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Yang C, Wu R, Liu H, Qin L, Chen L, Xu H, Hu H, Li J, Guo H, Shi Y, Jiang D, Hao Q, Feng J, Zhou Y, Liu X, Li G, Wang X. Polyacrylamide gel as a new embedding medium for the enhancement of metabolite MALDI imaging. Chem Commun (Camb) 2023; 59:3842-3845. [PMID: 36883606 DOI: 10.1039/d2cc07075h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
Abstract
In this study, polyacrylamide gel (PAAG) was successfully used as a new embedding medium to provide the more effective maintenance of biological tissues during the sectioning process, enhancing the tissue imaging of metabolites via matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI). Herein, PAAG, agarose, gelatin, optimal cutting temperature compound (OCT), and ice media were used to embed rat liver and Atlantic salmon (Salmo salar) eyeball samples. These embedded tissues were then sectioned into thin slices and thaw-mounted on conductive microscope glass slides for MALDI-MSI detection to evaluate the embedding effects. The results showed that PAAG embedding has characteristics superior to those of commonly-used embedding media (e.g., agarose, gelatin, OCT, and ice) with the advantages of one-step operation without heating, a better performance of morphology maintenance, the absence of PAAG polymer-ion-related interference below m/z 2000, and the more efficient in situ ionization of metabolites, providing a significant enhancement of both the numbers and intensities of the metabolite ion signals. Our study demonstrates the potential of PAAG embedding as a standard practice for metabolite MALDI tissue imaging, which will lead to an expanded application scope of MALDI-MSI.
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Affiliation(s)
- Chenyu Yang
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics, Minzu University of China, State Ethnic Affairs Commission, Beijing, 100081, China. .,Centre for Imaging & Systems Biology, College of Life and Environmental Sciences, Minzu University of China, Beijing, 100081, China
| | - Ran Wu
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics, Minzu University of China, State Ethnic Affairs Commission, Beijing, 100081, China. .,Centre for Imaging & Systems Biology, College of Life and Environmental Sciences, Minzu University of China, Beijing, 100081, China
| | - Haiqiang Liu
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics, Minzu University of China, State Ethnic Affairs Commission, Beijing, 100081, China. .,Centre for Imaging & Systems Biology, College of Life and Environmental Sciences, Minzu University of China, Beijing, 100081, China
| | - Liang Qin
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics, Minzu University of China, State Ethnic Affairs Commission, Beijing, 100081, China. .,Centre for Imaging & Systems Biology, College of Life and Environmental Sciences, Minzu University of China, Beijing, 100081, China
| | - Lulu Chen
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics, Minzu University of China, State Ethnic Affairs Commission, Beijing, 100081, China. .,Centre for Imaging & Systems Biology, College of Life and Environmental Sciences, Minzu University of China, Beijing, 100081, China
| | - Hualei Xu
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics, Minzu University of China, State Ethnic Affairs Commission, Beijing, 100081, China. .,Centre for Imaging & Systems Biology, College of Life and Environmental Sciences, Minzu University of China, Beijing, 100081, China
| | - Hao Hu
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics, Minzu University of China, State Ethnic Affairs Commission, Beijing, 100081, China. .,Centre for Imaging & Systems Biology, College of Life and Environmental Sciences, Minzu University of China, Beijing, 100081, China
| | - Jinrong Li
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics, Minzu University of China, State Ethnic Affairs Commission, Beijing, 100081, China. .,Centre for Imaging & Systems Biology, College of Life and Environmental Sciences, Minzu University of China, Beijing, 100081, China
| | - Hua Guo
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics, Minzu University of China, State Ethnic Affairs Commission, Beijing, 100081, China. .,Centre for Imaging & Systems Biology, College of Life and Environmental Sciences, Minzu University of China, Beijing, 100081, China
| | - Yiyang Shi
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics, Minzu University of China, State Ethnic Affairs Commission, Beijing, 100081, China. .,Centre for Imaging & Systems Biology, College of Life and Environmental Sciences, Minzu University of China, Beijing, 100081, China
| | - Dongxu Jiang
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics, Minzu University of China, State Ethnic Affairs Commission, Beijing, 100081, China. .,Centre for Imaging & Systems Biology, College of Life and Environmental Sciences, Minzu University of China, Beijing, 100081, China
| | - Qichen Hao
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics, Minzu University of China, State Ethnic Affairs Commission, Beijing, 100081, China. .,Centre for Imaging & Systems Biology, College of Life and Environmental Sciences, Minzu University of China, Beijing, 100081, China
| | - Jinchao Feng
- Centre for Imaging & Systems Biology, College of Life and Environmental Sciences, Minzu University of China, Beijing, 100081, China
| | - Yijun Zhou
- Centre for Imaging & Systems Biology, College of Life and Environmental Sciences, Minzu University of China, Beijing, 100081, China
| | - Xiangyi Liu
- Department of Laboratory Medicine, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China.
| | - Gaopeng Li
- General Surgery Department, Shanxi Bethune Hospital, Taiyun, 030032, China.
| | - Xiaodong Wang
- Key Laboratory of Mass Spectrometry Imaging and Metabolomics, Minzu University of China, State Ethnic Affairs Commission, Beijing, 100081, China. .,Centre for Imaging & Systems Biology, College of Life and Environmental Sciences, Minzu University of China, Beijing, 100081, China
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Jiang H, Zhang Y, Liu Z, Wang X, He J, Jin H. Advanced applications of mass spectrometry imaging technology in quality control and safety assessments of traditional Chinese medicines. JOURNAL OF ETHNOPHARMACOLOGY 2022; 284:114760. [PMID: 34678417 PMCID: PMC9715987 DOI: 10.1016/j.jep.2021.114760] [Citation(s) in RCA: 22] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 10/05/2021] [Accepted: 10/18/2021] [Indexed: 05/13/2023]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE Traditional Chinese medicines (TCMs) have made great contributions to the prevention and treatment of human diseases in China, and especially in cases of COVID-19. However, due to quality problems, the lack of standards, and the diversity of dosage forms, adverse reactions to TCMs often occur. Moreover, the composition of TCMs makes them extremely challenging to extract and isolate, complicating studies of toxicity mechanisms. AIM OF THE REVIEW The aim of this paper is therefore to summarize the advanced applications of mass spectrometry imaging (MSI) technology in the quality control, safety evaluations, and determination of toxicity mechanisms of TCMs. MATERIALS AND METHODS Relevant studies from the literature have been collected from scientific databases, such as "PubMed", "Scifinder", "Elsevier", "Google Scholar" using the keywords "MSI", "traditional Chinese medicines", "quality control", "metabolomics", and "mechanism". RESULTS MSI is a new analytical imaging technology that can detect and image the metabolic changes of multiple components of TCMs in plants and animals in a high throughput manner. Compared to other chemical analysis methods, such as liquid chromatography-mass spectrometry (LC-MS), this method does not require the complex extraction and separation of TCMs, and is fast, has high sensitivity, is label-free, and can be performed in high-throughput. Combined with chemometrics methods, MSI can be quickly and easily used for quality screening of TCMs. In addition, this technology can be used to further focus on potential biomarkers and explore the therapeutic/toxic mechanisms of TCMs. CONCLUSIONS As a new type of analysis method, MSI has unique advantages to metabolic analysis, quality control, and mechanisms of action explorations of TCMs, and contributes to the establishment of quality standards to explore the safety and toxicology of TCMs.
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Affiliation(s)
- Haiyan Jiang
- New Drug Safety Evaluation Center, Institute of Materia Medica, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, China
| | - Yaxin Zhang
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, China
| | - Zhigang Liu
- School of Biological Science and Engineering, South China University of Technology, Guangzhou, 510006, China
| | - Xiangyi Wang
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, China
| | - Jiuming He
- State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, China; NMPA Key Laboratory for Safety Research and Evaluation of Innovative Drug, Beijing 100050, China.
| | - Hongtao Jin
- New Drug Safety Evaluation Center, Institute of Materia Medica, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100050, China; Beijing Union-Genius Pharmaceutical Technology Development Co., Ltd., Beijing 100176, China; NMPA Key Laboratory for Safety Research and Evaluation of Innovative Drug, Beijing 100050, China.
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Hu W, Nie H, Wang Y, Li N, Di S, Pan Q, Liu J, Han Y. Tracing the migration and transformation of metabolites in xylem during wood growth by mass spectrometry imaging. Analyst 2022; 147:1551-1558. [DOI: 10.1039/d1an02251b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022]
Abstract
MALDI MSI was used to explore the rule of metabolite migration and transformation for the first time. The rules of heartwood formation and resin secretion were visualized and fully explored.
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Affiliation(s)
- Wenya Hu
- State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Beijing 102249, P. R. China
| | - Honggang Nie
- Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China
| | - Yinghao Wang
- State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Beijing 102249, P. R. China
| | - Na Li
- Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China
| | - Shuangshuang Di
- Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing 100871, China
| | - Qiong Pan
- State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Beijing 102249, P. R. China
| | - Jikun Liu
- State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Beijing 102249, P. R. China
| | - Yehua Han
- State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Beijing 102249, P. R. China
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Hu W, Han Y, Sheng Y, Wang Y, Pan Q, Nie H. Mass spectrometry imaging for direct visualization of components in plants tissues. J Sep Sci 2021; 44:3462-3476. [PMID: 34245221 DOI: 10.1002/jssc.202100138] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 06/09/2021] [Accepted: 07/08/2021] [Indexed: 12/12/2022]
Abstract
Mass spectrometry is considered the most informative technique for components identification and has been widely adopted in plant sciences. However, the spatial distribution of compounds in the plant, which is vital for the exploration of plant physiological mechanisms, is missed in MS analysis. In recent years, mass spectrometry imaging has brought a great breakthrough in plant analysis because it can determine both the molecular compositions and spatial distributions, which is conducive to understand functions and regulation pathways of specific components in plants. Mass spectrometry imaging analysis of plant tissue is toward high sensitivity, high spatial resolution, and even single-cell analysis. Despite many challenges and technical barriers, such as difficulties of sample pretreatment caused by morphological diversity of plant tissues, obstacles for high spatial resolution imaging, and so on, lots of researches have contributed to remarkable progress, including improvement in tissue preparation, matrix innovation, and ionization mode development. This review focuses on the advances of mass spectrometry imaging analysis of plants in the last 5 years, including commonly used ionization techniques, technical advances, and recent applications of mass spectrometry imaging in plants.
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Affiliation(s)
- Wenya Hu
- State Key Laboratory of Heavy Oil Processing, College of Chemical Engineering and Environment, China University of Petroleum-Beijing, Beijing, P. R. China
| | - Yehua Han
- State Key Laboratory of Heavy Oil Processing, College of Chemical Engineering and Environment, China University of Petroleum-Beijing, Beijing, P. R. China
| | - Yiqi Sheng
- State Key Laboratory of Heavy Oil Processing, College of Chemical Engineering and Environment, China University of Petroleum-Beijing, Beijing, P. R. China
| | - Yinghao Wang
- State Key Laboratory of Heavy Oil Processing, College of Chemical Engineering and Environment, China University of Petroleum-Beijing, Beijing, P. R. China
| | - Qiong Pan
- State Key Laboratory of Heavy Oil Processing, College of Chemical Engineering and Environment, China University of Petroleum-Beijing, Beijing, P. R. China
| | - Honggang Nie
- Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing, P. R. China
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Zhan L, Huang X, Xue J, Liu H, Xiong C, Wang J, Nie Z. MALDI-TOF/TOF tandem mass spectrometry imaging reveals non-uniform distribution of disaccharide isomers in plant tissues. Food Chem 2020; 338:127984. [PMID: 33092001 DOI: 10.1016/j.foodchem.2020.127984] [Citation(s) in RCA: 27] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2020] [Revised: 08/20/2020] [Accepted: 08/31/2020] [Indexed: 12/11/2022]
Abstract
Mass spectrometry imaging (MSI) is a powerful technique for investigating the biomolecular locations within tissues. However, the isomeric compounds are rarely distinguished due to inability of MSI to differentiate isomers in the probing area. Coupling tandem mass spectrometry with MSI can facilitate differentiating isomeric compounds. Here MALDI-TOF/TOF tandem mass spectrometry imaging approach was applied to probing the spatial distributions of isomeric disaccharides in plant tissues. First, MS/MS imaging analysis of disaccharide-matrix droplet spots demonstrated the feasibility of distinguishing isomeric species in tissues, by measuring the relative intensity of specific fragments. Then, tandem MS imaging of disaccharides in onion bulb tissues indicated that sucrose and other unknown non-sucrose disaccharides exhibit heterogeneous locations throughout the tissues. This method enables us to image disaccharide isomers differentially in biological tissues, and to discover new saccharide species in plant. This work also emphasizes the necessity of considering isobaric compounds when interpreting MSI results.
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Affiliation(s)
- Lingpeng Zhan
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Xi Huang
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Jinjuan Xue
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Huihui Liu
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China.
| | - Caiqiao Xiong
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China.
| | - Jiyun Wang
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China.
| | - Zongxiu Nie
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China; National Center for Mass Spectrometry in Beijing, Beijing 100190, China.
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