sections. METHODS We compared the distribution of peptides and proteins in human control and osteoarthritic (OA) cartilage. Human control and OA cartilage slices were cut and deposited on conductive slides. After tryptic digestion, we performed matrix-assisted laser desorption ionization-imaging MS (MALDI-IMS) experiments in a MALDI-quadrupole time-of-flight mass spectrometer. Protein identification was undertaken with a combination of multivariate statistical methods and Mascot protein database queries. Hematoxylin and eosin staining and immunohistochemistry were performed to validate the results. RESULTS We created maps of peptide distributions at 150-μm raster size from control and OA human cartilage. Proteins such as biglycan, prolargin, decorin, and aggrecan core protein were identified and localized. Specific protein markers for cartilage oligomeric matrix protein and fibronectin were found exclusively in OA cartilage samples. Their distribution displayed a stronger intensity in the deep area than in the superficial area. New tentative OA markers were found in the deep area of the OA cartilage. CONCLUSION MALDI-IMS identifies and localizes disease-specific peptides and proteins in cartilage. All the OA-related peptides and proteins detected display a stronger intensity in the deep cartilage. MS-based molecular imaging is demonstrated to be an innovative method for studying OA pathology.
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Schöne C, Höfler H, Walch A. MALDI imaging mass spectrometry in cancer research: Combining proteomic profiling and histological evaluation. Clin Biochem 2013; 46:539-45. [DOI: 10.1016/j.clinbiochem.2013.01.018] [Citation(s) in RCA: 73] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2012] [Revised: 01/18/2013] [Accepted: 01/28/2013] [Indexed: 01/31/2023]
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28
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Vincenti DC, Murray GI. The proteomics of formalin-fixed wax-embedded tissue. Clin Biochem 2013; 46:546-51. [DOI: 10.1016/j.clinbiochem.2012.10.002] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2012] [Revised: 09/06/2012] [Accepted: 10/01/2012] [Indexed: 01/16/2023]
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29
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Matrix assisted laser desorption ionisation ion mobility separation mass spectrometry imaging of ex-vivo human skin. ACTA ACUST UNITED AC 2013. [DOI: 10.1007/s12127-013-0124-6] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/27/2022]
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31
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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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32
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Cramer R. Editorial for "advances in biological mass spectrometry and proteomics". Methods 2012; 54:349-50. [PMID: 21839395 DOI: 10.1016/j.ymeth.2011.07.007] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/21/2011] [Indexed: 12/21/2022] Open
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MALDI imaging mass spectrometry for direct tissue analysis: technological advancements and recent applications. Histochem Cell Biol 2011; 136:227-44. [PMID: 21805154 DOI: 10.1007/s00418-011-0843-x] [Citation(s) in RCA: 85] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/09/2011] [Indexed: 12/29/2022]
Abstract
Matrix assisted laser desorption/ionization (MALDI) imaging mass spectrometry (IMS) is a method that allows the investigation of the molecular content of tissues within its morphological context. Since it is able to measure the distribution of hundreds of analytes at once, while being label free, this method has great potential which has been increasingly recognized in the field of tissue-based research. In the last few years, MALDI-IMS has been successfully used for the molecular assessment of tissue samples mainly in biomedical research and also in other scientific fields. The present article will give an update on the application of MALDI-IMS in clinical and preclinical research. It will also give an overview of the multitude of technical advancements of this method in recent years. This includes developments in instrumentation, sample preparation, computational data analysis and protein identification. It will also highlight a number of emerging fields for application of MALDI-IMS like drug imaging where MALDI-IMS is used for studying the spatial distribution of drugs in tissues.
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