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Unravel the Local Complexity of Biological Environments by MALDI Mass Spectrometry Imaging

Sgobba, Elvira and Daguerre, Yohann and Giampa, Marco (2021). Unravel the Local Complexity of Biological Environments by MALDI Mass Spectrometry Imaging. International Journal of Molecular Sciences. 22 :22 , 12393
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Abstract

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 mu m 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.

Authors/Creators:Sgobba, Elvira and Daguerre, Yohann and Giampa, Marco
Title:Unravel the Local Complexity of Biological Environments by MALDI Mass Spectrometry Imaging
Series Name/Journal:International Journal of Molecular Sciences
Year of publishing :2021
Volume:22
Number:22
Article number:12393
Number of Pages:25
Publisher:MDPI
ISSN:1661-6596
Language:English
Publication Type:Article Review/Survey
Article category:Scientific peer reviewed
Version:Published version
Copyright:Creative Commons: Attribution 4.0
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 1 Natural sciences > 106 Biological Sciences (Medical to be 3 and Agricultural to be 4) > Biochemistry and Molecular Biology
Keywords:MALDI MSI, metabolomics, imaging, plants, microbiology, lipidomics
URN:NBN:urn:nbn:se:slu:epsilon-p-116803
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-116803
Additional ID:
Type of IDID
DOI10.3390/ijms222212393
Web of Science (WoS)000775478300032
ID Code:28269
Faculty:S - Faculty of Forest Sciences
Department:(S) > Dept. of Forest Genetics and Plant Physiology
Deposited By: SLUpub Connector
Deposited On:08 Jun 2022 12:34
Metadata Last Modified:08 Jun 2022 12:41

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