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Chen Y, Yang S, Yu K, Zhang J, Wu M, Zheng Y, Zhu Y, Dai J, Wang C, Zhu X, Dai Y, Sun Y, Wu T, Wang S. Spatial omics: An innovative frontier in aging research. Ageing Res Rev 2024; 93:102158. [PMID: 38056503 DOI: 10.1016/j.arr.2023.102158] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 11/25/2023] [Accepted: 12/01/2023] [Indexed: 12/08/2023]
Abstract
Disentangling the impact of aging on health and disease has become critical as population aging progresses rapidly. Studying aging at the molecular level is complicated by the diverse aging profiles and dynamics. However, the examination of cellular states within aging tissues in situ is hampered by the lack of high-resolution spatial data. Emerging spatial omics technologies facilitate molecular and spatial analysis of tissues, providing direct access to precise information on various functional regions and serving as a favorable tool for unraveling the heterogeneity of aging. In this review, we summarize the recent advances in spatial omics application in multi-organ aging research, which has enhanced the understanding of aging mechanisms from multiple standpoints. We also discuss the main challenges in spatial omics research to date, the opportunities for further developing the technology, and the potential applications of spatial omics in aging and aging-related diseases.
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Affiliation(s)
- Ying Chen
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; National Clinical Research Center for Obstetrical and Gynecological Diseases, Wuhan, China; Ministry of Education, Key Laboratory of Cancer Invasion and Metastasis, Wuhan, China
| | - Shuhao Yang
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; National Clinical Research Center for Obstetrical and Gynecological Diseases, Wuhan, China; Ministry of Education, Key Laboratory of Cancer Invasion and Metastasis, Wuhan, China
| | - Kaixu Yu
- Department of Orthopedics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jinjin Zhang
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; National Clinical Research Center for Obstetrical and Gynecological Diseases, Wuhan, China; Ministry of Education, Key Laboratory of Cancer Invasion and Metastasis, Wuhan, China
| | - Meng Wu
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; National Clinical Research Center for Obstetrical and Gynecological Diseases, Wuhan, China; Ministry of Education, Key Laboratory of Cancer Invasion and Metastasis, Wuhan, China
| | - Yongqiang Zheng
- State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Centre, Sun Yat-sen University, Guangzhou, China
| | - Yun Zhu
- Department of Internal Medicine, Southern Illinois University School of Medicine, 801 N. Rutledge, P.O. Box 19628, Springfield, IL 62702, USA
| | - Jun Dai
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; National Clinical Research Center for Obstetrical and Gynecological Diseases, Wuhan, China; Ministry of Education, Key Laboratory of Cancer Invasion and Metastasis, Wuhan, China
| | - Chunyan Wang
- College of Science & Engineering Jinan University, Guangzhou, China
| | - Xiaoran Zhu
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; National Clinical Research Center for Obstetrical and Gynecological Diseases, Wuhan, China; Ministry of Education, Key Laboratory of Cancer Invasion and Metastasis, Wuhan, China
| | - Yun Dai
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; National Clinical Research Center for Obstetrical and Gynecological Diseases, Wuhan, China; Ministry of Education, Key Laboratory of Cancer Invasion and Metastasis, Wuhan, China
| | - Yunhong Sun
- Hubei Key Laboratory of Food Nutrition and Safety, MOE Key Lab of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Tong Wu
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; National Clinical Research Center for Obstetrical and Gynecological Diseases, Wuhan, China; Ministry of Education, Key Laboratory of Cancer Invasion and Metastasis, Wuhan, China.
| | - Shixuan Wang
- Department of Obstetrics and Gynecology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China; National Clinical Research Center for Obstetrical and Gynecological Diseases, Wuhan, China; Ministry of Education, Key Laboratory of Cancer Invasion and Metastasis, Wuhan, China.
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Yang M, Unsihuay D, Hu H, Meke FN, Qu Z, Zhang ZY, Laskin J. Nano-DESI Mass Spectrometry Imaging of Proteoforms in Biological Tissues with High Spatial Resolution. Anal Chem 2023; 95:5214-5222. [PMID: 36917636 PMCID: PMC11330692 DOI: 10.1021/acs.analchem.2c04795] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/16/2023]
Abstract
Mass spectrometry imaging (MSI) is a powerful tool for label-free mapping of the spatial distribution of proteins in biological tissues. We have previously demonstrated imaging of individual proteoforms in biological tissues using nanospray desorption electrospray ionization (nano-DESI), an ambient liquid extraction-based MSI technique. Nano-DESI MSI generates multiply charged protein ions, which is advantageous for their identification using top-down proteomics analysis. In this study, we demonstrate proteoform mapping in biological tissues with a spatial resolution down to 7 μm using nano-DESI MSI. A substantial decrease in protein signals observed in high-spatial-resolution MSI makes these experiments challenging. We have enhanced the sensitivity of nano-DESI MSI experiments by optimizing the design of the capillary-based probe and the thickness of the tissue section. In addition, we demonstrate that oversampling may be used to further improve spatial resolution at little or no expense to sensitivity. These developments represent a new step in MSI-based spatial proteomics, which complements targeted imaging modalities widely used for studying biological systems.
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Affiliation(s)
- Manxi Yang
- Department of Chemistry, Purdue University, West Lafayette, IN, 47907, USA
| | - Daisy Unsihuay
- Department of Chemistry, Purdue University, West Lafayette, IN, 47907, USA
| | - Hang Hu
- Department of Chemistry, Purdue University, West Lafayette, IN, 47907, USA
| | - Frederick Nguele Meke
- Department of Medicinal Chemistry and Molecular Pharmacology, Purdue University, West Lafayette, IN, 47907, USA
| | - Zihan Qu
- Department of Chemistry, Purdue University, West Lafayette, IN, 47907, USA
- Department of Medicinal Chemistry and Molecular Pharmacology, Purdue University, West Lafayette, IN, 47907, USA
| | - Zhong-Yin Zhang
- Department of Chemistry, Purdue University, West Lafayette, IN, 47907, USA
- Department of Medicinal Chemistry and Molecular Pharmacology, Purdue University, West Lafayette, IN, 47907, USA
| | - Julia Laskin
- Department of Chemistry, Purdue University, West Lafayette, IN, 47907, USA
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Phetsanthad A, Vu NQ, Yu Q, Buchberger AR, Chen Z, Keller C, Li L. Recent advances in mass spectrometry analysis of neuropeptides. MASS SPECTROMETRY REVIEWS 2023; 42:706-750. [PMID: 34558119 PMCID: PMC9067165 DOI: 10.1002/mas.21734] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2021] [Revised: 08/22/2021] [Accepted: 08/28/2021] [Indexed: 05/08/2023]
Abstract
Due to their involvement in numerous biochemical pathways, neuropeptides have been the focus of many recent research studies. Unfortunately, classic analytical methods, such as western blots and enzyme-linked immunosorbent assays, are extremely limited in terms of global investigations, leading researchers to search for more advanced techniques capable of probing the entire neuropeptidome of an organism. With recent technological advances, mass spectrometry (MS) has provided methodology to gain global knowledge of a neuropeptidome on a spatial, temporal, and quantitative level. This review will cover key considerations for the analysis of neuropeptides by MS, including sample preparation strategies, instrumental advances for identification, structural characterization, and imaging; insightful functional studies; and newly developed absolute and relative quantitation strategies. While many discoveries have been made with MS, the methodology is still in its infancy. Many of the current challenges and areas that need development will also be highlighted in this review.
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Affiliation(s)
- Ashley Phetsanthad
- Department of Chemistry, University of Wisconsin-Madison, 1101 University Avenue, Madison, WI 53706, USA
| | - Nhu Q. Vu
- Department of Chemistry, University of Wisconsin-Madison, 1101 University Avenue, Madison, WI 53706, USA
| | - Qing Yu
- School of Pharmacy, University of Wisconsin-Madison, 777 Highland Avenue, Madison, WI 53705, USA
| | - Amanda R. Buchberger
- Department of Chemistry, University of Wisconsin-Madison, 1101 University Avenue, Madison, WI 53706, USA
| | - Zhengwei Chen
- Department of Chemistry, University of Wisconsin-Madison, 1101 University Avenue, Madison, WI 53706, USA
| | - Caitlin Keller
- Department of Chemistry, University of Wisconsin-Madison, 1101 University Avenue, Madison, WI 53706, USA
| | - Lingjun Li
- Department of Chemistry, University of Wisconsin-Madison, 1101 University Avenue, Madison, WI 53706, USA
- School of Pharmacy, University of Wisconsin-Madison, 777 Highland Avenue, Madison, WI 53705, USA
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Impact of Skin Tissue Collection Method on Downstream MALDI-Imaging. Metabolites 2022; 12:metabo12060497. [PMID: 35736430 PMCID: PMC9227925 DOI: 10.3390/metabo12060497] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2022] [Revised: 05/06/2022] [Accepted: 05/26/2022] [Indexed: 02/04/2023] Open
Abstract
MALDI imaging is a novel technique with which to study the pathophysiologies of diseases. Advancements in the field of metabolomics and lipidomics have been instrumental in mapping the signaling pathways involved in various diseases, such as cancer and neurodegenerative diseases (Parkinson’s). MALDI imaging is flexible and can handle many sample types. Researchers primarily use either formalin-fixed paraffin-embedded (FFPE) or fresh frozen tissue samples to answer their scientific questions. FFPE samples allow for easy long-term storage, but the requirement for extensive sample processing may limit the ability to provide a clear picture of metabolite distribution in biological tissue. Frozen samples require less handling, but present logistical challenges for collection and storage. A few studies, mostly focused on cancer cell lines, have directly compared the results of MALDI imaging using these two tissue fixation approaches. Herein, we directly compared FFPE and fresh frozen sample preparation for murine skin samples, and performed detailed pathway analysis to understand how differences in processing impact MALDI results from otherwise identical tissues. Our results indicate that FFPE and fresh frozen methods differ significantly in the putative identified metabolite content and distribution. The fixation methods shared only 2037 metabolites in positive mode and only 4079 metabolites in negative ion mode. However, both fixation approaches allowed for downstream fluorescent staining, which may save time and resources for samples that are clinically precious. This work represents a direct comparison of the impacts of the two main tissue processing methods on subsequent MALDI-MSI. While our results are similar to previous work in cancer tissue, they provide novel insights for those using MALDI-MSI in skin.
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Zhu X, Xu T, Peng C, Wu S. Advances in MALDI Mass Spectrometry Imaging Single Cell and Tissues. Front Chem 2022; 9:782432. [PMID: 35186891 PMCID: PMC8850921 DOI: 10.3389/fchem.2021.782432] [Citation(s) in RCA: 42] [Impact Index Per Article: 21.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2021] [Accepted: 11/17/2021] [Indexed: 12/26/2022] Open
Abstract
Compared with conventional optical microscopy techniques, mass spectrometry imaging (MSI) or imaging mass spectrometry (IMS) is a powerful, label-free analytical technique, which can sensitively and simultaneously detect, quantify, and map hundreds of biomolecules, such as peptides, proteins, lipid, and other organic compounds in cells and tissues. So far, although several soft ionization techniques, such as desorption electrospray ionization (DESI) and secondary ion mass spectrometry (SIMS) have been used for imaging biomolecules, matrix-assisted laser desorption/ionization (MALDI) is still the most widespread MSI scanning method. Here, we aim to provide a comprehensive review of MALDI-MSI with an emphasis on its advances of the instrumentation, methods, application, and future directions in single cell and biological tissues.
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Affiliation(s)
- Xiaoping Zhu
- Joint Research Centre for Engineering Biology, Zhejiang University-University of Edinburgh Institute, Zhejiang University, Haining, China
- Research Center of Siyuan Natural Pharmacy and Biotoxicology, College of Life Sciences, Zhejiang University, Hangzhou, China
| | - Tianyi Xu
- Joint Research Centre for Engineering Biology, Zhejiang University-University of Edinburgh Institute, Zhejiang University, Haining, China
- Research Center of Siyuan Natural Pharmacy and Biotoxicology, College of Life Sciences, Zhejiang University, Hangzhou, China
| | - Chen Peng
- Research Center of Siyuan Natural Pharmacy and Biotoxicology, College of Life Sciences, Zhejiang University, Hangzhou, China
| | - Shihua Wu
- Joint Research Centre for Engineering Biology, Zhejiang University-University of Edinburgh Institute, Zhejiang University, Haining, China
- Research Center of Siyuan Natural Pharmacy and Biotoxicology, College of Life Sciences, Zhejiang University, Hangzhou, China
- *Correspondence: Shihua Wu, ; Shihua Wu,
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Ferey J, Larroque M, Schmitz-Afonso I, Le Maître J, Sgarbura O, Carrere S, Quenet F, Bouyssiere B, Enjalbal C, Mounicou S, Afonso C. Imaging Matrix-Assisted Laser Desorption/Ionization Fourier Transform Ion Cyclotron Resonance Mass Spectrometry of oxaliplatin derivatives in human tissue sections. Talanta 2022; 237:122915. [PMID: 34736651 DOI: 10.1016/j.talanta.2021.122915] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2021] [Revised: 09/17/2021] [Accepted: 09/29/2021] [Indexed: 10/20/2022]
Abstract
Mass Spectrometry Imaging is an effective technology that allows to determine the in-situ distribution of endogen and/or exogen small molecules. It is a rapidly emerging approach for visualizing drugs and their metabolites within biological tissues. Matrix-Assisted Laser Desorption Ionization (MALDI) Mass Spectrometry Imaging (MSI) coupled to high resolving power analyzer (e.g. TOF) was already investigated for metallodrug localization and metabolization studies, but was proved to suffer from a lack of sensitivity and resolution, leading to poor coverage and assignment. To counter these technological limitations, the use of ultra-high resolving power analyzer such as Fourier Transform Ion Cyclotron Resonance (FTICR) could be revealed as a technique of choice. The high field FTICR MS provides ultra-high resolving power and mass accuracy that allows exhaustive molecule coverage and non-ambiguous molecular formula assignments. Platinum derivatives, such as oxaliplatin, are widely used as therapeutic agents for cancer treatment. The assessment of their intake, distribution and metabolism within the organs is important to know the risks associated with their use. In this study, MALDI FTICR MSI analyses were performed to better understand the penetration and metabolization of platinum derivatives in ovaries of women treated by Hyperthermic Intraperitoneal Chemotherapy (HIPEC) for peritoneal metastasis of colorectal or appendicular origin. Twelve ovary sections, from six ovary samples in six women donors, before and after treatment, were analyzed with 120 μm spatial resolution. For the first time, the high resolving power (220,000 at m/z 457) and sub-ppm accuracy (<1 ppm) of the FTICR combined with an Isotopic Fine Structure study enabled to distinguish two Pt-isobaric species derived from oxaliplatin in biological tissues. One of these, which is unknown, was specifically localized at the contour of the ovary.
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Affiliation(s)
- Justine Ferey
- Normandie Univ, COBRA, UMR 6014 and FR 3038, Université de Rouen, INSA de Rouen, CNRS, IRCOF, 1 rue Tesnières, 76821, Mont-Saint-Aignan, Cedex, France; UMR1331 Toxalim (Research Centre in Food Toxicology), Toulouse University, INRAE, ENVT, INP-Purpan, UPS, 31027, Toulouse, France; Metatoul-AXIOM Platform, National Infrastructure for Metabolomics and Fluxomics: MetaboHUB, Toxalim, INRAE, 31027, Toulouse, France
| | - Marion Larroque
- Unité de Recherche Translationnelle, Institut du Cancer de Montpellier (ICM), 208 rue des apothicaires, 34298, Montpellier, France
| | - Isabelle Schmitz-Afonso
- Normandie Univ, COBRA, UMR 6014 and FR 3038, Université de Rouen, INSA de Rouen, CNRS, IRCOF, 1 rue Tesnières, 76821, Mont-Saint-Aignan, Cedex, France.
| | - Johann Le Maître
- Normandie Univ, COBRA, UMR 6014 and FR 3038, Université de Rouen, INSA de Rouen, CNRS, IRCOF, 1 rue Tesnières, 76821, Mont-Saint-Aignan, Cedex, France
| | - Olivia Sgarbura
- Service Chirurgie, Institut du Cancer de Montpellier (ICM), 208 rue des apothicaires, 34298, Montpellier, France
| | - Sébastien Carrere
- Service Chirurgie, Institut du Cancer de Montpellier (ICM), 208 rue des apothicaires, 34298, Montpellier, France
| | - François Quenet
- Service Chirurgie, Institut du Cancer de Montpellier (ICM), 208 rue des apothicaires, 34298, Montpellier, France
| | - Brice Bouyssiere
- Universite de Pau et des Pays de l'Adour, E2S UPPA, CNRS, IPREM, Institut des Sciences Analytiques et de Physico-chimie pour l'Environnement et les Materiaux, UMR5254, Hélioparc, 64053, Pau, France
| | | | - Sandra Mounicou
- Universite de Pau et des Pays de l'Adour, E2S UPPA, CNRS, IPREM, Institut des Sciences Analytiques et de Physico-chimie pour l'Environnement et les Materiaux, UMR5254, Hélioparc, 64053, Pau, France
| | - Carlos Afonso
- Normandie Univ, COBRA, UMR 6014 and FR 3038, Université de Rouen, INSA de Rouen, CNRS, IRCOF, 1 rue Tesnières, 76821, Mont-Saint-Aignan, Cedex, France
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Ajith A, Sthanikam Y, Banerjee S. Chemical analysis of the human brain by imaging mass spectrometry. Analyst 2021; 146:5451-5473. [PMID: 34515699 DOI: 10.1039/d1an01109j] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Abstract
Analysis of the chemical makeup of the brain enables a deeper understanding of several neurological processes. Molecular imaging that deciphers the spatial distribution of neurochemicals with high specificity and sensitivity is an exciting avenue in this aspect. The past two decades have witnessed a significant surge of mass spectrometry imaging (MSI) that can simultaneously map the distribution of hundreds to thousands of biomolecules in the tissue specimen at a fairly high resolution, which is otherwise beyond the scope of other molecular imaging techniques. In this review, we have documented the evolution of MSI technologies in imaging the anatomical distribution of neurochemicals in the human brain in the context of several neuro diseases. This review also addresses the potential of MSI to be a next-generation molecular imaging technique with its promising applications in neuropathology.
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Affiliation(s)
- Akhila Ajith
- Department of Chemistry, Indian Institute of Science Education and Research Tirupati, Tirupati 517507, India.
| | - Yeswanth Sthanikam
- Department of Chemistry, Indian Institute of Science Education and Research Tirupati, Tirupati 517507, India.
| | - Shibdas Banerjee
- Department of Chemistry, Indian Institute of Science Education and Research Tirupati, Tirupati 517507, India.
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Zhang J, Sans M, Garza KY, Eberlin LS. MASS SPECTROMETRY TECHNOLOGIES TO ADVANCE CARE FOR CANCER PATIENTS IN CLINICAL AND INTRAOPERATIVE USE. MASS SPECTROMETRY REVIEWS 2021; 40:692-720. [PMID: 33094861 DOI: 10.1002/mas.21664] [Citation(s) in RCA: 23] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/06/2019] [Revised: 09/09/2020] [Accepted: 09/09/2020] [Indexed: 06/11/2023]
Abstract
Developments in mass spectrometry technologies have driven a widespread interest and expanded their use in cancer-related research and clinical applications. In this review, we highlight the developments in mass spectrometry methods and instrumentation applied to direct tissue analysis that have been tailored at enhancing performance in clinical research as well as facilitating translation and implementation of mass spectrometry in clinical settings, with a focus on cancer-related studies. Notable studies demonstrating the capabilities of direct mass spectrometry analysis in biomarker discovery, cancer diagnosis and prognosis, tissue analysis during oncologic surgeries, and other clinically relevant problems that have the potential to substantially advance cancer patient care are discussed. Key challenges that need to be addressed before routine clinical implementation including regulatory efforts are also discussed. Overall, the studies highlighted in this review demonstrate the transformative potential of mass spectrometry technologies to advance clinical research and care for cancer patients. © 2020 Wiley Periodicals, Inc. Mass Spec Rev.
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Affiliation(s)
- Jialing Zhang
- Department of Chemistry, University of Texas at Austin, Austin, TX
| | - Marta Sans
- Department of Chemistry, University of Texas at Austin, Austin, TX
| | - Kyana Y Garza
- Department of Chemistry, University of Texas at Austin, Austin, TX
| | - Livia S Eberlin
- Department of Chemistry, University of Texas at Austin, Austin, TX
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Li H, Uittenbogaard M, Hao L, Chiaramello A. Clinical Insights into Mitochondrial Neurodevelopmental and Neurodegenerative Disorders: Their Biosignatures from Mass Spectrometry-Based Metabolomics. Metabolites 2021; 11:233. [PMID: 33920115 PMCID: PMC8070181 DOI: 10.3390/metabo11040233] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2021] [Revised: 04/01/2021] [Accepted: 04/07/2021] [Indexed: 02/07/2023] Open
Abstract
Mitochondria are dynamic multitask organelles that function as hubs for many metabolic pathways. They produce most ATP via the oxidative phosphorylation pathway, a critical pathway that the brain relies on its energy need associated with its numerous functions, such as synaptic homeostasis and plasticity. Therefore, mitochondrial dysfunction is a prevalent pathological hallmark of many neurodevelopmental and neurodegenerative disorders resulting in altered neurometabolic coupling. With the advent of mass spectrometry (MS) technology, MS-based metabolomics provides an emerging mechanistic understanding of their global and dynamic metabolic signatures. In this review, we discuss the pathogenetic causes of mitochondrial metabolic disorders and the recent MS-based metabolomic advances on their metabolomic remodeling. We conclude by exploring the MS-based metabolomic functional insights into their biosignatures to improve diagnostic platforms, stratify patients, and design novel targeted therapeutic strategies.
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Affiliation(s)
- Haorong Li
- Department of Chemistry, George Washington University, Science and Engineering Hall 4000, 800 22nd St., NW, Washington, DC 20052, USA;
| | - Martine Uittenbogaard
- Department of Anatomy and Cell Biology, School of Medicine and Health Sciences, George Washington University, 2300 I Street N.W. Ross Hall 111, Washington, DC 20037, USA;
| | - Ling Hao
- Department of Chemistry, George Washington University, Science and Engineering Hall 4000, 800 22nd St., NW, Washington, DC 20052, USA;
| | - Anne Chiaramello
- Department of Anatomy and Cell Biology, School of Medicine and Health Sciences, George Washington University, 2300 I Street N.W. Ross Hall 111, Washington, DC 20037, USA;
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Gomez-Gomez A, Sabbaghi M, Haro N, Albanell J, Menéndez S, González M, Gil-Gómez G, Rovira A, Pozo OJ. Targeted metabolomics in formalin-fixed paraffin-embedded tissue specimens: Liquid chromatography-tandem mass spectrometry determination of acidic metabolites in cancer research. Talanta 2020; 223:121740. [PMID: 33298266 DOI: 10.1016/j.talanta.2020.121740] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Revised: 10/02/2020] [Accepted: 10/05/2020] [Indexed: 11/18/2022]
Abstract
Formalin-fixed paraffin-embedded (FFPE) tissues play an irreplaceable role in cancer research. Although extensive research has been conducted for the detection of DNA, RNA and proteins in FFPE samples, literature dealing with the FFPE determination of small molecules is scarce. In this study, we aimed to explore the potential of targeted metabolomics in FFPE specimens. For that purpose, we developed a LC-MS/MS method for the quantification of acidic metabolites in FFPE samples. The method involves trimming tissue slices from FFPE blocks, deparaffinization, lysis of the tissue, o-benzyl hydroxylamine derivatization and LC-MS/MS detection. Deparaffinization and lysis steps were optimized to maximize the analytes extraction and to minimize the effect of the ubiquitous presence of some metabolites in the paraffin. Two validation approaches were applied: (i) using blank paraffin as matrix and (ii) using actual human FFPE tissue samples by standard additions. The method quantified 40 metabolites with appropriate accuracy (commonly 80-120%) and precision (CV 2-19%) in both validation approaches. LLOQs ranging 0.88-2001 pg mg-1 with low-moderate matrix effects (commonly 85-115%) were obtained. FFPE samples from 15 patients with colorectal cancer were analyzed and metabolites concentrations in tumor vs matched normal FFPE tissues were compared. Results show that tumor tissues have a well-established fingerprint including an increase in ketogenesis, a decrease in lipogenesis and an imbalance in the tricarboxylic acid cycle.
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Affiliation(s)
- Alex Gomez-Gomez
- Integrative Pharmacology & Systems Neuroscience Group, IMIM (Hospital del Mar Medical Research Institute), Carrer Doctor Aiguader 88, 08003, Barcelona, Spain; Universitat Pompeu Fabra (CEXS-UPF), Carrer Doctor Aiguader 88, 08003, Barcelona, Spain
| | - MohammadA Sabbaghi
- Cancer Research Program, IMIM (Hospital del Mar Medical Research Institute), Carrer Doctor Aiguader 88, 08003, Barcelona, Spain
| | - Noemí Haro
- Integrative Pharmacology & Systems Neuroscience Group, IMIM (Hospital del Mar Medical Research Institute), Carrer Doctor Aiguader 88, 08003, Barcelona, Spain
| | - Joan Albanell
- Universitat Pompeu Fabra (CEXS-UPF), Carrer Doctor Aiguader 88, 08003, Barcelona, Spain; Cancer Research Program, IMIM (Hospital del Mar Medical Research Institute), Carrer Doctor Aiguader 88, 08003, Barcelona, Spain; Medical Oncology Department, Hospital del Mar, Passeig Marítim de la Barcelona, 25-29, 08003, Barcelona, Spain; CIBERONC, Hospital del Mar, Passeig Marítim de la Barcelona, 25-29, 08003, Barcelona, Spain
| | - Silvia Menéndez
- Cancer Research Program, IMIM (Hospital del Mar Medical Research Institute), Carrer Doctor Aiguader 88, 08003, Barcelona, Spain
| | - Mónica González
- Department of Pathology, Hospital del Mar, Passeig Marítim de la Barcelona, 25-29, 08003, Barcelona, Spain
| | - Gabriel Gil-Gómez
- Gastroesophageal Carcinogenesis Group, IMIM (Hospital del Mar Medical Research Institute), Carrer Doctor Aiguader 88, 08003, Barcelona, Spain
| | - Ana Rovira
- Cancer Research Program, IMIM (Hospital del Mar Medical Research Institute), Carrer Doctor Aiguader 88, 08003, Barcelona, Spain; Medical Oncology Department, Hospital del Mar, Passeig Marítim de la Barcelona, 25-29, 08003, Barcelona, Spain; CIBERONC, Hospital del Mar, Passeig Marítim de la Barcelona, 25-29, 08003, Barcelona, Spain
| | - Oscar J Pozo
- Integrative Pharmacology & Systems Neuroscience Group, IMIM (Hospital del Mar Medical Research Institute), Carrer Doctor Aiguader 88, 08003, Barcelona, Spain.
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Blutke A, Sun N, Xu Z, Buck A, Harrison L, Schriever SC, Pfluger PT, Wiles D, Kunzke T, Huber K, Schlegel J, Aichler M, Feuchtinger A, Matiasek K, Hauck SM, Walch A. Light sheet fluorescence microscopy guided MALDI-imaging mass spectrometry of cleared tissue samples. Sci Rep 2020; 10:14461. [PMID: 32879402 PMCID: PMC7468256 DOI: 10.1038/s41598-020-71465-1] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/25/2019] [Accepted: 08/10/2020] [Indexed: 02/08/2023] Open
Abstract
Light sheet fluorescence microscopy (LSFM) of optically cleared biological samples represents a powerful tool to analyze the 3-dimensional morphology of tissues and organs. Multimodal combinations of LSFM with additional analyses of the identical sample help to limit the consumption of restricted specimen and reduce inter-sample variation. Here, we demonstrate the proof-of-concept that LSFM of cleared brain tissue samples can be combined with Matrix Assisted Laser Desorption/Ionization-Mass Spectrometry Imaging (MALDI-MSI) for detection and quantification of proteins. Samples of freshly dissected murine brain and of archived formalin-fixed paraffin-embedded (FFPE) human brain tissue were cleared (3DISCO). Tissue regions of interest were defined by LSFM and excised, (re)-embedded in paraffin, and sectioned. Mouse sections were coated with sinapinic acid matrix. Human brain sections were pre-digested with trypsin and coated with α-cyano-4-hydroxycinnamic acid matrix. Subsequently, sections were subjected to MALDI-time-of-flight (TOF)-MSI in mass ranges between 0.8 to 4 kDa (human tissue sections), or 2.5–25 kDa (mouse tissue sections) with a lateral resolution of 50 µm. Protein- and peptide-identities corresponding to acquired MALDI-MSI spectra were confirmed by parallel liquid chromatography tandem mass spectrometry (LC–MS/MS) analysis. The spatial abundance- and intensity-patterns of established marker proteins detected by MALDI-MSI were also confirmed by immunohistochemistry.
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Affiliation(s)
- Andreas Blutke
- Research Unit Analytical Pathology, Helmholtz Zentrum München, 8576, Neuherberg, Germany
| | - Na Sun
- Research Unit Analytical Pathology, Helmholtz Zentrum München, 8576, Neuherberg, Germany
| | - Zhihao Xu
- Research Unit Analytical Pathology, Helmholtz Zentrum München, 8576, Neuherberg, Germany
| | - Achim Buck
- Research Unit Analytical Pathology, Helmholtz Zentrum München, 8576, Neuherberg, Germany
| | - Luke Harrison
- Research Unit Neurobiology of Diabetes, Helmholtz Zentrum München, 85764, Neuherberg, Germany.,Institute for Diabetes and Obesity, Helmholtz Zentrum München, 85764, Neuherberg, Germany.,German Center for Diabetes Research (DZD), 85764, Neuherberg, Germany.,Division of Metabolic Diseases, Technische Universität München, 80333, Munich, Germany
| | - Sonja C Schriever
- Research Unit Neurobiology of Diabetes, Helmholtz Zentrum München, 85764, Neuherberg, Germany.,Institute for Diabetes and Obesity, Helmholtz Zentrum München, 85764, Neuherberg, Germany.,German Center for Diabetes Research (DZD), 85764, Neuherberg, Germany
| | - Paul T Pfluger
- Research Unit Neurobiology of Diabetes, Helmholtz Zentrum München, 85764, Neuherberg, Germany.,Institute for Diabetes and Obesity, Helmholtz Zentrum München, 85764, Neuherberg, Germany.,German Center for Diabetes Research (DZD), 85764, Neuherberg, Germany
| | | | - Thomas Kunzke
- Research Unit Analytical Pathology, Helmholtz Zentrum München, 8576, Neuherberg, Germany
| | - Katharina Huber
- Research Unit Analytical Pathology, Helmholtz Zentrum München, 8576, Neuherberg, Germany
| | - Jürgen Schlegel
- Institute for Pathology, Department of Neuropathology, Technische Universität München, 80333, Munich, Germany
| | - Michaela Aichler
- Research Unit Analytical Pathology, Helmholtz Zentrum München, 8576, Neuherberg, Germany
| | - Annette Feuchtinger
- Research Unit Analytical Pathology, Helmholtz Zentrum München, 8576, Neuherberg, Germany.
| | - Kaspar Matiasek
- Institute for Veterinary Pathology at the Centre for Clinical Veterinary Medicine, Ludwig-Maximilians-Universität München, 80539, Munich, Germany
| | - Stefanie M Hauck
- Research Unit for Protein Science, Helmholtz Zentrum München, 85764, Neuherberg, Germany
| | - Axel Walch
- Research Unit Analytical Pathology, Helmholtz Zentrum München, 8576, Neuherberg, Germany
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12
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Denti V, Piga I, Guarnerio S, Clerici F, Ivanova M, Chinello C, Paglia G, Magni F, Smith A. Antigen Retrieval and Its Effect on the MALDI-MSI of Lipids in Formalin-Fixed Paraffin-Embedded Tissue. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2020; 31:1619-1624. [PMID: 32678590 PMCID: PMC8009503 DOI: 10.1021/jasms.0c00208] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Formalin-fixed paraffin-embedded (FFPE) tissue represents the primary source of clinical tissue and is routinely used in MALDI-MSI studies. However, it is not particularly suitable for lipidomics imaging given that many species are depleted during tissue processing. Irrespective, a number of solvent-resistant lipids remain, but their extraction may be hindered by the cross-link between proteins. Therefore, an antigen retrieval step could enable the extraction of a greater number of lipids and may provide information that is complementary to that which can be obtained from other biomolecules, such as proteins. In this short communication, we aim to address the effect of performing antigen retrieval prior to MALDI-MSI of lipids in FFPE tissue. As a result, an increased number of lipid signals could be detected and may have derived from lipid species that are known to be implicated in the lipid-protein cross-linking that is formed as a result of formalin fixation. Human renal cancer tissue was used as a proof of concept to determine whether using these detected lipid signals were also able to highlight the histopathological regions that were present. These preliminary findings may highlight the potential to enhance the clinical relevance of the lipidomic information obtained from FFPE tissue.
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Affiliation(s)
- Vanna Denti
- Clinical
Proteomics and Metabolomics Unit, Department of Medicine and Surgery, University of Milano-Bicocca, Vedano al Lambro 20854, Italy
| | - Isabella Piga
- Clinical
Proteomics and Metabolomics Unit, Department of Medicine and Surgery, University of Milano-Bicocca, Vedano al Lambro 20854, Italy
| | - Sonia Guarnerio
- Biomolecular
Sciences Research Centre, Sheffield-Hallam
University, City Campus, Howard Street, Sheffield S1 1WB, United Kingdom
| | - Francesca Clerici
- Clinical
Proteomics and Metabolomics Unit, Department of Medicine and Surgery, University of Milano-Bicocca, Vedano al Lambro 20854, Italy
| | - Mariia Ivanova
- Clinical
Proteomics and Metabolomics Unit, Department of Medicine and Surgery, University of Milano-Bicocca, Vedano al Lambro 20854, Italy
| | - Clizia Chinello
- Clinical
Proteomics and Metabolomics Unit, Department of Medicine and Surgery, University of Milano-Bicocca, Vedano al Lambro 20854, Italy
| | - Giuseppe Paglia
- Clinical
Proteomics and Metabolomics Unit, Department of Medicine and Surgery, University of Milano-Bicocca, Vedano al Lambro 20854, Italy
| | - Fulvio Magni
- Clinical
Proteomics and Metabolomics Unit, Department of Medicine and Surgery, University of Milano-Bicocca, Vedano al Lambro 20854, Italy
| | - Andrew Smith
- Clinical
Proteomics and Metabolomics Unit, Department of Medicine and Surgery, University of Milano-Bicocca, Vedano al Lambro 20854, Italy
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13
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Piehowski PD, Zhu Y, Bramer LM, Stratton KG, Zhao R, Orton DJ, Moore RJ, Yuan J, Mitchell HD, Gao Y, Webb-Robertson BJM, Dey SK, Kelly RT, Burnum-Johnson KE. Automated mass spectrometry imaging of over 2000 proteins from tissue sections at 100-μm spatial resolution. Nat Commun 2020; 11:8. [PMID: 31911630 PMCID: PMC6946663 DOI: 10.1038/s41467-019-13858-z] [Citation(s) in RCA: 141] [Impact Index Per Article: 35.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2018] [Accepted: 11/20/2019] [Indexed: 12/19/2022] Open
Abstract
Biological tissues exhibit complex spatial heterogeneity that directs the functions of multicellular organisms. Quantifying protein expression is essential for elucidating processes within complex biological assemblies. Imaging mass spectrometry (IMS) is a powerful emerging tool for mapping the spatial distribution of metabolites and lipids across tissue surfaces, but technical challenges have limited the application of IMS to the analysis of proteomes. Methods for probing the spatial distribution of the proteome have generally relied on the use of labels and/or antibodies, which limits multiplexing and requires a priori knowledge of protein targets. Past efforts to make spatially resolved proteome measurements across tissues have had limited spatial resolution and proteome coverage and have relied on manual workflows. Here, we demonstrate an automated approach to imaging that utilizes label-free nanoproteomics to analyze tissue voxels, generating quantitative cell-type-specific images for >2000 proteins with 100-µm spatial resolution across mouse uterine tissue sections preparing for blastocyst implantation. Imaging mass spectrometry is a powerful emerging tool for mapping the spatial distribution of biomolecules across tissue surfaces. Here the authors showcase an automated technology for deep proteome imaging that utilizes ultrasensitive microfluidics and a mass spectrometry workflow to analyze tissue voxels, generating quantitative cell-type-specific images.
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Affiliation(s)
- Paul D Piehowski
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Ying Zhu
- The Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Lisa M Bramer
- National Security Directorate, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Kelly G Stratton
- National Security Directorate, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Rui Zhao
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Daniel J Orton
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Ronald J Moore
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Jia Yuan
- Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Hugh D Mitchell
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Yuqian Gao
- Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | | | - Sudhansu K Dey
- Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Ryan T Kelly
- The Environmental Molecular Sciences Laboratory, Pacific Northwest National Laboratory, Richland, WA, USA. .,Department of Chemistry and Biochemistry, Brigham Young University, Provo, UT, USA.
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14
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Kaya I, Jennische E, Dunevall J, Lange S, Ewing AG, Malmberg P, Baykal AT, Fletcher JS. Spatial Lipidomics Reveals Region and Long Chain Base Specific Accumulations of Monosialogangliosides in Amyloid Plaques in Familial Alzheimer's Disease Mice (5xFAD) Brain. ACS Chem Neurosci 2020; 11:14-24. [PMID: 31774647 DOI: 10.1021/acschemneuro.9b00532] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
Abstract
Ganglioside metabolism is significantly altered in Alzheimer's disease (AD), which is a progressive neurodegenerative disease prominently characterized by one of its pathological hallmarks, amyloid deposits or "senile plaques". While the plaques mainly consist of aggregated variants of amyloid-β protein (Aβ), recent studies have revealed a number of lipid species including gangliosides in amyloid plaques along with Aβ peptides. It has been widely suggested that long chain (sphingosine) base (LCBs), C18:1-LCB and C20:1-LCB, containing gangliosides might play different roles in neuronal function in vivo. In order to elucidate region-specific aspects of amyloid-plaque associated C18:1-LCB and C20:1-LCB ganglioside accumulations, high spatial resolution (10 μm per pixel) matrix assisted laser desorption ionization imaging mass spectrometry (MALDI-IMS) of gangliosides in amyloid plaques was performed in hippocampal and adjacent cortical regions of 12 month old 5xFAD mouse coronal brain sections from two different stereotaxic coordinates (bregma points, -2.2 and -2.7 mm). MALDI-IMS uncovered brain-region (2 and 3D) and/or LCB specific accumulations of monosialogangliosides (GMs): GM1, GM2, and GM3 in the hippocampal and cortical amyloid plaques. The results reveal monosialogangliosides to be an important component of amyloid plaques and the accumulation of different gangliosides is region and LCB specific in 12 month old 5xFAD mouse brain. This is discussed in relation to amyloid-associated AD pathogenesis such as lipid related immune changes in amyloid plaques, AD specific ganglioside metabolism, and, notably, AD-associated impaired neurogenesis in the subgranular zone.
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Affiliation(s)
- Ibrahim Kaya
- Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal 43180, Sweden
- Department of Chemistry and Molecular Biology, University of Gothenburg, Gothenburg 405 30, Sweden
- The Gothenburg Imaging Mass Spectrometry (Go:IMS) Platform, University of Gothenburg and Chalmers University of Technology, Gothenburg, Sweden
| | - Eva Jennische
- Institute of Biomedicine, University of Gothenburg, Gothenburg 405 30, Sweden
| | - Johan Dunevall
- Department of Chemistry and Chemical Engineering, Chalmers University of Technology, Gothenburg 412 96, Sweden
| | - Stefan Lange
- Institute of Biomedicine, University of Gothenburg, Gothenburg 405 30, Sweden
| | - Andrew G. Ewing
- Department of Chemistry and Molecular Biology, University of Gothenburg, Gothenburg 405 30, Sweden
- The Gothenburg Imaging Mass Spectrometry (Go:IMS) Platform, University of Gothenburg and Chalmers University of Technology, Gothenburg, Sweden
| | - Per Malmberg
- Department of Chemistry and Chemical Engineering, Chalmers University of Technology, Gothenburg 412 96, Sweden
| | - Ahmet Tarik Baykal
- Department of Medical Biochemistry, Faculty of Medicine, Acibadem Mehmet Ali Aydinlar University, Istanbul 34752, Turkey
| | - John S. Fletcher
- Department of Chemistry and Molecular Biology, University of Gothenburg, Gothenburg 405 30, Sweden
- The Gothenburg Imaging Mass Spectrometry (Go:IMS) Platform, University of Gothenburg and Chalmers University of Technology, Gothenburg, Sweden
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15
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Chen K, Baluya D, Tosun M, Li F, Maletic-Savatic M. Imaging Mass Spectrometry: A New Tool to Assess Molecular Underpinnings of Neurodegeneration. Metabolites 2019; 9:E135. [PMID: 31295847 PMCID: PMC6681116 DOI: 10.3390/metabo9070135] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2019] [Revised: 06/19/2019] [Accepted: 06/26/2019] [Indexed: 02/06/2023] Open
Abstract
Neurodegenerative diseases are prevalent and devastating. While extensive research has been done over the past decades, we are still far from comprehensively understanding what causes neurodegeneration and how we can prevent it or reverse it. Recently, systems biology approaches have led to a holistic examination of the interactions between genome, metabolome, and the environment, in order to shed new light on neurodegenerative pathogenesis. One of the new technologies that has emerged to facilitate such studies is imaging mass spectrometry (IMS). With its ability to map a wide range of small molecules with high spatial resolution, coupled with the ability to quantify them at once, without the need for a priori labeling, IMS has taken center stage in current research efforts in elucidating the role of the metabolome in driving neurodegeneration. IMS has already proven to be effective in investigating the lipidome and the proteome of various neurodegenerative diseases, such as Alzheimer's, Parkinson's, Huntington's, multiple sclerosis, and amyotrophic lateral sclerosis. Here, we review the IMS platform for capturing biological snapshots of the metabolic state to shed more light on the molecular mechanisms of the diseased brain.
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Affiliation(s)
- Kevin Chen
- Department of Biosciences, Rice University, Houston, TX 77030, USA
- Department of Pediatrics, Baylor College of Medicine, Houston, TX 77030, USA
- Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, TX 77030, USA
| | - Dodge Baluya
- Chemical Imaging Research Core at MD Anderson Cancer Center, University of Texas, Houston, TX 77030, USA
| | - Mehmet Tosun
- Department of Pediatrics, Baylor College of Medicine, Houston, TX 77030, USA
- Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, TX 77030, USA
| | - Feng Li
- Center for Drug Discovery and Department of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX 77030, USA
| | - Mirjana Maletic-Savatic
- Department of Pediatrics, Baylor College of Medicine, Houston, TX 77030, USA.
- Jan and Dan Duncan Neurological Research Institute at Texas Children's Hospital, Houston, TX 77030, USA.
- Department of Neuroscience and Program in Developmental Biology, Baylor College of Medicine, Houston, TX 77030, USA.
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16
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Ryan DJ, Patterson NH, Putnam NE, Wilde AD, Weiss A, Perry WJ, Cassat JE, Skaar EP, Caprioli RM, Spraggins JM. MicroLESA: Integrating Autofluorescence Microscopy, In Situ Micro-Digestions, and Liquid Extraction Surface Analysis for High Spatial Resolution Targeted Proteomic Studies. Anal Chem 2019; 91:7578-7585. [PMID: 31149808 PMCID: PMC6652190 DOI: 10.1021/acs.analchem.8b05889] [Citation(s) in RCA: 41] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
The ability to target discrete features within tissue using liquid surface extractions enables the identification of proteins while maintaining the spatial integrity of the sample. Here, we present a liquid extraction surface analysis (LESA) workflow, termed microLESA, that allows proteomic profiling from discrete tissue features of ∼110 μm in diameter by integrating nondestructive autofluorescence microscopy and spatially targeted liquid droplet micro-digestion. Autofluorescence microscopy provides the visualization of tissue foci without the need for chemical stains or the use of serial tissue sections. Tryptic peptides are generated from tissue foci by applying small volume droplets (∼250 pL) of enzyme onto the surface prior to LESA. The microLESA workflow reduced the diameter of the sampled area almost 5-fold compared to previous LESA approaches. Experimental parameters, such as tissue thickness, trypsin concentration, and enzyme incubation duration, were tested to maximize proteomics analysis. The microLESA workflow was applied to the study of fluorescently labeled Staphylococcus aureus infected murine kidney to identify unique proteins related to host defense and bacterial pathogenesis. Proteins related to nutritional immunity and host immune response were identified by performing microLESA at the infectious foci and surrounding abscess. These identifications were then used to annotate specific proteins observed in infected kidney tissue by MALDI FT-ICR IMS through accurate mass matching.
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Affiliation(s)
- Daniel J. Ryan
- Department of Chemistry, Vanderbilt University, 7330 Stevenson Center, Station B 351822, Nashville, Tennessee 37235, United States
- Mass Spectrometry Research Center, Vanderbilt University, 465 21st Avenue South #9160, Nashville, Tennessee 37235, United States
| | - Nathan Heath Patterson
- Mass Spectrometry Research Center, Vanderbilt University, 465 21st Avenue South #9160, Nashville, Tennessee 37235, United States
- Department of Biochemistry, Vanderbilt University, 607 Light Hall, Nashville, Tennessee 37205, United States
| | - Nicole E. Putnam
- Department of Pathology, Microbiology and Immunology, Vanderbilt University School of Medicine, Nashville, Tennessee 37232, United States
| | - Aimee D. Wilde
- Department of Pathology, Microbiology and Immunology, Vanderbilt University School of Medicine, Nashville, Tennessee 37232, United States
| | - Andy Weiss
- Department of Pathology, Microbiology and Immunology, Vanderbilt University School of Medicine, Nashville, Tennessee 37232, United States
- Vanderbilt Institute for Infection, Immunology, and Inflammation, Vanderbilt University Medical Center, Nashville, Tennessee 37232, United States
| | - William J. Perry
- Department of Chemistry, Vanderbilt University, 7330 Stevenson Center, Station B 351822, Nashville, Tennessee 37235, United States
- Mass Spectrometry Research Center, Vanderbilt University, 465 21st Avenue South #9160, Nashville, Tennessee 37235, United States
| | - James E. Cassat
- Department of Pathology, Microbiology and Immunology, Vanderbilt University School of Medicine, Nashville, Tennessee 37232, United States
- Department of Pediatrics, Division of Pediatric Infectious Diseases, Vanderbilt University Medical Center, Nashville, Tennessee 37232, United States
- Vanderbilt Center for Bone Biology, Vanderbilt University Medical Center, Nashville, Tennessee 37232, United States
- Vanderbilt Institute for Infection, Immunology, and Inflammation, Vanderbilt University Medical Center, Nashville, Tennessee 37232, United States
| | - Eric P. Skaar
- Department of Pathology, Microbiology and Immunology, Vanderbilt University School of Medicine, Nashville, Tennessee 37232, United States
- Vanderbilt Institute for Infection, Immunology, and Inflammation, Vanderbilt University Medical Center, Nashville, Tennessee 37232, United States
- United States (U.S.) Department of Veterans Affairs, Tennessee Valley Healthcare System, Nashville, Tennessee 37212, United States
| | - Richard M. Caprioli
- Department of Chemistry, Vanderbilt University, 7330 Stevenson Center, Station B 351822, Nashville, Tennessee 37235, United States
- Mass Spectrometry Research Center, Vanderbilt University, 465 21st Avenue South #9160, Nashville, Tennessee 37235, United States
- Department of Biochemistry, Vanderbilt University, 607 Light Hall, Nashville, Tennessee 37205, United States
- Department of Pharmacology, Vanderbilt University, 442 Robinson Research Building, 2220 Pierce Avenue, Nashville, Tennessee 37232, United States
- Department of Medicine, Vanderbilt University, 465 21st Ave South #9160, Nashville, Tennessee 37235, United States
| | - Jeffrey M. Spraggins
- Department of Chemistry, Vanderbilt University, 7330 Stevenson Center, Station B 351822, Nashville, Tennessee 37235, United States
- Mass Spectrometry Research Center, Vanderbilt University, 465 21st Avenue South #9160, Nashville, Tennessee 37235, United States
- Department of Biochemistry, Vanderbilt University, 607 Light Hall, Nashville, Tennessee 37205, United States
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17
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Hanrieder J, Zetterberg H, Blennow K. MALDI Imaging Mass Spectrometry: Neurochemical Imaging of Proteins and Peptides. NEUROMETHODS 2019. [DOI: 10.1007/978-1-4939-9662-9_15] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
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18
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Michno W, Wehrli PM, Blennow K, Zetterberg H, Hanrieder J. Molecular imaging mass spectrometry for probing protein dynamics in neurodegenerative disease pathology. J Neurochem 2018; 151:488-506. [PMID: 30040875 DOI: 10.1111/jnc.14559] [Citation(s) in RCA: 32] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2018] [Revised: 07/03/2018] [Accepted: 07/12/2018] [Indexed: 12/14/2022]
Abstract
Recent advances in the understanding of basic pathological mechanisms in various neurological diseases depend directly on the development of novel bioanalytical technologies that allow sensitive and specific chemical imaging at high resolution in cells and tissues. Mass spectrometry-based molecular imaging (IMS) has gained increasing popularity in biomedical research for mapping the spatial distribution of molecular species in situ. The technology allows for comprehensive, untargeted delineation of in situ distribution profiles of metabolites, lipids, peptides and proteins. A major advantage of IMS over conventional histochemical techniques is its superior molecular specificity. Imaging mass spectrometry has therefore great potential for probing molecular regulations in CNS-derived tissues and cells for understanding neurodegenerative disease mechanism. The goal of this review is to familiarize the reader with the experimental workflow, instrumental developments and methodological challenges as well as to give a concise overview of the major advances and recent developments and applications of IMS-based protein and peptide profiling with particular focus on neurodegenerative diseases. This article is part of the Special Issue "Proteomics".
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Affiliation(s)
- Wojciech Michno
- Department of Psychiatry and Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Patrick M Wehrli
- Department of Psychiatry and Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden
| | - Kaj Blennow
- Department of Psychiatry and Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden
| | - Henrik Zetterberg
- Department of Psychiatry and Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Clinical Neurochemistry Laboratory, Sahlgrenska University Hospital, Mölndal, Sweden.,Department of Neurodegenerative Disease, UCL Institute of Neurology, University College London, London, UK.,UK Dementia Research Institute at UCL, London, UK
| | - Jörg Hanrieder
- Department of Psychiatry and Neurochemistry, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.,Department of Neurodegenerative Disease, UCL Institute of Neurology, University College London, London, UK.,Department of Chemistry and Chemical Engineering, Chalmers University of Technology, Gothenburg, Sweden
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19
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Paine ML, Ellis SR, Maloney D, Heeren RMA, Verhaert PDEM. Digestion-Free Analysis of Peptides from 30-year-old Formalin-Fixed, Paraffin-Embedded Tissue by Mass Spectrometry Imaging. Anal Chem 2018; 90:9272-9280. [PMID: 29975508 PMCID: PMC6150647 DOI: 10.1021/acs.analchem.8b01838] [Citation(s) in RCA: 27] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2018] [Accepted: 07/05/2018] [Indexed: 02/06/2023]
Abstract
Formalin-fixed neuroendocrine tissues from American cockroaches ( Periplaneta americana) embedded in paraffin more than 30 years ago were recently analyzed by matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI), to reveal the histological localization of more than 20 peptide ions. These represented protonated, and other cationic species of, at least, 14 known neuropeptides. The characterization of peptides in such historical samples was made possible by a novel sample preparation protocol rendering the endogenous peptides readily amenable to MSI analysis. The protocol comprises brief deparaffinization steps involving xylene and ethanol, and is further devoid of conventional aqueous washing, buffer incubations, or antigen retrieval steps. Endogenous secretory peptides that are typically highly soluble are therefore retained in-tissue with this protocol. The method is fully "top-down", that is, without laborious in situ enzymatic digestion that typically disturbs the detection of low-abundance endogenous peptides by MSI. Peptide identifications were supported by accurate mass, on-tissue tandem MS analyses, and by earlier MALDI-MSI results reported for freshly prepared P. americana samples. In contrast to earlier literature accounts stating that MALDI-MSI detection of endogenous peptides is possible only in fresh or freshly frozen tissues, or exceptionally, in formalin-fixed, paraffin-embedded (FFPE) material of less than 1 year old, we demonstrate that MALDI-MSI works for endogenous peptides in FFPE tissue of up to 30 years old. Our findings put forward a useful method for digestion-free, high-throughput analysis of endogenous peptides from FFPE samples and offer the potential for reinvestigating archived and historically interesting FFPE material, such as those stored in hospital biobanks.
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Affiliation(s)
- Martin
R. L. Paine
- Maastricht
MultiModal Molecular Imaging (M4I) Institute, Division of Imaging
Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229ER Maastricht, The Netherlands
| | - Shane R. Ellis
- Maastricht
MultiModal Molecular Imaging (M4I) Institute, Division of Imaging
Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229ER Maastricht, The Netherlands
| | - Dan Maloney
- Bioinformatics
Solutions Inc., 470 Weber Street North, Waterloo, Ontario N2L 6J2, Canada
| | - Ron M. A. Heeren
- Maastricht
MultiModal Molecular Imaging (M4I) Institute, Division of Imaging
Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229ER Maastricht, The Netherlands
| | - Peter D. E. M. Verhaert
- Maastricht
MultiModal Molecular Imaging (M4I) Institute, Division of Imaging
Mass Spectrometry, Maastricht University, Universiteitssingel 50, 6229ER Maastricht, The Netherlands
- ProteoFormiX,
Janssen Pharmaceutica Campus, Turnhoutseweg
30, B2340 Beerse, Belgium
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20
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Huber K, Khamehgir-Silz P, Schramm T, Gorshkov V, Spengler B, Römpp A. Approaching cellular resolution and reliable identification in mass spectrometry imaging of tryptic peptides. Anal Bioanal Chem 2018; 410:5825-5837. [PMID: 30066193 PMCID: PMC6096711 DOI: 10.1007/s00216-018-1199-z] [Citation(s) in RCA: 20] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2017] [Revised: 05/24/2018] [Accepted: 06/13/2018] [Indexed: 01/19/2023]
Abstract
On-tissue digestion has become the preferred method to identify proteins in mass spectrometry (MS) imaging. In this study, we report advances in data acquisition and protein identification for MS imaging after on-tissue digestion. Tryptic peptides in a coronal mouse brain section were measured at 50 μm pixel size and revealed detailed histological structures, e.g., the ependyma (consisting of one to two cell layers), which was confirmed by H&E staining. This demonstrates that MS imaging of tryptic peptides at or close to cellular resolution is within reach. We also describe a detailed identification workflow which resulted in the identification of 99 proteins (with 435 corresponding peptides), based on comparison with LC-MS/MS data and in silico digest. These results were obtained with stringent parameters, including high mass accuracy in imaging mode (RSME < 3 ppm) and at least two unique peptides per protein showing consistent spatial distribution. We identified almost 50% of proteins with at least four corresponding peptides. As there is no agreed approach for identification of proteins after on-tissue digestion yet, we discuss our workflow in detail and make the corresponding mass spectral data available as “open data” via ProteomeXchange (identifier PXD003172). With this, we would like to contribute to a more effective discussion and the development of new approaches for tryptic peptide identification in MS imaging. From an experimental point of view, we demonstrate the improvement due to the combination of high spatial resolution and high mass resolution/mass accuracy on a measurement at 25 μm pixel size in mouse cerebellum tissue. A whole body section of a mouse pub imaged at 50 μm pixel size (40 GB, 230,000 spectra) demonstrates the stability of our protocol. For this data set, we developed a workflow that is based on conversion to the common data format imzML and sequential application of freely available software tools. In combination, the presented results for spatial resolution, protein identification, and data processing constitute significant improvements for the field of on-tissue digestion. MS imaging of coronal mouse brain cerebellum with a pixel size of 25 μm: A Optical image, B myelin staining, C H&E staining, and D MS image overlay (RGB) of tryptic peptides m/z = 726.4045 ± 0.005, HGFLPR + H+ (red), m/z = 536.3173 ± 0.005, AKPAK + Na+ (green), and m/z = 994.5436 ± 0.005, WRQLIEK + Na+ (blue) ![]()
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Affiliation(s)
- Katharina Huber
- Institute of Inorganic and Analytical Chemistry, Justus Liebig University, Heinrich-Buff-Ring 17, 35392, Giessen, Germany
| | - Pegah Khamehgir-Silz
- Institute of Inorganic and Analytical Chemistry, Justus Liebig University, Heinrich-Buff-Ring 17, 35392, Giessen, Germany
| | - Thorsten Schramm
- Institute of Inorganic and Analytical Chemistry, Justus Liebig University, Heinrich-Buff-Ring 17, 35392, Giessen, Germany
| | - Vladimir Gorshkov
- Institute of Inorganic and Analytical Chemistry, Justus Liebig University, Heinrich-Buff-Ring 17, 35392, Giessen, Germany
| | - Bernhard Spengler
- Institute of Inorganic and Analytical Chemistry, Justus Liebig University, Heinrich-Buff-Ring 17, 35392, Giessen, Germany
| | - Andreas Römpp
- Institute of Inorganic and Analytical Chemistry, Justus Liebig University, Heinrich-Buff-Ring 17, 35392, Giessen, Germany. .,Bioanalytical Sciences and Food Analysis, University of Bayreuth, Universitaetsstrasse 30, 95440, Bayreuth, Germany.
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21
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Bilić P, Kuleš J, Galan A, Gomes de Pontes L, Guillemin N, Horvatić A, Festa Sabes A, Mrljak V, Eckersall PD. Proteomics in Veterinary Medicine and Animal Science: Neglected Scientific Opportunities with Immediate Impact. Proteomics 2018; 18:e1800047. [DOI: 10.1002/pmic.201800047] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2018] [Revised: 05/24/2018] [Indexed: 12/27/2022]
Affiliation(s)
- Petra Bilić
- VetMedZg Proteomics Laboratory; Faculty of Veterinary Medicine; University of Zagreb; Heinzelova 55 10000 Zagreb Croatia
| | - Josipa Kuleš
- VetMedZg Proteomics Laboratory; Faculty of Veterinary Medicine; University of Zagreb; Heinzelova 55 10000 Zagreb Croatia
| | - Asier Galan
- VetMedZg Proteomics Laboratory; Faculty of Veterinary Medicine; University of Zagreb; Heinzelova 55 10000 Zagreb Croatia
| | - Leticia Gomes de Pontes
- Botucatu Medical School; Sao Paulo State University (UNESP); Avenida José Barbosa de Barros, 1780; Botucatu 18610-307 Brazil
| | - Nicolas Guillemin
- VetMedZg Proteomics Laboratory; Faculty of Veterinary Medicine; University of Zagreb; Heinzelova 55 10000 Zagreb Croatia
| | - Anita Horvatić
- VetMedZg Proteomics Laboratory; Faculty of Veterinary Medicine; University of Zagreb; Heinzelova 55 10000 Zagreb Croatia
| | - Amanda Festa Sabes
- Department of Clinical and Veterinary Surgery; Faculty of Agrarian and Veterinary Sciences; Via de Acesso Paulo Donato Castellane s/n. 14884-900 Jaboticabal São Paulo Brazil
| | - Vladimir Mrljak
- VetMedZg Proteomics Laboratory; Faculty of Veterinary Medicine; University of Zagreb; Heinzelova 55 10000 Zagreb Croatia
| | - Peter David Eckersall
- VetMedZg Proteomics Laboratory; Faculty of Veterinary Medicine; University of Zagreb; Heinzelova 55 10000 Zagreb Croatia
- Institute of Biodiversity; Animal Health and Comparative Medicine; College of Medicine; Veterinary Medicine and Life Sciences; University of Glasgow; Glasgow G61 1QH UK
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22
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Maronpot RR, Nyska A, Troth SP, Gabrielson K, Sysa-Shah P, Kalchenko V, Kuznetsov Y, Harmelin A, Schiffenbauer YS, Bonnel D, Stauber J, Ramot Y. Regulatory Forum Opinion Piece*: Imaging Applications in Toxicologic Pathology-Recommendations for Use in Regulated Nonclinical Toxicity Studies. Toxicol Pathol 2018. [PMID: 28641506 DOI: 10.1177/0192623317710014] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Available imaging systems for use in preclinical toxicology studies increasingly show utility as important tools in the toxicologic pathologist's armamentarium, permit longitudinal evaluation of functional and morphological changes in tissues, and provide important information such as organ and lesion volume not obtained by conventional toxicology study parameters. Representative examples of practical imaging applications in toxicology research and preclinical studies are presented for ultrasound, positron emission tomography/single-photon emission computed tomography, optical, magnetic resonance imaging, and matrix-assisted laser desorption ionization-imaging mass spectrometry imaging. Some of the challenges for making imaging systems good laboratory practice-compliant for regulatory submission are presented. Use of imaging data on a case-by-case basis as part of safety evaluation in regulatory submissions is encouraged.
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Affiliation(s)
| | - Abraham Nyska
- 2 Toxicologic Pathology, Sackler School of Medicine, Tel Aviv University, Timrat, Israel
| | - Sean P Troth
- 3 Merck & Co., Inc., West Point, Pennsylvania, USA
| | - Kathleen Gabrielson
- 4 Department of Molecular and Comparative Pathobiology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Polina Sysa-Shah
- 4 Department of Molecular and Comparative Pathobiology, School of Medicine, Johns Hopkins University, Baltimore, Maryland, USA
| | - Vyacheslav Kalchenko
- 5 Department of Veterinary Resources, Weizmann Institute of Science, Rehovot, Israel
| | - Yuri Kuznetsov
- 5 Department of Veterinary Resources, Weizmann Institute of Science, Rehovot, Israel
| | - Alon Harmelin
- 5 Department of Veterinary Resources, Weizmann Institute of Science, Rehovot, Israel
| | | | | | | | - Yuval Ramot
- 8 Hadassah-Hebrew University Medical Center, Jerusalem, Israel
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23
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Ryan DJ, Nei D, Prentice BM, Rose KL, Caprioli RM, Spraggins JM. Protein identification in imaging mass spectrometry through spatially targeted liquid micro-extractions. RAPID COMMUNICATIONS IN MASS SPECTROMETRY : RCM 2018; 32:442-450. [PMID: 29226434 PMCID: PMC5812809 DOI: 10.1002/rcm.8042] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/15/2017] [Revised: 10/16/2017] [Accepted: 11/22/2017] [Indexed: 05/02/2023]
Abstract
RATIONALE Liquid extraction surface analysis (LESA) can be used to generate spatially directed protein identifications in an imaging mass spectrometry (IMS) workflow. This approach involves the use of robotic micro-extractions coupled to online liquid chromatography (LC). We have characterized the extraction efficiency of this method as well as its ability to identify proteins from a matrix assisted laser/desorption ionization (MALDI) IMS experiment. METHODS Proteins and peptides were extracted from transverse sections of a rat brain and sagittal sections of a mouse pup using liquid surface extractions. Extracts were either analyzed by online LC coupled to a high mass resolution Fourier transform ion cyclotron resonance (FTICR) mass spectrometer or collected offline and analyzed by traditional LC/MS methods. Identifications were made using both top-down and bottom-up methodologies. MALDI images were acquired on a 15T FTICR mass spectrometer at 125 μm spatial resolution. RESULTS Robotic liquid surface extractions are reproducible across various tissue types, providing significantly improved spatial resolution, with respect to extractions, while still allowing for a robust number of protein identifications. A single 2-μL extract can provide identification of over 14,000 peptides with little sample preparation, increasing throughput for spatially targeted workflows. Surface extractions from tissue were coupled directly to LC to gather spatially relevant proteomics data. CONCLUSIONS Robotic liquid surface extractions can be used to interrogate discrete regions of tissue to provide protein identifications with high throughput, accuracy, and robustness. The direct coupling of tissue surface extractions and LC offers a new and effective approach to provide spatial proteomics data in an imaging experiment.
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Affiliation(s)
- Daniel J Ryan
- Department of Chemistry, Vanderbilt University, 7330 Stevenson Center, Station B 351822, Nashville, TN, 37235, USA
- Mass Spectrometry Research Center, Vanderbilt University, 465 21st Ave S #9160, Nashville, TN, 37235, USA
| | - David Nei
- Mass Spectrometry Research Center, Vanderbilt University, 465 21st Ave S #9160, Nashville, TN, 37235, USA
- Department of Biochemistry, Vanderbilt University, 607 Light Hall, Nashville, TN, 37205, USA
| | - Boone M Prentice
- Mass Spectrometry Research Center, Vanderbilt University, 465 21st Ave S #9160, Nashville, TN, 37235, USA
- Department of Biochemistry, Vanderbilt University, 607 Light Hall, Nashville, TN, 37205, USA
| | - Kristie L Rose
- Mass Spectrometry Research Center, Vanderbilt University, 465 21st Ave S #9160, Nashville, TN, 37235, USA
- Department of Biochemistry, Vanderbilt University, 607 Light Hall, Nashville, TN, 37205, USA
| | - Richard M Caprioli
- Department of Chemistry, Vanderbilt University, 7330 Stevenson Center, Station B 351822, Nashville, TN, 37235, USA
- Mass Spectrometry Research Center, Vanderbilt University, 465 21st Ave S #9160, Nashville, TN, 37235, USA
- Department of Biochemistry, Vanderbilt University, 607 Light Hall, Nashville, TN, 37205, USA
- Department of Pharmacology, Vanderbilt University, 442 Robinson Research Building, 2220 Pierce Avenue, Nashville, TN, 37232, USA
- Department of Medicine, Vanderbilt University, 465 21st Ave S #9160, Nashville, TN, 37235, USA
| | - Jeffrey M Spraggins
- Department of Chemistry, Vanderbilt University, 7330 Stevenson Center, Station B 351822, Nashville, TN, 37235, USA
- Mass Spectrometry Research Center, Vanderbilt University, 465 21st Ave S #9160, Nashville, TN, 37235, USA
- Department of Biochemistry, Vanderbilt University, 607 Light Hall, Nashville, TN, 37205, USA
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Thomas A, Lenglet S, Chaurand P, Déglon J, Mangin P, Mach F, Steffens S, Wolfender JL, Staub C. Mass spectrometry for the evaluation of cardiovascular diseases based on proteomics and lipidomics. Thromb Haemost 2017; 106:20-33. [DOI: 10.1160/th10-12-0812] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2010] [Accepted: 03/18/2011] [Indexed: 01/05/2023]
Abstract
SummaryThe identification and quantification of proteins and lipids is of major importance for the diagnosis, prognosis and understanding of the molecular mechanisms involved in disease development. Owing to its selectivity and sensitivity, mass spectrometry has become a key technique in analytical platforms for proteomic and lipidomic investigations. Using this technique, many strategies have been developed based on unbiased or targeted approaches to highlight or monitor molecules of interest from biomatrices. Although these approaches have largely been employed in cancer research, this type of investigation has been met by a growing interest in the field of cardiovascular disorders, potentially leading to the discovery of novel biomarkers and the development of new therapies. In this paper, we will review the different mass spectrometry- based proteomic and lipidomic strategies applied in cardiovascular diseases, especially atherosclerosis. Particular attention will be given to recent developments and the role of bioinformatics in data treatment. This review will be of broad interest to the medical community by providing a tutorial of how mass spectrometric strategies can support clinical trials.
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25
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Applications of Mass Spectrometry Imaging for Safety Evaluation. Methods Mol Biol 2017. [PMID: 28748461 DOI: 10.1007/978-1-4939-7172-5_6] [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) was first derived from techniques used in physics, which were then incorporated into chemistry followed by application in biology. Developed over 50 years ago, and with different principles to detect and map compounds on a sample surface, MSI supports modern biology questions by detecting biological compounds within tissue sections. MALDI (matrix-assisted laser desorption/ionization) imaging trend analysis in this field shows an important increase in the number of publications since 2005, especially with the development of the MALDI imaging technique and its applications in biomarker discovery and drug distribution. With recent improvements of statistical tools, absolute and relative quantification protocols, as well as quality and reproducibility evaluations, MALDI imaging has become one of the most reliable MSI techniques to support drug discovery and development phases. MSI allows to potentially address important questions in drug development such as "What is the localization of the drug and its metabolites in the tissues?", "What is the pharmacological effect of the drug in this particular region of interest?", or "Is the drug and its metabolites related to an atypical finding?" However, prior to addressing these questions using MSI techniques, expertise needs to be developed to become proficient at histological procedures (tissue preparation with frozen of fixed tissues), analytical chemistry, matrix application, instrumentation, informatics, and mathematics for data analysis and interpretation.
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26
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Improved MALDI imaging MS analysis of phospholipids using graphene oxide as new matrix. Sci Rep 2017; 7:44466. [PMID: 28294158 PMCID: PMC5353552 DOI: 10.1038/srep44466] [Citation(s) in RCA: 34] [Impact Index Per Article: 4.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2016] [Accepted: 02/07/2017] [Indexed: 12/14/2022] Open
Abstract
Matrix assisted laser desorption/ionization (MALDI) imaging mass spectrometry (IMS) is an increasingly important technique for detection and spatial localization of phospholipids on tissue. Due to the high abundance and being easy-to-ionize of phosphatidylcholine (PC), therefore, selecting matrix to yield signals of other lipids has become the most crucial factor for a successful MALDI-IMS analysis of phospholipids. Herein, graphene oxide (GO) was proposed as a new matrix to selectively enhance the detection of other types of phospholipids that are frequently suppressed by the presence of PC in positive mode. Compared to the commonly used matrix DHB, GO matrix significantly improved signal-to-noise ratios of phospholipids as a result of its high desorption/ionization efficiency for nonpolar compounds. Also, GO afforded homogeneous crystallizations with analytes due to its monolayer structure and good dispersion, resulting in better reproducibility of shot-to-shot (CV < 13%) and spot-to-spot (CV < 14%) analysis. Finally, GO matrix was successfully applied to simultaneous imaging of PC, PE, PS and glycosphingolipid in the mouse brain, with a total of 65 phospholipids identified.
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27
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Hinsch A, Buchholz M, Odinga S, Borkowski C, Koop C, Izbicki JR, Wurlitzer M, Krech T, Wilczak W, Steurer S, Jacobsen F, Burandt EC, Stahl P, Simon R, Sauter G, Schlüter H. MALDI imaging mass spectrometry reveals multiple clinically relevant masses in colorectal cancer using large-scale tissue microarrays. JOURNAL OF MASS SPECTROMETRY : JMS 2017; 52:165-173. [PMID: 28117928 DOI: 10.1002/jms.3916] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/12/2016] [Revised: 01/13/2017] [Accepted: 01/19/2017] [Indexed: 06/06/2023]
Abstract
For identification of clinically relevant masses to predict status, grade, relapse and prognosis of colorectal cancer, we applied Matrix-assisted laser desorption ionization (MALDI) imaging mass spectrometry (IMS) to a tissue micro array containing formalin-fixed and paraffin-embedded tissue samples from 349 patients. Analysis of our MALDI-IMS data revealed 27 different m/z signals associated with epithelial structures. Comparison of these signals showed significant association with status, grade and Ki-67 labeling index. Fifteen out of 27 IMS signals revealed a significant association with survival. For seven signals (m/z 654, 776, 788, 904, 944, 975 and 1013) the absence and for eight signals (m/z 643, 678, 836, 886, 898, 1095, 1459 and 1477) the presence were associated with decreased life expectancy, including five masses (m/z 788, 836, 904, 944 and 1013) that provided prognostic information independently from the established prognosticators pT and pN. Combination of these five masses resulted in a three-step classifier that provided prognostic information superior to univariate analysis. In addition, a total of 19 masses were associated with tumor stage, grade, metastasis and cell proliferation. Our data demonstrate the suitability of combining IMS and large-scale tissue micro arrays to simultaneously identify and validate clinically useful molecular marker. Copyright © 2017 John Wiley & Sons, Ltd.
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Affiliation(s)
- A Hinsch
- Department of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany
| | - M Buchholz
- Department of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany
| | - S Odinga
- Department of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany
| | - C Borkowski
- Department of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany
| | - C Koop
- Department of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany
| | - J R Izbicki
- Department of General, Visceral and Thoracic Surgery, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany
| | - M Wurlitzer
- Dept. of Clinical Chemistry, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany
| | - T Krech
- Department of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany
| | - W Wilczak
- Department of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany
| | - S Steurer
- Department of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany
| | - F Jacobsen
- Department of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany
| | - E-C Burandt
- Department of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany
| | - P Stahl
- Department of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany
| | - R Simon
- Department of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany
| | - G Sauter
- Department of Pathology, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany
| | - H Schlüter
- Dept. of Clinical Chemistry, University Medical Center Hamburg-Eppendorf, Martinistr. 52, 20246, Hamburg, Germany
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28
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Ucal Y, Durer ZA, Atak H, Kadioglu E, Sahin B, Coskun A, Baykal AT, Ozpinar A. Clinical applications of MALDI imaging technologies in cancer and neurodegenerative diseases. BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS 2017; 1865:795-816. [PMID: 28087424 DOI: 10.1016/j.bbapap.2017.01.005] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/01/2016] [Revised: 12/08/2016] [Accepted: 01/06/2017] [Indexed: 12/25/2022]
Abstract
Matrix-assisted laser desorption/ionization (MALDI) time-of-flight (TOF) imaging mass spectrometry (IMS) enables localization of analytes of interest along with histology. More specifically, MALDI-IMS identifies the distributions of proteins, peptides, small molecules, lipids, and drugs and their metabolites in tissues, with high spatial resolution. This unique capacity to directly analyze tissue samples without the need for lengthy sample preparation reduces technical variability and renders MALDI-IMS ideal for the identification of potential diagnostic and prognostic biomarkers and disease gradation. MALDI-IMS has evolved rapidly over the last decade and has been successfully used in both medical and basic research by scientists worldwide. In this review, we explore the clinical applications of MALDI-IMS, focusing on the major cancer types and neurodegenerative diseases. In particular, we re-emphasize the diagnostic potential of IMS and the challenges that must be confronted when conducting MALDI-IMS in clinical settings. 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)
- Yasemin Ucal
- Acibadem University, Department of Medical Biochemistry, School of Medicine, Istanbul, Turkey
| | - Zeynep Aslıhan Durer
- Acibadem University, Department of Medical Biochemistry, School of Medicine, Istanbul, Turkey
| | - Hakan Atak
- Acibadem University, Department of Medical Biochemistry, School of Medicine, Istanbul, Turkey
| | - Elif Kadioglu
- Acibadem University, Department of Medical Biochemistry, School of Medicine, Istanbul, Turkey
| | - Betul Sahin
- Acibadem University, Department of Medical Biochemistry, School of Medicine, Istanbul, Turkey
| | - Abdurrahman Coskun
- Acibadem University, Department of Medical Biochemistry, School of Medicine, Istanbul, Turkey
| | - Ahmet Tarık Baykal
- Acibadem University, Department of Medical Biochemistry, School of Medicine, Istanbul, Turkey
| | - Aysel Ozpinar
- Acibadem University, Department of Medical Biochemistry, School of Medicine, Istanbul, Turkey.
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29
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Djidja MC, Claude E, Scriven P, Allen DW, Carolan VA, Clench MR. Antigen retrieval prior to on-tissue digestion of formalin-fixed paraffin-embedded tumour tissue sections yields oxidation of proline residues. BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS 2016; 1865:901-906. [PMID: 27939604 DOI: 10.1016/j.bbapap.2016.11.019] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/05/2016] [Revised: 11/22/2016] [Accepted: 11/23/2016] [Indexed: 11/30/2022]
Abstract
MALDI-mass spectrometry imaging (MALDI-MSI) has been shown to allow the study of protein distribution and identification directly within formalin-fixed paraffin-embedded (FFPE) tissue sections. However, direct protein identification from tissue sections remains challenging due to signal interferences and/or existing post-translational or other chemical modifications. The use of antigen retrieval (AR) has been demonstrated for unlocking proteins prior to in situ enzymatic digestion and MALDI-MSI analysis of FFPE tissue sections. In the work reported here, the identification of proline oxidation, which may occur when performing the AR protocol, is described. This facilitated and considerably increased the number of identified peptides when adding proline oxidation as a variable modification to the MASCOT search criteria. 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)
- Marie-Claude Djidja
- Centre for Mass Spectrometry Imaging, Biomolecular Sciences Research Centre, Sheffield Hallam University, Howard Street, Sheffield S1 1WB, UK
| | | | - Peter Scriven
- Academic Surgical Oncology Unit, University of Sheffield, Sheffield, UK
| | - David W Allen
- Centre for Mass Spectrometry Imaging, Biomolecular Sciences Research Centre, Sheffield Hallam University, Howard Street, Sheffield S1 1WB, UK
| | - Vikki A Carolan
- Centre for Mass Spectrometry Imaging, Biomolecular Sciences Research Centre, Sheffield Hallam University, Howard Street, Sheffield S1 1WB, UK
| | - Malcolm R Clench
- Centre for Mass Spectrometry Imaging, Biomolecular Sciences Research Centre, Sheffield Hallam University, Howard Street, Sheffield S1 1WB, UK..
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30
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Karlsson O, Hanrieder J. Imaging mass spectrometry in drug development and toxicology. Arch Toxicol 2016; 91:2283-2294. [PMID: 27933369 PMCID: PMC5429351 DOI: 10.1007/s00204-016-1905-6] [Citation(s) in RCA: 72] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2016] [Accepted: 11/24/2016] [Indexed: 11/25/2022]
Abstract
During the last decades, imaging mass spectrometry has gained significant relevance in biomedical research. Recent advances in imaging mass spectrometry have paved the way for in situ studies on drug development, metabolism and toxicology. In contrast to whole-body autoradiography that images the localization of radiolabeled compounds, imaging mass spectrometry provides the possibility to simultaneously determine the discrete tissue distribution of the parent compound and its metabolites. In addition, imaging mass spectrometry features high molecular specificity and allows comprehensive, multiplexed detection and localization of hundreds of proteins, peptides and lipids directly in tissues. Toxicologists traditionally screen for adverse findings by histopathological examination. However, studies of the molecular and cellular processes underpinning toxicological and pathologic findings induced by candidate drugs or toxins are important to reach a mechanistic understanding and an effective risk assessment strategy. One of IMS strengths is the ability to directly overlay the molecular information from the mass spectrometric analysis with the tissue section and allow correlative comparisons of molecular and histologic information. Imaging mass spectrometry could therefore be a powerful tool for omics profiling of pharmacological/toxicological effects of drug candidates and toxicants in discrete tissue regions. The aim of the present review is to provide an overview of imaging mass spectrometry, with particular focus on MALDI imaging mass spectrometry, and its use in drug development and toxicology in general.
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Affiliation(s)
- Oskar Karlsson
- Center for Molecular Medicine, Department of Clinical Neuroscience, Karolinska Institute, 171 76, Stockholm, Sweden.
- Department of Pharmaceutical Biosciences, Drug Safety and Toxicology, Uppsala University, 751 24, Uppsala, Sweden.
| | - Jörg Hanrieder
- Department of Psychiatry and Neurochemistry, Sahlgrenska Academy at the University of Gothenburg, Mölndal Hospital, House V, 431 80, Mölndal, Sweden
- Department of Molecular Neuroscience, UCL Institute of Neurology, University College London, Queen Square, London, WC1N, UK
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31
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Yoshimura Y, Goto-Inoue N, Moriyama T, Zaima N. Significant advancement of mass spectrometry imaging for food chemistry. Food Chem 2016; 210:200-11. [DOI: 10.1016/j.foodchem.2016.04.096] [Citation(s) in RCA: 51] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2015] [Revised: 02/17/2016] [Accepted: 04/20/2016] [Indexed: 11/30/2022]
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32
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Schwamborn K, Kriegsmann M, Weichert W. MALDI imaging mass spectrometry - From bench to bedside. BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS 2016; 1865:776-783. [PMID: 27810414 DOI: 10.1016/j.bbapap.2016.10.014] [Citation(s) in RCA: 47] [Impact Index Per Article: 5.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/07/2016] [Revised: 10/24/2016] [Accepted: 10/28/2016] [Indexed: 10/20/2022]
Abstract
Today, pathologists face many challenges in defining the precise morphomolecular diagnosis and in guiding clinicians to the optimal patients' treatment. To achieve this goal, increasingly, classical histomorphological methods have to be supplemented by high throughput molecular assays. Since MALDI imaging mass spectrometry (IMS) enables the assessment of spatial molecular arrangements in tissue sections, it goes far beyond microscopy in providing hundreds of different molecular images from a single scan without the need of target-specific reagents. Thus, this technology has the potential to uncover new markers for diagnostic purposes or markers that correlate with disease severity as well as prognosis and therapeutic response. Additionally, in the future MALDI IMS based classifiers measured with this technology in real time in the diagnostic setting might be applicable in the routine diagnostic setting. In this review, recently published studies that show the usefulness, advantages, and applicability of MALDI IMS in different fields of pathology (diagnosis, prognosis and treatment response) are highlighted. 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)
- Kristina Schwamborn
- Institute of Pathology, Technische Universität München (TUM), Munich, Germany.
| | - Mark Kriegsmann
- University of Heidelberg, Department of Pathology, Heidelberg, Germany
| | - Wilko Weichert
- Institute of Pathology, Technische Universität München (TUM), Munich, Germany
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Schubert KO, Weiland F, Baune BT, Hoffmann P. The use of MALDI-MSI in the investigation of psychiatric and neurodegenerative disorders: A review. Proteomics 2016; 16:1747-58. [DOI: 10.1002/pmic.201500460] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2015] [Revised: 02/08/2016] [Accepted: 02/24/2016] [Indexed: 11/11/2022]
Affiliation(s)
| | - Florian Weiland
- Adelaide Proteomics Centre; The University of Adelaide; Adelaide Australia
- Institute for Photonics and Advanced Sensing (IPAS); The University of Adelaide; Adelaide Australia
| | - Bernhard T. Baune
- Discipline of Psychiatry; The University of Adelaide; Adelaide Australia
| | - Peter Hoffmann
- Adelaide Proteomics Centre; The University of Adelaide; Adelaide Australia
- Institute for Photonics and Advanced Sensing (IPAS); The University of Adelaide; Adelaide Australia
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Hunt NJ, Phillips L, Waters KA, Machaalani R. Proteomic MALDI-TOF/TOF-IMS examination of peptide expression in the formalin fixed brainstem and changes in sudden infant death syndrome infants. J Proteomics 2016; 138:48-60. [PMID: 26926438 DOI: 10.1016/j.jprot.2016.02.022] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2015] [Revised: 01/30/2016] [Accepted: 02/23/2016] [Indexed: 01/23/2023]
Abstract
UNLABELLED Matrix assisted laser desorption/ionisation imaging mass spectrometry (MALDI-IMS) has not previously been utilised to examine sudden infant death syndrome (SIDS). This study aimed to optimise MALDI IMS for use on archived formalin-fixed-paraffin-embedded human infant medulla tissue (n=6, controls; n=6, SIDS) to evaluate differences between multiple nuclei of the medulla by using high resolution IMS. Profiles were compared between SIDS and age/sex matched controls. LC-MALDI identified 55 proteins based on 321 peptides across all samples; 286 peaks were found using IMS, corresponding to these 55 proteins that were directly compared between controls and SIDS. Control samples were used to identify common peptides for neuronal/non-neuronal structures allowing identification of medullary regions. In SIDS, abnormal expression patterns of 41 peptides (p≤0.05) corresponding to 9 proteins were observed; these changes were confirmed with immunohistochemistry. The protein abnormalities varied amongst nuclei, with the majority of variations in the raphe nuclei, hypoglossal and pyramids. The abnormal proteins are not related to a previously identified neurological disease pathway but consist of developmental neuronal/glial/axonal growth, cell metabolism, cyto-architecture and apoptosis components. This suggests that SIDS infants have abnormal neurological development in the raphe nuclei, hypoglossal and pyramids of the brainstem, which may contribute to the pathogenesis of SIDS. BIOLOGICAL SIGNIFICANCE This study is the first to perform an imaging mass spectrometry investigation in the human brainstem and also within sudden infant death syndrome (SIDS). LC MALDI and MALDI IMS identified 55 proteins based on 285 peptides in both control and SIDS tissue; with abnormal expression patterns present for 41/285 and 9/55 proteins in SIDS using IMS. The abnormal proteins are critical for neurological development; with the impairment supporting the hypothesis that SIDS may be due to delayed neurological maturation. The brainstem regions mostly affected included the raphe nuclei, hypoglossal and pyramids. This study highlights that basic cyto-architectural proteins are affected in SIDS and that abnormal expression of these proteins in other CNS disorders should be examined. KEY SENTENCES LC MALDI and MALDI IMS identified 55 proteins based on 285 peptides in both control and SIDS tissue. Abnormal expression patterns were present for 41/285 and 9/55 proteins in SIDS using IMS. Brainstem regions mostly affected included the raphe nuclei, hypoglossal and pyramids.
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Affiliation(s)
- Nicholas J Hunt
- Department of Medicine, Central Clinical School, University of Sydney, NSW, Australia; BOSCH Institute of Biomedical Research, University of Sydney, NSW, Australia
| | - Leo Phillips
- Hormones and Cancer Division, Kolling Institute of Medical Research, University of Sydney, Royal North Shore Hospital, NSW, Australia
| | - Karen A Waters
- Department of Medicine, Central Clinical School, University of Sydney, NSW, Australia; BOSCH Institute of Biomedical Research, University of Sydney, NSW, Australia; The Children's Hospital, Westmead, NSW 2145, Australia
| | - Rita Machaalani
- Department of Medicine, Central Clinical School, University of Sydney, NSW, Australia; BOSCH Institute of Biomedical Research, University of Sydney, NSW, Australia; The Children's Hospital, Westmead, NSW 2145, Australia.
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Dallas DC, Guerrero A, Parker EA, Robinson RC, Gan J, German JB, Barile D, Lebrilla CB. Current peptidomics: applications, purification, identification, quantification, and functional analysis. Proteomics 2015; 15:1026-38. [PMID: 25429922 PMCID: PMC4371869 DOI: 10.1002/pmic.201400310] [Citation(s) in RCA: 156] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2014] [Revised: 10/08/2014] [Accepted: 11/24/2014] [Indexed: 12/28/2022]
Abstract
Peptidomics is an emerging field branching from proteomics that targets endogenously produced protein fragments. Endogenous peptides are often functional within the body-and can be both beneficial and detrimental. This review covers the use of peptidomics in understanding digestion, and identifying functional peptides and biomarkers. Various techniques for peptide and glycopeptide extraction, both at analytical and preparative scales, and available options for peptide detection with MS are discussed. Current algorithms for peptide sequence determination, and both analytical and computational techniques for quantification are compared. Techniques for statistical analysis, sequence mapping, enzyme prediction, and peptide function, and structure prediction are explored.
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Affiliation(s)
- David C. Dallas
- Department of Food Science and Technology, University of California, Davis, One Shields Avenue, Davis, CA, USA
- Foods for Health Institute, University of California, Davis, One Shields Avenue, Davis, CA, USA
| | - Andres Guerrero
- Department of Chemistry, University of California, Davis, One Shields Avenue, Davis, CA, USA
| | - Evan A. Parker
- Department of Chemistry, University of California, Davis, One Shields Avenue, Davis, CA, USA
| | - Randall C. Robinson
- Department of Food Science and Technology, University of California, Davis, One Shields Avenue, Davis, CA, USA
| | - Junai Gan
- Department of Food Science and Technology, University of California, Davis, One Shields Avenue, Davis, CA, USA
| | - J. Bruce German
- Department of Food Science and Technology, University of California, Davis, One Shields Avenue, Davis, CA, USA
- Foods for Health Institute, University of California, Davis, One Shields Avenue, Davis, CA, USA
| | - Daniela Barile
- Department of Food Science and Technology, University of California, Davis, One Shields Avenue, Davis, CA, USA
- Foods for Health Institute, University of California, Davis, One Shields Avenue, Davis, CA, USA
| | - Carlito B. Lebrilla
- Foods for Health Institute, University of California, Davis, One Shields Avenue, Davis, CA, USA
- Department of Chemistry, University of California, Davis, One Shields Avenue, Davis, CA, USA
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Hanrieder J, Malmberg P, Ewing AG. Spatial neuroproteomics using imaging mass spectrometry. BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS 2015; 1854:718-31. [PMID: 25582083 DOI: 10.1016/j.bbapap.2014.12.026] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/30/2014] [Revised: 12/11/2014] [Accepted: 12/19/2014] [Indexed: 12/12/2022]
Abstract
The nervous system constitutes arguably the most complicated and least understood cellular network in the human body. This consequently manifests itself in the fact that the molecular bases of neurodegenerative diseases remain unknown. The limited understanding of neurobiological mechanisms relates directly to the lack of appropriate bioanalytical technologies that allow highly resolved, sensitive, specific and comprehensive molecular imaging in complex biological matrices. Imaging mass spectrometry (IMS) is an emerging technique for molecular imaging. The technique is characterized by its high chemical specificity allowing comprehensive, spatial protein and peptide profiling in situ. Imaging MS represents therefore a powerful approach for investigation of spatio-temporal protein and peptide regulations in CNS derived tissue and cells. This review aims to provide a concise overview of major developments and applications concerning imaging mass spectrometry based protein and peptide profiling in neurobiological and biomedical research. This article is part of a Special Issue entitled: Neuroproteomics: Applications in Neuroscience and Neurology.
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Affiliation(s)
- Jörg Hanrieder
- National Center for Imaging Mass Spectrometry, University of Gothenburg and Chalmers University of Technology, Gothenburg, Sweden; Department of Chemical and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden; Institute of Neuroscience and Physiology, Department Psychiatry and Neurochemistry, University of Gothenburg, Sahlgrenska University Hospital Mölndal, Mölndal, Sweden
| | - Per Malmberg
- National Center for Imaging Mass Spectrometry, University of Gothenburg and Chalmers University of Technology, Gothenburg, Sweden; Department of Chemical and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden
| | - Andrew G Ewing
- National Center for Imaging Mass Spectrometry, University of Gothenburg and Chalmers University of Technology, Gothenburg, Sweden; Department of Chemical and Biological Engineering, Chalmers University of Technology, Gothenburg, Sweden; Department of Chemistry and Molecular Biology, University of Gothenburg, Gothenburg, Sweden.
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Mainini V, Lalowski M, Gotsopoulos A, Bitsika V, Baumann M, Magni F. MALDI-imaging mass spectrometry on tissues. Methods Mol Biol 2015; 1243:139-64. [PMID: 25384744 DOI: 10.1007/978-1-4939-1872-0_8] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/20/2023]
Abstract
Matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF)-profiling and imaging mass spectrometry (MSI) are promising technologies for measuring hundreds of different molecules directly on tissues. For instance, small molecules, drugs and their metabolites, endogenous lipids, carbohydrates and complex peptides/proteins can be measured at the same time. In the most advanced instruments, it is achieved without significant disruption of sample integrity. MSI is a unique approach for assessing the spatial distribution of molecules using graphical multidimensional maps of their constituent analytes, which may for instance be correlated with histopathological alterations in patient tissues. MALDI-TOF-MSI technology has been implemented in hospitals of several countries, where it is routinely used for quick pathogen(s) identification, a task formerly accomplished by laborious and expensive DNA/RNA-based PCR (polymerase chain reaction) screening.In this chapter, we describe how MSI is performed, what is required from the researcher, the instrument vendors and finally what can be achieved with MSI. We restrict our descriptions only to MALDI-MSI although several other MS techniques of ionization can easily be linked to MSI.
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Affiliation(s)
- Veronica Mainini
- Department of Health Sciences, University Milano-Bicocca, Via Cadore 48, Monza, 20900, Italy
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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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Mass spectrometric analysis of spatio-temporal dynamics of crustacean neuropeptides. BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS 2014; 1854:798-811. [PMID: 25448012 DOI: 10.1016/j.bbapap.2014.10.023] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/25/2014] [Revised: 10/23/2014] [Accepted: 10/28/2014] [Indexed: 12/13/2022]
Abstract
Neuropeptides represent one of the largest classes of signaling molecules used by nervous systems to regulate a wide range of physiological processes. Over the past several years, mass spectrometry (MS)-based strategies have revolutionized the discovery of neuropeptides in numerous model organisms, especially in decapod crustaceans. Here, we focus our discussion on recent advances in the use of MS-based techniques to map neuropeptides in the spatial domain and monitoring their dynamic changes in the temporal domain. These MS-enabled investigations provide valuable information about the distribution, secretion and potential function of neuropeptides with high molecular specificity and sensitivity. In situ MS imaging and in vivo microdialysis are highlighted as key technologies for probing spatio-temporal dynamics of neuropeptides in the crustacean nervous system. This review summarizes the latest advancement in MS-based methodologies for neuropeptide analysis including typical workflow and sample preparation strategies as well as major neuropeptide families discovered in decapod crustaceans. This article is part of a Special Issue entitled: Neuroproteomics: Applications in Neuroscience and Neurology.
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40
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Challenges and recent advances in mass spectrometric imaging of neurotransmitters. Bioanalysis 2014; 6:525-40. [PMID: 24568355 DOI: 10.4155/bio.13.341] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022] Open
Abstract
Mass spectrometric imaging (MSI) is a powerful tool that grants the ability to investigate a broad mass range of molecules, from small molecules to large proteins, by creating detailed distribution maps of selected compounds. To date, MSI has demonstrated its versatility in the study of neurotransmitters and neuropeptides of different classes toward investigation of neurobiological functions and diseases. These studies have provided significant insight in neurobiology over the years and current technical advances are facilitating further improvements in this field. Herein, we briefly review new MSI studies of neurotransmitters, focusing specifically on the challenges and recent advances of MSI of neurotransmitters.
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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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42
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Abdelmoula WM, Carreira RJ, Shyti R, Balluff B, van Zeijl RJM, Tolner EA, Lelieveldt BFP, van den Maagdenberg AMJM, McDonnell LA, Dijkstra J. Automatic registration of mass spectrometry imaging data sets to the Allen brain atlas. Anal Chem 2014; 86:3947-54. [PMID: 24661141 DOI: 10.1021/ac500148a] [Citation(s) in RCA: 51] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Mass spectrometry imaging holds great potential for understanding the molecular basis of neurological disease. Several key studies have demonstrated its ability to uncover disease-related biomolecular changes in rodent models of disease, even if highly localized or invisible to established histological methods. The high analytical reproducibility necessary for the biomedical application of mass spectrometry imaging means it is widely developed in mass spectrometry laboratories. However, many lack the expertise to correctly annotate the complex anatomy of brain tissue, or have the capacity to analyze the number of animals required in preclinical studies, especially considering the significant variability in sizes of brain regions. To address this issue, we have developed a pipeline to automatically map mass spectrometry imaging data sets of mouse brains to the Allen Brain Reference Atlas, which contains publically available data combining gene expression with brain anatomical locations. Our pipeline enables facile and rapid interanimal comparisons by first testing if each animal's tissue section was sampled at a similar location and enabling the extraction of the biomolecular signatures from specific brain regions.
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Affiliation(s)
- Walid M Abdelmoula
- Division of Image Processing, Department of Radiology, ‡Center for Proteomics and Metabolomics, §Department of Human Genetics, and ∥Department of Neurology, Leiden University Medical Center , 2333 ZA Leiden, the Netherlands
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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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Minerva L, Ceulemans A, Baggerman G, Arckens L. MALDI MS imaging as a tool for biomarker discovery: methodological challenges in a clinical setting. Proteomics Clin Appl 2014; 6:581-95. [PMID: 23090913 DOI: 10.1002/prca.201200033] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2012] [Revised: 10/01/2012] [Accepted: 10/05/2012] [Indexed: 12/12/2022]
Abstract
MALDI MS imaging (MSI) is an analytical tool capable of providing spatial distribution and relative abundance of biomolecules directly in tissue. After 15 years of intense efforts to improve the acquisition and quality of molecular images, MSI has matured into an asset of the proteomic toolbox. The power of MSI lies in the ability to differentiate tissue regions that are not histologically distinct but are characterized by different MS profiles. Recently, MSI has been gaining momentum in biomedical research and has found applications in disease diagnosis and prognosis, biomarker discovery, and drug therapy. Although the technology holds great promise, MSI is still faced with a set of methodological challenges presented by the clinical setting. There is a growing awareness regarding this topic and efforts are being taken to develop clear and practical standards to overcome these challenges. This review presents an overview of MALDI MSI as a biomarker discovery tool and recent methodological progress in the field.
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Affiliation(s)
- Laurens Minerva
- Laboratory of Neuroplasticity and Neuroproteomics, Katholieke Universiteit Leuven, Leuven, Belgium
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45
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Wong SCC, Chan CML, Ma BBY, Lam MYY, Choi GCG, Au TCC, Chan ASK, Chan ATC. Advanced proteomic technologies for cancer biomarker discovery. Expert Rev Proteomics 2014; 6:123-34. [DOI: 10.1586/epr.09.1] [Citation(s) in RCA: 52] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
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46
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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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47
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Karlsson O, Bergquist J, Andersson M. Quality measures of imaging mass spectrometry aids in revealing long-term striatal protein changes induced by neonatal exposure to the cyanobacterial toxin β-N-methylamino-L-alanine (BMAA). Mol Cell Proteomics 2013; 13:93-104. [PMID: 24126143 PMCID: PMC3879633 DOI: 10.1074/mcp.m113.031435] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
Many pathological processes are not directly correlated to dramatic alterations in protein levels. The changes in local concentrations of important proteins in a subset of cells or at specific loci are likely to play a significant role in disease etiologies, but the precise location might be unknown, or the concentration might be too small to be adequately sampled for traditional proteomic techniques. Matrix-assisted laser desorption ionization (MALDI) imaging mass spectrometry (IMS) is a unique analytical method that combines analysis of multiple molecular species and of their distribution in a single platform. As reproducibility is essential for successful biomarker discovery, it is important to systematically assess data quality in biologically relevant MALDI IMS experiments. In the present study, we applied four simple tools to study the reproducibility for individual sections, within-group variation, and between-group variation of data acquired from brain sections of 21 animals divided into three treatment groups. We also characterized protein changes in distinct regions of the striatum from six-month-old rats treated neonatally (postnatal days 9–10) with the cyanobacterial toxin β-N-methylamino-l-alanine (BMAA), which has been implicated in neurodegenerative diseases. The results showed that optimized experimental settings can yield high-quality MALDI IMS data with relatively low variation (14% to 15% coefficient of variance) that allow the characterization of subtle changes in protein expression in various subregions of the brain. This was further exemplified by the dose-dependent reduction of myelin basic protein in the caudate putamen and the nucleus accumbens of adult rats neonatally treated with BMAA (150 and 460 mg/kg). The reduction in myelin basic protein was confirmed through immunohistochemistry and indicates that developmental exposure to BMAA may induce structural effects on axonal growth and/or directly on the proliferation of oligodendrocytes and myelination, which might be important for the previously shown BMAA-induced long-term cognitive impairments.
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Affiliation(s)
- Oskar Karlsson
- Department of Pharmaceutical Biosciences, Uppsala University, 751 24 Uppsala, Sweden
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48
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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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49
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Griffiths RL, Sarsby J, Guggenheim EJ, Race AM, Steven RT, Fear J, Lalor PF, Bunch J. Formal lithium fixation improves direct analysis of lipids in tissue by mass spectrometry. Anal Chem 2013; 85:7146-53. [PMID: 23879734 DOI: 10.1021/ac400737z] [Citation(s) in RCA: 20] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Mass spectrometry imaging is a powerful method for imaging and in situ characterization of lipids in thin tissue sections. Structural elucidation of lipids is often achieved via collision induced dissociation, and lithium-lipid adducts have been widely reported as providing the most structurally informative fragment ions. We present a method for the incorporation of lithium salts into tissue imaging experiments via fixation of samples in formal lithium solutions. The method is suitable for preparation of single tissue sections, or as an immersion fixation method for whole tissue blocks or organs prior to sectioning. We compare lithium adduct detection and MALDI-MSI of murine brain from analysis of tissues prepared in different ways. Tissues prepared in formal solutions containing lithium or sodium salts before coating in matrix via air-spray deposition are compared with fresh samples coated in lithium-doped matrix preparations by either dry-coating or air-spray deposition. Sample preparation via fixation in formal lithium is shown to yield the highest quality images of lithium adducts, resulting in acquisition of more informative product ion spectra in MALDI MS/MS profiling and imaging experiments. Finally, the compatibility of formal lithium solutions with standard histological staining protocols (hemotoxylin and eosin, Van Giessen and Oil Red O) is demonstrated in a study of human liver tissue.
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Affiliation(s)
- Rian L Griffiths
- School of Chemistry, University of Birmingham, Edgbaston, Birmingham, United Kingdom
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50
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Flatley B, Malone P, Cramer R. MALDI mass spectrometry in prostate cancer biomarker discovery. BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS 2013; 1844:940-9. [PMID: 23831156 DOI: 10.1016/j.bbapap.2013.06.015] [Citation(s) in RCA: 17] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/16/2013] [Revised: 05/23/2013] [Accepted: 06/20/2013] [Indexed: 01/14/2023]
Abstract
Matrix-assisted laser desorption/ionisation (MALDI) mass spectrometry (MS) is a highly versatile and sensitive analytical technique, which is known for its soft ionisation of biomolecules such as peptides and proteins. Generally, MALDI MS analysis requires little sample preparation, and in some cases like MS profiling it can be automated through the use of robotic liquid-handling systems. For more than a decade now, MALDI MS has been extensively utilised in the search for biomarkers that could aid clinicians in diagnosis, prognosis, and treatment decision making. This review examines the various MALDI-based MS techniques like MS imaging, MS profiling and proteomics in-depth analysis where MALDI MS follows fractionation and separation methods such as gel electrophoresis, and how these have contributed to prostate cancer biomarker research. This article is part of a Special Issue entitled: Biomarkers: A Proteomic Challenge.
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Affiliation(s)
- Brian Flatley
- Department of Chemistry, University of Reading, Reading, UK; Urology Research Department, Royal Berkshire Hospital, Reading, UK
| | - Peter Malone
- Urology Research Department, Royal Berkshire Hospital, Reading, UK
| | - Rainer Cramer
- Department of Chemistry, University of Reading, Reading, UK.
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