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Liang Z, Guo Y, Ellin N, King TI, Berthold EC, Mukhopadhyay S, Sharma A, McCurdy CR, Prentice BM. Formation of multiple ion types during MALDI imaging mass spectrometry analysis of Mitragyna speciosa alkaloids in dosed rat brain tissue. Talanta 2024; 274:125923. [PMID: 38569366 DOI: 10.1016/j.talanta.2024.125923] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2024] [Revised: 03/08/2024] [Accepted: 03/13/2024] [Indexed: 04/05/2024]
Abstract
Mitragyna speciosa, more commonly known as kratom, has emerged as an alternative to treat chronic pain and addiction. However, the alkaloid components of kratom, which are the major contributors to kratom's pharmaceutical properties, have not yet been fully investigated. In this study, matrix-assisted laser desorption/ionization (MALDI) imaging mass spectrometry was used to map the biodistribution of three alkaloids (corynantheidine, mitragynine, and speciogynine) in rat brain tissues. The alkaloids produced three main ion types during MALDI analysis: [M + H]+, [M - H]+, and [M - 3H]+. Contrary to previous reports suggesting that the [M - H]+ and [M - 3H]+ ion types form during laser ablation, these ion types can also be produced during the MALDI matrix application process. Several strategies are proposed to accurately map the biodistribution of the alkaloids. Due to differences in the relative abundances of the ions in different biological regions of the tissue, differences in ionization efficiencies of the ions, and potential overlap of the [M - H]+ and [M - 3H]+ ion types with endogenous metabolites of the same empirical formula, a matrix that mainly produces the [M + H]+ ion type is optimal for accurate mapping of the alkaloids. Alternatively, the most abundant ion type can be mapped or the intensities of all ion types can be summed together to generate a composite image. The accuracy of each of these approaches is explored and validated.
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Affiliation(s)
- Zhongling Liang
- Department of Chemistry, University of Florida, Gainesville, FL 32611, USA
| | - Yingchan Guo
- Department of Chemistry, University of Florida, Gainesville, FL 32611, USA
| | - Nicholas Ellin
- Department of Chemistry, University of Florida, Gainesville, FL 32611, USA
| | - Tamara I King
- Department of Pharmaceutics, College of Pharmacy, University of Florida, Gainesville, FL 32610, USA
| | - Erin C Berthold
- Department of Pharmaceutics, College of Pharmacy, University of Florida, Gainesville, FL 32610, USA
| | - Sushobhan Mukhopadhyay
- Department of Pharmaceutics, College of Pharmacy, University of Florida, Gainesville, FL 32610, USA; Department of Medicinal Chemistry, College of Pharmacy, University of Florida, Gainesville, FL 32610, USA
| | - Abhisheak Sharma
- Department of Pharmaceutics, College of Pharmacy, University of Florida, Gainesville, FL 32610, USA
| | - Christopher R McCurdy
- Department of Pharmaceutics, College of Pharmacy, University of Florida, Gainesville, FL 32610, USA; Department of Medicinal Chemistry, College of Pharmacy, University of Florida, Gainesville, FL 32610, USA
| | - Boone M Prentice
- Department of Chemistry, University of Florida, Gainesville, FL 32611, USA.
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2
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Otsuka Y, Ote N, Sun M, Shimma S, Urakawa O, Yamaguchi S, Kudo T, Toyoda M. Solvent effects of N, N-dimethylformamide and methanol on mass spectrometry imaging by tapping-mode scanning probe electrospray ionization. Analyst 2023; 148:1275-1284. [PMID: 36810589 DOI: 10.1039/d2an01953a] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/22/2023]
Abstract
Mass spectrometry imaging (MSI) is an effective technique for visualizing the distribution of lipids in tissues. The direct extraction-ionization methods using minute volumes of solvent for local components have the advantage of rapid measurement without any sample pretreatment. For effective MSI of tissues, it is necessary to understand the effect of solvent physicochemical properties on ion images. In this study, we report solvent effects on the lipid imaging of mouse brain tissue by tapping-mode scanning probe electrospray ionization (t-SPESI) which is capable of extraction-ionization using sub-pL solvents. To precisely measure lipid ions, we developed a measurement system incorporating a quadrupole-time-of-flight mass spectrometer. The differences in signal intensity and spatial resolution of lipid ion images were investigated using N,N-dimethylformamide (non-protic polar solvent), methanol (protic polar solvent) and their mixture. The mixed solvent was suitable for the protonation of lipids, and it provided high spatial resolution MSI. Results indicate that the mixed solvent improves the extractant transfer efficiency and minimizes charged droplets from an electrospray. The solvent selectivity study revealed the importance of solvent selection based on physicochemical properties for the advancement of MSI by t-SPESI.
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Affiliation(s)
- Yoichi Otsuka
- Department of Physics, Graduate School of Science, Osaka University, Japan. .,JST, PREST, Japan.,Forefront Research Center, Graduate School of Science, Osaka University, Japan
| | - Nijiho Ote
- Department of Biological Sciences, School of Science, Osaka Universit, Japan
| | - Mengze Sun
- Department of Physics, Graduate School of Science, Osaka University, Japan.
| | - Shuichi Shimma
- Department of Biotechnology, Graduate School of Engineering, Osaka University, Japan
| | - Osamu Urakawa
- Department of Chemistry, Graduate School of Science, Osaka University, Japan
| | | | | | - Michisato Toyoda
- Department of Physics, Graduate School of Science, Osaka University, Japan. .,Forefront Research Center, Graduate School of Science, Osaka University, Japan
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3
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Mallah K, Zibara K, Kerbaj C, Eid A, Khoshman N, Ousseily Z, Kobeissy A, Cardon T, Cizkova D, Kobeissy F, Fournier I, Salzet M. Neurotrauma investigation through spatial omics guided by mass spectrometry imaging: Target identification and clinical applications. MASS SPECTROMETRY REVIEWS 2023; 42:189-205. [PMID: 34323300 DOI: 10.1002/mas.21719] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2021] [Revised: 07/04/2021] [Accepted: 07/11/2021] [Indexed: 06/13/2023]
Abstract
Traumatic brain injury (TBI) represents one of the major public health concerns worldwide due to the increase in TBI incidence as a result of injuries from daily life accidents such as sports and motor vehicle transportation as well as military-related practices. This type of central nervous system trauma is known to predispose patients to several neurological disorders such as Parkinson's disease, Alzheimer's disease, chronic trauamatic encephalopathy, and age-related Dementia. Recently, several proteomic and lipidomic platforms have been applied on different TBI studies to investigate TBI-related mechanisms that have broadened our understanding of its distinct neuropathological complications. In this study, we provide an updated comprehensive overview of the current knowledge and novel perspectives of the spatially resolved microproteomics and microlipidomics approaches guided by mass spectrometry imaging used in TBI studies and its applications in the neurotrauma field. In this regard, we will discuss the use of the spatially resolved microproteomics and assess the different microproteomic sampling methods such as laser capture microdissection, parafilm assisted microdissection, and liquid microjunction extraction as accurate and precise techniques in the field of neuroproteomics. Additionally, we will highlight lipid profiling applications and their prospective potentials in characterizing molecular processes involved in the field of TBI. Specifically, we will discuss the phospholipid metabolism acting as a precursor for proinflammatory molecules such as eicosanoids. Finally, we will survey the current state of spatial neuroproteomics and microproteomics applications and present the various studies highlighting their findings in these fields.
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Affiliation(s)
- Khalil Mallah
- Department of Microbiology and Immunology, Medical University of South Carolina, Charleston, South Carolina, USA
- PRASE, Lebanese University, Beirut, Lebanon
- Univ.Lille, Inserm, CHU Lille, U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Lille, France
| | - Kazem Zibara
- PRASE, Lebanese University, Beirut, Lebanon
- Department of Biology, Faculty of Sciences-I, Lebanese University, Beirut, Lebanon
| | - Coline Kerbaj
- Department of Biology, Faculty of Sciences-I, Lebanese University, Beirut, Lebanon
| | - Ali Eid
- Department of Basic Medical Sciences, QU Health, Qatar University, Doha, Qatar
| | - Nour Khoshman
- Department of Biology, Faculty of Sciences-I, Lebanese University, Beirut, Lebanon
| | - Zahraa Ousseily
- Department of Biology, Faculty of Sciences-I, Lebanese University, Beirut, Lebanon
| | - Abir Kobeissy
- Department of Biochemistry and Molecular Genetics, Faculty of Medicine, American University of Beirut, Beirut, Lebanon
| | - Tristan Cardon
- Univ.Lille, Inserm, CHU Lille, U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Lille, France
| | - Dasa Cizkova
- Univ.Lille, Inserm, CHU Lille, U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Lille, France
- Center for Experimental and Clinical Regenerative Medicine, University of Veterinary Medicine and Pharmacy in Košice, Košice, Slovakia
| | - Firas Kobeissy
- Department of Biochemistry and Molecular Genetics, Faculty of Medicine, American University of Beirut, Beirut, Lebanon
| | - Isabelle Fournier
- Univ.Lille, Inserm, CHU Lille, U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Lille, France
- Institut Universitaire de France, Paris, France
| | - Michel Salzet
- Univ.Lille, Inserm, CHU Lille, U1192, Laboratoire Protéomique, Réponse Inflammatoire et Spectrométrie de Masse (PRISM), Lille, France
- Institut Universitaire de France, Paris, France
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4
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Harvey DJ. Analysis of carbohydrates and glycoconjugates by matrix-assisted laser desorption/ionization mass spectrometry: An update for 2017-2018. MASS SPECTROMETRY REVIEWS 2023; 42:227-431. [PMID: 34719822 DOI: 10.1002/mas.21721] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2021] [Revised: 07/26/2021] [Accepted: 07/26/2021] [Indexed: 06/13/2023]
Abstract
This review is the tenth update of the original article published in 1999 on the application of matrix-assisted laser desorption/ionization mass spectrometry (MALDI) mass spectrometry to the analysis of carbohydrates and glycoconjugates and brings coverage of the literature to the end of 2018. Also included are papers that describe methods appropriate to glycan and glycoprotein analysis by MALDI, such as sample preparation techniques, even though the ionization method is not MALDI. Topics covered in the first part of the review include general aspects such as theory of the MALDI process, new methods, matrices, derivatization, MALDI imaging, fragmentation and the use of arrays. The second part of the review is devoted to applications to various structural types such as oligo- and poly-saccharides, glycoproteins, glycolipids, glycosides, and biopharmaceuticals. Most of the applications are presented in tabular form. The third part of the review covers medical and industrial applications of the technique, studies of enzyme reactions, and applications to chemical synthesis. The reported work shows increasing use of combined new techniques such as ion mobility and highlights the impact that MALDI imaging is having across a range of diciplines. MALDI is still an ideal technique for carbohydrate analysis and advancements in the technique and the range of applications continue steady progress.
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Affiliation(s)
- David J Harvey
- Nuffield Department of Medicine, Target Discovery Institute, University of Oxford, Oxford, UK
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Emre C, Do KV, Jun B, Hjorth E, Alcalde SG, Kautzmann MAI, Gordon WC, Nilsson P, Bazan NG, Schultzberg M. Age-related changes in brain phospholipids and bioactive lipids in the APP knock-in mouse model of Alzheimer's disease. Acta Neuropathol Commun 2021; 9:116. [PMID: 34187579 PMCID: PMC8244172 DOI: 10.1186/s40478-021-01216-4] [Citation(s) in RCA: 29] [Impact Index Per Article: 9.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2021] [Accepted: 06/08/2021] [Indexed: 12/19/2022] Open
Abstract
Sustained brain chronic inflammation in Alzheimer’s disease (AD) includes glial cell activation, an increase in cytokines and chemokines, and lipid mediators (LMs), concomitant with decreased pro-homeostatic mediators. The inflammatory response at the onset of pathology engages activation of pro-resolving, pro-homeostatic LMs followed by a gradual decrease. We used an APP knock-in (App KI) AD mouse that accumulates β-amyloid (Aβ) and presents cognitive deficits (at 2 and 6 months of age, respectively) to investigate LMs, their precursors, biosynthetic enzymes and receptors, glial activation, and inflammatory proteins in the cerebral cortex and hippocampus at 2-, 4-, 8- and 18-month-old in comparison with wild-type (WT) mice. We used LC-mass-spectrometry and MALDI molecular imaging to analyze LMs and phospholipids, and immunochemistry for proteins. Our results revealed an age-specific lipid and cytokine profile, and glial activation in the App KI mice. Despite an early onset of Aβ pathology, pro-inflammatory and pro-resolving LMs were prominently increased only in the oldest age group. Furthermore, the LM biosynthetic enzymes increased, and their receptor expression decreased in the aged App KI mice. Arachidonic acid (AA)-containing phospholipid molecular species were elevated, correlating with decreased cPLA2 activity. MALDI molecular imaging depicted differential distribution of phospholipids according to genotype in hippocampal layers. Brain histology disclosed increased microglia proliferation starting from young age in the App KI mice, while astrocyte numbers were enhanced in older ages. Our results demonstrate that the brain lipidome is modified preferentially during aging as compared to amyloid pathology in the model studied here. However, alterations in phospholipids signal early pathological changes in membrane composition.
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Janda M, Seah BKB, Jakob D, Beckmann J, Geier B, Liebeke M. Determination of Abundant Metabolite Matrix Adducts Illuminates the Dark Metabolome of MALDI-Mass Spectrometry Imaging Datasets. Anal Chem 2021; 93:8399-8407. [PMID: 34097397 PMCID: PMC8223199 DOI: 10.1021/acs.analchem.0c04720] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
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Spatial metabolomics
using mass spectrometry imaging (MSI) is a
powerful tool to map hundreds to thousands of metabolites in biological
systems. One major challenge in MSI is the annotation of m/z values, which is substantially complicated by
background ions introduced throughout the chemicals and equipment
used during experimental procedures. Among many factors, the formation
of adducts with sodium or potassium ions, or in case of matrix-assisted
laser desorption ionization (MALDI)-MSI, the presence of abundant
matrix clusters strongly increases total m/z peak counts. Currently, there is a limitation to identify
the chemistry of the many unknown peaks to interpret their biological
function. We took advantage of the co-localization of adducts with
their parent ions and the accuracy of high mass resolution to estimate
adduct abundance in 20 datasets from different vendors of mass spectrometers.
Metabolites ranging from lipids to amines and amino acids form matrix
adducts with the commonly used 2,5-dihydroxybenzoic acid (DHB) matrix
like [M + (DHB-H2O) + H]+ and [M + DHB + Na]+. Current data analyses neglect those matrix adducts and overestimate
total metabolite numbers, thereby expanding the number of unidentified
peaks. Our study demonstrates that MALDI-MSI data are strongly influenced
by adduct formation across different sample types and vendor platforms
and reveals a major influence of so far unrecognized metabolite–matrix
adducts on total peak counts (up to one third). We developed a software
package, mass2adduct, for the community
for an automated putative assignment and quantification of metabolite–matrix
adducts enabling users to ultimately focus on the biologically relevant
portion of the MSI data.
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Affiliation(s)
- Moritz Janda
- Max Planck Institute for Marine Microbiology, Celsiusstrasse 1, 28359 Bremen, Germany
| | - Brandon K B Seah
- Max Planck Institute for Marine Microbiology, Celsiusstrasse 1, 28359 Bremen, Germany
| | - Dennis Jakob
- Max Planck Institute for Marine Microbiology, Celsiusstrasse 1, 28359 Bremen, Germany
| | - Janine Beckmann
- Max Planck Institute for Marine Microbiology, Celsiusstrasse 1, 28359 Bremen, Germany
| | - Benedikt Geier
- Max Planck Institute for Marine Microbiology, Celsiusstrasse 1, 28359 Bremen, Germany
| | - Manuel Liebeke
- Max Planck Institute for Marine Microbiology, Celsiusstrasse 1, 28359 Bremen, Germany
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Garate J, Maimó-Barceló A, Bestard-Escalas J, Fernández R, Pérez-Romero K, Martínez MA, Payeras MA, Lopez DH, Fernández JA, Barceló-Coblijn G. A Drastic Shift in Lipid Adducts in Colon Cancer Detected by MALDI-IMS Exposes Alterations in Specific K + Channels. Cancers (Basel) 2021; 13:cancers13061350. [PMID: 33802791 PMCID: PMC8061771 DOI: 10.3390/cancers13061350] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2021] [Revised: 03/04/2021] [Accepted: 03/10/2021] [Indexed: 01/12/2023] Open
Abstract
Even though colorectal cancer (CRC) is one of the most preventable cancers, it is one of the deadliest, and recent data show that the incidence in people <50 years has unexpectedly increased. While new techniques for CRC molecular classification are emerging, no molecular feature is as yet firmly associated with prognosis. Imaging mass spectrometry (IMS) lipidomic analyses have demonstrated the specificity of the lipid fingerprint in differentiating pathological from healthy tissues. During IMS lipidomic analysis, the formation of ionic adducts is common. Of particular interest is the [Na+]/[K+] adduct ratio, which already functions as a biomarker for homeostatic alterations. Herein, we show a drastic shift of the [Na+]/[K+] adduct ratio in adenomatous colon mucosa compared to healthy mucosa, suggesting a robust increase in K+ levels. Interrogating public databases, a strong association was found between poor diagnosis and voltage-gated potassium channel subunit beta-2 (KCNAB2) overexpression. We found this overexpression in three CRC molecular subtypes defined by the CRC Subtyping Consortium, making KCNAB2 an interesting pharmacological target. Consistently, its pharmacological inhibition resulted in a dramatic halt in commercial CRC cell proliferation. Identification of potential pharmacologic targets using lipid adduct information emphasizes the great potential of IMS lipidomic techniques in the clinical field.
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Affiliation(s)
- Jone Garate
- Department of Physical Chemistry, University of the Basque Country (UPV/EHU), 48940 Leioa, Spain; (J.G.); (R.F.); (J.A.F.)
| | - Albert Maimó-Barceló
- Institut d’Investigació Sanitària Illes Balears (IdISBa, Health Research Institute of the Balearic Islands), 07120 Palma, Spain; (A.M.-B.); (J.B.-E.); (K.P.-R.); (M.A.M.); (M.A.P.); (D.H.L.)
- Research Unit, Hospital Universitari Son Espases, 07120 Palma, Spain
| | - Joan Bestard-Escalas
- Institut d’Investigació Sanitària Illes Balears (IdISBa, Health Research Institute of the Balearic Islands), 07120 Palma, Spain; (A.M.-B.); (J.B.-E.); (K.P.-R.); (M.A.M.); (M.A.P.); (D.H.L.)
- Research Unit, Hospital Universitari Son Espases, 07120 Palma, Spain
| | - Roberto Fernández
- Department of Physical Chemistry, University of the Basque Country (UPV/EHU), 48940 Leioa, Spain; (J.G.); (R.F.); (J.A.F.)
- Research Department, IMG Pharma Biotech S.L., BIC Bizkaia (612), 48160 Derio, Spain
| | - Karim Pérez-Romero
- Institut d’Investigació Sanitària Illes Balears (IdISBa, Health Research Institute of the Balearic Islands), 07120 Palma, Spain; (A.M.-B.); (J.B.-E.); (K.P.-R.); (M.A.M.); (M.A.P.); (D.H.L.)
- Research Unit, Hospital Universitari Son Espases, 07120 Palma, Spain
| | - Marco A. Martínez
- Institut d’Investigació Sanitària Illes Balears (IdISBa, Health Research Institute of the Balearic Islands), 07120 Palma, Spain; (A.M.-B.); (J.B.-E.); (K.P.-R.); (M.A.M.); (M.A.P.); (D.H.L.)
- Pathology Anatomy Unit, Hospital Universitari Son Espases, 07120 Palma, Spain
| | - Mª Antònia Payeras
- Institut d’Investigació Sanitària Illes Balears (IdISBa, Health Research Institute of the Balearic Islands), 07120 Palma, Spain; (A.M.-B.); (J.B.-E.); (K.P.-R.); (M.A.M.); (M.A.P.); (D.H.L.)
- Gastroenterology Unit, Hospital Universitari Son Espases, 07120 Palma, Spain
| | - Daniel H. Lopez
- Institut d’Investigació Sanitària Illes Balears (IdISBa, Health Research Institute of the Balearic Islands), 07120 Palma, Spain; (A.M.-B.); (J.B.-E.); (K.P.-R.); (M.A.M.); (M.A.P.); (D.H.L.)
- Research Unit, Hospital Universitari Son Espases, 07120 Palma, Spain
| | - José Andrés Fernández
- Department of Physical Chemistry, University of the Basque Country (UPV/EHU), 48940 Leioa, Spain; (J.G.); (R.F.); (J.A.F.)
| | - Gwendolyn Barceló-Coblijn
- Institut d’Investigació Sanitària Illes Balears (IdISBa, Health Research Institute of the Balearic Islands), 07120 Palma, Spain; (A.M.-B.); (J.B.-E.); (K.P.-R.); (M.A.M.); (M.A.P.); (D.H.L.)
- Research Unit, Hospital Universitari Son Espases, 07120 Palma, Spain
- Correspondence: ; Tel.: +34-871-205-000 (ext. 66300)
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Garate J, Lage S, Martín-Saiz L, Perez-Valle A, Ochoa B, Boyano MD, Fernández R, Fernández JA. Influence of Lipid Fragmentation in the Data Analysis of Imaging Mass Spectrometry Experiments. JOURNAL OF THE AMERICAN SOCIETY FOR MASS SPECTROMETRY 2020; 31:517-526. [PMID: 32126773 DOI: 10.1021/jasms.9b00090] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/10/2023]
Abstract
Imaging mass spectrometry (IMS) is becoming an essential technique in lipidomics. Still, many questions remain open, precluding it from achieving its full potential. Among them, identification of species directly from the tissue is of paramount importance. However, it is not an easy task, due to the abundance and variety of lipid species, their numerous fragmentation pathways, and the formation of a significant number of adducts, both with the matrix and with the cations present in the tissue. Here, we explore the fragmentation pathways of 17 lipid classes, demonstrating that in-source fragmentation hampers identification of some lipid species. Then, we analyze what type of adducts each class is more prone to form. Finally, we use that information together with data from on-tissue MS/MS and MS3 to refine the peak assignment in a real experiment over sections of human nevi, to demonstrate that statistical analysis of the data is significantly more robust if unwanted peaks due to fragmentation, matrix, and other species that only introduce noise in the analysis are excluded.
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Affiliation(s)
| | | | | | | | | | - M Dolores Boyano
- Health Research Institute, Cruces University Hospital, Barakaldo, Spain
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Confirmation of sub-cellular resolution using oversampling imaging mass spectrometry. Anal Bioanal Chem 2019; 411:7935-7941. [DOI: 10.1007/s00216-019-02212-3] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Revised: 10/04/2019] [Accepted: 10/11/2019] [Indexed: 01/26/2023]
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10
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Imaging Mass Spectrometry–Based Lipidomic Approach to Classification of Architectural Features in Nevi. J Invest Dermatol 2019; 139:2055-2058.e7. [DOI: 10.1016/j.jid.2019.01.031] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2018] [Revised: 01/14/2019] [Accepted: 01/17/2019] [Indexed: 11/23/2022]
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