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Zhang L, Bai YY, Hong ZS, Xie J, Tian Y. Isolation, Identification, Activity Evaluation, and Mechanism of Action of Neuroprotective Peptides from Walnuts: A Review. Nutrients 2023; 15:4085. [PMID: 37764868 PMCID: PMC10534798 DOI: 10.3390/nu15184085] [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: 08/08/2023] [Revised: 09/14/2023] [Accepted: 09/18/2023] [Indexed: 09/29/2023] Open
Abstract
As human life expectancy increases, the incidence of neurodegenerative diseases in older adults has increased in parallel. Walnuts contain bioactive peptides with demonstrated neuroprotective effects, making them a valuable addition to the diet. We here present a comprehensive review of the various methods used to prepare, isolate, purify, and identify the neuroprotective peptides found in walnuts. We further summarise the different approaches currently used to evaluate the activity of these peptides in experimental settings, highlighting their potential to reduce oxidative stress, neuroinflammation, and promote autophagy, as well as to regulate the gut microflora and balance the cholinergic system. Finally, we offer suggestions for future research concerning bioavailability and improving or masking the bitter taste and sensory properties of final products containing the identified walnut neuroprotective peptides to ensure successful adoption of these peptides as functional food ingredients for neurohealth promotion.
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Affiliation(s)
- Li Zhang
- College of Food Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (L.Z.)
- Engineering Research Center of Development and Utilization of Food and Drug Homologous Resources, Ministry of Education, Yunnan Agricultural University, Kunming 650201, China
- Yunnan Provincial Key Laboratory of Precision Nutrition and Personalized Food Manufacturing, Yunnan Agricultural University, Kunming 650201, China
| | - Yu-Ying Bai
- College of Food Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (L.Z.)
- Yunnan Provincial Key Laboratory of Precision Nutrition and Personalized Food Manufacturing, Yunnan Agricultural University, Kunming 650201, China
| | - Zi-Shan Hong
- College of Food Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (L.Z.)
- Yunnan Provincial Engineering Research Center for Edible and Medicinal Homologous Functional Food, Yunnan Agricultural University, Kunming 650201, China
| | - Jing Xie
- College of Food Science and Technology, Yunnan Agricultural University, Kunming 650201, China; (L.Z.)
- Engineering Research Center of Development and Utilization of Food and Drug Homologous Resources, Ministry of Education, Yunnan Agricultural University, Kunming 650201, China
- Yunnan Provincial Key Laboratory of Precision Nutrition and Personalized Food Manufacturing, Yunnan Agricultural University, Kunming 650201, China
| | - Yang Tian
- Engineering Research Center of Development and Utilization of Food and Drug Homologous Resources, Ministry of Education, Yunnan Agricultural University, Kunming 650201, China
- Yunnan Provincial Key Laboratory of Precision Nutrition and Personalized Food Manufacturing, Yunnan Agricultural University, Kunming 650201, China
- Yunnan Provincial Engineering Research Center for Edible and Medicinal Homologous Functional Food, Yunnan Agricultural University, Kunming 650201, China
- School of Tea and Coffee, Puer University, Puer 665000, China
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Digital Integration of LiDAR System Implemented in a Low-Cost FPGA. Symmetry (Basel) 2022. [DOI: 10.3390/sym14061256] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
With the development of artificial intelligence, LiDAR finds significant applications in robotics and autonomous driving. Aiming at increasing the compactness and the integration of 2-D LiDAR, this paper presents a highly digitally integrated 2-D LiDAR system implemented in a low-cost FPGA. The system is made of off-the-shelf components to limit the cost to USD 100. A laser transceiver with a symmetrical transmitting and receiving lens emits and collects laser pulses to range distance using the time-of-flight (ToF) method. As a key component in ToF, the FPGA-based time-to-digital converter (TDC) is adopted for counting the round-trip time of pulses, which is implemented in a low-cost FPGA of ZYNQ7010 with limited resources. The symmetrical structure of the delay line is used to design a more efficient TDC. The FPGA-TDC enables flexibility of design and integration with more functional logics and is microcontroller-free. All the digital logics including data processing and controlling are integrated into an FPGA with the TDC logics to realize fully digital integration and compact dimensions. The utilization of the whole architecture in the FPGA is about 15%. The experimental results demonstrated that the ranging accuracy of the LiDAR is about 2 cm, which is suitable for consumer electronics.
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3
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Stevens KG, McFarlane LO, Platts K, O'Brien-Simpson N, Li W, Blencowe A, Trim PJ, Pukala TL. Retro Diels-Alder Fragmentation of Fulvene-Maleimide Bioconjugates for Mass Spectrometric Detection of Biomolecules. Anal Chem 2021; 93:12204-12212. [PMID: 34461717 DOI: 10.1021/acs.analchem.1c00193] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Diels-Alder chemistry is a well-explored avenue for the synthesis of bioactive materials; however, its potential applications have recently expanded following the development of reactions that can be performed in buffered aqueous environments at low temperatures, including fulvene-maleimide [4 + 2] cycloadditions. In this study, we synthesized two novel amine-reactive fulvene linkers to demonstrate the application of this chemistry for generating mass spectrometry-cleavable labels ("mass tags"), which can be used for the labeling and detection of proteins. Successful conjugation of these linkers to maleimide-labeled peptides was observed at low temperatures in phosphate-buffered saline, allowing the non-destructive modification of proteins with such mass tags. The labile nature of fulvene-maleimide adducts in the gas phase also makes them suitable for both matrix-assisted laser desorption/ionization (MALDI) and electrospray ionization (ESI) mass spectrometric analysis. Unlike previous examples of MALDI mass tags, we show that fulvene-maleimide cycloaddition adducts fragment predictably upon gas-phase activation without the need for bulky photocleavable groups. Further exploration of this chemistry could therefore lead to new approaches for mass spectrometry-based bioassays.
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Affiliation(s)
- Katherine G Stevens
- Department of Chemistry, Faculty of Sciences, The University of Adelaide, Adelaide, South Australia 5000, Australia
| | - Lewis O McFarlane
- Department of Chemistry, Faculty of Sciences, The University of Adelaide, Adelaide, South Australia 5000, Australia
| | - Kirsten Platts
- Applied Chemistry and Translational Biomaterials Group, Clinical and Health Sciences, The University of South Australia, Adelaide, South Australia 5000, Australia
| | - Neil O'Brien-Simpson
- Centre for Oral Health Research, The Melbourne Dental School and the Bio21 Institute, The University of Melbourne, 720 Swanston Street, Carlton, Melbourne, Victoria 3010, Australia
| | - Wenyi Li
- Centre for Oral Health Research, The Melbourne Dental School and the Bio21 Institute, The University of Melbourne, 720 Swanston Street, Carlton, Melbourne, Victoria 3010, Australia
| | - Anton Blencowe
- Applied Chemistry and Translational Biomaterials Group, Clinical and Health Sciences, The University of South Australia, Adelaide, South Australia 5000, Australia
| | - Paul J Trim
- Proteomics, Metabolomics and MS Imaging, South Australian Health and Medical Research Institute, Adelaide, South Australia 5000, Australia
| | - Tara L Pukala
- Department of Chemistry, Faculty of Sciences, The University of Adelaide, Adelaide, South Australia 5000, Australia
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Schürmann J, Gottwald J, Rottenaicher G, Tholey A, Röcken C. MALDI mass spectrometry imaging unravels organ and amyloid-type specific peptide signatures in pulmonary and gastrointestinal amyloidosis. Proteomics Clin Appl 2021; 15:e2000079. [PMID: 34061454 DOI: 10.1002/prca.202000079] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2020] [Revised: 05/26/2021] [Accepted: 05/31/2021] [Indexed: 12/12/2022]
Abstract
PURPOSE Amyloidosis is a disease group caused by pathological aggregation and deposition of peptides in diverse tissue sites. Recently, matrix-assisted laser desorption/ionization mass spectrometry imaging coupled with ion mobility separation (MALDI-IMS MSI) was introduced as a novel tool to identify and classify amyloidosis using single sections from formalin-fixed and paraffin-embedded cardiac biopsies. Here, we tested the hypothesis that MALDI-IMS MSI can be applied to lung and gastrointestinal specimens. EXPERIMENTAL DESIGN Forty six lung and 65 gastrointestinal biopsy and resection specimens with different types of amyloid were subjected to MALDI-IMS MSI. Ninety three specimens included tissue areas without amyloid as internal negative controls. Nine cases without amyloid served as additional negative controls. RESULTS Utilizing a peptide filter method and 21 known amyloid specific tryptic peptides we confirmed the applicability of a universal peptide signature with a sensitivity of 100% and a specificity of 100% for the detection of amyloid deposits in the lung and gastrointestinal tract. Additionally, the frequencies of individual m/z-values of the 21 tryptic marker peptides showed organ- and tissue-type specific differences. CONCLUSIONS AND CLINICAL RELEVANCE MALDI-IMS MSI adds a valuable analytical approach to diagnose and classify amyloid and the detection frequency of individual tryptic peptides is organ-/tissue-type specific.
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Affiliation(s)
- Jan Schürmann
- Department of Pathology, Christian-Albrechts-University, Kiel, Germany
| | - Juliane Gottwald
- Department of Pathology, Christian-Albrechts-University, Kiel, Germany
| | - Georg Rottenaicher
- Center for Integrated Protein Science Munich at the Department of Chemistry, Technical University of Munich, Garching, Germany
| | - Andreas Tholey
- Systematic Proteome Research & Bioanalytics, Institute of Experimental Medicine, Christian-Albrechts-University, Kiel, Germany
| | - Christoph Röcken
- Department of Pathology, Christian-Albrechts-University, Kiel, Germany
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5
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Stevens KG, Pukala TL. Conjugating immunoassays to mass spectrometry: Solutions to contemporary challenges in clinical diagnostics. Trends Analyt Chem 2020; 132:116064. [PMID: 33046944 PMCID: PMC7539833 DOI: 10.1016/j.trac.2020.116064] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Developments in immunoassays and mass spectrometry have independently influenced diagnostic technology. However, both techniques possess unique strengths and limitations, which define their ability to meet evolving requirements for faster, more affordable and more accurate clinical tests. In response, hybrid techniques, which combine the accessibility and ease-of-use of immunoassays with the sensitivity, high throughput and multiplexing capabilities of mass spectrometry are continually being explored. Developments in antibody conjugation methodology have expanded the role of these biomolecules to applications outside of conventional colorimetric assays and histology. Furthermore, the range of different mass spectrometry ionisation and analysis technologies has enabled its successful adaptation as a detection method for numerous clinically relevant immunological assays. Several recent examples of combined mass spectrometry-immunoassay techniques demonstrate the potential of these methods as improved diagnostic tests for several important human diseases. The present challenges are to continue technological advancements in mass spectrometry instrumentation and develop improved bioconjugation methods, which can overcome their existing limitations and demonstrate the clinical significance of these hybrid approaches.
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Jayathirtha M, Dupree EJ, Manzoor Z, Larose B, Sechrist Z, Neagu AN, Petre BA, Darie CC. Mass Spectrometric (MS) Analysis of Proteins and Peptides. Curr Protein Pept Sci 2020; 22:92-120. [PMID: 32713333 DOI: 10.2174/1389203721666200726223336] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/01/2020] [Revised: 05/12/2020] [Accepted: 05/28/2020] [Indexed: 01/09/2023]
Abstract
The human genome is sequenced and comprised of ~30,000 genes, making humans just a little bit more complicated than worms or flies. However, complexity of humans is given by proteins that these genes code for because one gene can produce many proteins mostly through alternative splicing and tissue-dependent expression of particular proteins. In addition, post-translational modifications (PTMs) in proteins greatly increase the number of gene products or protein isoforms. Furthermore, stable and transient interactions between proteins, protein isoforms/proteoforms and PTM-ed proteins (protein-protein interactions, PPI) add yet another level of complexity in humans and other organisms. In the past, all of these proteins were analyzed one at the time. Currently, they are analyzed by a less tedious method: mass spectrometry (MS) for two reasons: 1) because of the complexity of proteins, protein PTMs and PPIs and 2) because MS is the only method that can keep up with such a complex array of features. Here, we discuss the applications of mass spectrometry in protein analysis.
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Affiliation(s)
- Madhuri Jayathirtha
- Biochemistry & Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY, United States
| | - Emmalyn J Dupree
- Biochemistry & Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY, United States
| | - Zaen Manzoor
- Biochemistry & Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY, United States
| | - Brianna Larose
- Biochemistry & Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY, United States
| | - Zach Sechrist
- Biochemistry & Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY, United States
| | - Anca-Narcisa Neagu
- Laboratory of Animal Histology, Faculty of Biology, "Alexandru Ioan Cuza" University of Iasi, Iasi, Romania
| | - Brindusa Alina Petre
- Laboratory of Biochemistry, Department of Chemistry, Al. I. Cuza University of Iasi, Iasi, Romania, Center for Fundamental Research and Experimental Development in Translation Medicine - TRANSCEND, Regional Institute of Oncology, Iasi, Romania
| | - Costel C Darie
- Biochemistry & Proteomics Group, Department of Chemistry and Biomolecular Science, Clarkson University, 8 Clarkson Avenue, Potsdam, NY, United States
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Wu Z, Bagarolo GI, Thoröe-Boveleth S, Jankowski J. "Lipidomics": Mass spectrometric and chemometric analyses of lipids. Adv Drug Deliv Rev 2020; 159:294-307. [PMID: 32553782 DOI: 10.1016/j.addr.2020.06.009] [Citation(s) in RCA: 56] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Revised: 06/03/2020] [Accepted: 06/06/2020] [Indexed: 01/01/2023]
Abstract
Lipids are ubiquitous in the human organism and play essential roles as components of cell membranes and hormones, for energy storage or as mediators of cell signaling pathways. As crucial mediators of the human metabolism, lipids are also involved in metabolic diseases, cardiovascular and renal diseases, cancer and/or hepatological and neurological disorders. With rapidly growing evidence supporting the impact of lipids on both the genesis and progression of these diseases as well as patient wellbeing, the characterization of the human lipidome has gained high interest and importance in life sciences and clinical diagnostics within the last 15 years. This is mostly due to technically advanced molecular identification and quantification methods, mainly based on mass spectrometry. Mass spectrometry has become one of the most powerful tools for the identification of lipids. New lipidic mediators or biomarkers of diseases can be analysed by state-of-the art mass spectrometry techniques supported by sophisticated bioinformatics and biostatistics. The lipidomic approach has developed dramatically in the realm of life sciences and clinical diagnostics due to the available mass spectrometric methods and in particular due to the adaptation of biostatistical methods in recent years. Therefore, the current knowledge of lipid extraction methods, mass-spectrometric approaches, biostatistical data analysis, including workflows for the interpretation of lipidomic high-throughput data, are reviewed in this manuscript.
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Affiliation(s)
- Zhuojun Wu
- Institute for Molecular Cardiovascular Research, University Hospital RWTH Aachen, Aachen, Pauwelsstraße 30, 52074 Aachen, Germany
| | - Giulia Ilaria Bagarolo
- Institute for Molecular Cardiovascular Research, University Hospital RWTH Aachen, Aachen, Pauwelsstraße 30, 52074 Aachen, Germany
| | - Sven Thoröe-Boveleth
- Institute for Molecular Cardiovascular Research, University Hospital RWTH Aachen, Aachen, Pauwelsstraße 30, 52074 Aachen, Germany
| | - Joachim Jankowski
- Institute for Molecular Cardiovascular Research, University Hospital RWTH Aachen, Aachen, Pauwelsstraße 30, 52074 Aachen, Germany; School for Cardiovascular Diseases, Maastricht University, Universiteitssingel 50, Maastricht, The Netherlands.
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Ahmed M, Broeckx G, Baggerman G, Schildermans K, Pauwels P, Van Craenenbroeck AH, Dendooven A. Next-generation protein analysis in the pathology department. J Clin Pathol 2019; 73:1-6. [DOI: 10.1136/jclinpath-2019-205864] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2019] [Revised: 06/12/2019] [Accepted: 06/20/2019] [Indexed: 02/06/2023]
Abstract
Traditionally, immunohistochemistry (IHC) is used by pathologists to localise specific proteins or peptides in tissue slides. In the era of personalised medicine, however, molecular tissue analysis becomes indispensable for correct diagnosis, prognosis and therapeutic decision, not only on the DNA or mRNA level but also on the protein level. Combining molecular information with imaging presents many advantages. Therefore, matrix-assisted laser desorption/ionisation imaging mass spectrometry (MALDI IMS) is a promising technique to be added to the armamentarium of the pathologist. Here, we focus on the workflow, advantages and drawbacks of both MALDI IMS and IHC. We also briefly discuss a few other protein imaging modalities and give examples of applications.
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Ferrier‐Pagès C, Leal MC. Stable isotopes as tracers of trophic interactions in marine mutualistic symbioses. Ecol Evol 2019; 9:723-740. [PMID: 30680151 PMCID: PMC6342181 DOI: 10.1002/ece3.4712] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/14/2018] [Revised: 09/17/2018] [Accepted: 10/26/2018] [Indexed: 12/31/2022] Open
Abstract
Mutualistic nutritional symbioses are widespread in marine ecosystems. They involve the association of a host organism (algae, protists, or marine invertebrates) with symbiotic microorganisms, such as bacteria, cyanobacteria, or dinoflagellates. Nutritional interactions between the partners are difficult to identify in symbioses because they only occur in intact associations. Stable isotope analysis (SIA) has proven to be a useful tool to highlight original nutrient sources and to trace nutrients acquired by and exchanged between the different partners of the association. However, although SIA has been extensively applied to study different marine symbiotic associations, there is no review taking into account of the different types of symbiotic associations, how they have been studied via SIA, methodological issues common among symbiotic associations, and solutions that can be transferred from one type of association with another. The present review aims to fill such gaps in the scientific literature by summarizing the current knowledge of how isotopes have been applied to key marine symbioses to unravel nutrient exchanges between partners, and by describing the difficulties in interpreting the isotopic signal. This review also focuses on the use of compound-specific stable isotope analysis and on statistical advances to analyze stable isotope data. It also highlights the knowledge gaps that would benefit from future research.
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Affiliation(s)
| | - Miguel Costa Leal
- MARE – Marine and Environmental Sciences CentreFaculdade de Ciências da Universidade de LisboaLisbonPortugal
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10
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Neagu AN. Proteome Imaging: From Classic to Modern Mass Spectrometry-Based Molecular Histology. ADVANCES IN EXPERIMENTAL MEDICINE AND BIOLOGY 2019; 1140:55-98. [PMID: 31347042 DOI: 10.1007/978-3-030-15950-4_4] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
In order to overcome the limitations of classic imaging in Histology during the actually era of multiomics, the multi-color "molecular microscope" by its emerging "molecular pictures" offers quantitative and spatial information about thousands of molecular profiles without labeling of potential targets. Healthy and diseased human tissues, as well as those of diverse invertebrate and vertebrate animal models, including genetically engineered species and cultured cells, can be easily analyzed by histology-directed MALDI imaging mass spectrometry. The aims of this review are to discuss a range of proteomic information emerging from MALDI mass spectrometry imaging comparative to classic histology, histochemistry and immunohistochemistry, with applications in biology and medicine, concerning the detection and distribution of structural proteins and biological active molecules, such as antimicrobial peptides and proteins, allergens, neurotransmitters and hormones, enzymes, growth factors, toxins and others. The molecular imaging is very well suited for discovery and validation of candidate protein biomarkers in neuroproteomics, oncoproteomics, aging and age-related diseases, parasitoproteomics, forensic, and ecotoxicology. Additionally, in situ proteome imaging may help to elucidate the physiological and pathological mechanisms involved in developmental biology, reproductive research, amyloidogenesis, tumorigenesis, wound healing, neural network regeneration, matrix mineralization, apoptosis and oxidative stress, pain tolerance, cell cycle and transformation under oncogenic stress, tumor heterogeneity, behavior and aggressiveness, drugs bioaccumulation and biotransformation, organism's reaction against environmental penetrating xenobiotics, immune signaling, assessment of integrity and functionality of tissue barriers, behavioral biology, and molecular origins of diseases. MALDI MSI is certainly a valuable tool for personalized medicine and "Eco-Evo-Devo" integrative biology in the current context of global environmental challenges.
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Affiliation(s)
- Anca-Narcisa Neagu
- Laboratory of Animal Histology, Faculty of Biology, "Alexandru Ioan Cuza" University of Iasi, Iasi, Romania.
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11
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Rocha B, Ruiz-Romero C, Blanco FJ. Mass spectrometry imaging: a novel technology in rheumatology. Nat Rev Rheumatol 2016; 13:52-63. [DOI: 10.1038/nrrheum.2016.184] [Citation(s) in RCA: 38] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
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Rocha B, Cillero-Pastor B, Blanco FJ, Ruiz-Romero C. MALDI mass spectrometry imaging in rheumatic diseases. BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS 2016; 1865:784-794. [PMID: 27742553 DOI: 10.1016/j.bbapap.2016.10.004] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/02/2016] [Revised: 09/29/2016] [Accepted: 10/04/2016] [Indexed: 01/15/2023]
Abstract
Mass spectrometry imaging (MSI) is a technique used to visualize the spatial distribution of biomolecules such as peptides, proteins, lipids or other organic compounds by their molecular masses. Among the different MSI strategies, MALDI-MSI provides a sensitive and label-free approach for imaging of a wide variety of protein or peptide biomarkers from the surface of tissue sections, being currently used in an increasing number of biomedical applications such as biomarker discovery and tissue classification. In the field of rheumatology, MALDI-MSI has been applied to date for the analysis of joint tissues such as synovial membrane or cartilage. This review summarizes the studies and key achievements obtained using MALDI-MSI to increase understanding on rheumatic pathologies and to describe potential diagnostic or prognostic biomarkers of these diseases. 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)
- Beatriz Rocha
- Proteomics Unit-ProteoRed/ISCIII, Rheumatology Group, INIBIC - Hospital Universitario de A Coruña, SERGAS, A Coruña, Spain
| | | | - Francisco J Blanco
- Proteomics Unit-ProteoRed/ISCIII, Rheumatology Group, INIBIC - Hospital Universitario de A Coruña, SERGAS, A Coruña, Spain; RIER-RED de Inflamación y Enfermedades Reumáticas, INIBIC-CHUAC, A Coruña, Spain.
| | - Cristina Ruiz-Romero
- Proteomics Unit-ProteoRed/ISCIII, Rheumatology Group, INIBIC - Hospital Universitario de A Coruña, SERGAS, A Coruña, Spain; CIBER-BBN Instituto de Salud Carlos III, INIBIC-CHUAC, A Coruña, Spain.
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14
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Abstract
Enriched by a decade of remarkable developments, matrix-assisted laser desorption ionization imaging mass spectrometry (MALDI IMS) has witnessed a phenomenal expansion. Initially introduced for the mapping of peptides and intact proteins from mammalian tissue sections, MALDI IMS applications now extend to a wide range of molecules including peptides, lipids, metabolites and xenobiotics. Technology and methodology are quickly evolving to push the limits of the technique forward. Within a short period of time, numerous protocols and concepts have been developed and introduced in tissue section preparation, nonexhaustively including in situ tissue chemistries and solvent-free matrix depositions. Considering the past progress and current capabilities, this Review aims to cover the different aspects and challenges of tissue section preparation for MALDI IMS.
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15
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Kopp C, Wisztorski M, Revel J, Mehiri M, Dani V, Capron L, Carette D, Fournier I, Massi L, Mouajjah D, Pagnotta S, Priouzeau F, Salzet M, Meibom A, Sabourault C. MALDI-MS and NanoSIMS imaging techniques to study cnidarian-dinoflagellate symbioses. ZOOLOGY 2014; 118:125-31. [PMID: 25447219 DOI: 10.1016/j.zool.2014.06.006] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2014] [Revised: 06/29/2014] [Accepted: 06/30/2014] [Indexed: 12/22/2022]
Abstract
Cnidarian-dinoflagellate photosynthetic symbioses are fundamental to biologically diverse and productive coral reef ecosystems. The hallmark of this symbiotic relationship is the ability of dinoflagellate symbionts to supply their cnidarian host with a wide range of nutrients. Many aspects of this association nevertheless remain poorly characterized, including the exact identity of the transferred metabolic compounds, the mechanisms that control their exchange across the host-symbiont interface, and the precise subcellular fate of the translocated materials in cnidarian tissues. This lack of knowledge is mainly attributed to difficulties in investigating such metabolic interactions both in situ, i.e. on intact symbiotic associations, and at high spatial resolution. To address these issues, we illustrate the application of two in situ and high spatial resolution molecular and ion imaging techniques-matrix-assisted laser desorption ionization mass spectrometry imaging (MALDI-MSI) and the nano-scale secondary-ion mass spectrometry (NanoSIMS) ion microprobe. These imaging techniques provide important new opportunities for the detailed investigation of many aspects of cnidarian-dinoflagellate associations, including the dynamics of cellular interactions.
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Affiliation(s)
- C Kopp
- Laboratory for Biological Geochemistry, School of Architecture, Civil and Environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland.
| | - M Wisztorski
- PRISM, University of Lille 1, EA 4550 - FRE3637 CNRS, Bat SN3, F-59655 Villeneuve d'Ascq Cedex, France
| | - J Revel
- UMR7138 University of Nice-Sophia Antipolis, CNRS, Faculty of Science, 28 Avenue Valrose, BP 71, F-06108 Nice Cedex 2, France; UMR7138 Sorbonne University Paris 6, CNRS, Institut de Biologie Paris-Seine, 7 quai Saint Bernard, 75005 Paris, France
| | - M Mehiri
- UMR7272 University of Nice-Sophia Antipolis, CNRS, Institut de Chimie de Nice, Faculty of Science, 28 Avenue Valrose, BP 71, F-06108 Nice Cedex 2, France
| | - V Dani
- UMR7138 University of Nice-Sophia Antipolis, CNRS, Faculty of Science, 28 Avenue Valrose, BP 71, F-06108 Nice Cedex 2, France; UMR7138 Sorbonne University Paris 6, CNRS, Institut de Biologie Paris-Seine, 7 quai Saint Bernard, 75005 Paris, France
| | - L Capron
- UMR7272 University of Nice-Sophia Antipolis, CNRS, Institut de Chimie de Nice, Faculty of Science, 28 Avenue Valrose, BP 71, F-06108 Nice Cedex 2, France
| | - D Carette
- CCMA, University of Nice-Sophia Antipolis, Faculty of Science, 28 Avenue Valrose, BP 71, F-06108 Nice Cedex 2, France
| | - I Fournier
- PRISM, University of Lille 1, EA 4550 - FRE3637 CNRS, Bat SN3, F-59655 Villeneuve d'Ascq Cedex, France
| | - L Massi
- UMR7272 University of Nice-Sophia Antipolis, CNRS, Institut de Chimie de Nice, Faculty of Science, 28 Avenue Valrose, BP 71, F-06108 Nice Cedex 2, France
| | - D Mouajjah
- PRISM, University of Lille 1, EA 4550 - FRE3637 CNRS, Bat SN3, F-59655 Villeneuve d'Ascq Cedex, France
| | - S Pagnotta
- CCMA, University of Nice-Sophia Antipolis, Faculty of Science, 28 Avenue Valrose, BP 71, F-06108 Nice Cedex 2, France
| | - F Priouzeau
- UMR7138 University of Nice-Sophia Antipolis, CNRS, Faculty of Science, 28 Avenue Valrose, BP 71, F-06108 Nice Cedex 2, France; UMR7138 Sorbonne University Paris 6, CNRS, Institut de Biologie Paris-Seine, 7 quai Saint Bernard, 75005 Paris, France
| | - M Salzet
- PRISM, University of Lille 1, EA 4550 - FRE3637 CNRS, Bat SN3, F-59655 Villeneuve d'Ascq Cedex, France
| | - A Meibom
- Laboratory for Biological Geochemistry, School of Architecture, Civil and Environmental Engineering (ENAC), Ecole Polytechnique Fédérale de Lausanne (EPFL), CH-1015 Lausanne, Switzerland; Center for Advanced Surface Analysis, Institute of Earth Sciences, University of Lausanne, CH-1015 Lausanne, Switzerland
| | - C Sabourault
- UMR7138 University of Nice-Sophia Antipolis, CNRS, Faculty of Science, 28 Avenue Valrose, BP 71, F-06108 Nice Cedex 2, France; UMR7138 Sorbonne University Paris 6, CNRS, Institut de Biologie Paris-Seine, 7 quai Saint Bernard, 75005 Paris, France.
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16
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Abdalsamee MK, Giampà M, Niehaus K, Müller C. Rapid incorporation of glucosinolates as a strategy used by a herbivore to prevent activation by myrosinases. INSECT BIOCHEMISTRY AND MOLECULAR BIOLOGY 2014; 52:115-123. [PMID: 25017143 DOI: 10.1016/j.ibmb.2014.07.002] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/28/2014] [Revised: 06/27/2014] [Accepted: 07/02/2014] [Indexed: 06/03/2023]
Abstract
Various plants have a binary defence system that consists of a substrate and a glucosidase, which is activated upon tissue disruption thereby forming reactive hydrolysis products. Insects feeding on such plants have to overcome this binary defence system or prevent the activation. In this study, we investigated the strategy used by a herbivore to deal with such binary defence. We studied, how the larvae of the sawfly Athalia rosae (Hymenoptera: Tenthredinidae) circumvent the activation of glucosinolates by myrosinase enzymes, which are found in their Brassicaceae host plants. Myrosinase activities were low in the front part of the larval gut but activities increased over the gut passage. In contrast, the glucosinolates were only highly concentrated in the first gut part and were rapidly incorporated into the haemolymph before the food reached the second half of the gut. Thus, the uptake and concentration of glucosinolates, i.e., sequestration, must occur in the front part of the gut. Using Matrix Assisted Laser Desorption Ionization-Mass Spectrometry Imaging (MALDI-MSI), we could demonstrate that the incorporated glucosinolate sinalbin circulates in the haemolymph where it accumulates around the Malpighian tubules. This study highlights the pivotal role of the gut of an adapted herbivore as a regulatory functional organ to cope with plant toxins. MALDI-MSI turned out as a highly useful technique to visualise glucosinolates in a herbivore, which has to deal with plants exhibiting a binary defence system, and may be applied to follow the fate of plant metabolites in other insect species in the future.
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Affiliation(s)
- Mohamed K Abdalsamee
- Department of Chemical Ecology, Bielefeld University, Universitätsstr. 25, 33615 Bielefeld, Germany
| | - Marco Giampà
- Center for Biotechnology and Department for Proteome and Metabolome Research, Bielefeld University, Universitätsstr. 27, 33615 Bielefeld, Germany
| | - Karsten Niehaus
- Center for Biotechnology and Department for Proteome and Metabolome Research, Bielefeld University, Universitätsstr. 27, 33615 Bielefeld, Germany
| | - Caroline Müller
- Department of Chemical Ecology, Bielefeld University, Universitätsstr. 25, 33615 Bielefeld, Germany.
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17
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Longuespée R, Tastet C, Desmons A, Kerdraon O, Day R, Fournier I, Salzet M. HFIP extraction followed by 2D CTAB/SDS-PAGE separation: a new methodology for protein identification from tissue sections after MALDI mass spectrometry profiling for personalized medicine research. OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY 2014; 18:374-84. [PMID: 24841221 DOI: 10.1089/omi.2013.0176] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Matrix-assisted laser desorption ionization mass spectrometry imaging (MALDI-MSI) and profiling technology have become the easiest methods for quickly accessing the protein composition of a tissue area. Unfortunately, the demand for the identification of these proteins remains unmet. To overcome this bottleneck, we combined several strategies to identify the proteins detected via MALDI profiling including on-tissue protein extraction using hexafluoroIsopropanol (1,1,1,3,3,3-hexafluoro-2-propanol, HFIP) coupled with two-dimensional cetyl trimethylammonium bromide/sodium dodecyl sulfate-polyacrylamide gel electrophoresis (2D CTAB/SDS-PAGE) for separation followed by trypsin digestion and MALDI-MS analyses for identification. This strategy was compared with an on-tissue bottom-up strategy that we previously developed. The data reflect the complementarity of the approaches. An increase in the number of specific proteins identified has been established. This approach demonstrates the potential of adapted extraction procedures and the combination of parallel identification approaches for personalized medicine applications. The anatomical context provides important insight into identifying biomarkers and may be considered a first step for tissue-based biomarker research, as well as the extemporaneous examination of biopsies during surgery.
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Affiliation(s)
- Rémi Longuespée
- 1 Laboratoire de Protéomique, Réponse Inflammatoire, Spectrométrie de Masse (PRISM), MALDI Imaging Team, Université de Lille 1 , Cité Scientifique, Lille, France
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18
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Longuespée R, Boyon C, Desmons A, Kerdraon O, Leblanc E, Farré I, Vinatier D, Day R, Fournier I, Salzet M. Spectroimmunohistochemistry: A Novel Form of MALDI Mass Spectrometry Imaging Coupled to Immunohistochemistry for Tracking Antibodies. OMICS-A JOURNAL OF INTEGRATIVE BIOLOGY 2014; 18:132-41. [DOI: 10.1089/omi.2013.0075] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Affiliation(s)
- Rémi Longuespée
- Laboratoire PRISM : Protéomique, Réponse Inflammatoire, Spectrométrie de Masse, Cité Scientifique, Villeneuve D'Ascq, Lille Cedex, France
- Institut de Pharmacologie de Sherbrooke, Département de Chirurgie/Urologie, Université de Sherbrooke, Sherbrooke, Québec, Canada
| | - Charlotte Boyon
- Laboratoire PRISM : Protéomique, Réponse Inflammatoire, Spectrométrie de Masse, Cité Scientifique, Villeneuve D'Ascq, Lille Cedex, France
- Hôpital Jeanne de Flandre, Service de Chirurgie Gynécologique, Lille Cedex, France
| | - Annie Desmons
- Laboratoire PRISM : Protéomique, Réponse Inflammatoire, Spectrométrie de Masse, Cité Scientifique, Villeneuve D'Ascq, Lille Cedex, France
| | - Olivier Kerdraon
- Laboratoire PRISM : Protéomique, Réponse Inflammatoire, Spectrométrie de Masse, Cité Scientifique, Villeneuve D'Ascq, Lille Cedex, France
- Laboratoire d'Anatomie et de Cytologie Pathologiques, CHRU Lille, Lille Cedex, France
| | - Eric Leblanc
- Laboratoire PRISM : Protéomique, Réponse Inflammatoire, Spectrométrie de Masse, Cité Scientifique, Villeneuve D'Ascq, Lille Cedex, France
- Centre Oscar-Lambret, Département de Cancérologie Gynécologique, Lille Cedex, France
| | - Isabelle Farré
- Laboratoire PRISM : Protéomique, Réponse Inflammatoire, Spectrométrie de Masse, Cité Scientifique, Villeneuve D'Ascq, Lille Cedex, France
- Centre Oscar-Lambret, Département de Cancérologie Gynécologique, Lille Cedex, France
| | - Denis Vinatier
- Laboratoire PRISM : Protéomique, Réponse Inflammatoire, Spectrométrie de Masse, Cité Scientifique, Villeneuve D'Ascq, Lille Cedex, France
- Hôpital Jeanne de Flandre, Service de Chirurgie Gynécologique, Lille Cedex, France
| | - Robert Day
- Laboratoire d'Anatomie et de Cytologie Pathologiques, CHRU Lille, Lille Cedex, France
| | - Isabelle Fournier
- Laboratoire PRISM : Protéomique, Réponse Inflammatoire, Spectrométrie de Masse, Cité Scientifique, Villeneuve D'Ascq, Lille Cedex, France
| | - Michel Salzet
- Laboratoire PRISM : Protéomique, Réponse Inflammatoire, Spectrométrie de Masse, Cité Scientifique, Villeneuve D'Ascq, Lille Cedex, France
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19
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Diologent L, Franck J, Wisztorski M, Treizebre A, Focsa C, Fournier I, Ziskind M. On the Origin of Increased Sensitivity and Mass Resolution Using Silicon Masks in MALDI. Anal Chem 2014; 86:1404-13. [DOI: 10.1021/ac401329r] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Affiliation(s)
- Laurent Diologent
- Laboratoire de
Spectrométrie de Masse Biologique Fondamentale et Appliquée
- EA 4550, Bât SN3, Université Lille 1, F-59655 Villeneuve
d’Ascq Cedex, France
- Laboratoire
de Physique des Lasers, Atomes et Molécules - CNRS UMR 8523, Bât P5,Université Lille 1, F-59655 Villeneuve
d’Ascq Cedex, France
| | - Julien Franck
- Laboratoire de
Spectrométrie de Masse Biologique Fondamentale et Appliquée
- EA 4550, Bât SN3, Université Lille 1, F-59655 Villeneuve
d’Ascq Cedex, France
| | - Maxence Wisztorski
- Laboratoire de
Spectrométrie de Masse Biologique Fondamentale et Appliquée
- EA 4550, Bât SN3, Université Lille 1, F-59655 Villeneuve
d’Ascq Cedex, France
| | - Anthony Treizebre
- Institute of Electronics,
Microelectronics and Nanotechnology - UMR-CNRS 8520, Université Lille 1, F59655 Villeneuve d’Ascq, France
| | - Cristian Focsa
- Laboratoire
de Physique des Lasers, Atomes et Molécules - CNRS UMR 8523, Bât P5,Université Lille 1, F-59655 Villeneuve
d’Ascq Cedex, France
| | - Isabelle Fournier
- Laboratoire de
Spectrométrie de Masse Biologique Fondamentale et Appliquée
- EA 4550, Bât SN3, Université Lille 1, F-59655 Villeneuve
d’Ascq Cedex, France
| | - Michael Ziskind
- Laboratoire
de Physique des Lasers, Atomes et Molécules - CNRS UMR 8523, Bât P5,Université Lille 1, F-59655 Villeneuve
d’Ascq Cedex, France
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20
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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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21
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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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22
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Franck J, Quanico J, Wisztorski M, Day R, Salzet M, Fournier I. Quantification-Based Mass Spectrometry Imaging of Proteins by Parafilm Assisted Microdissection. Anal Chem 2013; 85:8127-34. [DOI: 10.1021/ac4009397] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Affiliation(s)
- Julien Franck
- Laboratoire de Spectrométrie
de Masse Biologique Fondamentale et Appliquée-EA 4550, Université de Lille 1, Bât SN3, 1er étage, F-59655 Villeneuve D′Ascq, France
| | - Jusal Quanico
- Laboratoire de Spectrométrie
de Masse Biologique Fondamentale et Appliquée-EA 4550, Université de Lille 1, Bât SN3, 1er étage, F-59655 Villeneuve D′Ascq, France
- Institut de pharmacologie de
Sherbrooke, Département de chirurgie/service d’urologie,
Faculté de Médicine et des Sciences de la Santé, Université de Sherbrooke, Sherbrooke, Québec,
J1H 5N4, Canada
| | - Maxence Wisztorski
- Laboratoire de Spectrométrie
de Masse Biologique Fondamentale et Appliquée-EA 4550, Université de Lille 1, Bât SN3, 1er étage, F-59655 Villeneuve D′Ascq, France
| | - Robert Day
- Institut de pharmacologie de
Sherbrooke, Département de chirurgie/service d’urologie,
Faculté de Médicine et des Sciences de la Santé, Université de Sherbrooke, Sherbrooke, Québec,
J1H 5N4, Canada
| | - Michel Salzet
- Laboratoire de Spectrométrie
de Masse Biologique Fondamentale et Appliquée-EA 4550, Université de Lille 1, Bât SN3, 1er étage, F-59655 Villeneuve D′Ascq, France
| | - Isabelle Fournier
- Laboratoire de Spectrométrie
de Masse Biologique Fondamentale et Appliquée-EA 4550, Université de Lille 1, Bât SN3, 1er étage, F-59655 Villeneuve D′Ascq, France
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23
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Di Girolamo F, Del Chierico F, Caenaro G, Lante I, Muraca M, Putignani L. Human serum proteome analysis: new source of markers in metabolic disorders. Biomark Med 2013; 6:759-73. [PMID: 23227840 DOI: 10.2217/bmm.12.92] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
The prevalence of metabolic disorders (MDs), especially diabetes, is rapidly increasing worldwide, leading to an increasing risk of cardiovascular and other socially relevant complications. To boost MD biomarker discovery, advanced proteomics can harmonize metabolomics. Indeed, the rapid development of mass spectrometry (MS) has designated proteomics as an emerging platform to interrogate the plasma/serum proteome for the discovery of next-generation biomarkers exploitable for risk assessment, early detection and prognosis of MDs. Preanalytical plasma/serum treatment, such as combinatorial peptide ligand libraries with nano-liquid chromatography coupled with tandem MS or selected reaction monitoring coupled to triple-quadrupole time-of-flight instruments, are proven clinical laboratory techniques for quantitative analyses. New strategies, such as SWATH™ MS, which allows us to systematically characterize and quantify query sample sets of 'any protein of interest' in complex biological samples, may dramatically improve next-generation MD biomarkers, especially considering the plethora of candidates coming from the 'bioreactor' gut microbiota affecting MD onset and progression.
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Affiliation(s)
- Francesco Di Girolamo
- Parasitology Unit, Department of Laboratories, Bambino Gesù Children's Hospital, IRCCS, Piazza Sant'Onofrio 4, 00165 Rome, Italy
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24
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Toss A, De Matteis E, Rossi E, Casa LD, Iannone A, Federico M, Cortesi L. Ovarian cancer: can proteomics give new insights for therapy and diagnosis? Int J Mol Sci 2013; 14:8271-90. [PMID: 23591842 PMCID: PMC3645742 DOI: 10.3390/ijms14048271] [Citation(s) in RCA: 26] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2013] [Revised: 03/11/2013] [Accepted: 04/02/2013] [Indexed: 12/24/2022] Open
Abstract
The study of the ovarian proteomic profile represents a new frontier in ovarian cancer research, since this approach is able to enlighten the wide variety of post-translational events (such as glycosylation and phosphorylation). Due to the possibility of analyzing thousands of proteins, which could be simultaneously altered, comparative proteomics represent a promising model of possible biomarker discovery for ovarian cancer detection and monitoring. Moreover, defining signaling pathways in ovarian cancer cells through proteomic analysis offers the opportunity to design novel drugs and to optimize the use of molecularly targeted agents against crucial and biologically active pathways. Proteomic techniques provide more information about different histological types of ovarian cancer, cell growth and progression, genes related to tumor microenvironment and specific molecular targets predictive of response to chemotherapy than sequencing or microarrays. Estimates of specificity with proteomics are less consistent, but suggest a new role for combinations of biomarkers in early ovarian cancer diagnosis, such as the OVA1 test. Finally, the definition of the proteomic profiles in ovarian cancer would be accurate and effective in identifying which pathways are differentially altered, defining the most effective therapeutic regimen and eventually improving health outcomes.
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Affiliation(s)
- Angela Toss
- Department of Oncology & Haematology, University of Modena and Reggio Emilia, Modena 41125, Italy; E-Mails: (A.T.); (E.D.M.); (M.F.)
| | - Elisabetta De Matteis
- Department of Oncology & Haematology, University of Modena and Reggio Emilia, Modena 41125, Italy; E-Mails: (A.T.); (E.D.M.); (M.F.)
| | - Elena Rossi
- ProteoWork Lab, the Department of Biomedical Sciences, University of Modena and Reggio Emilia, Modena 41125, Italy; E-Mails: (E.R.); (L.D.C.); (A.I.)
| | - Lara Della Casa
- ProteoWork Lab, the Department of Biomedical Sciences, University of Modena and Reggio Emilia, Modena 41125, Italy; E-Mails: (E.R.); (L.D.C.); (A.I.)
| | - Anna Iannone
- ProteoWork Lab, the Department of Biomedical Sciences, University of Modena and Reggio Emilia, Modena 41125, Italy; E-Mails: (E.R.); (L.D.C.); (A.I.)
| | - Massimo Federico
- Department of Oncology & Haematology, University of Modena and Reggio Emilia, Modena 41125, Italy; E-Mails: (A.T.); (E.D.M.); (M.F.)
| | - Laura Cortesi
- Department of Oncology & Haematology, University of Modena and Reggio Emilia, Modena 41125, Italy; E-Mails: (A.T.); (E.D.M.); (M.F.)
- Author to whom correspondence should be addressed; E-Mail: ; Tel.: +39-059-4224-334; Fax: +39-059-4224-152
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