scholarly journals Desorption Electrospray Ionization then MALDI Mass Spectrometry Imaging of Lipid and Protein Distributions in Single Tissue Sections

2011 ◽  
Vol 83 (22) ◽  
pp. 8366-8371 ◽  
Author(s):  
Livia S. Eberlin ◽  
Xiaohui Liu ◽  
Christina R. Ferreira ◽  
Sandro Santagata ◽  
Nathalie Y.R. Agar ◽  
...  
The Analyst ◽  
2018 ◽  
Vol 143 (3) ◽  
pp. 654-661 ◽  
Author(s):  
Milad Nazari ◽  
Mark T. Bokhart ◽  
Philip L. Loziuk ◽  
David C. Muddiman

IR-MALDESI quantitative mass spectrometry imaging of glutathione in healthy and cancerous hen ovarian tissues.


2019 ◽  
Author(s):  
Li-En Lin ◽  
Chih-Lin Chen ◽  
Ying-Chen Huang ◽  
Hsin-Hsiang Chung ◽  
Chiao-Wei Lin ◽  
...  

AbstractMass spectrometry imaging (MSI) using ambient ionization technique enables a direct chemical investigation of biological samples with minimal sample pretreatment. However, detailed morphological information of the sample is often lost due to its limited spatial resolution. In this study, predictive high-resolution molecular imaging was produced by the fusion of ambient ionization MSI with optical microscopy of routine hematoxylin and eosin (H&E) staining produces. Specifically, desorption electrospray ionization (DESI) and nanospray desorption electrospray ionization (nanoDESI) mass spectrometry are employed to visualize lipid and protein species on mice tissue sections. The resulting molecular distributions obtained by ambient ionization MSI-microscopy fusion are verified with matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) MSI and immunohistochemistry (IHC) staining. Label-free molecular imaging with 5-μm spatial resolution can be acquired using DESI and nanoDESI, whereas the typical spatial resolution of ambient ionization MSI is ~100 μm. In this regard, sharpened molecular histology of tissue sections is achieved, providing complementary references to the pathology. Such a multimodality integration enables the discovery of potential tumor biomarkers. After image fusion, more than a dozen of potential biomarkers that could be used to determine the tumor margins on a metastatic mouse lung tissue section and Luminal B breast tumor tissue section are identified.


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