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Unravel the Local Complexity of Biological Environments by MALDI Mass Spectrometry Imaging
Classic metabolomic methods have proven to be very useful to study functional biology and variation in the chemical composition of different tissues. However, they do not provide any information in terms of spatial localization within fine structures. Matrix-assisted laser desorption ionization mass...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8623934/ https://www.ncbi.nlm.nih.gov/pubmed/34830273 http://dx.doi.org/10.3390/ijms222212393 |
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author | Sgobba, Elvira Daguerre, Yohann Giampà, Marco |
author_facet | Sgobba, Elvira Daguerre, Yohann Giampà, Marco |
author_sort | Sgobba, Elvira |
collection | PubMed |
description | Classic metabolomic methods have proven to be very useful to study functional biology and variation in the chemical composition of different tissues. However, they do not provide any information in terms of spatial localization within fine structures. Matrix-assisted laser desorption ionization mass spectrometry imaging (MALDI MSI) does and reaches at best a spatial resolution of 0.25 μm depending on the laser setup, making it a very powerful tool to analyze the local complexity of biological samples at the cellular level. Here, we intend to give an overview of the diversity of the molecules and localizations analyzed using this method as well as to update on the latest adaptations made to circumvent the complexity of samples. MALDI MSI has been widely used in medical sciences and is now developing in research areas as diverse as entomology, microbiology, plant biology, and plant–microbe interactions, the rhizobia symbiosis being the most exhaustively described so far. Those are the fields of interest on which we will focus to demonstrate MALDI MSI strengths in characterizing the spatial distributions of metabolites, lipids, and peptides in relation to biological questions. |
format | Online Article Text |
id | pubmed-8623934 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-86239342021-11-27 Unravel the Local Complexity of Biological Environments by MALDI Mass Spectrometry Imaging Sgobba, Elvira Daguerre, Yohann Giampà, Marco Int J Mol Sci Review Classic metabolomic methods have proven to be very useful to study functional biology and variation in the chemical composition of different tissues. However, they do not provide any information in terms of spatial localization within fine structures. Matrix-assisted laser desorption ionization mass spectrometry imaging (MALDI MSI) does and reaches at best a spatial resolution of 0.25 μm depending on the laser setup, making it a very powerful tool to analyze the local complexity of biological samples at the cellular level. Here, we intend to give an overview of the diversity of the molecules and localizations analyzed using this method as well as to update on the latest adaptations made to circumvent the complexity of samples. MALDI MSI has been widely used in medical sciences and is now developing in research areas as diverse as entomology, microbiology, plant biology, and plant–microbe interactions, the rhizobia symbiosis being the most exhaustively described so far. Those are the fields of interest on which we will focus to demonstrate MALDI MSI strengths in characterizing the spatial distributions of metabolites, lipids, and peptides in relation to biological questions. MDPI 2021-11-17 /pmc/articles/PMC8623934/ /pubmed/34830273 http://dx.doi.org/10.3390/ijms222212393 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Sgobba, Elvira Daguerre, Yohann Giampà, Marco Unravel the Local Complexity of Biological Environments by MALDI Mass Spectrometry Imaging |
title | Unravel the Local Complexity of Biological Environments by MALDI Mass Spectrometry Imaging |
title_full | Unravel the Local Complexity of Biological Environments by MALDI Mass Spectrometry Imaging |
title_fullStr | Unravel the Local Complexity of Biological Environments by MALDI Mass Spectrometry Imaging |
title_full_unstemmed | Unravel the Local Complexity of Biological Environments by MALDI Mass Spectrometry Imaging |
title_short | Unravel the Local Complexity of Biological Environments by MALDI Mass Spectrometry Imaging |
title_sort | unravel the local complexity of biological environments by maldi mass spectrometry imaging |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8623934/ https://www.ncbi.nlm.nih.gov/pubmed/34830273 http://dx.doi.org/10.3390/ijms222212393 |
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