DESI-MS Imaging of Lipids and Metabolites from Biological Samples

2014 ◽  
pp. 299-311 ◽  
Author(s):  
Livia S. Eberlin
Keyword(s):  
Biological Samples ◽  
Ms Imaging ◽  
Desi Ms

scholarly journals Lipid dynamics in LPS-induced neuroinflammation by DESI-MS imaging

2019 ◽  
Vol 79 ◽  
pp. 186-194 ◽  
Author(s):  
Onésia Cristina Oliveira-Lima ◽  
Juliana Carvalho-Tavares ◽  
Marcella F. Rodrigues ◽  
Marcus V. Gomez ◽  
A.C.P. Oliveira ◽  
...  
Keyword(s):  
Lipid Dynamics ◽  
Ms Imaging ◽  
Desi Ms

187 OVARIAN CYCLE LIPID DYNAMICS REVEALED BY DESI-MS IMAGING AND MORPHOLOGICALLY-DRIVEN MULTIVARIATE STATISTICS

2015 ◽  
Vol 27 (1) ◽  
pp. 184
Author(s):  
A. K. Jarmusch ◽  
C. R. Ferreira ◽  
L. S. Eberlin ◽  
V. Pirro
Keyword(s):  
Multivariate Statistics ◽  
Ovarian Tissue ◽  
Univariate Analysis ◽  
Ambient Ionization ◽  
Negative Ion ◽  
Corpora Lutea ◽  
Ionization Mass ◽  
Ms Imaging ◽  
Adrenic Acid ◽  
Desi Ms

Understanding the role of lipid metabolism in ovarian physiology is crucial for the progression of reproductive biotechnology. The aim in this work was to explore the lipid composition and dynamics of ovarian tissue, specifically the stroma, follicles, and corpora lutea. Desorption electrospray ionization–mass spectrometry (DESI-MS), an ambient ionization technique, was applied in this investigation, acquiring chemical and spatial information simultaneously. A morphologically-friendly solvent, dimethylformamide-acetonitrile (1 : 1), was used for DESI-MS imaging which allowed for ovarian lipid characterisation and subsequent staining (hematoxylin and eosin) providing morphological information. By this approach, regions-of-interest (ROI) were selected from bovine (n = 8), swine (n = 3), and mice (n = 5) ovaries (including pre-pubescent and cycling adults) based on the stained morphological structures. ROI for stroma (n = 54), follicles (n = 89), and corpora lutea (n = 61) were selected and chemically profiled. Tissue sections (20 μm) were thaw mounted onto glass microscope slides and stored at –80°C until analysis. A linear ion trap mass spectrometer equipped with a custom DESI-MS imaging stage was operated in the negative ion mode (m/z 200 to 1000). A 300 × 300 µm pixel size was used in DESI-MS imaging of ovarian tissue. Hyperspectral DESI images were reconstructed and processed by principal component analysis (PCA) that allowed visualisation of relationships among spatial (i.e. morphology) and chemical features. Ions indicated by PCA were analysed using univariate analysis (ANOVA), supporting the significance of particular lipids between morphological structures, e.g. adrenic acid (P = 1.7 × 10–8) and m/z 836 (P = 8.9 × 10–9) between corpora lutea and follicles. All morphological structures could be differentiated by multivariate statistics (>90% prediction rate) independent of the species, indicating conserved lipid constitution. Smaller differences in the lipid profiles were noted between species, poly-ovulatory and mono-ovulatory species, and reproductive maturation. A large variety and abundance of lipids was observed in corpora lutea and follicles, where steroidogenesis is a prominent physiological activity. Additional insight into ovarian physiology was gained with the detection of arachidonic and adrenic acid. The spatial relationship of arachidonic and adrenic acid with the corpora lutea – the former is a known prostaglandin precursor and key signalling molecule in steroidogenesis regulation and the latter is metabolized in the prostaglandin pathway by the same enzymes – suggests the latter may also have a role in steroidogenesis regulation, previously unseen in ovarian physiology. DESI-MS imaging with morphologically-driven statistical analysis proved efficient in relating and interpreting the chemical and morphological features. This methodology can by further applied to unravel complex ovarian-related physiological mechanisms and to other physiological and physiopathological models.

Cerebral Lipid Dynamics in Chronic Cerebral Hypoperfusion Model by DESI-MS Imaging

Neuroscience ◽  
2020 ◽  
Vol 426 ◽  
pp. 1-12 ◽  
Author(s):  
Dryelle L.R. Severiano ◽  
Onésia C. Oliveira-Lima ◽  
Géssica A. Vasconcelos ◽  
Bruno Lemes Marques ◽  
Gustavo Almeida de Carvalho ◽  
...  
Keyword(s):  
Chronic Cerebral Hypoperfusion ◽  
Cerebral Hypoperfusion ◽  
Lipid Dynamics ◽  
Ms Imaging ◽  
Desi Ms

scholarly journals DESI-MS imaging and NMR spectroscopy to investigate the influence of biodiesel in the structure of commercial rubbers

Talanta ◽  
2017 ◽  
Vol 173 ◽  
pp. 22-27 ◽  
Author(s):  
Lorena M.A. Silva ◽  
Elenilson G. Alves Filho ◽  
André J. Simpson ◽  
Marcos R. Monteiro ◽  
Elaine Cabral ◽  
...  
Keyword(s):  
Nmr Spectroscopy ◽  
Ms Imaging ◽  
Desi Ms

Mammalian ovarian lipid distributions by desorption electrospray ionization–mass spectrometry (DESI-MS) imaging

2020 ◽  
Vol 412 (6) ◽  
pp. 1251-1262 ◽  
Author(s):  
Fernanda Bertuccez Cordeiro ◽  
Alan K. Jarmusch ◽  
Marisol León ◽  
Christina Ramires Ferreira ◽  
Valentina Pirro ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Electrospray Ionization ◽  
Electrospray Ionization Mass Spectrometry ◽  
Desorption Electrospray Ionization ◽  
Ionization Mass Spectrometry ◽  
Ionization Mass ◽  
Ms Imaging ◽  
Desi Ms

Blotting Assisted by Heating and Solvent Extraction for DESI-MS Imaging

2013 ◽  
Vol 24 (6) ◽  
pp. 956-965 ◽  
Author(s):  
Elaine C. Cabral ◽  
Mario F. Mirabelli ◽  
Consuelo J. Perez ◽  
Demian R. Ifa
Keyword(s):  
Solvent Extraction ◽  
Ms Imaging ◽  
Desi Ms

scholarly journals DESI-MS imaging to visualize spatial distribution of xenobiotics and endogenous lipids in the skin

2021 ◽  
pp. 120967
Author(s):  
Julie Quartier ◽  
Wei Rao ◽  
Susan Slade ◽  
Frédéric Métral ◽  
Maria Lapteva ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Ms Imaging ◽  
Desi Ms ◽  
Endogenous Lipids

Rapid detection of Fusarium wilt in basil (Ocimum sp.) leaves by desorption electrospray ionization mass spectrometry (DESI MS) imaging

RSC Advances ◽  
2015 ◽  
Vol 5 (62) ◽  
pp. 50512-50522 ◽  
Author(s):  
R. G. Hemalatha ◽  
Hemanta R. Naik ◽  
Vasundhara Mariappa ◽  
T. Pradeep
Keyword(s):  
Mass Spectrometry ◽  
Spatial Distribution ◽  
Electrospray Ionization ◽  
Electrospray Ionization Mass Spectrometry ◽  
Rapid Detection ◽  
Desorption Electrospray Ionization ◽  
Ionization Mass ◽  
Ambient Conditions ◽  
Ms Imaging ◽  
Desi Ms

A rapid method to unravel the spatial distribution ofFusarium/other pathogen-contamination in asymptomatic leaves under ambient conditions.

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