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Hu S, Habib A, Xiong W, Chen L, Bi L, Wen L. Mass Spectrometry Imaging Techniques: Non-Ambient and Ambient Ionization Approaches. Crit Rev Anal Chem 2024:1-54. [PMID: 38889072 DOI: 10.1080/10408347.2024.2362703] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/20/2024]
Abstract
Molecular information can be acquired from sample surfaces in real time using a revolutionary molecular imaging technique called mass spectrometry imaging (MSI). The technique can concurrently provide high spatial resolution information on the spatial distribution and relative proportion of many different compounds. Thus, many scientists have been drawn to the innovative capabilities of the MSI approach, leading to significant focus in various fields during the past few decades. This review describes the sampling protocol, working principle and applications of a few non-ambient and ambient ionization mass spectrometry imaging techniques. The non-ambient techniques include secondary ionization mass spectrometry and matrix-assisted laser desorption ionization, while the ambient techniques include desorption electrospray ionization, laser ablation electrospray ionization, probe electro-spray ionization, desorption atmospheric pressure photo-ionization and femtosecond laser desorption ionization. The review additionally addresses the advantages and disadvantages of ambient and non-ambient MSI techniques in relation to their suitability, particularly for biological samples used in tissue diagnostics. Last but not least, suggestions and conclusions are made regarding the challenges and future prospects of MSI.
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Affiliation(s)
- Shundi Hu
- The Research Institute of Advanced Technologies, Ningbo University, Ningbo, Zhejiang, China
- China Innovation Instrument Co., Ltd, Ningbo, Zhejiang, China
| | - Ahsan Habib
- The Research Institute of Advanced Technologies, Ningbo University, Ningbo, Zhejiang, China
- Department of Chemistry, University of Dhaka, Dhaka, Bangladesh
| | - Wei Xiong
- The Research Institute of Advanced Technologies, Ningbo University, Ningbo, Zhejiang, China
- China Innovation Instrument Co., Ltd, Ningbo, Zhejiang, China
| | - La Chen
- The Research Institute of Advanced Technologies, Ningbo University, Ningbo, Zhejiang, China
- China Innovation Instrument Co., Ltd, Ningbo, Zhejiang, China
| | - Lei Bi
- The Research Institute of Advanced Technologies, Ningbo University, Ningbo, Zhejiang, China
- China Innovation Instrument Co., Ltd, Ningbo, Zhejiang, China
| | - Luhong Wen
- The Research Institute of Advanced Technologies, Ningbo University, Ningbo, Zhejiang, China
- China Innovation Instrument Co., Ltd, Ningbo, Zhejiang, China
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Gularyan SK, Gulin AA, Anufrieva KS, Shender VO, Shakhparonov MI, Bastola S, Antipova NV, Kovalenko TF, Rubtsov YP, Latyshev YA, Potapov AA, Pavlyukov MS. Investigation of Inter- and Intratumoral Heterogeneity of Glioblastoma Using TOF-SIMS. Mol Cell Proteomics 2020; 19:960-970. [PMID: 32265293 PMCID: PMC7261812 DOI: 10.1074/mcp.ra120.001986] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2020] [Revised: 04/06/2020] [Indexed: 11/06/2022] Open
Abstract
Glioblastoma (GBM) is one of the most aggressive human cancers with a median survival of less than two years. A distinguishing pathological feature of GBM is a high degree of inter- and intratumoral heterogeneity. Intertumoral heterogeneity of GBM has been extensively investigated on genomic, methylomic, transcriptomic, proteomic and metabolomics levels, however only a few studies describe intratumoral heterogeneity because of the lack of methods allowing to analyze GBM samples with high spatial resolution. Here, we applied TOF-SIMS (Time-of-flight secondary ion mass spectrometry) for the analysis of single cells and clinical samples such as paraffin and frozen tumor sections obtained from 57 patients. We developed a technique that allows us to simultaneously detect the distribution of proteins and metabolites in glioma tissue with 800 nm spatial resolution. Our results demonstrate that according to TOF-SIMS data glioma samples can be subdivided into clinically relevant groups and distinguished from the normal brain tissue. In addition, TOF-SIMS was able to elucidate differences between morphologically distinct regions of GBM within the same tumor. By staining GBM sections with gold-conjugated antibodies against Caveolin-1 we could visualize border between zones of necrotic and cellular tumor and subdivide glioma samples into groups characterized by different survival of the patients. Finally, we demonstrated that GBM contains cells that are characterized by high levels of Caveolin-1 protein and cholesterol. This population may partly represent a glioma stem cells. Collectively, our results show that the technique described here allows to analyze glioma tissues with a spatial resolution beyond reach of most of other omics approaches and the obtained data may be used to predict clinical behavior of the tumor.
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Affiliation(s)
- Samvel K Gularyan
- N.N. Semenov Federal Research Center for Chemical Physics, Moscow, Russia
| | - Alexander A Gulin
- N.N. Semenov Federal Research Center for Chemical Physics, Moscow, Russia; Department of Chemistry, Lomonosov Moscow State University, Moscow Russia
| | - Ksenia S Anufrieva
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia; Moscow Institute of Physics and Technology, Moscow Region, Russia
| | - Victoria O Shender
- Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Federal Research and Clinical Center of Physical-Chemical Medicine of Federal Medical Biological Agency, Moscow, Russia; Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia
| | | | - Soniya Bastola
- Department of Neurosurgery, University of Alabama at Birmingham, Wallace Tumor Institute, Birmingham, Alabama
| | | | | | - Yury P Rubtsov
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia
| | - Yaroslav A Latyshev
- Federal State Autonomous Institution, N.N. Burdenko National Medical Research Center of Neurosurgery, Moscow, Russia
| | - Alexander A Potapov
- Federal State Autonomous Institution, N.N. Burdenko National Medical Research Center of Neurosurgery, Moscow, Russia
| | - Marat S Pavlyukov
- Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia.
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Yoon S, Lee TG. Biological tissue sample preparation for time-of-flight secondary ion mass spectrometry (ToF-SIMS) imaging. NANO CONVERGENCE 2018; 5:24. [PMID: 30467706 PMCID: PMC6153193 DOI: 10.1186/s40580-018-0157-y] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2018] [Accepted: 09/05/2018] [Indexed: 05/03/2023]
Abstract
Time-of-flight secondary ion mass spectrometry (ToF-SIMS) imaging is an analytical technique rapidly expanding in use in biological studies. This technique is based on high spatial resolution (50-100 nm), high surface sensitivity (1-2 nm top-layer), and statistical analytic power. In mass spectrometry imaging (MSI), sample preparation is a crucial step to maintaining the natural state of the biomolecules and providing accurate spatial information. However, a number of problems associated with temperature changes in tissue samples such as loss of original distribution due to undesired molecular migration during the sample preparation or reduced ionization efficiency make it difficult to accurately perform MSI. Although frozen hydrate analysis is the ideal sample preparation method to eliminate the effects of temperature, this approach is hindered by mechanical limitations. Alternatively, an adhesive-tape-supported mounting and freeze-drying preparation has been proposed. This paper provides a concise review of the sample preparation procedures, a review of current issues, and proposes efficacious solutions for ToF-SIMS imaging in biological research.
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Affiliation(s)
- Sohee Yoon
- Center for Nano-Bio Measurement, Korea Research Institute of Standards and Science (KRISS), Daejeon, 34113 Republic of Korea
| | - Tae Geol Lee
- Center for Nano-Bio Measurement, Korea Research Institute of Standards and Science (KRISS), Daejeon, 34113 Republic of Korea
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Madiona RM, Welch NG, Russell SB, Winkler DA, Scoble JA, Muir BW, Pigram PJ. Multivariate analysis of ToF-SIMS data using mass segmented peak lists. SURF INTERFACE ANAL 2018. [DOI: 10.1002/sia.6462] [Citation(s) in RCA: 17] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- Robert M.T. Madiona
- Centre for Materials and Surface Science and Department of Chemistry and Physics, School of Molecular Sciences; La Trobe University; Melbourne VIC 3086 Australia
- CSIRO Manufacturing; Clayton VIC 3168 Australia
| | - Nicholas G. Welch
- Centre for Materials and Surface Science and Department of Chemistry and Physics, School of Molecular Sciences; La Trobe University; Melbourne VIC 3086 Australia
- CSIRO Manufacturing; Clayton VIC 3168 Australia
| | - Stephanie B. Russell
- Centre for Materials and Surface Science and Department of Chemistry and Physics, School of Molecular Sciences; La Trobe University; Melbourne VIC 3086 Australia
| | - David A. Winkler
- CSIRO Manufacturing; Clayton VIC 3168 Australia
- Department of Biochemistry and Genetics, School of Molecular Sciences; La Trobe University; Bundoora VIC 3086 Australia
- Monash Institute of Pharmaceutical Sciences; Monash University; Parkville 3052 Australia
- School of Pharmacy; University of Nottingham; Nottingham NG7 2RD UK
| | | | | | - Paul J. Pigram
- Centre for Materials and Surface Science and Department of Chemistry and Physics, School of Molecular Sciences; La Trobe University; Melbourne VIC 3086 Australia
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Molecular depth profiling on rat brain tissue sections prepared using different sampling methods. Biointerphases 2018; 13:03B411. [PMID: 29495661 DOI: 10.1116/1.5019611] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Brain imaging using time-of-flight secondary ion mass spectrometry (ToF-SIMS) has been reported to produce the distorted biomolecular distributions due to the cholesterol-induced matrix effect when cholesterol migrates to the surface, particularly in white matter, which contains a high level of cholesterol. Frozen-hydrated analysis has been used to inhibit the movement of cholesterol in the brain. In this paper, the authors propose new sample preparation and drying methods that can be used to obtain accurate biomolecular images at room temperature, instead of frozen-hydrated analysis using liquid-nitrogen, which must be continuously supplied to maintain the sample at -160 °C during the experiment. The rat brain prepared by the tape-supporting method on a precooled (-20 °C) stainless steel plate was freeze-dried in a load-lock chamber of ToF-SIMS for about an hour and moved directly to the main chamber. Using this preparation method, the authors found that cholesterol did not migrate to the surface in the corpus callosum (white matter) of the rat brain and sulfatide-related signals obtained from the cerebellum were not reduced in white matter. Our tape-supporting and freeze-drying sampling method for brain tissues could be a useful tool to study important metabolites of neurodegenerative diseases.
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Lee H, Chae S, Park J, Bae J, Go EB, Kim SJ, Kim H, Hwang D, Lee SW, Lee SY. Comprehensive Proteome Profiling of Platelet Identified a Protein Profile Predictive of Responses to An Antiplatelet Agent Sarpogrelate. Mol Cell Proteomics 2016; 15:3461-3472. [PMID: 27601597 DOI: 10.1074/mcp.m116.059154] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2016] [Indexed: 01/25/2023] Open
Abstract
Sarpogrelate is an antiplatelet agent widely used to treat arterial occlusive diseases. Evaluation of platelet aggregation is essential to monitor therapeutic effects of sarpogrelate. Currently, no molecular signatures are available to evaluate platelet aggregation. Here, we performed comprehensive proteome profiling of platelets collected from 18 subjects before and after sarpogrelate administration using LC-MS/MS analysis coupled with extensive fractionation. Of 5423 proteins detected, we identified 499 proteins affected by sarpogrelate and found that they strongly represented cellular processes related to platelet activation and aggregation, including cell activation, coagulation, and vesicle-mediated transports. Based on the network model of the proteins involved in these processes, we selected three proteins (cut-like homeobox 1; coagulation factor XIII, B polypeptide; and peptidylprolyl isomerase D) that reflect the platelet aggregation-related processes after confirming their alterations by sarpogrelate in independent samples using Western blotting. Our proteomic approach provided a protein profile predictive of therapeutic effects of sarpogrelate.
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Affiliation(s)
- Hangyeore Lee
- From the ‡Department of Chemistry, Research Institute for Natural Sciences, Korea University, Seoul, 02841, Republic of Korea
| | - Sehyun Chae
- §Department of New Biology and Center for Plant Aging Research, Institute for Basic Science, Daegu Gyeongbuk Institute of Science and Technology, Daegu, 42988, Republic of Korea
| | - Jisook Park
- ¶Department of Laboratory Medicine & Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Republic of Korea.,‖Samsung Biomedical Research Institute, Samsung Medical Center, Seoul, 06351, Republic of Korea
| | - Jingi Bae
- From the ‡Department of Chemistry, Research Institute for Natural Sciences, Korea University, Seoul, 02841, Republic of Korea
| | - Eun-Bi Go
- ‖Samsung Biomedical Research Institute, Samsung Medical Center, Seoul, 06351, Republic of Korea
| | - Su-Jin Kim
- From the ‡Department of Chemistry, Research Institute for Natural Sciences, Korea University, Seoul, 02841, Republic of Korea
| | - Hokeun Kim
- From the ‡Department of Chemistry, Research Institute for Natural Sciences, Korea University, Seoul, 02841, Republic of Korea
| | - Daehee Hwang
- §Department of New Biology and Center for Plant Aging Research, Institute for Basic Science, Daegu Gyeongbuk Institute of Science and Technology, Daegu, 42988, Republic of Korea;
| | - Sang-Won Lee
- From the ‡Department of Chemistry, Research Institute for Natural Sciences, Korea University, Seoul, 02841, Republic of Korea;
| | - Soo-Youn Lee
- ¶Department of Laboratory Medicine & Genetics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, 06351, Republic of Korea;
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Multi-dimensional TOF-SIMS analysis for effective profiling of disease-related ions from the tissue surface. Sci Rep 2015; 5:11077. [PMID: 26046669 PMCID: PMC4457153 DOI: 10.1038/srep11077] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2014] [Accepted: 05/13/2015] [Indexed: 12/12/2022] Open
Abstract
Time-of-flight secondary ion mass spectrometry (TOF-SIMS) emerges as a promising tool to identify the ions (small molecules) indicative of disease states from the surface of patient tissues. In TOF-SIMS analysis, an enhanced ionization of surface molecules is critical to increase the number of detected ions. Several methods have been developed to enhance ionization capability. However, how these methods improve identification of disease-related ions has not been systematically explored. Here, we present a multi-dimensional SIMS (MD-SIMS) that combines conventional TOF-SIMS and metal-assisted SIMS (MetA-SIMS). Using this approach, we analyzed cancer and adjacent normal tissues first by TOF-SIMS and subsequently by MetA-SIMS. In total, TOF- and MetA-SIMS detected 632 and 959 ions, respectively. Among them, 426 were commonly detected by both methods, while 206 and 533 were detected uniquely by TOF- and MetA-SIMS, respectively. Of the 426 commonly detected ions, 250 increased in their intensities by MetA-SIMS, whereas 176 decreased. The integrated analysis of the ions detected by the two methods resulted in an increased number of discriminatory ions leading to an enhanced separation between cancer and normal tissues. Therefore, the results show that MD-SIMS can be a useful approach to provide a comprehensive list of discriminatory ions indicative of disease states.
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Kim SH, Shon HK, Lee TG, Han SY. Thin film surfaces suitable to multimodal ionization for TOF-SIMS and LDI mass spectrometry of biomolecules. SURF INTERFACE ANAL 2014. [DOI: 10.1002/sia.5515] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023]
Affiliation(s)
- Shin Hye Kim
- Center for Nano-Bio Convergence; Korea Research Institute of Standards and Science; Daejeon 305-340 Republic of Korea
- Department of Chemistry; Chungnam National University; Daejeon 305-764 Republic of Korea
| | - Hyun Kyong Shon
- Center for Nano-Bio Convergence; Korea Research Institute of Standards and Science; Daejeon 305-340 Republic of Korea
| | - Tae Geol Lee
- Center for Nano-Bio Convergence; Korea Research Institute of Standards and Science; Daejeon 305-340 Republic of Korea
| | - Sang Yun Han
- Department of Nanochemistry; Gachon University; Seongnam-si Gyeonggi-do 461-701 Republic of Korea
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Shon HK, Cho YL, Lim CS, Choi JS, Chung SJ, Lee TG. ToF-SIMS analysis of diadenosine triphosphate and didadenosine tetraphosphate using bismuth and argon cluster ion beams. SURF INTERFACE ANAL 2014. [DOI: 10.1002/sia.5514] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
Affiliation(s)
- Hyun Kyong Shon
- Center for Nano-Bio Convergence; Korea Research Institute of Standards and Science; Daejeon 305-340 Republic of Korea
| | - Young-Lai Cho
- Center for Nano-Bio Convergence; Korea Research Institute of Standards and Science; Daejeon 305-340 Republic of Korea
- Department of Chemistry; Dongguk University; Seoul 100-715 Republic of Korea
| | - Choung Su Lim
- Center for Nano-Bio Convergence; Korea Research Institute of Standards and Science; Daejeon 305-340 Republic of Korea
- Department of Biochemistry; Chungnam National University; Daejeon 305-764 Republic of Korea
| | - Joon Sig Choi
- Department of Biochemistry; Chungnam National University; Daejeon 305-764 Republic of Korea
| | - Sang J. Chung
- Department of Chemistry; Dongguk University; Seoul 100-715 Republic of Korea
| | - Tae Geol Lee
- Center for Nano-Bio Convergence; Korea Research Institute of Standards and Science; Daejeon 305-340 Republic of Korea
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