Matrix Selection for the Visualization of Small Molecules and Lipids in Brain Tumors Using Untargeted MALDI-TOF Mass Spectrometry Imaging
Matrix-assisted laser desorption/ionization mass spectrometry imaging allows for the study of metabolic activity in the tumor microenvironment of brain cancers. The detectable metabolites within these tumors are contingent upon the choice of matrix, deposition technique, and polarity setting. In thi...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-11-01
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| Series: | Metabolites |
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| Online Access: | https://www.mdpi.com/2218-1989/13/11/1139 |
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| author | Tianyao Lu Lutz Freytag Vinod K. Narayana Zachery Moore Shannon J. Oliver Adam Valkovic Brunda Nijagal Amanda L. Peterson David P. de Souza Malcolm J. McConville James R. Whittle Sarah A. Best Saskia Freytag |
| author_facet | Tianyao Lu Lutz Freytag Vinod K. Narayana Zachery Moore Shannon J. Oliver Adam Valkovic Brunda Nijagal Amanda L. Peterson David P. de Souza Malcolm J. McConville James R. Whittle Sarah A. Best Saskia Freytag |
| author_sort | Tianyao Lu |
| collection | DOAJ |
| description | Matrix-assisted laser desorption/ionization mass spectrometry imaging allows for the study of metabolic activity in the tumor microenvironment of brain cancers. The detectable metabolites within these tumors are contingent upon the choice of matrix, deposition technique, and polarity setting. In this study, we compared the performance of three different matrices, two deposition techniques, and the use of positive and negative polarity in two different brain cancer types and across two species. Optimal combinations were confirmed by a comparative analysis of lipid and small-molecule abundance by using liquid chromatography–mass spectrometry and RNA sequencing to assess differential metabolites and enzymes between normal and tumor regions. Our findings indicate that in the tumor-bearing brain, the recrystallized α-cyano-4-hydroxycinnamic acid matrix with positive polarity offered superior performance for both detected metabolites and consistency with other techniques. Beyond these implications for brain cancer, our work establishes a workflow to identify optimal matrices for spatial metabolomics studies. |
| first_indexed | 2024-03-09T16:37:13Z |
| format | Article |
| id | doaj.art-73a321252ad34bad8514e084e50fd8a7 |
| institution | Directory Open Access Journal |
| issn | 2218-1989 |
| language | English |
| last_indexed | 2024-03-09T16:37:13Z |
| publishDate | 2023-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Metabolites |
| spelling | doaj.art-73a321252ad34bad8514e084e50fd8a72023-11-24T14:55:28ZengMDPI AGMetabolites2218-19892023-11-011311113910.3390/metabo13111139Matrix Selection for the Visualization of Small Molecules and Lipids in Brain Tumors Using Untargeted MALDI-TOF Mass Spectrometry ImagingTianyao Lu0Lutz Freytag1Vinod K. Narayana2Zachery Moore3Shannon J. Oliver4Adam Valkovic5Brunda Nijagal6Amanda L. Peterson7David P. de Souza8Malcolm J. McConville9James R. Whittle10Sarah A. Best11Saskia Freytag12Personalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Melbourne 3052, AustraliaPersonalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Melbourne 3052, AustraliaMetabolomics Australia, Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Melbourne 3010, AustraliaPersonalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Melbourne 3052, AustraliaPersonalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Melbourne 3052, AustraliaPersonalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Melbourne 3052, AustraliaMetabolomics Australia, Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Melbourne 3010, AustraliaMetabolomics Australia, Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Melbourne 3010, AustraliaMetabolomics Australia, Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Melbourne 3010, AustraliaMetabolomics Australia, Bio21 Molecular Science and Biotechnology Institute, The University of Melbourne, Melbourne 3010, AustraliaPersonalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Melbourne 3052, AustraliaPersonalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Melbourne 3052, AustraliaPersonalised Oncology Division, The Walter and Eliza Hall Institute of Medical Research, Melbourne 3052, AustraliaMatrix-assisted laser desorption/ionization mass spectrometry imaging allows for the study of metabolic activity in the tumor microenvironment of brain cancers. The detectable metabolites within these tumors are contingent upon the choice of matrix, deposition technique, and polarity setting. In this study, we compared the performance of three different matrices, two deposition techniques, and the use of positive and negative polarity in two different brain cancer types and across two species. Optimal combinations were confirmed by a comparative analysis of lipid and small-molecule abundance by using liquid chromatography–mass spectrometry and RNA sequencing to assess differential metabolites and enzymes between normal and tumor regions. Our findings indicate that in the tumor-bearing brain, the recrystallized α-cyano-4-hydroxycinnamic acid matrix with positive polarity offered superior performance for both detected metabolites and consistency with other techniques. Beyond these implications for brain cancer, our work establishes a workflow to identify optimal matrices for spatial metabolomics studies.https://www.mdpi.com/2218-1989/13/11/1139MALDI-TOFatmospheric pressurematrix selectionbrain cancerglioma |
| spellingShingle | Tianyao Lu Lutz Freytag Vinod K. Narayana Zachery Moore Shannon J. Oliver Adam Valkovic Brunda Nijagal Amanda L. Peterson David P. de Souza Malcolm J. McConville James R. Whittle Sarah A. Best Saskia Freytag Matrix Selection for the Visualization of Small Molecules and Lipids in Brain Tumors Using Untargeted MALDI-TOF Mass Spectrometry Imaging Metabolites MALDI-TOF atmospheric pressure matrix selection brain cancer glioma |
| title | Matrix Selection for the Visualization of Small Molecules and Lipids in Brain Tumors Using Untargeted MALDI-TOF Mass Spectrometry Imaging |
| title_full | Matrix Selection for the Visualization of Small Molecules and Lipids in Brain Tumors Using Untargeted MALDI-TOF Mass Spectrometry Imaging |
| title_fullStr | Matrix Selection for the Visualization of Small Molecules and Lipids in Brain Tumors Using Untargeted MALDI-TOF Mass Spectrometry Imaging |
| title_full_unstemmed | Matrix Selection for the Visualization of Small Molecules and Lipids in Brain Tumors Using Untargeted MALDI-TOF Mass Spectrometry Imaging |
| title_short | Matrix Selection for the Visualization of Small Molecules and Lipids in Brain Tumors Using Untargeted MALDI-TOF Mass Spectrometry Imaging |
| title_sort | matrix selection for the visualization of small molecules and lipids in brain tumors using untargeted maldi tof mass spectrometry imaging |
| topic | MALDI-TOF atmospheric pressure matrix selection brain cancer glioma |
| url | https://www.mdpi.com/2218-1989/13/11/1139 |
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