Abstract 473: Glycomic characterization of carbohydrate antigen-defined pancreatic cancer tissues using lectins and imaging mass spectrometry

Author(s):  
Colin McDowell ◽  
Zachary Klamer ◽  
Johnathan Hall ◽  
Luke Wisniewski ◽  
Peggi Angel ◽  
...  
2020 ◽  
Author(s):  
Amrita Mitra ◽  
Surya Kant Choubey ◽  
Rajdeep Das ◽  
Pritilata Rout ◽  
T. S Sridhar ◽  
...  

AbstractHistopathology, the gold-standard method for diagnosis of human prostate cancer, is based on the analysis of changes in cellular morphology and tissue architecture in chemically stained tissue sections. Even at the very early stages of cancer with minimal phenotypic changes in cellular morphologies, there might be detectable changes in the expression profiles of proteins. Over the last decade, imaging mass spectrometry has been used to explore the spatial distribution and expression profiles of several molecules with their twodimensional heterogeneity retained across the tissue section. In the present study, using MALDI mass spectrometry based tissue imaging, we report the differential expression of three proteins, vinculin, ribonuclease T2 and 60 kDa heat shock protein across human prostate tissue sections in regions pathologically demarcated as frankly malignant. In an independent analysis, quantitative proteomics revealed that in cancerous prostate tissues, ribonuclease T2 and 60 kDa heat shock protein were significantly overexpressed by 22.26- and 6 folds respectively compared to benign condition. Our results show the utility of this approach to probe differential protein expression in architecturally intact cancer tissues. In addition, we propose that ribonuclease T2 and 60 kDa heat shock protein might be developed as diagnostic biomarkers for prostate cancer in future.


2018 ◽  
Vol 12 (6) ◽  
pp. 1700155 ◽  
Author(s):  
Oliver Klein ◽  
Thorsten Hanke ◽  
Grit Nebrich ◽  
Junfeng Yan ◽  
Benedikt Schubert ◽  
...  

2022 ◽  
Vol 116 (1) ◽  
pp. 11-19
Author(s):  
Jiří Novák ◽  
Vladimír Havlíček

We describe the molecular dereplication principles and de novo characterization of small molecules obtained from liquid-chromatography mass spectrometry and imaging mass spectrometry data sets. Our methodology aims at supporting chemists and computer programmers to understand the hidden computing algorithms used for metabolomics mass spectrometry data processing. The approaches have been made available in the open-source tool CycloBranch. The presented tutorial extends the interpretation of mass spectra portfolia described in a series of papers published in Chemicke Listy, issues 2/2020 and 3/2020.


2020 ◽  
Vol 55 (4) ◽  
pp. e4490 ◽  
Author(s):  
Richard R. Drake ◽  
Colin McDowell ◽  
Connor West ◽  
Fred David ◽  
Thomas W. Powers ◽  
...  

The Prostate ◽  
2020 ◽  
Vol 80 (13) ◽  
pp. 1071-1086
Author(s):  
Peggi M. Angel ◽  
Laura Spruill ◽  
Melanie Jefferson ◽  
Jennifer R. Bethard ◽  
Lauren E. Ball ◽  
...  

2018 ◽  
Vol 12 (6) ◽  
pp. 1870053
Author(s):  
Oliver Klein ◽  
Thorsten Hanke ◽  
Grit Nebrich ◽  
Junfeng Yan ◽  
Benedikt Schubert ◽  
...  

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