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Yang Q, Liu C, Qi K, Xiong Y, Pan Y, Tian C. Imaging and quantification of neuropeptides in mouse pituitary tissue by atmospheric pressure matrix-assisted laser desorption/ionization mass spectrometry. Rapid Commun Mass Spectrom 2024; 38:e9755. [PMID: 38600731 DOI: 10.1002/rcm.9755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/04/2024] [Revised: 03/21/2024] [Accepted: 03/21/2024] [Indexed: 04/12/2024]
Abstract
RATIONALE Atmospheric pressure matrix-assisted laser desorption/ionization (AP-MALDI) mass spectrometry has enabled the untargeted analysis and imaging of neuropeptides and proteins in biological tissues under ambient conditions. Sensitivity in AP-MALDI can be improved by using sample-specific preparation methods. METHODS A comprehensive and detailed optimization strategy including instrument parameters, matrix spraying and sample tissue washing pretreatment was implemented to enhance the sensitivity and coverage of neuropeptides in mouse pituitary tissues by commercial AP-MALDI mass spectrometry imaging (MSI). RESULTS The sensitivity of a commercial AP-MALDI system for endogenous neuropeptides in mouse pituitary was enhanced by up to 15.2-fold by shortening the transmission gap from the sample plate to the inlet, attaching copper adhesive tape to an indium tin oxide-coated glass slide, optimizing the matrix spray solvent and using sample tissue washing pretreatment. Following careful optimization, the distributions of nine endogenous neuropeptides were successfully visualized in the pituitary. Furthermore, the quantitative capability of AP-MALDI for neuropeptides was evaluated and the concentrations of neuropeptides oxytocin and vasopressin in the pituitary posterior lobe were increased approximately twofold under hypertonic saline stress. CONCLUSION Mouse pituitary neuropeptides have emerged as important signaling molecules due to their role in stress response. This work indicates the potential of modified AP-MALDI as a promising AP MSI method for in situ visualization and quantification of neuropeptides in complex biological tissues.
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Affiliation(s)
- Qi Yang
- Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Chengyuan Liu
- National Synchrotron Radiation Laboratory, University of Science and Technology of China, Hefei, China
| | - Keke Qi
- National Synchrotron Radiation Laboratory, University of Science and Technology of China, Hefei, China
- High Magnetic Field Laboratory, Chinese Academy of Sciences, Hefei, China
| | - Ying Xiong
- Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
| | - Yang Pan
- National Synchrotron Radiation Laboratory, University of Science and Technology of China, Hefei, China
| | - Changlin Tian
- Life Sciences and Medicine, University of Science and Technology of China, Hefei, China
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2
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Ozdemir A, Lin JL, Gulfen M, Chen CH. Advancing mass spectrometry-based chemical imaging: A noncontact continuous flow surface probe in mass spectrometry for enhanced signal detection and spatial resolution. Talanta 2024; 273:125858. [PMID: 38442563 DOI: 10.1016/j.talanta.2024.125858] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2023] [Revised: 02/26/2024] [Accepted: 02/28/2024] [Indexed: 03/07/2024]
Abstract
A new method has been developed for mass spectrometric imaging of small molecules and proteins on tissue or in thinly sliced materials. A laser desorption Venturi electrospray ionization-mass spectrometer was developed for molecular imaging. This method combines laser desorption (LD) and electrospray ionization (ESI) systems before a mass spectrometer (MS). To carry out laser desorption, samples are excited with a laser from the back side of a glass substrate. The desorbed molecules or particles are then captured by a solvent flow. In the ESI system, these desorbed particles and molecules are ionized. The spray part of the solvent system consists of two capillaries: one delivers solvent to the sample plate sides to capture desorbed molecules and particles, and the other carries the solution to the mass spectrometry side using the Venturi effect. A 2D stage facilitates sampling. The system is designed to minimize the sample size after desorption using a 355 nm diode laser, and it is optimized for molecules of various sizes, including organic molecules, amino acids, and proteins. Despite challenging atmospheric conditions for protein desorption, this specialized design enables the collection of protein spectra. The amino acids and other small molecules showed high sensitivity in the MSI measurements. This innovative MS imaging system can be directly applied to real tissue systems and other plant samples to visualize the molecular level distributions.
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Affiliation(s)
- Abdil Ozdemir
- Department of Chemistry, Faculty of Science, Sakarya University, 54187, Esentepe, Sakarya, Turkey.
| | - Jung-Lee Lin
- Genomics Research Center, Academia Sinica, Taipei, Taiwan
| | - Mustafa Gulfen
- Department of Chemistry, Faculty of Science, Sakarya University, 54187, Esentepe, Sakarya, Turkey
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Prentice BM. Imaging with mass spectrometry: Which ionization technique is best? J Mass Spectrom 2024; 59:e5016. [PMID: 38625003 DOI: 10.1002/jms.5016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/12/2024] [Revised: 02/07/2024] [Accepted: 02/21/2024] [Indexed: 04/17/2024]
Abstract
The use of mass spectrometry (MS) to acquire molecular images of biological tissues and other substrates has developed into an indispensable analytical tool over the past 25 years. Imaging mass spectrometry technologies are widely used today to study the in situ spatial distributions for a variety of analytes. Early MS images were acquired using secondary ion mass spectrometry and matrix-assisted laser desorption/ionization. Researchers have also designed and developed other ionization techniques in recent years to probe surfaces and generate MS images, including desorption electrospray ionization (DESI), nanoDESI, laser ablation electrospray ionization, and infrared matrix-assisted laser desorption electrospray ionization. Investigators now have a plethora of ionization techniques to select from when performing imaging mass spectrometry experiments. This brief perspective will highlight the utility and relative figures of merit of these techniques within the context of their use in imaging mass spectrometry.
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Affiliation(s)
- Boone M Prentice
- Department of Chemistry, University of Florida, Gainesville, Florida, USA
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Chadha R, Guerrero JA, Wei L, Sanchez LM. Seeing is Believing: Developing Multimodal Metabolic Insights at the Molecular Level. ACS Cent Sci 2024; 10:758-774. [PMID: 38680555 PMCID: PMC11046475 DOI: 10.1021/acscentsci.3c01438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 02/16/2024] [Accepted: 02/20/2024] [Indexed: 05/01/2024]
Abstract
This outlook explores how two different molecular imaging approaches might be combined to gain insight into dynamic, subcellular metabolic processes. Specifically, we discuss how matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) and stimulated Raman scattering (SRS) microscopy, which have significantly pushed the boundaries of imaging metabolic and metabolomic analyses in their own right, could be combined to create comprehensive molecular images. We first briefly summarize the recent advances for each technique. We then explore how one might overcome the inherent limitations of each individual method, by envisioning orthogonal and interchangeable workflows. Additionally, we delve into the potential benefits of adopting a complementary approach that combines both MSI and SRS spectro-microscopy for informing on specific chemical structures through functional-group-specific targets. Ultimately, by integrating the strengths of both imaging modalities, researchers can achieve a more comprehensive understanding of biological and chemical systems, enabling precise metabolic investigations. This synergistic approach holds substantial promise to expand our toolkit for studying metabolites in complex environments.
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Affiliation(s)
- Rahuljeet
S Chadha
- Division
of Chemistry and Chemical Engineering, California
Institute of Technology, Pasadena, California 91125 United States
| | - Jason A. Guerrero
- Department
of Chemistry and Biochemistry, University
of California, Santa Cruz, Santa
Cruz, California 95064 United States
| | - Lu Wei
- Division
of Chemistry and Chemical Engineering, California
Institute of Technology, Pasadena, California 91125 United States
| | - Laura M. Sanchez
- Department
of Chemistry and Biochemistry, University
of California, Santa Cruz, Santa
Cruz, California 95064 United States
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Chen LC, Lee C, Hsu CC. Towards developing a matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI MSI) compatible tissue expansion protocol. Anal Chim Acta 2024; 1297:342345. [PMID: 38438227 DOI: 10.1016/j.aca.2024.342345] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2023] [Revised: 01/05/2024] [Accepted: 02/04/2024] [Indexed: 03/06/2024]
Abstract
Mass spectrometry imaging (MSI) visualizes spatial distribution of molecules in a biological tissue. However, compared with traditional microscopy-based imaging, conventional MSI is limited to its spatial resolution, resulting in difficulties in identifying detailed tissue morphological characters, such as lesion boundary or nanoscale structures. On the other hand, expansion microscopy, a tissue expansion method widely used in optical imaging to improve morphological details, has great potential to solve insufficient spatial resolution in mass spectrometry imaging (MSI). However, expansion microscopy was not originally designed for MSI, resulting in problems while combining expansion microscopy and MSI such as expanded sample fragility, vacuum stability and molecule loss during sample preparation. In this research we developed a MALDI MSI compatible expansion protocol by adjusting sample preparation methods during tissue expansion, successfully combining expansion microscopy with MSI. After tissue expansion the expanded sample can be readily applied to MALDI MSI sample preparation and further data acquisition. The MALDI MSI compatible expansion protocol has great potential to be widely applied in MALDI MSI sample preparation to facilitate improvement of MSI spatial resolution.
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Affiliation(s)
- Li-Cyun Chen
- Department of Chemistry, National Taiwan University, No.1, Sec. 4, Roosevelt Road, Taipei City, 106319, Taiwan.
| | - Chuping Lee
- Department of Chemistry, National Chung Hsing University, No.145, Xingda Rd., South Dist., Taichung City, 40227, Taiwan.
| | - Cheng-Chih Hsu
- Department of Chemistry, National Taiwan University, No.1, Sec. 4, Roosevelt Road, Taipei City, 106319, Taiwan.
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Ikeda T, Kotani M. Thin-section- and matrix-free mass spectrometry imaging: Reproducible sample transfer using novel platinum-coated porous plate formed of glass beads. Rapid Commun Mass Spectrom 2024; 38:e9697. [PMID: 38356087 DOI: 10.1002/rcm.9697] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/11/2023] [Revised: 10/07/2023] [Accepted: 12/12/2023] [Indexed: 02/16/2024]
Abstract
RATIONALE Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) typically requires sample preparation such as sectioning and spraying of the matrix. Sample transfer using a Pt-coated porous plate formed of glass beads simplifies preparation and enables reproducible MSI measurements. METHODS The surface of a sintered-glass-bead porous plate was coated with Pt on one side of the plate. Polymer additives and the cross-section of a strawberry were chosen as the sample and transferred to the Pt-coated surface of the plate. This process was completely thin-section- and matrix-free. The prepared plates were analyzed using a commercial MALDI time-of-flight instrument. RESULTS Several constituents of the polymer additives (Irgafos 168 and Irganox 1010) and strawberry metabolites (hexose, citric acid, and sucrose) were detected without organic matrices. These ion images were obtained with a special distribution of the retained constituents. Duplicate prepared plates using the same strawberry cross-section reproduced the ion images. CONCLUSIONS A sample transfer process using a Pt-coated porous plate formed of glass beads was demonstrated as an alternative preparation method for MSI. This process has the potential to simplify MSI preparation and achieve easily reproducible MSI measurements.
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Affiliation(s)
- Takamasa Ikeda
- Hamamatsu Photonics KK, Iwata, Shizuoka, Japan
- The Graduate School for the Creation of New Photonics Industries, Hamamatsu, Shizuoka, Japan
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Ma X, Fernández FM. Advances in mass spectrometry imaging for spatial cancer metabolomics. Mass Spectrom Rev 2024; 43:235-268. [PMID: 36065601 PMCID: PMC9986357 DOI: 10.1002/mas.21804] [Citation(s) in RCA: 29] [Impact Index Per Article: 29.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2022] [Revised: 08/02/2022] [Accepted: 08/02/2022] [Indexed: 05/09/2023]
Abstract
Mass spectrometry (MS) has become a central technique in cancer research. The ability to analyze various types of biomolecules in complex biological matrices makes it well suited for understanding biochemical alterations associated with disease progression. Different biological samples, including serum, urine, saliva, and tissues have been successfully analyzed using mass spectrometry. In particular, spatial metabolomics using MS imaging (MSI) allows the direct visualization of metabolite distributions in tissues, thus enabling in-depth understanding of cancer-associated biochemical changes within specific structures. In recent years, MSI studies have been increasingly used to uncover metabolic reprogramming associated with cancer development, enabling the discovery of key biomarkers with potential for cancer diagnostics. In this review, we aim to cover the basic principles of MSI experiments for the nonspecialists, including fundamentals, the sample preparation process, the evolution of the mass spectrometry techniques used, and data analysis strategies. We also review MSI advances associated with cancer research in the last 5 years, including spatial lipidomics and glycomics, the adoption of three-dimensional and multimodal imaging MSI approaches, and the implementation of artificial intelligence/machine learning in MSI-based cancer studies. The adoption of MSI in clinical research and for single-cell metabolomics is also discussed. Spatially resolved studies on other small molecule metabolites such as amino acids, polyamines, and nucleotides/nucleosides will not be discussed in the context.
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Affiliation(s)
- Xin Ma
- School of Chemistry and Biochemistry and Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia, USA
| | - Facundo M Fernández
- School of Chemistry and Biochemistry and Petit Institute for Bioengineering and Bioscience, Georgia Institute of Technology, Atlanta, Georgia, USA
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8
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Cao J, Martin-Lorenzo M, van Kuijk K, Wieland EB, Gijbels MJ, Claes BSR, Heredero A, Aldamiz-Echevarria G, Heeren RMA, Goossens P, Sluimer JC, Balluff B, Alvarez-Llamas G. Spatial Metabolomics Identifies LPC(18:0) and LPA(18:1) in Advanced Atheroma With Translation to Plasma for Cardiovascular Risk Estimation. Arterioscler Thromb Vasc Biol 2024; 44:741-754. [PMID: 38299357 DOI: 10.1161/atvbaha.123.320278] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Accepted: 01/16/2024] [Indexed: 02/02/2024]
Abstract
BACKGROUND The metabolic alterations occurring within the arterial architecture during atherosclerosis development remain poorly understood, let alone those particular to each arterial tunica. We aimed first to identify, in a spatially resolved manner, the specific metabolic changes in plaque, media, adventitia, and cardiac tissue between control and atherosclerotic murine aortas. Second, we assessed their translatability to human tissue and plasma for cardiovascular risk estimation. METHODS In this observational study, mass spectrometry imaging (MSI) was applied to identify region-specific metabolic differences between atherosclerotic (n=11) and control (n=11) aortas from low-density lipoprotein receptor-deficient mice, via histology-guided virtual microdissection. Early and advanced plaques were compared within the same atherosclerotic animals. Progression metabolites were further analyzed by MSI in 9 human atherosclerotic carotids and by targeted mass spectrometry in human plasma from subjects with elective coronary artery bypass grafting (cardiovascular risk group, n=27) and a control group (n=27). RESULTS MSI identified 362 local metabolic alterations in atherosclerotic mice (log2 fold-change ≥1.5; P≤0.05). The lipid composition of cardiac tissue is altered during atherosclerosis development and presents a generalized accumulation of glycerophospholipids, except for lysolipids. Lysolipids (among other glycerophospholipids) were found at elevated levels in all 3 arterial layers of atherosclerotic aortas. LPC(18:0) (lysophosphatidylcholine; P=0.024) and LPA(18:1) (lysophosphatidic acid; P=0.025) were found to be significantly elevated in advanced plaques as compared with mouse-matched early plaques. Higher levels of both lipid species were also observed in fibrosis-rich areas of advanced- versus early-stage human samples. They were found to be significantly reduced in human plasma from subjects with elective coronary artery bypass grafting (P<0.001 and P=0.031, respectively), with LPC(18:0) showing significant association with cardiovascular risk (odds ratio, 0.479 [95% CI, 0.225-0.883]; P=0.032) and diagnostic potential (area under the curve, 0.778 [95% CI, 0.638-0.917]). CONCLUSIONS An altered phospholipid metabolism occurs in atherosclerosis, affecting both the aorta and the adjacent heart tissue. Plaque-progression lipids LPC(18:0) and LPA(18:1), as identified by MSI on tissue, reflect cardiovascular risk in human plasma.
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Affiliation(s)
- Jianhua Cao
- Maastricht MultiModal Molecular Imaging institute, M4i, Maastricht University, the Netherlands (J.C., B.S.R.C., R.M.A.H., B.B.)
| | - Marta Martin-Lorenzo
- Immunology Department, IIS-Fundación Jiménez Díaz-UAM, Madrid, Spain (M.M.-L., G.A.-L.)
| | - Kim van Kuijk
- Department of Pathology, CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, the Netherlands (K.v.K., E.B.W., M.J.G., P.G., J.C.S.)
| | - Elias B Wieland
- Department of Pathology, CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, the Netherlands (K.v.K., E.B.W., M.J.G., P.G., J.C.S.)
| | - Marion J Gijbels
- Department of Pathology, CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, the Netherlands (K.v.K., E.B.W., M.J.G., P.G., J.C.S.)
- Department of Medical Biochemistry, Experimental Vascular Biology, Amsterdam Cardiovascular Sciences, Amsterdam Infection and Immunity, Amsterdam UMC, the Netherlands (M.J.G.)
| | - Britt S R Claes
- Maastricht MultiModal Molecular Imaging institute, M4i, Maastricht University, the Netherlands (J.C., B.S.R.C., R.M.A.H., B.B.)
| | - Angeles Heredero
- Cardiac Surgery Service, Fundación Jiménez Díaz University Hospital-UAM, Madrid, Spain (A.H., G.A.-E.)
| | | | - Ron M A Heeren
- Maastricht MultiModal Molecular Imaging institute, M4i, Maastricht University, the Netherlands (J.C., B.S.R.C., R.M.A.H., B.B.)
| | - Pieter Goossens
- Department of Pathology, CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, the Netherlands (K.v.K., E.B.W., M.J.G., P.G., J.C.S.)
| | - Judith C Sluimer
- Department of Pathology, CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, the Netherlands (K.v.K., E.B.W., M.J.G., P.G., J.C.S.)
- Centre for Cardiovascular Science, University of Edinburgh, United Kingdom (J.C.S.)
| | - Benjamin Balluff
- Maastricht MultiModal Molecular Imaging institute, M4i, Maastricht University, the Netherlands (J.C., B.S.R.C., R.M.A.H., B.B.)
| | - Gloria Alvarez-Llamas
- Immunology Department, IIS-Fundación Jiménez Díaz-UAM, Madrid, Spain (M.M.-L., G.A.-L.)
- RICORS2040, IIS-Fundación Jiménez Díaz, Madrid, Spain (G.A.-L.)
- Biochemistry and Molecular Biology Department, Complutense University, Madrid, Spain (G.A.-L.)
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Gorman BL, Torti SV, Torti FM, Anderton CR. Mass spectrometry imaging of metals in tissues and cells: Methods and biological applications. Biochim Biophys Acta Gen Subj 2024; 1868:130329. [PMID: 36791830 PMCID: PMC10423302 DOI: 10.1016/j.bbagen.2023.130329] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 01/24/2023] [Accepted: 02/08/2023] [Indexed: 02/16/2023]
Abstract
BACKGROUND Metals are pervasive throughout biological processes, where they play essential structural and catalytic roles. Metals can also exhibit deleterious effects on human health. Powerful analytical techniques, such as mass spectrometry imaging (MSI), are required to map metals due to their low concentrations within biological tissue. SCOPE OF REVIEW This Mini Review focuses on key MSI technology that can image metal distributions in situ, describing considerations for each technique (e.g., resolution, sensitivity, etc.). We highlight recent work using MSI for mapping trace metals in tissues, detecting metal-based drugs, and simultaneously imaging metals and biomolecules. MAJOR CONCLUSIONS MSI has enabled significant advances in locating bioactive metals at high spatial resolution and correlating their distributions with that of biomolecules. The use of metal-based immunochemistry has enabled simultaneous high-throughput protein and biomolecule imaging. GENERAL SIGNIFICANCE The techniques and examples described herein can be applied to many biological questions concerning the important biological roles of metals, metal toxicity, and localization of metal-based drugs.
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Affiliation(s)
- Brittney L Gorman
- Environmental Molecular Sciences Division, Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA 99352, United States of America
| | - Suzy V Torti
- Department of Molecular Biology and Biophysics, University of Connecticut Health Center, Farmington, CT 06030, United States of America
| | - Frank M Torti
- Department of Medicine, University of Connecticut Health Center, Farmington, CT 06030, United States of America
| | - Christopher R Anderton
- Environmental Molecular Sciences Division, Earth and Biological Sciences Directorate, Pacific Northwest National Laboratory, Richland, WA 99352, United States of America.
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Meng Y, Chiou AS, Aasi SZ, See NA, Song X, Zare RN. Noninvasive Detection of Skin Cancer by Imprint Desorption Electrospray Ionization Mass Spectrometry Imaging. Anal Chem 2024; 96:28-32. [PMID: 38155587 DOI: 10.1021/acs.analchem.3c04918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/30/2023]
Abstract
We report a technique for the noninvasive detection of skin cancer by imprint desorption electrospray ionization mass spectrometry imaging (DESI-MSI) using a transfer agent that is pressed against the tissue of interest. By noninvasively pressing a tape strip against human skin, metabolites, fatty acids, and lipids on the skin surface are transferred to the tape with little spatial distortion. Running DESI-MSI on the tape strip provides chemical images of the molecules on the skin surface, which are valuable for distinguishing cancer from healthy skin. Chemical components of the tissue imprint on the tape strip and the original basal cell carcinoma (BCC) section from the mass spectra show high consistency. By comparing MS images (about 150-μm resolution) of same molecules from the tape strip and from the BCC section, we confirm that chemical patterns are successfully transferred to the tape stripe. We also used the technique to distinguish cherry angiomas from normal human skin by comparing the molecular patterns from a tape strip. These results demonstrate the potential of the imprint DESI-MSI technique for the noninvasive detection of skin cancers as well as other skin diseases before and during clinical surgery.
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Affiliation(s)
- Yifan Meng
- Department of Chemistry, Stanford University, Stanford, California 94305, United States
| | - Albert S Chiou
- Department of Dermatology, Stanford University School of Medicine, Stanford, California 94305, United States
| | - Sumaira Z Aasi
- Department of Dermatology, Stanford University School of Medicine, Stanford, California 94305, United States
| | - Niki A See
- Department of Dermatology, Stanford University School of Medicine, Stanford, California 94305, United States
| | - Xiaowei Song
- Department of Chemistry, Stanford University, Stanford, California 94305, United States
| | - Richard N Zare
- Department of Chemistry, Stanford University, Stanford, California 94305, United States
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Ma M, Yu Q, Delafield DG, Cui Y, Li Z, Li M, Wu W, Shi X, Westmark PR, Gutierrez A, Ma G, Gao A, Xu M, Xu W, Westmark CJ, Li L. On-Tissue Spatial Proteomics Integrating MALDI-MS Imaging with Shotgun Proteomics Reveals Soy Consumption-Induced Protein Changes in a Fragile X Syndrome Mouse Model. ACS Chem Neurosci 2024; 15:119-133. [PMID: 38109073 DOI: 10.1021/acschemneuro.3c00497] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2023] Open
Abstract
Fragile X syndrome (FXS), the leading cause of inherited intellectual disability and autism, is caused by the transcriptional silencing of the FMR1 gene, which encodes the fragile X messenger ribonucleoprotein (FMRP). FMRP interacts with numerous brain mRNAs that are involved in synaptic plasticity and implicated in autism spectrum disorders. Our published studies indicate that single-source, soy-based diets are associated with increased seizures and autism. Thus, there is an acute need for an unbiased protein marker identification in FXS in response to soy consumption. Herein, we present a spatial proteomics approach integrating mass spectrometry imaging with label-free proteomics in the FXS mouse model to map the spatial distribution and quantify levels of proteins in the hippocampus and hypothalamus brain regions. In total, 1250 unique peptides were spatially resolved, demonstrating the diverse array of peptidomes present in the tissue slices and the broad coverage of the strategy. A group of proteins that are known to be involved in glycolysis, synaptic transmission, and coexpression network analysis suggest a significant association between soy proteins and metabolic and synaptic processes in the Fmr1KO brain. Ultimately, this spatial proteomics work represents a crucial step toward identifying potential candidate protein markers and novel therapeutic targets for FXS.
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Affiliation(s)
- Min Ma
- School of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States
| | - Qinying Yu
- School of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States
| | - Daniel G Delafield
- School of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States
| | - Yusi Cui
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States
| | - Zihui Li
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States
| | - Miyang Li
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States
| | - Wenxin Wu
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States
| | - Xudong Shi
- Division of Otolaryngology, Department of Surgery, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States
| | - Pamela R Westmark
- Department of Neurology, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | - Alejandra Gutierrez
- Department of Neurology, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
- Molecular Environmental Toxicology Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | - Gui Ma
- McArdle Laboratory for Cancer Research, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States
| | - Ang Gao
- McArdle Laboratory for Cancer Research, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States
| | - Meng Xu
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States
| | - Wei Xu
- McArdle Laboratory for Cancer Research, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States
| | - Cara J Westmark
- Department of Neurology, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
- Molecular Environmental Toxicology Center, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin 53706, United States
| | - Lingjun Li
- School of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States
- Department of Chemistry, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States
- Lachman Institute for Pharmaceutical Development, School of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States
- Wisconsin Center for NanoBioSystems, School of Pharmacy, University of Wisconsin-Madison, Madison, Wisconsin 53705, United States
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Xu L, Zhang C, Oyama S, Machida M, Kahyo T, Setou M. Coarse-graining of perplexity for the spatial distribution of molecules. Phys Rev E 2024; 109:014402. [PMID: 38366427 DOI: 10.1103/physreve.109.014402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2023] [Accepted: 12/10/2023] [Indexed: 02/18/2024]
Abstract
Biological tissue consists of various molecules. Instead of focusing on a particular molecule, we consider the Shannon entropy which is calculated from the abundance of different molecules at each spot in the tissue. The spatial distribution of the Shannon entropy is of interest. In this paper, we first obtain the heat map of perplexity, whose logarithm is the entropy. To characterize the spatial variety of molecules, we propose a scalar k that is concerned with the coarse-graining of the perplexity heat map. To verify the usefulness of the number, experiments with mass spectrometry imaging were performed for mouse kidneys. We found that k has large values in the renal pelvis area, cortex area, veins, and arteries in the mouse kidney, whereas fractal dimensions fail to distinguish those regions.
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Affiliation(s)
- Lili Xu
- Department of Cellular and Molecular Anatomy, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan
| | - Chi Zhang
- Department of Systems Molecular Anatomy, Institute for Medical Photonics Research, Preeminent Medical Photonics Education & Research Center, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan
| | - Soho Oyama
- Department of Cellular and Molecular Anatomy, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan
| | - Manabu Machida
- Department of Systems Molecular Anatomy, Institute for Medical Photonics Research, Preeminent Medical Photonics Education & Research Center, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan
- Department of Informatics, Faculty of Engineering, Kindai University, Higashi-Hiroshima 739-2116, Japan
| | - Tomoaki Kahyo
- Department of Cellular and Molecular Anatomy, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan
- International Mass Imaging Center, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan
| | - Mitsutoshi Setou
- Department of Cellular and Molecular Anatomy, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan
- Department of Systems Molecular Anatomy, Institute for Medical Photonics Research, Preeminent Medical Photonics Education & Research Center, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan
- International Mass Imaging Center, Hamamatsu University School of Medicine, Hamamatsu 431-3192, Japan
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13
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Slijkhuis N, Towers M, Mirzaian M, Korteland SA, Heijs B, van Gaalen K, Nieuwenhuizen I, Nigg A, van der Heiden K, de Rijke YB, van der Lugt A, Sijbrands EJG, Claude E, van Soest G. Identifying lipid traces of atherogenic mechanisms in human carotid plaque. Atherosclerosis 2023; 385:117340. [PMID: 37913561 DOI: 10.1016/j.atherosclerosis.2023.117340] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 10/05/2023] [Accepted: 10/10/2023] [Indexed: 11/03/2023]
Abstract
BACKGROUND AND AIMS Lipids play an important role in atherosclerotic plaque development and are interesting candidate predictive biomarkers. However, the link between circulating lipids, accumulating lipids in the vessel wall, and plaque destabilization processes in humans remains largely unknown. This study aims to provide new insights into the role of lipids in atherosclerosis using lipidomics and mass spectrometry imaging to investigate lipid signatures in advanced human carotid plaque and plasma samples. METHODS We used lipidomics and desorption electrospray ionization mass spectrometry imaging (DESI-MSI) to investigate lipid signatures of advanced human carotid plaque and plasma obtained from patients who underwent carotid endarterectomy (n = 14 out of 17 whose plaque samples were analyzed by DESI-MSI). Multivariate data analysis and unsupervised clustering were applied to identify lipids that were the most discriminative species between different patterns in plaque and plasma. These patterns were interpreted by quantitative comparison with conventional histology. RESULTS Lipidomics detected more than 300 lipid species in plasma and plaque, with markedly different relative abundances. DESI-MSI visualized the spatial distribution of 611 lipid-related m/z features in plaques, of which 330 m/z features could be assigned based on exact mass, comparison to the lipidomic data, and high mass resolution MSI. Matching spatial lipid patterns to histological areas of interest revealed several molecular species that were colocalized with pertinent disease processes in plaque including specific sphingomyelin and ceramide species with calcification, phospholipids and free fatty acids with inflammation, and triacylglycerols and phosphatidylinositols with fibrin-rich areas. CONCLUSIONS By comparing lipid species in plaque and plasma, we identified those circulating species that were also prominently present in plaque. Quantitative comparison of lipid spectral patterns with histology revealed the presence of specific lipid species in destabilized plaque areas, corroborating previous in vitro and animal studies.
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Affiliation(s)
- Nuria Slijkhuis
- Department of Cardiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Mark Towers
- Waters Corporation, Wilmslow, United Kingdom
| | - Mina Mirzaian
- Department of Clinical Chemistry, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Suze-Anne Korteland
- Department of Cardiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Bram Heijs
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, the Netherlands
| | - Kim van Gaalen
- Department of Cardiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Ingeborg Nieuwenhuizen
- Department of Cardiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Alex Nigg
- Optical Imaging Center, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Kim van der Heiden
- Department of Cardiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Yolanda B de Rijke
- Department of Clinical Chemistry, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Aad van der Lugt
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Eric J G Sijbrands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | | | - Gijs van Soest
- Department of Cardiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands; Department of Precision and Microsystems Engineering, Faculty of Mechanical Engineering, Delft University of Technology, Delft, the Netherlands.
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14
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Molina-Millán L, Körber A, Flinders B, Cillero-Pastor B, Cuypers E, Heeren RMA. MALDI-2 Mass Spectrometry for Synthetic Polymer Analysis. Macromolecules 2023; 56:7729-7736. [PMID: 37841532 PMCID: PMC10569092 DOI: 10.1021/acs.macromol.3c01401] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 09/04/2023] [Indexed: 10/17/2023]
Abstract
Synthetic polymers are ubiquitous in daily life, and their properties offer diverse benefits in numerous applications. However, synthetic polymers also present an increasing environmental burden through their improper disposal and subsequent degradation into secondary micro- and nanoparticles (MNPs). These MNPs accumulate in soil and water environments and can ultimately end up in the food chain, resulting in potential health risks. Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI MSI) has the potential to study localized biological or toxicological changes in organisms exposed to MNPs. Here, we investigate whether MALDI-2 postionization can provide a sensitivity enhancement in polymer analysis that could contribute to the study of MNPs. We evaluated the effect of MALDI-2 by comparing MALDI and MALDI-2 ion yields from polyethyleneglycol (PEG), polypropylene glycol (PPG), polytetrahydrofuran (PTHF), nylon-6, and polystyrene (PS). MALDI-2 caused a signal enhancement of the protonated species for PEG, PPG, PTHF, and nylon-6. PS, by contrast, preferentially formed radical ions, which we attribute to direct resonance-enhanced multiphoton ionization (REMPI). REMPI of PS led to an improvement in sensitivity by several orders of magnitude, even without cationizing salts. The improved sensitivity demonstrated by MALDI-2 for all polymers tested highlights its potential for studying the distribution of certain classes of polymers in biological systems.
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Affiliation(s)
- Lidia Molina-Millán
- The
Maastricht MultiModal Molecular Imaging Institute (M4i), Division
of Imaging Mass Spectrometry, Maastricht
University, Universiteitssingel 50, 6229 ER Maastricht, The Netherlands
| | - Aljoscha Körber
- The
Maastricht MultiModal Molecular Imaging Institute (M4i), Division
of Imaging Mass Spectrometry, Maastricht
University, Universiteitssingel 50, 6229 ER Maastricht, The Netherlands
| | - Bryn Flinders
- The
Maastricht MultiModal Molecular Imaging Institute (M4i), Division
of Imaging Mass Spectrometry, Maastricht
University, Universiteitssingel 50, 6229 ER Maastricht, The Netherlands
| | - Berta Cillero-Pastor
- The
Maastricht MultiModal Molecular Imaging Institute (M4i), Division
of Imaging Mass Spectrometry, Maastricht
University, Universiteitssingel 50, 6229 ER Maastricht, The Netherlands
- The
MERLN Institute for Technology-Inspired Regenerative Medicine, Department
of Cell Biology-Inspired Tissue Engineering, Maastricht University, Universiteitssingel 40, 6229 ER Maastricht, The Netherlands
| | - Eva Cuypers
- The
Maastricht MultiModal Molecular Imaging Institute (M4i), Division
of Imaging Mass Spectrometry, Maastricht
University, Universiteitssingel 50, 6229 ER Maastricht, The Netherlands
| | - Ron M. A. Heeren
- The
Maastricht MultiModal Molecular Imaging Institute (M4i), Division
of Imaging Mass Spectrometry, Maastricht
University, Universiteitssingel 50, 6229 ER Maastricht, The Netherlands
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15
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Raths J, Pinto FE, Janfelt C, Hollender J. Elucidating the spatial distribution of organic contaminants and their biotransformation products in amphipod tissue by MALDI- and DESI-MS-imaging. Ecotoxicol Environ Saf 2023; 264:115468. [PMID: 37738825 DOI: 10.1016/j.ecoenv.2023.115468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/06/2023] [Revised: 08/29/2023] [Accepted: 09/08/2023] [Indexed: 09/24/2023]
Abstract
The application of mass spectrometry imaging (MSI) is a promising tool to analyze the spatial distribution of organic contaminants in organisms and thereby improve the understanding of toxicokinetic and toxicodynamic processes. MSI is a common method in medical research but has been rarely applied in environmental science. In the present study, the suitability of MSI to assess the spatial distribution of organic contaminants and their biotransformation products (BTPs) in the aquatic invertebrate key species Gammarus pulex was studied. Gammarids were exposed to a mixture of common organic contaminants (carbamazepine, citalopram, cyprodinil, efavirenz, fluopyram and terbutryn). The distribution of the parent compounds and their BTPs in the organisms was analyzed by two MSI methods (MALDI- and DESI-HRMSI) after cryo-sectioning, and by LC-HRMS/MS after dissection into different organ compartments. The spatial distribution of contaminats in gammarid tissue could be successfully analyzed by the different analytical methods. The intestinal system was identified as the main site of biotransformation, possibly due to the presence of biotransforming enzymes. LC-HRMS/MS was more sensitive and provided higher confidence in BTP identification due to chromatographic separation and MS/MS. DESI was found to be the more sensitive MSI method for the analyzed contaminants, whereas additional biomarkers were found using MALDI. The results demonstrate the suitability of MSI for investigations on the spatial distribution of accumulated organic contaminants. However, both MSI methods required high exposure concentrations. Further improvements of ionization methods would be needed to address environmentally relevant concentrations.
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Affiliation(s)
- Johannes Raths
- Department of Environmental Chemistry, Swiss Federal Institute of Aquatic Science and Technology - Eawag, Dübendorf, Switzerland; Institute of Biogeochemistry and Pollutant Dynamics, ETH Zürich, Zürich, Switzerland
| | - Fernanda E Pinto
- Department of Pharmacy, University of Copenhagen, Copenhagen, Denmark
| | - Christian Janfelt
- Department of Pharmacy, University of Copenhagen, Copenhagen, Denmark
| | - Juliane Hollender
- Department of Environmental Chemistry, Swiss Federal Institute of Aquatic Science and Technology - Eawag, Dübendorf, Switzerland; Institute of Biogeochemistry and Pollutant Dynamics, ETH Zürich, Zürich, Switzerland.
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16
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van Hoogstraten SWG, Kuik C, Arts JJC, Cillero-Pastor B. Molecular imaging of bacterial biofilms-a systematic review. Crit Rev Microbiol 2023:1-22. [PMID: 37452571 DOI: 10.1080/1040841x.2023.2223704] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 05/16/2023] [Accepted: 06/05/2023] [Indexed: 07/18/2023]
Abstract
The formation of bacterial biofilms in the human body and on medical devices is a serious human health concern. Infections related to bacterial biofilms are often chronic and difficult to treat. Detailed information on biofilm formation and composition over time is essential for a fundamental understanding of the underlying mechanisms of biofilm formation and its response to anti-biofilm therapy. However, information on the chemical composition, structural components of biofilms, and molecular interactions regarding metabolism- and communication pathways within the biofilm, such as uptake of administered drugs or inter-bacteria communication, remains elusive. Imaging these molecules and their distribution in the biofilm increases insight into biofilm development, growth, and response to environmental factors or drugs. This systematic review provides an overview of molecular imaging techniques used for bacterial biofilm imaging. The techniques included mass spectrometry-based techniques, fluorescence-labelling techniques, spectroscopic techniques, nuclear magnetic resonance spectroscopy (NMR), micro-computed tomography (µCT), and several multimodal approaches. Many molecules were imaged, such as proteins, lipids, metabolites, and quorum-sensing (QS) molecules, which are crucial in intercellular communication pathways. Advantages and disadvantages of each technique, including multimodal approaches, to study molecular processes in bacterial biofilms are discussed, and recommendations on which technique best suits specific research aims are provided.
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Affiliation(s)
- S W G van Hoogstraten
- Laboratory for Experimental Orthopaedics, Department of Orthopaedic Surgery, CAPHRI, Maastricht University Medical Centre, Maastricht, the Netherlands
| | - C Kuik
- Maastricht MultiModal Molecular Imaging Institute (M4I), Maastricht University, Maastricht, the Netherlands
| | - J J C Arts
- Laboratory for Experimental Orthopaedics, Department of Orthopaedic Surgery, CAPHRI, Maastricht University Medical Centre, Maastricht, the Netherlands
- Department of Biomedical Engineering, Orthopaedic Biomechanics, Eindhoven University of Technology, Eindhoven, the Netherlands
| | - B Cillero-Pastor
- Maastricht MultiModal Molecular Imaging Institute (M4I), Maastricht University, Maastricht, the Netherlands
- Department of Cell Biology-Inspired Tissue Engineering, The MERLN Institute for Technology-Inspired Regenerative Medicine, University of Maastricht, Maastricht, the Netherlands
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17
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Liu J, Hu W, Han Y, Nie H. Recent advances in mass spectrometry imaging of single cells. Anal Bioanal Chem 2023:10.1007/s00216-023-04774-9. [PMID: 37269305 DOI: 10.1007/s00216-023-04774-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2023] [Revised: 05/18/2023] [Accepted: 05/23/2023] [Indexed: 06/05/2023]
Abstract
Mass spectrometry imaging (MSI) is a sensitive, specific, label-free imaging analysis technique that can simultaneously obtain the spatial distribution, relative content, and structural information of hundreds of biomolecules in cells and tissues, such as lipids, small drug molecules, peptides, proteins, and other compounds. The study of molecular mapping of single cells can reveal major scientific issues such as the activity pattern of living organisms, disease pathogenesis, drug-targeted therapy, and cellular heterogeneity. Applying MSI technology to the molecular mapping of single cells can provide new insights and ideas for the study of single-cell metabolomics. This review aims to provide an informative resource for those in the MSI community who are interested in single-cell imaging. Particularly, we discuss advances in imaging schemes and sample preparation, instrumentation improvements, data processing and analysis, and 3D MSI over the past few years that have allowed MSI to emerge as a powerful technique in the molecular imaging of single cells. Also, we highlight some of the most cutting-edge studies in single-cell MSI, demonstrating the future potential of single-cell MSI. Visualizing molecular distribution at the single-cell or even sub-cellular level can provide us with richer cell information, which strongly contributes to advancing research fields such as biomedicine, life sciences, pharmacodynamic testing, and metabolomics. At the end of the review, we summarize the current development of single-cell MSI technology and look into the future of this technology.
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Affiliation(s)
- Jikun Liu
- State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Beijing, 102249, China
- Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing, 100871, China
- Analytical Instrumental Center, Peking University, Beijing, 100871, China
| | - Wenya Hu
- State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Beijing, 102249, China
- Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing, 100871, China
- Analytical Instrumental Center, Peking University, Beijing, 100871, China
| | - Yehua Han
- State Key Laboratory of Heavy Oil Processing, China University of Petroleum, Beijing, 102249, China.
| | - Honggang Nie
- Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing, 100871, China.
- Analytical Instrumental Center, Peking University, Beijing, 100871, China.
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18
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Cappuccio G, Khalil SM, Osenberg S, Li F, Maletic-Savatic M. Mass spectrometry imaging as an emerging tool for studying metabolism in human brain organoids. Front Mol Biosci 2023; 10:1181965. [PMID: 37304070 PMCID: PMC10251497 DOI: 10.3389/fmolb.2023.1181965] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 05/02/2023] [Indexed: 06/13/2023] Open
Abstract
Human brain organoids are emerging models to study human brain development and pathology as they recapitulate the development and characteristics of major neural cell types, and enable manipulation through an in vitro system. Over the past decade, with the advent of spatial technologies, mass spectrometry imaging (MSI) has become a prominent tool for metabolic microscopy, providing label-free, non-targeted molecular and spatial distribution information of the metabolites within tissue, including lipids. This technology has never been used for studies of brain organoids and here, we set out to develop a standardized protocol for preparation and mass spectrometry imaging of human brain organoids. We present an optimized and validated sample preparation protocol, including sample fixation, optimal embedding solution, homogenous deposition of matrices, data acquisition and processing to maximize the molecular information derived from mass spectrometry imaging. We focus on lipids in organoids, as they play critical roles during cellular and brain development. Using high spatial and mass resolution in positive- and negative-ion modes, we detected 260 lipids in the organoids. Seven of them were uniquely localized within the neurogenic niches or rosettes as confirmed by histology, suggesting their importance for neuroprogenitor proliferation. We observed a particularly striking distribution of ceramide-phosphoethanolamine CerPE 36:1; O2 which was restricted within rosettes and of phosphatidyl-ethanolamine PE 38:3, which was distributed throughout the organoid tissue but not in rosettes. This suggests that ceramide in this particular lipid species might be important for neuroprogenitor biology, while its removal may be important for terminal differentiation of their progeny. Overall, our study establishes the first optimized experimental pipeline and data processing strategy for mass spectrometry imaging of human brain organoids, allowing direct comparison of lipid signal intensities and distributions in these tissues. Further, our data shed new light on the complex processes that govern brain development by identifying specific lipid signatures that may play a role in cell fate trajectories. Mass spectrometry imaging thus has great potential in advancing our understanding of early brain development as well as disease modeling and drug discovery.
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Affiliation(s)
- Gerarda Cappuccio
- Department of Pediatrics–Neurology, Baylor College of Medicine, Houston, TX, United States
- Jan and Dan Duncan Neurological Research Institute, Texas Children’s Hospital, Houston, TX, United States
| | - Saleh M. Khalil
- Department of Pediatrics–Neurology, Baylor College of Medicine, Houston, TX, United States
- Jan and Dan Duncan Neurological Research Institute, Texas Children’s Hospital, Houston, TX, United States
| | - Sivan Osenberg
- Department of Pediatrics–Neurology, Baylor College of Medicine, Houston, TX, United States
- Jan and Dan Duncan Neurological Research Institute, Texas Children’s Hospital, Houston, TX, United States
| | - Feng Li
- Department of Pathology and Immunology, Baylor College of Medicine, Houston, TX, United States
- Center for Drug Discovery, Baylor College of Medicine, Houston, TX, United States
| | - Mirjana Maletic-Savatic
- Department of Pediatrics–Neurology, Baylor College of Medicine, Houston, TX, United States
- Jan and Dan Duncan Neurological Research Institute, Texas Children’s Hospital, Houston, TX, United States
- Center for Drug Discovery, Baylor College of Medicine, Houston, TX, United States
- Department of Neuroscience, Baylor College of Medicine, Houston, TX, United States
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19
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Forsman TT, Paulson AE, Larson EA, Looft T, Lee YJ. On-tissue chemical derivatization of volatile metabolites for matrix-assisted laser desorption/ionization mass spectrometry imaging. J Mass Spectrom 2023; 58:e4918. [PMID: 37045444 DOI: 10.1002/jms.4918] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 03/14/2023] [Accepted: 03/29/2023] [Indexed: 06/19/2023]
Abstract
Mass spectrometry imaging (MSI) of volatile metabolites is challenging, especially in matrix-assisted laser desorption/ionization (MALDI). Most MALDI ion sources operate in vacuum, which leads to the vaporization of volatile metabolites during analysis. In addition, tissue samples are often dried during sample preparation, leading to the loss of volatile metabolites even for other MSI techniques. On-tissue chemical derivatization can dramatically reduce the volatility of analytes. Herein, a derivatization method is proposed utilizing N,N,N-trimethyl-2-(piperazin-1-yl)ethan-1-aminium iodide to chemically modify short-chain fatty acids in chicken cecum, ileum, and jejunum tissue sections before sample preparation for MSI visualization.
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Affiliation(s)
- Trevor T Forsman
- Department of Chemistry, Iowa State University, Ames, Iowa, 50011, USA
| | - Andrew E Paulson
- Department of Chemistry, Iowa State University, Ames, Iowa, 50011, USA
| | - Evan A Larson
- Department of Chemistry, Iowa State University, Ames, Iowa, 50011, USA
| | - Torey Looft
- National Animal Disease Center, Agricultural Research Services, United States Department of Agriculture, Ames, Iowa, 50010, USA
| | - Young Jin Lee
- Department of Chemistry, Iowa State University, Ames, Iowa, 50011, USA
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20
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Krijnen K, Keelor JD, Böhm S, Ellis SR, Köster C, Höhndorf J, Heeren RMA, Anthony IGM. A Multimodal SIMS/MALDI Mass Spectrometry Imaging Source with Secondary Electron Imaging Capabilities for Use with timsTOF Instruments. J Am Soc Mass Spectrom 2023; 34:720-727. [PMID: 36891615 PMCID: PMC10080675 DOI: 10.1021/jasms.2c00381] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/23/2022] [Revised: 02/09/2023] [Accepted: 02/13/2023] [Indexed: 06/18/2023]
Abstract
Mass spectrometry imaging (MSI) is a surface analysis technique that produces chemical images and is commonly used for biological and biomedical research. Multimodal imaging combines multiple imaging modes in order to get a more comprehensive view of a sample. Multimodal MSI images are often acquired using multiple MSI instruments, which leads to issues regarding image registration and increases the chance of sample damage or degradation during sample transfer. These problems can be solved by using a single instrument that can image in multiple modes. In order to improve the efficiency of multimodal imaging and investigate complementary modes of MSI, we have modified a prototype Bruker timsTOF fleX by adding secondary ion mass spectrometry (SIMS) and secondary electron (SE) imaging capabilities while preserving the ability to perform matrix-assisted laser desorption/ionization (MALDI). We show multimodal images collected on this instrument that required only trivial registration and were acquired without sample transfer between imaging trials. Furthermore, we characterize the performance of SIMS, SE, and MALDI imaging and compare the performance of the modified instrument to a commercial timsTOF fleX.
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Affiliation(s)
- Kasper Krijnen
- Maastricht
MultiModal Molecular Imaging (M4i) Institute, Division of Imaging
Mass Spectrometry, Maastricht University, 6229 ER Maastricht, The Netherlands
| | - Joel D. Keelor
- Maastricht
MultiModal Molecular Imaging (M4i) Institute, Division of Imaging
Mass Spectrometry, Maastricht University, 6229 ER Maastricht, The Netherlands
| | - Sebastian Böhm
- Bruker
Daltonics GmbH & Co KG, Fahrenheitstraße 4, 28359 Bremen, Germany
| | - Shane R. Ellis
- Maastricht
MultiModal Molecular Imaging (M4i) Institute, Division of Imaging
Mass Spectrometry, Maastricht University, 6229 ER Maastricht, The Netherlands
- Molecular
Horizons and School of Chemistry and Molecular Bioscience, University of Wollongong, Wollongong, New South Wales 2522, Australia
| | - Claus Köster
- Bruker
Daltonics GmbH & Co KG, Fahrenheitstraße 4, 28359 Bremen, Germany
| | - Jens Höhndorf
- Bruker
Daltonics GmbH & Co KG, Fahrenheitstraße 4, 28359 Bremen, Germany
| | - Ron M. A. Heeren
- Maastricht
MultiModal Molecular Imaging (M4i) Institute, Division of Imaging
Mass Spectrometry, Maastricht University, 6229 ER Maastricht, The Netherlands
| | - Ian G. M. Anthony
- Maastricht
MultiModal Molecular Imaging (M4i) Institute, Division of Imaging
Mass Spectrometry, Maastricht University, 6229 ER Maastricht, The Netherlands
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21
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Graham DJ, Gamble LJ. Back to the basics of time-of-flight secondary ion mass spectrometry of bio-related samples. I. Instrumentation and data collection. Biointerphases 2023; 18:021201. [PMID: 36990800 PMCID: PMC10063322 DOI: 10.1116/6.0002477] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/09/2023] [Revised: 03/01/2023] [Accepted: 03/03/2023] [Indexed: 03/30/2023] Open
Abstract
Time-of-flight secondary ion mass spectrometry (ToF-SIMS) is used widely throughout industrial and academic research due to the high information content of the chemically specific data it produces. Modern ToF-SIMS instruments can generate high mass resolution data that can be displayed as spectra and images (2D and 3D). This enables determining the distribution of molecules across and into a surface and provides access to information not obtainable from other methods. With this detailed chemical information comes a steep learning curve in how to properly acquire and interpret the data. This Tutorial is aimed at helping ToF-SIMS users to plan for and collect ToF-SIMS data. The second Tutorial in this series will cover how to process, display, and interpret ToF-SIMS data.
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22
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Chen J, Mao L, Jiang Y, Liu H, Wang X, Meng L, Du Q, Han J, He L, Huang H, Wang Y, Xiong C, Wei Y, Nie Z. Revealing the In Situ Behavior of Aggregation-Induced Emission Nanoparticles and Their Biometabolic Effects via Mass Spectrometry Imaging. ACS Nano 2023; 17:4463-4473. [PMID: 36802559 DOI: 10.1021/acsnano.2c10058] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/18/2023]
Abstract
Simultaneous imaging of exogenous nanomaterials and endogenous metabolites in situ remains challenging and is beneficial for a systemic understanding of the biological behavior of nanomaterials at the molecular level. Here, combined with label-free mass spectrometry imaging, visualization and quantification of the aggregation-induced emission nanoparticles (NPs) in tissue were realized as well as related endogenous spatial metabolic changes simultaneously. Our approach enables us to identify the heterogeneous deposition and clearance behavior of nanoparticles in organs. The accumulation of nanoparticles in normal tissues results in distinct endogenous metabolic changes such as oxidative stress as indicated by glutathione depletion. The low passive delivery efficiency of nanoparticles to tumor foci suggested that the enrichment of NPs in tumors did not benefit from the abundant tumor vessels. Moreover, spatial-selective metabolic changes upon NPs mediated photodynamic therapy was identified, which enables understanding of the NPs induced apoptosis in the process of cancer therapy. This strategy allows us to simultaneously detect exogenous nanomaterials and endogenous metabolites in situ, hence to decipher spatial selective metabolic changes in drug delivery and cancer therapy processes.
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Affiliation(s)
- Junyu Chen
- 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 100190, China
| | - Liucheng Mao
- Department of Chemistry, Tsinghua University, Beijing 100084, China
| | - Yuming Jiang
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, 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
| | - Xiao 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
- University of Chinese Academy of Sciences, Beijing 100190, China
| | - Lingwei Meng
- 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 100190, China
| | - Qiuyao Du
- 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 100190, China
| | - Jing Han
- Beijing National Laboratory for Molecular Sciences, Key Laboratory of Analytical Chemistry for Living Biosystems, Institute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China
| | - Liuying He
- 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 100190, China
| | - Hongye Huang
- Department of Chemistry, Tsinghua University, Beijing 100084, China
| | - Yawei 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
| | - 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
| | - Yen Wei
- Department of Chemistry, Tsinghua University, Beijing 100084, 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
- University of Chinese Academy of Sciences, Beijing 100190, China
- College of Chemical Engineering, Jiujiang University, Jiujiang, Jiangxi 332005, China
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23
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Lewis HM, Gupta P, Saunders KDG, Briones S, von Gerichten J, Townsend PA, Velliou E, Beste DJV, Cexus O, Webb R, Bailey MJ. Nanocapillary sampling coupled to liquid chromatography mass spectrometry delivers single cell drug measurement and lipid fingerprints. Analyst 2023; 148:1041-1049. [PMID: 36723178 PMCID: PMC9969958 DOI: 10.1039/d2an01732f] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
This work describes the development of a new approach to measure drug levels and lipid fingerprints in single living mammalian cells. Nanocapillary sampling is an approach that enables the selection and isolation of single living cells under microscope observation. Here, live single cell nanocapillary sampling is coupled to liquid chromatography for the first time. This allows molecular species to be separated prior to ionisation and improves measurement precision of drug analytes. The efficiency of transferring analytes from the sampling capillary into a vial was optimised in this work. The analysis was carried out using standard flow liquid chromatography coupled to widely available mass spectrometry instrumentation, highlighting opportunities for widespread adoption. The method was applied to 30 living cells, revealing cell-to-cell heterogeneity in the uptake of different drug molecules. Using this system, we detected 14-158 lipid features per single cell, revealing the association between bedaquiline uptake and lipid fingerprints.
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Affiliation(s)
- Holly-May Lewis
- Department of Chemistry, University of Surrey, Guildford, UK.
| | - Priyanka Gupta
- Department of Chemical and Process Engineering, University of SurreyGuildfordUK,Centre for 3D Models of Health and Disease, University College London – Division of Surgery and Interventional ScienceLondonUK
| | | | - Shazneil Briones
- School of Biosciences and Medicine, University of SurreyGuildfordUK
| | | | - Paul A. Townsend
- School of Biosciences and Medicine, University of SurreyGuildfordUK
| | - Eirini Velliou
- Department of Chemical and Process Engineering, University of SurreyGuildfordUK,Centre for 3D Models of Health and Disease, University College London – Division of Surgery and Interventional ScienceLondonUK
| | - Dany J. V. Beste
- School of Biosciences and Medicine, University of SurreyGuildfordUK
| | - Olivier Cexus
- School of Biosciences and Medicine, University of SurreyGuildfordUK
| | - Roger Webb
- Ion Beam Centre, University of SurreyGuildfordUK
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24
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Abstract
Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI MSI) has become a powerful method for studying the spatial distribution of molecules. Preparation of tissue sections is a critical step for obtaining high-quality imaging data. The thickness of the slice of tissue affects the feature quality of MALDI MSI. However, few studies involved in-depth and systematic examination of slice thickness. Herein, we investigate the effect of tissue slice thickness on MALDI MSI detection. We found that the thicker the slice, the worse the results obtained by MALDI MS, which we attributed to the charging effect. The optimal slice thickness of brain tissue obtained in this work is 2-6 μm. Comparisons of the effects of slice thickness on atmospheric pressure and vacuum MALDI assays indicated that the ion signals and imaging quality of vacuum MALDI were more seriously affected by the thickness, with atmospheric pressure (AP) MALDI having a greater tolerance for slice thickness than vacuum MALDI. The MALDI MSI of peptides after enzymatic digestion of tissue sections of different thicknesses was also studied, revealing that the most suitable tissue thickness for enzyme digestion is about 10 μm. Finally, we optimized the slice thicknesses of six tissues in mice to provide a reference for MALDI MSI studies. It is worth mentioning that in our study the values of slice thickness range from the nanometer level (400 nm) at the minimum to 150 μm at the maximum, values which were unprecedented. Detailed in-depth and systematic studies of slice thickness will promote the development of sample preparation technology of AP and vacuum MALDI MSI, which will provide important references for the selection of tissue section thickness.
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Affiliation(s)
- Xiaofei Wang
- Department of Chemistry, Capital Normal University, Beijing 100048, China.
| | - Lu Zhang
- Department of Chemistry, Capital Normal University, Beijing 100048, China.
| | - Yuhong Xiang
- Department of Chemistry, Capital Normal University, Beijing 100048, China.
| | - Nengsheng Ye
- Department of Chemistry, Capital Normal University, Beijing 100048, China.
| | - Kehui Liu
- State Key Laboratory of Membrane Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing 100101, China. .,Institute for Stem Cell and Regeneration, Chinese Academy of Sciences, 100101 Beijing, China.,University of Chinese Academy of Sciences, Beijing 100049, China
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25
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Liu D, Shen Y, Di D, Cai S, Huang X, Lin H, Huang Y, Xue J, Liu L, Hu B. Direct mass spectrometry analysis of biological tissue for diagnosis of thyroid cancer using wooden-tip electrospray ionization. Front Chem 2023; 11:1134948. [PMID: 36846859 PMCID: PMC9947238 DOI: 10.3389/fchem.2023.1134948] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/31/2022] [Accepted: 01/20/2023] [Indexed: 02/11/2023] Open
Abstract
Direct mass spectrometry (MS) analysis of human tissue at the molecular level could gain insight into biomarker discovery and disease diagnosis. Detecting metabolite profiles of tissue sample play an important role in understanding the pathological properties of disease development. Because the complex matrices in tissue samples, complicated and time-consuming sample preparation processes are usually required by conventional biological and clinical MS methods. Direct MS with ambient ionization technique is a new analytical strategy for direct sample analysis with little sample preparation, and has been proven to be a simple, rapid, and effective analytical tools for direct analysis of biological tissues. In this work, we applied a simple, low-cost, disposable wooden tip (WT) for loading tiny thyroid tissue, and then loading organic solvents to extract biomarkers under electrospray ionization (ESI) condition. Under such WT-ESI, the extract of thyroid was directly sprayed out from wooden tip to MS inlet. In this work, thyroid tissue from normal and cancer parts were analyzed by the established WT-ESI-MS, showing lipids were mainly detectable compounds in thyroid tissue. The MS data of lipids obtained from thyroid tissues were further analyzed with MS/MS experiment and multivariate variable analysis, and the biomarkers of thyroid cancer were also investigated.
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Affiliation(s)
- Dasheng Liu
- Department of Vascular Thyroid Surgery, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yuejian Shen
- Hangzhou Linping Hospital of Traditional Chinese Medicine, Hangzhou, China,*Correspondence: Li Liu, ; Yuejian Shen, ; Bin Hu,
| | - Dandan Di
- Institute of Mass Spectrometry and Atmospheric Environment, Guangdong Provincial Engineering Research Center for On-Line Source Apportionment System of Air Pollution, Jinan University, Guangzhou, China,Guangdong MS Institute of Scientific Instrument Innovation, Guangzhou, China
| | - Shenhui Cai
- Institute of Mass Spectrometry and Atmospheric Environment, Guangdong Provincial Engineering Research Center for On-Line Source Apportionment System of Air Pollution, Jinan University, Guangzhou, China
| | - Xueyang Huang
- Department of Vascular Thyroid Surgery, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Hongguo Lin
- Department of Vascular Thyroid Surgery, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Yalan Huang
- Department of Vascular Thyroid Surgery, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Jing Xue
- Zhejiang Province Joint Key Laboratory of Aquatic Products Processing, Collaborative Innovation Center of Seafood Deep Processing, Institute of Seafood, Zhejiang Gongshang University, Hangzhou, China
| | - Li Liu
- Health Management Center, The First Affiliated Hospital of Jinan University, Guangzhou, China,*Correspondence: Li Liu, ; Yuejian Shen, ; Bin Hu,
| | - Bin Hu
- Institute of Mass Spectrometry and Atmospheric Environment, Guangdong Provincial Engineering Research Center for On-Line Source Apportionment System of Air Pollution, Jinan University, Guangzhou, China,*Correspondence: Li Liu, ; Yuejian Shen, ; Bin Hu,
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26
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Wang Y, Chang Y, Hou H, Wang J, Xue C. Recent advance in the investigation of aquatic “blue foods” at a molecular level: A proteomics strategy. Trends Food Sci Technol 2023; 131:196-209. [DOI: 10.1016/j.tifs.2022.12.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
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27
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Millar J, Ozaki E, Campbell S, Duckett C, Doyle S, Cole LM. Multiomic Mass Spectrometry Imaging to Advance Future Pathological Understanding of Ocular Disease. Metabolites 2022; 12. [PMID: 36557277 DOI: 10.3390/metabo12121239] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/28/2022] [Revised: 12/01/2022] [Accepted: 12/04/2022] [Indexed: 12/13/2022] Open
Abstract
Determining the locations of proteins within the eye thought to be involved in ocular pathogenesis is important to determine how best to target them for therapeutic benefits. However, immunohistochemistry is limited by the availability and specificity of antibodies. Additionally, the perceived role of both essential and non-essential metals within ocular tissue has been at the forefront of age-related macular degeneration (AMD) pathology for decades, yet even key metals such as copper and zinc have yet to have their roles deconvoluted. Here, mass spectrometry imaging (MSI) is employed to identify and spatially characterize both proteomic and metallomic species within ocular tissue to advance the application of a multiomic imaging methodology for the investigation of ocular diseases.
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28
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Lukowski JK, Olson H, Velickovic M, Wang J, Kyle JE, Kim YM, Williams SM, Zhu Y, Huyck HL, McGraw MD, Poole C, Rogers L, Misra R, Alexandrov T, Ansong C, Pryhuber GS, Clair G, Adkins JN, Carson JP, Anderton CR. An optimized approach and inflation media for obtaining complimentary mass spectrometry-based omics data from human lung tissue. Front Mol Biosci 2022; 9:1022775. [PMID: 36465564 PMCID: PMC9709465 DOI: 10.3389/fmolb.2022.1022775] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2022] [Accepted: 11/02/2022] [Indexed: 04/23/2024] Open
Abstract
Human disease states are biomolecularly multifaceted and can span across phenotypic states, therefore it is important to understand diseases on all levels, across cell types, and within and across microanatomical tissue compartments. To obtain an accurate and representative view of the molecular landscape within human lungs, this fragile tissue must be inflated and embedded to maintain spatial fidelity of the location of molecules and minimize molecular degradation for molecular imaging experiments. Here, we evaluated agarose inflation and carboxymethyl cellulose embedding media and determined effective tissue preparation protocols for performing bulk and spatial mass spectrometry-based omics measurements. Mass spectrometry imaging methods were optimized to boost the number of annotatable molecules in agarose inflated lung samples. This optimized protocol permitted the observation of unique lipid distributions within several airway regions in the lung tissue block. Laser capture microdissection of these airway regions followed by high-resolution proteomic analysis allowed us to begin linking the lipidome with the proteome in a spatially resolved manner, where we observed proteins with high abundance specifically localized to the airway regions. We also compared our mass spectrometry results to lung tissue samples preserved using two other inflation/embedding media, but we identified several pitfalls with the sample preparation steps using this preservation method. Overall, we demonstrated the versatility of the inflation method, and we can start to reveal how the metabolome, lipidome, and proteome are connected spatially in human lungs and across disease states through a variety of different experiments.
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Affiliation(s)
| | - Heather Olson
- Pacific Northwest National Laboratory (PNNL), Richland, WA, United States
| | - Marija Velickovic
- Pacific Northwest National Laboratory (PNNL), Richland, WA, United States
| | - Juan Wang
- Pacific Northwest National Laboratory (PNNL), Richland, WA, United States
| | - Jennifer E. Kyle
- Pacific Northwest National Laboratory (PNNL), Richland, WA, United States
| | - Young-Mo Kim
- Pacific Northwest National Laboratory (PNNL), Richland, WA, United States
| | - Sarah M. Williams
- Pacific Northwest National Laboratory (PNNL), Richland, WA, United States
| | - Ying Zhu
- Pacific Northwest National Laboratory (PNNL), Richland, WA, United States
| | - Heidi L. Huyck
- Department of Pediatrics, University of Rochester Medical Center, Rochester, NY, United States
| | - Matthew D. McGraw
- Department of Pediatrics, University of Rochester Medical Center, Rochester, NY, United States
| | - Cory Poole
- Department of Pediatrics, University of Rochester Medical Center, Rochester, NY, United States
| | - Lisa Rogers
- Department of Pediatrics, University of Rochester Medical Center, Rochester, NY, United States
| | - Ravi Misra
- Department of Pediatrics, University of Rochester Medical Center, Rochester, NY, United States
| | - Theodore Alexandrov
- Structural and Computational Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Charles Ansong
- Pacific Northwest National Laboratory (PNNL), Richland, WA, United States
| | - Gloria S. Pryhuber
- Department of Pediatrics, University of Rochester Medical Center, Rochester, NY, United States
| | - Geremy Clair
- Pacific Northwest National Laboratory (PNNL), Richland, WA, United States
| | - Joshua N. Adkins
- Pacific Northwest National Laboratory (PNNL), Richland, WA, United States
| | - James P. Carson
- Texas Advanced Computing Center (TACC), University of Texas at Austin, Austin, TX, United States
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29
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Sjövall P, Gregoire S, Wargniez W, Skedung L, Luengo GS. 3D Molecular Imaging of Stratum Corneum by Mass Spectrometry Suggests Distinct Distribution of Cholesteryl Esters Compared to Other Skin Lipids. Int J Mol Sci 2022; 23. [PMID: 36430276 DOI: 10.3390/ijms232213799] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/02/2022] [Revised: 11/02/2022] [Accepted: 11/03/2022] [Indexed: 11/11/2022] Open
Abstract
The crucial barrier properties of the stratum corneum (SC) depend critically on the design and integrity of its layered molecular structure. However, analysis methods capable of spatially resolved molecular characterization of the SC are scarce and fraught with severe limitations, e.g., regarding molecular specificity or spatial resolution. Here, we used 3D time-of-flight secondary ion mass spectrometry to characterize the spatial distribution of skin lipids in corneocyte multilayer squams obtained by tape stripping. Depth profiles of specific skin lipids display an oscillatory behavior that is consistent with successive monitoring of individual lipid and corneocyte layers of the SC structure. Whereas the most common skin lipids, i.e., ceramides, C24:0 and C26:0 fatty acids and cholesteryl sulfate, are similarly organized, a distinct 3D distribution was observed for cholesteryl oleate, suggesting a different localization of cholesteryl esters compared to the lipid matrix separating the corneocyte layers. The possibility to monitor the composition and spatial distribution of endogenous lipids as well as active drug and cosmetic substances in individual lipid and corneocyte layers has the potential to provide important contributions to the basic understanding of barrier function and penetration in the SC.
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30
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Körber A, Keelor JD, Claes BSR, Heeren RMA, Anthony IGM. Fast Mass Microscopy: Mass Spectrometry Imaging of a Gigapixel Image in 34 Minutes. Anal Chem 2022; 94:14652-14658. [PMID: 36223179 PMCID: PMC9607864 DOI: 10.1021/acs.analchem.2c02870] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Accepted: 09/22/2022] [Indexed: 11/29/2022]
Abstract
Mass spectrometry imaging (MSI) maps the spatial distributions of chemicals on surfaces. MSI requires improvements in throughput and spatial resolution, and often one is compromised for the other. In microprobe-mode MSI, improvements in spatial resolution increase the imaging time quadratically, thus limiting the use of high spatial resolution MSI for large areas or sample cohorts and time-sensitive measurements. Here, we bypass this quadratic relationship by combining a Timepix3 detector with a continuously sampling secondary ion mass spectrometry mass microscope. By reconstructing the data into large-field mass images, this new method, fast mass microscopy, enables orders of magnitude higher throughput than conventional MSI albeit yet at lower mass resolution. We acquired submicron, gigapixel images of fingerprints and rat tissue at acquisition speeds of 600,000 and 15,500 pixels s-1, respectively. For the first image, a comparable microprobe-mode measurement would take more than 2 months, whereas our approach took 33.3 min.
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Affiliation(s)
- Aljoscha Körber
- The
Maastricht MultiModal Molecular Imaging Institute (M4i), Division
of Imaging Mass Spectrometry, Maastricht
University, Universiteitssingel 50, Maastricht 6229 ER, The Netherlands
| | - Joel D. Keelor
- Amsterdam
Scientific Instruments B.V. (ASI), Science Park 106, Amsterdam 1098 XG, The Netherlands
| | - Britt S. R. Claes
- The
Maastricht MultiModal Molecular Imaging Institute (M4i), Division
of Imaging Mass Spectrometry, Maastricht
University, Universiteitssingel 50, Maastricht 6229 ER, The Netherlands
| | - Ron M. A. Heeren
- The
Maastricht MultiModal Molecular Imaging Institute (M4i), Division
of Imaging Mass Spectrometry, Maastricht
University, Universiteitssingel 50, Maastricht 6229 ER, The Netherlands
| | - Ian G. M. Anthony
- The
Maastricht MultiModal Molecular Imaging Institute (M4i), Division
of Imaging Mass Spectrometry, Maastricht
University, Universiteitssingel 50, Maastricht 6229 ER, The Netherlands
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31
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Krutilin A, Epp SW, Alejo GML, Busse F, Gitaric D, Schikora H, Schwoerer H, Tellkamp F. Peptide Mass Spectra from Micrometer-Thick Ice Films Produced with Femtosecond Pulses. Anal Chem 2022; 94:13359-13367. [PMID: 36153751 PMCID: PMC9535622 DOI: 10.1021/acs.analchem.2c01810] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
![]()
We present a cryogenic
mass spectrometry protocol with the capability
to detect peptides in the attomole dilution range from ice films.
Our approach employs femtosecond laser pulses and implements neither
substrate modification nor proton donor agents in the aqueous solution,
known to facilitate analyte detection in mass spectrometry. In a systematic
study, we investigated the impact of temperature, substrate composition,
and irradiation wavelength (513 and 1026 nm) on the bradykinin signal
onset. Our findings show that substrate choice and irradiation wavelength
have a minor impact on signal intensity once the preparation protocol
is optimized. However, if the temperature is increased from −140
to 0 °C, which is accompanied by ice film thinning, a somehow
complex picture of analyte desorption and ionization is recognizable,
which has not been described in the literature yet. Under cryogenic
conditions (−140 °C), obtaining a signal is only possible
from isolated sweet spots across the film. If the thin ice film is
between −100 and −70 °C of temperature, these sweet
spots appear more frequently. Ice sublimation triggered by temperatures
above −70 °C leads to an intense and robust signal onset
that could be maintained for several hours. In addition to the above
findings, we notice that a vibrant fragmentation pattern produced
is strikingly similar with both wavelengths. Our findings suggest
that while following an optimized protocol, femtosecond mass spectrometry
has excellent potential to analyze small organic molecules and peptides
with a mass range of up to 2.5 kDa in aqueous solution without any
matrix, as employed in matrix-assisted laser desorption/ionization
(MALDI) or any substrate surface modification, found in surface-assisted
laser desorption/ionization (SALDI).
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Affiliation(s)
- Andrey Krutilin
- Max Planck Institute for the Structure and Dynamics of Matter, Luruper Chaussee 149, Hamburg 22761, Germany
| | - Sascha W Epp
- Max Planck Institute for the Structure and Dynamics of Matter, Luruper Chaussee 149, Hamburg 22761, Germany
| | - Glaynel M L Alejo
- Max Planck Institute for the Structure and Dynamics of Matter, Luruper Chaussee 149, Hamburg 22761, Germany
| | - Frederik Busse
- Max Planck Institute for the Structure and Dynamics of Matter, Luruper Chaussee 149, Hamburg 22761, Germany
| | - Djordje Gitaric
- Max Planck Institute for the Structure and Dynamics of Matter, Luruper Chaussee 149, Hamburg 22761, Germany
| | - Hendrik Schikora
- Max Planck Institute for the Structure and Dynamics of Matter, Luruper Chaussee 149, Hamburg 22761, Germany
| | - Heinrich Schwoerer
- Max Planck Institute for the Structure and Dynamics of Matter, Luruper Chaussee 149, Hamburg 22761, Germany
| | - Friedjof Tellkamp
- Max Planck Institute for the Structure and Dynamics of Matter, Luruper Chaussee 149, Hamburg 22761, Germany
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32
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Prasad M, Postma G, Franceschi P, Buydens LMC, Jansen JJ. Evaluation and comparison of unsupervised methods for the extraction of spatial patterns from mass spectrometry imaging data (MSI). Sci Rep 2022; 12:15687. [PMID: 36127378 PMCID: PMC9489880 DOI: 10.1038/s41598-022-19365-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2022] [Accepted: 08/29/2022] [Indexed: 11/18/2022] Open
Abstract
For the extraction of spatially important regions from mass spectrometry imaging (MSI) data, different clustering methods have been proposed. These clustering methods are based on certain assumptions and use different criteria to assign pixels into different classes. For high-dimensional MSI data, the curse of dimensionality also limits the performance of clustering methods which are usually overcome by pre-processing the data using dimension reduction techniques. In summary, the extraction of spatial patterns from MSI data can be done using different unsupervised methods, but the robust evaluation of clustering results is what is still missing. In this study, we have performed multiple simulations on synthetic and real MSI data to validate the performance of unsupervised methods. The synthetic data were simulated mimicking important spatial and statistical properties of real MSI data. Our simulation results confirmed that K-means clustering with correlation distance and Gaussian Mixture Modeling clustering methods give optimal performance in most of the scenarios. The clustering methods give efficient results together with dimension reduction techniques. From all the dimension techniques considered here, the best results were obtained with the minimum noise fraction (MNF) transform. The results were confirmed on both synthetic and real MSI data. However, for successful implementation of MNF transform the MSI data requires to be of limited dimensions.
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Affiliation(s)
- Mridula Prasad
- IMM/Analytical Chemistry, Radboud University, Heyendaalseweg, 6525 AJ, Nijmegen, The Netherlands.,Unit of Computational Biology, Research and Innovation Center, Fondazione Edmund Mach, 38010, San Michele all' Adige, Italy
| | - Geert Postma
- IMM/Analytical Chemistry, Radboud University, Heyendaalseweg, 6525 AJ, Nijmegen, The Netherlands.
| | - Pietro Franceschi
- Unit of Computational Biology, Research and Innovation Center, Fondazione Edmund Mach, 38010, San Michele all' Adige, Italy
| | - Lutgarde M C Buydens
- IMM/Analytical Chemistry, Radboud University, Heyendaalseweg, 6525 AJ, Nijmegen, The Netherlands
| | - Jeroen J Jansen
- IMM/Analytical Chemistry, Radboud University, Heyendaalseweg, 6525 AJ, Nijmegen, The Netherlands
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33
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Nwabufo CK, Aigbogun OP. The Role of Mass Spectrometry Imaging in Pharmacokinetic Studies. Xenobiotica 2022; 52:811-827. [PMID: 36048000 DOI: 10.1080/00498254.2022.2119900] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/14/2022]
Abstract
Although liquid chromatography-tandem mass spectrometry is the gold standard analytical platform for the quantification of drugs, metabolites, and biomarkers in biological samples, it cannot localize them in target tissues.The localization and quantification of drugs and/or their associated metabolites in target tissues is a more direct measure of bioavailability, biodistribution, efficacy, and regional toxicity compared to the traditional substitute studies using plasma.Therefore, combining high spatial resolution imaging functionality with the superior selectivity and sensitivity of mass spectrometry into one analytical technique will be a valuable tool for targeted localization and quantification of drugs, metabolites, and biomarkers.Mass spectrometry imaging (MSI) is a tagless analytical technique that allows for the direct localization and quantification of drugs, metabolites, and biomarkers in biological tissues, and has been used extensively in pharmaceutical research.The overall goal of this current review is to provide a detailed description of the working principle of MSI and its application in pharmacokinetic studies encompassing absorption, distribution, metabolism, excretion, and toxicity processes, followed by a discussion of the strategies for addressing the challenges associated with the functional utility of MSI in pharmacokinetic studies that support drug development.
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Affiliation(s)
- Chukwunonso K Nwabufo
- Department of Pharmaceutical Sciences, Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, ON, Canada
| | - Omozojie P Aigbogun
- Drug Discovery and Development Research Group, College of Pharmacy and Nutrition, University of Saskatchewan, Saskatoon, Canada.,Department of Chemistry, University of Saskatchewan, Saskatoon, Canada
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Tans R, Dey S, Dey NS, Cao JH, Paul PS, Calder G, O’Toole P, Kaye PM, Heeren RMA. Mass spectrometry imaging identifies altered hepatic lipid signatures during experimental Leishmania donovani infection. Front Immunol 2022; 13:862104. [PMID: 36003389 PMCID: PMC9394181 DOI: 10.3389/fimmu.2022.862104] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2022] [Accepted: 06/28/2022] [Indexed: 11/13/2022] Open
Abstract
Introduction Spatial analysis of lipids in inflammatory microenvironments is key to understand the pathogenesis of infectious disease. Granulomatous inflammation is a hallmark of leishmaniasis and changes in host and parasite lipid metabolism have been observed at the bulk tissue level in various infection models. Here, mass spectrometry imaging (MSI) is applied to spatially map hepatic lipid composition following infection with Leishmania donovani, an experimental mouse model of visceral leishmaniasis. Methods Livers from naïve and L. donovani-infected C57BL/6 mice were harvested at 14- and 20-days post-infection (n=5 per time point). 12 µm transverse sections were cut and covered with norhamane, prior to lipid analysis using MALDI-MSI. MALDI-MSI was performed in negative mode on a Rapiflex (Bruker Daltonics) at 5 and 50 µm spatial resolution and data-dependent analysis (DDA) on an Orbitrap-Elite (Thermo-Scientific) at 50 µm spatial resolution for structural identification analysis of lipids. Results Aberrant lipid abundances were observed in a heterogeneous distribution across infected mouse livers compared to naïve mouse liver. Distinctive localized correlated lipid masses were found in granulomas and surrounding parenchymal tissue. Structural identification revealed 40 different lipids common to naïve and d14/d20 infected mouse livers, whereas 15 identified lipids were only detected in infected mouse livers. For pathology-guided MSI imaging, we deduced lipids from manually annotated granulomatous and parenchyma regions of interests (ROIs), identifying 34 lipids that showed significantly different intensities between parenchyma and granulomas across all infected livers. Discussion Our results identify specific lipids that spatially correlate to the major histopathological feature of Leishmania donovani infection in the liver, viz. hepatic granulomas. In addition, we identified a three-fold increase in the number of unique phosphatidylglycerols (PGs) in infected liver tissue and provide direct evidence that arachidonic acid-containing phospholipids are localized with hepatic granulomas. These phospholipids may serve as important precursors for downstream oxylipin generation with consequences for the regulation of the inflammatory cascade. This study provides the first description of the use of MSI to define spatial-temporal lipid changes at local sites of infection induced by Leishmania donovani in mice.
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Affiliation(s)
- Roel Tans
- Maastricht MultiModal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry, Maastricht University, Maastricht, Netherlands
| | - Shoumit Dey
- York Biomedical Research Institute, Hull York Medical School, University of York, York, United Kingdom
| | - Nidhi Sharma Dey
- York Biomedical Research Institute, Hull York Medical School, University of York, York, United Kingdom
| | - Jian-Hua Cao
- Maastricht MultiModal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry, Maastricht University, Maastricht, Netherlands
| | - Prasanjit S. Paul
- Maastricht MultiModal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry, Maastricht University, Maastricht, Netherlands
| | - Grant Calder
- Department of Biology, University of York, York, United Kingdom
| | - Peter O’Toole
- Department of Biology, University of York, York, United Kingdom
| | - Paul M. Kaye
- York Biomedical Research Institute, Hull York Medical School, University of York, York, United Kingdom
- *Correspondence: Paul M. Kaye, ; Ron M. A. Heeren,
| | - Ron M. A. Heeren
- Maastricht MultiModal Molecular Imaging (M4I) Institute, Division of Imaging Mass Spectrometry, Maastricht University, Maastricht, Netherlands
- *Correspondence: Paul M. Kaye, ; Ron M. A. Heeren,
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Xie W, Mu S, Zhong J, Zhang C, Zhang H, Wang X, Weng Q. Mass Spectrometry Imaging of Lipids in the Scent Glands of Muskrat (Ondatra zibethicus) in Different Reproductive Statuses. Cells 2022; 11:2228. [PMID: 35883671 PMCID: PMC9322022 DOI: 10.3390/cells11142228] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/25/2022] [Revised: 07/12/2022] [Accepted: 07/16/2022] [Indexed: 12/04/2022] Open
Abstract
As a typical seasonal breeding animal, male muskrats have a pair of scent glands that can emit musky odor substances to attract females during the breeding period. The present study aimed to visualize the differences in the distribution of lipids in the scent glands of muskrats during their different reproductive statuses by imaging mass spectrometry and quantitative real-time PCR (qRT-PCR). The results revealed remarkable differences in the expression and spatial distribution of lipids detected in the scent glands of muskrats during the different reproductive statuses. In addition, the expression levels of lipid molecules PC (32:0) and LysoPC (16:0) were found to be significantly higher in the breeding season than in the non-breeding season. Moreover, the mRNA expression levels of lipid synthesis enzyme Pemt and Pla2g4b were higher in the breeding season than in the non-breeding season, and there were positive correlations between the expression intensities of lipid molecules and the expression levels of Pemt and Pla2g4b. The present study investigates the changes and distribution of the endogenous lipid in the scent glands of muskrats and elucidates that the seasonal changes in the lipid metabolism may affect the functions of the scent glands in muskrats.
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Spruill ML, Maletic-Savatic M, Martin H, Li F, Liu X. Spatial analysis of drug absorption, distribution, metabolism, and toxicology using mass spectrometry imaging. Biochem Pharmacol 2022; 201:115080. [PMID: 35561842 PMCID: PMC9744413 DOI: 10.1016/j.bcp.2022.115080] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2022] [Revised: 05/03/2022] [Accepted: 05/04/2022] [Indexed: 12/14/2022]
Abstract
Mass spectrometry imaging (MSI) is emerging as a powerful analytical tool for detection, quantification, and simultaneous spatial molecular imaging of endogenous and exogenous molecules via in situ mass spectrometry analysis of thin tissue sections without the requirement of chemical labeling. The MSI generates chemically specific and spatially resolved ion distribution information for administered drugs and metabolites, which allows numerous applications for studies involving various stages of drug absorption, distribution, metabolism, excretion, and toxicity (ADMET). MSI-based pharmacokinetic imaging analysis provides a histological context and cellular environment regarding dynamic drug distribution and metabolism processes, and facilitates the understanding of the spatial pharmacokinetics and pharmacodynamic properties of drugs. Herein, we discuss the MSI's current technological developments that offer qualitative, quantitative, and spatial location information of small molecule drugs, antibody, and oligonucleotides macromolecule drugs, and their metabolites in preclinical and clinical tissue specimens. We highlight the macro and micro drug-distribution in the whole-body, brain, lung, liver, kidney, stomach, intestine tissue sections, organoids, and the latest applications of MSI in pharmaceutical ADMET studies.
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Affiliation(s)
- Michelle L Spruill
- Department of Pharmacological and Pharmaceutical Sciences, College of Pharmacy, University of Houston, Houston, TX 77204, USA
| | - Mirjana Maletic-Savatic
- Department of Pediatrics, Baylor College of Medicine, Jan and Dan Duncan Neurological Research Institute, Texas Children's Hospital, Houston, TX 77030, USA
| | | | - Feng Li
- Center for Drug Discovery and Department of Pathology & Immunology, Baylor College of Medicine, Houston, TX 77030, USA; NMR and Drug Metabolism Core, Advanced Technology Cores, Baylor College of Medicine, Houston, TX 77030, USA.
| | - Xinli Liu
- Department of Pharmacological and Pharmaceutical Sciences, College of Pharmacy, University of Houston, Houston, TX 77204, USA.
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Liang Y, Feng Q, Wang Z. Mass Spectrometry Imaging as a New Method: To Reveal the Pathogenesis and the Mechanism of Traditional Medicine in Cerebral Ischemia. Front Pharmacol 2022; 13:887050. [PMID: 35721195 PMCID: PMC9204101 DOI: 10.3389/fphar.2022.887050] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 05/13/2022] [Indexed: 11/22/2022] Open
Abstract
Mass spectrometry imaging (MSI) can describe the spatial distribution of molecules in various complex biological samples, such as metabolites, lipids, peptides and proteins in a comprehensive way, and can provide highly relevant supplementary information when combined with other molecular imaging techniques and chromatography techniques, so it has been used more and more widely in biomedical research. The application of mass spectrometry imaging in neuroscience is developing. It is very advantageous and necessary to use MSI to study various pathophysiological processes involved in brain injury and functional recovery during cerebral ischemia. Therefore, this paper introduces the techniques of mass spectrometry, including the principle of mass spectrometry, the acquisition and preparation of imaging samples, the commonly used ionization techniques, and the optimization of the current applied methodology. Furthermore, the research on the mechanism of cerebral ischemia by mass spectrometry was reviewed, such as phosphatidylcholine involved, dopamine, spatial distribution and level changes of physiological substances such as ATP in the Krebs cycle; The characteristics of mass spectrometry imaging as one of the methods of metabolomics in screening biomarkers related to cerebral ischemia were analyzed the advantages of MSI in revealing drug distribution and the mechanism of traditional drugs were summarized, and the existing problems of MSI were also analyzed and relevant suggestions were put forward.
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Affiliation(s)
- Yan Liang
- College of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
- State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Qiaoqiao Feng
- College of Pharmacy, Chengdu University of Traditional Chinese Medicine, Chengdu, China
- State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, China
| | - Zhang Wang
- State Key Laboratory of Southwestern Chinese Medicine Resources, Chengdu University of Traditional Chinese Medicine, Chengdu, China
- College of Ethnomedicine, Chengdu University of Traditional Chinese Medicine, Chengdu, China
- *Correspondence: Zhang Wang,
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Kelley AR. Mass Spectrometry-Based Analysis of Lipid Involvement in Alzheimer’s Disease Pathology—A Review. Metabolites 2022; 12:510. [PMID: 35736443 PMCID: PMC9228715 DOI: 10.3390/metabo12060510] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 05/31/2022] [Accepted: 05/31/2022] [Indexed: 01/27/2023] Open
Abstract
Irregularities in lipid metabolism have been linked to numerous neurodegenerative diseases. The roles of abnormal brain, plasma, and cerebrospinal fluid (CSF) lipid levels in Alzheimer’s disease (AD) onset and progression specifically have been described to a great extent in the literature. Apparent hallmarks of AD include, but are not limited to, genetic predisposition involving the APOE Ɛ4 allele, oxidative stress, and inflammation. A common culprit tied to many of these hallmarks is disruption in brain lipid homeostasis. Therefore, it is important to understand the roles of lipids, under normal and abnormal conditions, in each process. Lipid influences in processes such as inflammation and blood–brain barrier (BBB) disturbance have been primarily studied via biochemical-based methods. There is a need, however, for studies focused on uncovering the relationship between lipid irregularities and AD by molecular-based quantitative analysis in transgenic animal models and human samples alike. In this review, mass spectrometry as it has been used as an analytical tool to address the convoluted relationships mentioned above is discussed. Additionally, molecular-based mass spectrometry strategies that should be used going forward to further relate structure and function relationships of lipid irregularities and hallmark AD pathology are outlined.
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Barajas-Solano C, Muñoz B, Chicano-Gálvez E, Escobar P, Mejía-Ospino E. Discriminator for Cutaneous Leishmaniasis Using MALDI-MSI in a Murine Model. J Am Soc Mass Spectrom 2022; 33:952-960. [PMID: 35549471 DOI: 10.1021/jasms.2c00015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Cutaneous leishmaniasis is a skin disease caused by flagellate protozoa of the genus Leishmania and transmitted by sandflies of the genus Lutzomyia. Around 1 million new cases occur in the world annually, with a total of 12 million people affected, mainly in rural areas with low access to health services and adequate treatments. In the area of the Americas, Colombia has one of the highest infection rates after Brazil. Topical treatments with pentamidine isethionate (PMD) present an attractive alternative due to their ease of application and low costs. However, cutaneous leishmaniasis lesions present nodules with seropurulent exudate that, when drying, form hyperkeratotic lesions, hindering the effective penetration of drugs for their treatment. The use of molecular histology techniques, such as MALDI-MSI, allow in situ evaluation of the penetration of the treatment to the sections of the dermis where the disease-causing parasite resides. However, the large volume of information generated makes it impossible to process it manually. Machine learning techniques allow the unsupervised processing of large amounts of information, generating prediction models for the classification of new information. This work proposes a low-cost method to generate cutaneous leishmaniasis detection and classification models using MALDI-MSI images taken from murine models. The proposed models allow a 95% efficiency when separating healthy samples from infected samples and an effectiveness of 67% when separating effectively treated samples from unsuccessfully treated samples.
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Affiliation(s)
- Crisostomo Barajas-Solano
- Systems Engineering Department, Universidad de Investigación y Desarrollo, 687033 Barrancabermeja, Colombia
| | - Betsy Muñoz
- Center of Research in Tropical Diseases (CINTROP), Universidad Industrial de Santander, 680002 Bucaramanga, Colombia
| | - Eduardo Chicano-Gálvez
- Maimónides Institute of Biomedical Research of Córdoba (IMIBIC), Proteomic Unit, 14004 Córdoba Spain
| | - Patricia Escobar
- Center of Research in Tropical Diseases (CINTROP), Universidad Industrial de Santander, 680002 Bucaramanga, Colombia
| | - Enrique Mejía-Ospino
- Laboratorio de Espectroscopia Atómica y Molecular (LEAM), Universidad Industrial de Santander, 680002 Bucaramanga, Colombia
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Isberg OG, Giunchiglia V, McKenzie JS, Takats Z, Jonasson JG, Bodvarsdottir SK, Thorsteinsdottir M, Xiang Y. Automated Cancer Diagnostics via Analysis of Optical and Chemical Images by Deep and Shallow Learning. Metabolites 2022; 12:455. [PMID: 35629959 PMCID: PMC9143055 DOI: 10.3390/metabo12050455] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 05/10/2022] [Accepted: 05/13/2022] [Indexed: 02/04/2023] Open
Abstract
Optical microscopy has long been the gold standard to analyse tissue samples for the diagnostics of various diseases, such as cancer. The current diagnostic workflow is time-consuming and labour-intensive, and manual annotation by a qualified pathologist is needed. With the ever-increasing number of tissue blocks and the complexity of molecular diagnostics, new approaches have been developed as complimentary or alternative solutions for the current workflow, such as digital pathology and mass spectrometry imaging (MSI). This study compares the performance of a digital pathology workflow using deep learning for tissue recognition and an MSI approach utilising shallow learning to annotate formalin-fixed and paraffin-embedded (FFPE) breast cancer tissue microarrays (TMAs). Results show that both deep learning algorithms based on conventional optical images and MSI-based shallow learning can provide automated diagnostics with F1-scores higher than 90%, with the latter intrinsically built on biochemical information that can be used for further analysis.
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Affiliation(s)
- Olof Gerdur Isberg
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK; (O.G.I.); (V.G.); (J.S.M.); (Z.T.)
- Faculty of Pharmaceutical Sciences, University of Iceland, Hofsvallagata 53, 107 Reykjavik, Iceland
- Biomedical Center, School of Health Sciences, University of Iceland, 101 Reykjavik, Iceland;
| | - Valentina Giunchiglia
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK; (O.G.I.); (V.G.); (J.S.M.); (Z.T.)
| | - James S. McKenzie
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK; (O.G.I.); (V.G.); (J.S.M.); (Z.T.)
| | - Zoltan Takats
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK; (O.G.I.); (V.G.); (J.S.M.); (Z.T.)
| | - Jon Gunnlaugur Jonasson
- Department of Pathology, Landspitali the National University Hospital, Hringbraut, 101 Reykjavik, Iceland;
- Faculty of Medicine, University of Iceland, Vatnsmyrarvegur 16, 101 Reykjavik, Iceland
| | | | - Margret Thorsteinsdottir
- Faculty of Pharmaceutical Sciences, University of Iceland, Hofsvallagata 53, 107 Reykjavik, Iceland
- Biomedical Center, School of Health Sciences, University of Iceland, 101 Reykjavik, Iceland;
| | - Yuchen Xiang
- Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK; (O.G.I.); (V.G.); (J.S.M.); (Z.T.)
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Müller WH, McCann A, Arias AA, Malherbe C, Quinton L, De Pauw E, Eppe G. Imaging Metabolites in Agar‐Based Bacterial Co‐Cultures with Minimal Sample Preparation using a DIUTHAME Membrane in Surface‐Assisted Laser Desorption/Ionization Mass Spectrometry**. ChemistrySelect 2022. [DOI: 10.1002/slct.202200734] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Wendy H. Müller
- Mass Spectrometry Laboratory MolSys Research Unit Department of Chemistry University of Liège Liège Belgium
| | - Andréa McCann
- Mass Spectrometry Laboratory MolSys Research Unit Department of Chemistry University of Liège Liège Belgium
| | - Anthony Argüelles Arias
- Microbial Processes and Interactions Laboratory Terra Teaching and Research Center Gembloux Agro-Bio Tech University of Liège Gembloux Belgium
| | - Cedric Malherbe
- Mass Spectrometry Laboratory MolSys Research Unit Department of Chemistry University of Liège Liège Belgium
| | - Loïc Quinton
- Mass Spectrometry Laboratory MolSys Research Unit Department of Chemistry University of Liège Liège Belgium
| | - Edwin De Pauw
- Mass Spectrometry Laboratory MolSys Research Unit Department of Chemistry University of Liège Liège Belgium
| | - Gauthier Eppe
- Mass Spectrometry Laboratory MolSys Research Unit Department of Chemistry University of Liège Liège Belgium
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Müller WH, Verdin A, De Pauw E, Malherbe C, Eppe G. Surface-assisted laser desorption/ionization mass spectrometry imaging: A review. Mass Spectrom Rev 2022; 41:373-420. [PMID: 33174287 PMCID: PMC9292874 DOI: 10.1002/mas.21670] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 10/22/2020] [Accepted: 10/24/2020] [Indexed: 05/04/2023]
Abstract
In the last decades, surface-assisted laser desorption/ionization mass spectrometry (SALDI-MS) has attracted increasing interest due to its unique capabilities, achievable through the nanostructured substrates used to promote the analyte desorption/ionization. While the most widely recognized asset of SALDI-MS is the untargeted analysis of small molecules, this technique also offers the possibility of targeted approaches. In particular, the implementation of SALDI-MS imaging (SALDI-MSI), which is the focus of this review, opens up new opportunities. After a brief discussion of the nomenclature and the fundamental mechanisms associated with this technique, which are still highly controversial, the analytical strategies to perform SALDI-MSI are extensively discussed. Emphasis is placed on the sample preparation but also on the selection of the nanosubstrate (in terms of chemical composition and morphology) as well as its functionalization possibilities for the selective analysis of specific compounds in targeted approaches. Subsequently, some selected applications of SALDI-MSI in various fields (i.e., biomedical, biological, environmental, and forensic) are presented. The strengths and the remaining limitations of SALDI-MSI are finally summarized in the conclusion and some perspectives of this technique, which has a bright future, are proposed in this section.
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Affiliation(s)
- Wendy H. Müller
- Mass Spectrometry Laboratory, MolSys Research Unit, Chemistry DepartmentUniversity of LiègeLiègeBelgium
| | - Alexandre Verdin
- Mass Spectrometry Laboratory, MolSys Research Unit, Chemistry DepartmentUniversity of LiègeLiègeBelgium
| | - Edwin De Pauw
- Mass Spectrometry Laboratory, MolSys Research Unit, Chemistry DepartmentUniversity of LiègeLiègeBelgium
| | - Cedric Malherbe
- Mass Spectrometry Laboratory, MolSys Research Unit, Chemistry DepartmentUniversity of LiègeLiègeBelgium
| | - Gauthier Eppe
- Mass Spectrometry Laboratory, MolSys Research Unit, Chemistry DepartmentUniversity of LiègeLiègeBelgium
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Cintron-Diaz YL, Gomez-Hernandez ME, Verhaert MMHA, Verhaert PDEM, Fernandez-Lima F. Spatially Resolved Neuropeptide Characterization from Neuropathological Formalin-Fixed, Paraffin-Embedded Tissue Sections by a Combination of Imaging MALDI FT-ICR Mass Spectrometry Histochemistry and Liquid Extraction Surface Analysis-Trapped Ion Mobility Spectrometry-Tandem Mass Spectrometry. J Am Soc Mass Spectrom 2022; 33:681-687. [PMID: 35258288 PMCID: PMC9390806 DOI: 10.1021/jasms.1c00376] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/08/2023]
Abstract
To make the vast collections of well-documented human clinical samples archived in biobanks accessible for mass spectrometry imaging (MSI), recent developments have focused on the label-free top-down MS analysis of neuropeptides in sections of formalin-fixed, paraffin-embedded (FFPE) tissues. In analogy to immunohistochemistry (IHC), this variant of MSI has been designated MSHC (mass spectrometry histochemistry). Besides the detection and localization of neuropeptide and other biomolecular MS signals in these FFPE samples, there is great interest in their molecular identification and full characterization. We here used matrix assisted laser desorption ionization (MALDI) MSI employing ultrahigh-resolution FT-ICR MS on 2,5-dihydroxybenzoic acid (DHB) coated five-micron sections of human FFPE pituitary to demonstrate clear isotope patterns and elemental composition assignment of neuropeptides (with ∼1 ppm mass accuracy). Besides tandem MS fragmentation pattern analysis to deduce or confirm amino acid sequence information (Arg-vasopressin for the case presented here), there is a need for orthogonal primary structure characterization of the peptide-like MS signals of biomolecules desorbed directly off FFPE tissue sections. In the present work, we performed liquid extraction surface analysis (LESA) extractions on consecutive (uncoated) tissue slices. This enables the successful characterization by ion mobility MS of vasopressin present in FFPE material. Differences in sequence coverage are discussed on the basis of the mobility selected collision induced dissociation (CID), electron capture dissociation (ECD), and UV photodissociation (UVPD) MS/MS. Using Arg-vasopressin as model case (a peptide with a disulfide bridged ring structure), we illustrate the use of LESA in combination with a reduction agent for effective sequencing using mobility selected CID, ECD, and UVPD MS/MS.
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Affiliation(s)
- Yarixa L Cintron-Diaz
- Department of Chemistry and Biochemistry, Florida International University, 11200 SW 8th Street, AHC4-233, Miami, Florida 33199, United States
| | - Mario E Gomez-Hernandez
- Department of Chemistry and Biochemistry, Florida International University, 11200 SW 8th Street, AHC4-233, Miami, Florida 33199, United States
| | - Marthe M H A Verhaert
- ProteoFormiX, JLABS@BE, Janssen Pharmaceutica Campus, Turnhoutseweg 30, B-2340 Beerse, Belgium
| | - Peter D E M Verhaert
- ProteoFormiX, JLABS@BE, Janssen Pharmaceutica Campus, Turnhoutseweg 30, B-2340 Beerse, Belgium
| | - Francisco Fernandez-Lima
- Department of Chemistry and Biochemistry, Florida International University, 11200 SW 8th Street, AHC4-233, Miami, Florida 33199, United States
- Biomolecular Science Institute, Florida International University, 11200 SW 8th Street, AHC4-233, Miami, Florida 33199, United States
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Guo S, Li K, Chen Y, Li B. Unraveling the drug distribution in brain enabled by MALDI MS imaging with laser-assisted chemical transfer. Acta Pharm Sin B 2022; 12:2120-2126. [PMID: 35847487 PMCID: PMC9279630 DOI: 10.1016/j.apsb.2021.11.007] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2021] [Revised: 10/24/2021] [Accepted: 11/03/2021] [Indexed: 12/15/2022] Open
Abstract
Accurate localization of central nervous system (CNS) drug distribution in the brain is quite challenging to matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI), owing to the ionization competition/suppression of highly abundant endogenous biomolecules and MALDI matrix. Herein, we developed a highly efficient sample preparation technique, laser-assisted chemical transfer (LACT), to enhance the detection sensitivity of CNS drugs in brain tissues. A focused diode laser source transilluminated the tissue slide coated with α-cyano-4-hydroxycinnamic acid, an optimal matrix to highly absorb the laser radiation at 405 nm, and a very thin-layer chemical film mainly containing drug molecule was transferred to the acceptor glass slide. Subsequently, MALDI MSI was performed on the chemical film without additional sample treatment. One major advantage of LACT is to minimize ionization competition/suppression from the tissue itself by removing abundant endogenous lipid and protein components. The superior performance of LACT led to the successful visualization of regional distribution patterns of 16 CNS drugs in the mouse brain. Furthermore, the dynamic spatial changes of risperidone and its metabolite were visualized over a 24-h period. Also, the brain-to-plasma (B/P) ratio could be obtained according to MALDI MSI results, providing an alternative means to assess brain penetration in drug discovery.
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45
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Zheng Q, Guo Z, Chen Y. Capillary array electrophoresis imaging of biochemicals in tissue sections. Talanta 2022; 240:123183. [PMID: 34996017 DOI: 10.1016/j.talanta.2021.123183] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 12/21/2021] [Accepted: 12/25/2021] [Indexed: 10/19/2022]
Abstract
It is of great significance to reveal the molecular distribution images in biological tissues, which has led to the bloom of mass spectrometry imaging. Unfortunately, its application is encountering the resistance of high technical barriers and equipment cost, as well as the inability to image substances that cannot be desorbed or ionized, or cannot be separated by their mass-to-charge ratios. Herein presented is a complementary and cost-effective method called capillary array electrophoresis (CAE) imaging. To have the information of molecules and their spatial location, a gridding cutter was fabricated to orderly dissect a tissue section into a leakproof array of micro wells enclosed by the grid-blade arrays. After in situ extraction and fluorophore-labeling of analytes, the samples in the wells were directly subjected to CAE-LIF (laser-induced fluorescence), and the molecular distribution images were depicted with the separated peaks. The practicability was demonstrated by CAE imaging of rat brain tissue sections with amino acid neurotransmitters (e.g., glutamine, 4-aminobutyric acid, alanine, glutamic acid and aspartic acid) as targets. The resultant images showed the global differences of molecular distributions, with a spatial resolution of 1000 μm that was presently determined by the well width but ultimately by the bore size of capillary (down to 10-50 μm). CAE imaging can hence be promising for its low cost, low technical barriers and abundant mechanisms to separate the charged and non-charged, chiral and non-chiral substances.
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Affiliation(s)
- Qingfeng Zheng
- 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
| | - Zhenpeng Guo
- 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.
| | - Yi Chen
- 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; Huaiyin Institute of Technology, Huaian, 223001, China; Beijing National Laboratory for Molecular Science, Beijing, 100190, China.
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46
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Wu ZH, Su Y, Luo ZF, Sun ZL, Gong ZH, Xiao LT. In Situ Visual Distribution of Gelsemine, Koumine, and Gelsenicine by MSI in Gelsemiumelegans at Different Growth Stages. Molecules 2022; 27:1810. [PMID: 35335173 DOI: 10.3390/molecules27061810] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Revised: 02/26/2022] [Accepted: 03/05/2022] [Indexed: 02/05/2023] Open
Abstract
The distribution of pharmatically important alkaloids gelsemine, koumine, and gelsenicine in Gelsemium elegans tissues is a hot topic attracting research attention. Regretfully, the in planta visual distribution details of these alkaloids are far from clear although several researches reported the alkaloid quantification in G. elegans by LC-MS/MS. In this study, mass imaging spectrometry (MSI) was employed to visualize the in situ visualization of gelsemine, koumine, and gelsenicine in different organs and tissues of G. elegans at different growth stages, and the relative quantification of three alkaloids were performed according to the image brightness intensities captured by the desorption electrospray ionization MSI (DESI-MSI). The results indicated that these alkaloids were mainly accumulated in pith region and gradually decreased from pith to epidermis. Interestingly, three alkaloids were found to be present in higher abundance in the leaf vein. Along with the growth and development, the accumulation of these alkaloids was gradually increased in root and stem. Moreover, we employed LC-MS/MS to quantify three alkaloids and further validated the in situ distributions. The content of koumine reached 249.2 μg/g in mature roots, 272.0 μg/g in mature leaves, and 149.1 μg/g in mature stems, respectively, which is significantly higher than that of gelsemine and gelsenicine in the same organ. This study provided an accurately in situ visualization of gelsemine, koumine, and gelsenicine in G. elegans, and would be helpful for understanding their accumulation in plant and guiding application.
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47
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Groven RVM, Nauta SP, Gruisen J, Claes BSR, Greven J, van Griensven M, Poeze M, Heeren RMA, Porta Siegel T, Cillero-Pastor B, Blokhuis TJ. Lipid Analysis of Fracture Hematoma With MALDI-MSI: Specific Lipids are Associated to Bone Fracture Healing Over Time. Front Chem 2022; 9:780626. [PMID: 35309042 PMCID: PMC8927282 DOI: 10.3389/fchem.2021.780626] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2021] [Accepted: 12/27/2021] [Indexed: 11/21/2022] Open
Abstract
Background: Fracture healing is a complex process, involving cell-cell interactions, various cytokines, and growth factors. Although fracture treatment improved over the last decades, a substantial part of all fractures shows delayed or absent healing. The fracture hematoma (fxh) is known to have a relevant role in this process, while the exact mechanisms by which it influences fracture healing are poorly understood. To improve strategies in fracture treatment, regulatory pathways in fracture healing need to be investigated. Lipids are important molecules in cellular signaling, inflammation, and metabolism, as well as key structural components of the cell. Analysis of the lipid spectrum in fxh may therefore reflect important events during the early healing phase. This study aims to develop a protocol for the determination of lipid signals over time, and the identification of lipids that contribute to these signals, with matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) in fxh in healthy fracture healing. Methods: Twelve fxh samples (6 porcine; 6 human) were surgically removed, snap frozen, sectioned, washed, and analyzed using MALDI-MSI in positive and negative ion mode at different time points after fracture (porcine: 72 h; human samples: range 1–19 days). A tissue preparation protocol for lipid analysis in fxh has been developed with both porcine and human fxh. Data were analyzed through principal component- and linear discriminant analyses. Results: A protocol for the preparation of fxh sections was developed and optimized. Although hematoma is a heterogeneous tissue, the intra-variability within fxh was smaller than the inter-variability between fxh. Distinctive m/z values were detected that contributed to the separation of three different fxh age groups: early (1–3 days), middle (6–10 days), and late (12–19 days). Identification of the distinctive m/z values provided a panel of specific lipids that showed a time dependent expression within fxh. Conclusion: This study shows that MALDI-MSI is a suitable analytical tool for lipid analysis in fxh and that lipid patterns within fxh are time-dependent. These lipid patterns within fxh may serve as a future diagnostic tool. These findings warrant further research into fxh analysis using MALDI-MSI and its possible clinical implications in fracture treatment.
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Affiliation(s)
- Rald V. M. Groven
- Division of Traumasurgery, Department of Surgery, Maastricht University Medical Center, Maastricht, Netherlands
- Department of Cell Biology-Inspired Tissue Engineering, MERLN Institute for Technology-Inspired Regenerative Medicine, Maastricht University, Maastricht, Netherlands
| | - Sylvia P. Nauta
- Division of Imaging Mass Spectrometry, Maastricht MultiModal Molecular Imaging (M4i) Institute, Maastricht University, Maastricht, Netherlands
- Department of Orthopedic Surgery and Traumasurgery, Maastricht University Medical Center, Maastricht, Netherlands
| | - Jane Gruisen
- Division of Traumasurgery, Department of Surgery, Maastricht University Medical Center, Maastricht, Netherlands
- Division of Imaging Mass Spectrometry, Maastricht MultiModal Molecular Imaging (M4i) Institute, Maastricht University, Maastricht, Netherlands
| | - Britt S. R. Claes
- Division of Imaging Mass Spectrometry, Maastricht MultiModal Molecular Imaging (M4i) Institute, Maastricht University, Maastricht, Netherlands
| | - Johannes Greven
- Department of Orthopaedics, Trauma and Reconstructive Surgery, University Hospital RWTH Aachen, Aachen, Germany
| | - Martijn van Griensven
- Department of Cell Biology-Inspired Tissue Engineering, MERLN Institute for Technology-Inspired Regenerative Medicine, Maastricht University, Maastricht, Netherlands
| | - Martijn Poeze
- Division of Traumasurgery, Department of Surgery, Maastricht University Medical Center, Maastricht, Netherlands
- NUTRIM, School for Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, Netherlands
| | - Ron M. A. Heeren
- Division of Imaging Mass Spectrometry, Maastricht MultiModal Molecular Imaging (M4i) Institute, Maastricht University, Maastricht, Netherlands
| | - Tiffany Porta Siegel
- Division of Imaging Mass Spectrometry, Maastricht MultiModal Molecular Imaging (M4i) Institute, Maastricht University, Maastricht, Netherlands
| | - Berta Cillero-Pastor
- Division of Imaging Mass Spectrometry, Maastricht MultiModal Molecular Imaging (M4i) Institute, Maastricht University, Maastricht, Netherlands
- *Correspondence: Berta Cillero-Pastor,
| | - Taco J. Blokhuis
- Division of Traumasurgery, Department of Surgery, Maastricht University Medical Center, Maastricht, Netherlands
- NUTRIM, School for Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, Netherlands
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48
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Bakker B, Vaes RDW, Aberle MR, Welbers T, Hankemeier T, Rensen SS, Olde Damink SWM, Heeren RMA. Preparing ductal epithelial organoids for high-spatial-resolution molecular profiling using mass spectrometry imaging. Nat Protoc 2022; 17:962-979. [PMID: 35181767 DOI: 10.1038/s41596-021-00661-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 11/08/2021] [Indexed: 12/24/2022]
Abstract
Organoid culture systems are self-renewing, three-dimensional (3D) models derived from pluripotent stem cells, adult derived stem cells or cancer cells that recapitulate key molecular and structural characteristics of their tissue of origin. They generally form into hollow structures with apical-basolateral polarization. Mass spectrometry imaging (MSI) is a powerful analytical method for detecting a wide variety of molecules in a single experiment while retaining their spatiotemporal distribution. Here we describe a protocol for preparing organoids for MSI that (1) preserves the 3D morphological structure of hollow organoids, (2) retains the spatiotemporal distribution of a vast array of molecules (3) and enables accurate molecular identification based on tandem mass spectrometry. The protocol specifically focuses on the collection and embedding of the organoids in gelatin, and gives recommendations for MSI-specific sample preparation, data acquisition and molecular identification by tandem mass spectrometry. This method is applicable to a wide range of organoids from different origins, and takes 1 d from organoid collection to MSI data acquisition.
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Affiliation(s)
- Brenda Bakker
- Maastricht MultiModal Molecular Imaging institute (M4I), Maastricht University, Maastricht, the Netherlands
| | - Rianne D W Vaes
- Department of Surgery, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, the Netherlands
| | - Merel R Aberle
- Department of Surgery, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, the Netherlands
| | - Tessa Welbers
- Department of Surgery, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, the Netherlands
| | - Thomas Hankemeier
- Leiden Academic Center for Drug Research, Division of System Biomedicine and Pharmacology, Leiden University, Leiden, the Netherlands
| | - Sander S Rensen
- Department of Surgery, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, the Netherlands
| | - Steven W M Olde Damink
- Department of Surgery, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, the Netherlands.,Department of General, Visceral and Transplant Surgery, University Hospital Aachen, Aachen, Germany
| | - Ron M A Heeren
- Maastricht MultiModal Molecular Imaging institute (M4I), Maastricht University, Maastricht, the Netherlands.
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49
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Høiem TS, Andersen MK, Martin-Lorenzo M, Longuespée R, Claes BSR, Nordborg A, Dewez F, Balluff B, Giampà M, Sharma A, Hagen L, Heeren RMA, Bathen TF, Giskeødegård GF, Krossa S, Tessem MB. An optimized MALDI MSI protocol for spatial detection of tryptic peptides in fresh frozen prostate tissue. Proteomics 2022; 22:e2100223. [PMID: 35170848 PMCID: PMC9285595 DOI: 10.1002/pmic.202100223] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 01/19/2022] [Accepted: 02/07/2022] [Indexed: 11/29/2022]
Abstract
MALDI MS imaging (MSI) is a powerful analytical tool for spatial peptide detection in heterogeneous tissues. Proper sample preparation is crucial to achieve high quality, reproducible measurements. Here we developed an optimized protocol for spatially resolved proteolytic peptide detection with MALDI time‐of‐flight MSI of fresh frozen prostate tissue sections. The parameters tested included four different tissue washes, four methods of protein denaturation, four methods of trypsin digestion (different trypsin densities, sprayers, and incubation times), and five matrix deposition methods (different sprayers, settings, and matrix concentrations). Evaluation criteria were the number of detected and excluded peaks, percentage of high mass peaks, signal‐to‐noise ratio, spatial localization, and average intensities of identified peptides, all of which were integrated into a weighted quality evaluation scoring system. Based on these scores, the optimized protocol included an ice‐cold EtOH+H2O wash, a 5 min heating step at 95°C, tryptic digestion incubated for 17h at 37°C and CHCA matrix deposited at a final amount of 1.8 μg/mm2. Including a heat‐induced protein denaturation step after tissue wash is a new methodological approach that could be useful also for other tissue types. This optimized protocol for spatial peptide detection using MALDI MSI facilitates future biomarker discovery in prostate cancer and may be useful in studies of other tissue types.
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Affiliation(s)
- Therese S Høiem
- Department of Circulation and Medical Imaging, NTNU - Norwegian University of Science and Technology, Trondheim, Norway
| | - Maria K Andersen
- Department of Circulation and Medical Imaging, NTNU - Norwegian University of Science and Technology, Trondheim, Norway
| | - Marta Martin-Lorenzo
- Maastricht MultiModal Molecular Imaging Institute (M4I), Maastricht University, Maastricht, Netherlands
| | - Rémi Longuespée
- Department of Clinical Pharmacology and Pharmacoepidemiology, Heidelberg University Hospital, Heidelberg, Germany
| | - Britt S R Claes
- Maastricht MultiModal Molecular Imaging Institute (M4I), Maastricht University, Maastricht, Netherlands
| | - Anna Nordborg
- Department of Biotechnology and Nanomedicine, SINTEF Industry, Trondheim, Norway
| | - Frédéric Dewez
- Maastricht MultiModal Molecular Imaging Institute (M4I), Maastricht University, Maastricht, Netherlands
| | - Benjamin Balluff
- Maastricht MultiModal Molecular Imaging Institute (M4I), Maastricht University, Maastricht, Netherlands
| | - Marco Giampà
- Department of Clinical and Molecular Medicine, NTNU - Norwegian University of Science and Technology, Trondheim, Norway
| | - Animesh Sharma
- Department of Clinical and Molecular Medicine, NTNU - Norwegian University of Science and Technology, Trondheim, Norway.,PROMEC Core Facility for Proteomics and Modomics, NTNU - Norwegian University of Science and Technology and the Central Norway Regional Health Authority Norway, Trondheim, Norway
| | - Lars Hagen
- Department of Clinical and Molecular Medicine, NTNU - Norwegian University of Science and Technology, Trondheim, Norway.,PROMEC Core Facility for Proteomics and Modomics, NTNU - Norwegian University of Science and Technology and the Central Norway Regional Health Authority Norway, Trondheim, Norway.,Clinic of Laboratory Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Ron M A Heeren
- Maastricht MultiModal Molecular Imaging Institute (M4I), Maastricht University, Maastricht, Netherlands
| | - Tone F Bathen
- Department of Circulation and Medical Imaging, NTNU - Norwegian University of Science and Technology, Trondheim, Norway.,Department of radiology and nuclear medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Guro F Giskeødegård
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU - Norwegian University of Science and Technology, Trondheim, Norway
| | - Sebastian Krossa
- Department of Circulation and Medical Imaging, NTNU - Norwegian University of Science and Technology, Trondheim, Norway
| | - May-Britt Tessem
- Department of Circulation and Medical Imaging, NTNU - Norwegian University of Science and Technology, Trondheim, Norway.,Department of Surgery, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
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50
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Vandergrift GW, Kew W, Lukowski JK, Bhattacharjee A, Liyu AV, Shank EA, Paša-Tolić L, Prabhakaran V, Anderton CR. Imaging and Direct Sampling Capabilities of Nanospray Desorption Electrospray Ionization with Absorption-Mode 21 Tesla Fourier Transform Ion Cyclotron Resonance Mass Spectrometry. Anal Chem 2022; 94:3629-3636. [PMID: 35167251 DOI: 10.1021/acs.analchem.1c05216] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/28/2022]
Abstract
Nanospray desorption electrospray ionization mass spectrometry, a powerful ambient sampling and imaging technique, is herein coupled as an isolated source with 21 Tesla (21T) Fourier transform ion cyclotron resonance mass spectrometry (FTICR MS). Absorption-mode data, enabled by an external data acquisition system, is applied for improved mass resolution, accuracy, and dynamic range without compromising spectral acquisition rates. Isotopic fine structure (IFS) information is obtained from the ambient sampling of living Bacillus and Fusarium species, allowing for high confidence in molecular annotations with a resolution >830 k (at m/z 825). Tandem mass spectrometry experiments for biological samples are shown to retain the IFS in addition to gained fragmentation information, providing a further degree of annotation confidence from ambient analyses. Rat brain was imaged by nanospray desorption electrospray ionization (nano-DESI) 21T FTICR MS in ∼5 h using 768 ms transients, producing over 800 molecular annotations using the METASPACE platform and low-parts-per-billion mass accuracy at a spatial resolution of ∼25 × 180 μm. Finally, nano-DESI 21T FTICR MS imaging is demonstrated to reveal images corresponding to the IFS, as well as hundreds of additional molecular features (including demonstrated differences as low as 8.96 mDa) that are otherwise undetected by a more conventional imaging methodology.
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Affiliation(s)
- Gregory W Vandergrift
- Environmental Molecular Sciences Laboratory and Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - William Kew
- Environmental Molecular Sciences Laboratory and Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Jessica K Lukowski
- Environmental Molecular Sciences Laboratory and Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Arunima Bhattacharjee
- Environmental Molecular Sciences Laboratory and Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Andrey V Liyu
- Environmental Molecular Sciences Laboratory and Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Elizabeth A Shank
- University of Massachusetts Chan Medical School, Worcester, Massachusetts 01655, United States
| | - Ljiljana Paša-Tolić
- Environmental Molecular Sciences Laboratory and Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
| | - Venkateshkumar Prabhakaran
- Physical Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States.,The Gene & Linda Voil and School of Chemical Engineering and Bioengineering, Washington State University, Pullman, Washington 99164, United States
| | - Christopher R Anderton
- Environmental Molecular Sciences Laboratory and Biological Sciences Division, Pacific Northwest National Laboratory, Richland, Washington 99354, United States
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