Challenges in biomarker discovery with MALDI-TOF MS

2016 ◽  
Vol 458 ◽  
pp. 84-98 ◽  
Author(s):  
Joanna Hajduk ◽  
Jan Matysiak ◽  
Zenon J. Kokot
2009 ◽  
pp. 421-456
Author(s):  
R. M. Vallant ◽  
M. Rainer ◽  
M. Najam-Ul-Haq ◽  
R. Bakry ◽  
C. Petter ◽  
...  

Metabolites ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 333
Author(s):  
Sujatha Kandasamy ◽  
Jayeon Yoo ◽  
Jeonghee Yun ◽  
Han-Byul Kang ◽  
Kuk-Hwan Seol ◽  
...  

Geographical origin and authenticity are the two crucial factors that propel overall cheese perception in terms of quality and price; therefore, they are of great importance to consumers and commercial cheese producers. Herein, we demonstrate a rapid, accurate method for discrimination of domestic and import mozzarella cheeses in the Republic of Korea by matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). The protein profiles’ data aided by multivariate statistical analysis successfully differentiated farmstead and import mozzarella cheeses according to their geographical location of origin. A similar investigation within domestic samples (farmsteads/companies) also showed clear discrimination regarding the producer. Using the biomarker discovery tool, we identified seven distinct proteins, of which two (m/z 7407.8 and 11,416.6) were specific in farmstead cheeses, acting as potential markers to ensure authentication and traceability. The outcome of this study can be a good resource in building a database for Korean domestic cheeses. This study also emphasizes the combined utility of MALDI-TOF MS and multivariate analysis in preventing fraudulent practices, thereby ensuring market protection for Korean farmstead cheeses.


2021 ◽  
Vol 20 (3) ◽  
Author(s):  
Aniza Pakeer ◽  
Mohammed Imad A. Mustafa Mahmud ◽  
Nosrihah Ismail ◽  
Vanitha Mariappan

Introduction: Investigation of urine proteome in patients with acute melioidosis may reveal potential disease markers, from either bacterial or human proteins. We used an in-solution gel-free method instead of 2-DE to detect human and Burkholderia pseudomallei proteins in urine of patients with acute melioidosis. Here, we propose a simpler, economical method for preparing urine samples directly from melioidosis patients, for in-solution proteomic analysis using LCMS-QTOF MS/MS or MALDI-TOF MS/MS. Material and Methods: We adapted an acetone-TCA based protein precipitation method with LCMS-QTOF MS to detect the B. pseudomallei proteins directly from urine of acute melioidosis patients (culture positive and negative). This process involves protein precipitation, desalting, trypsin digestion, and optimization for the mass spectrometry. Results: A total of 3,866 human peptides were detected across 11 urine samples from clinically suspected acute melioidosis patients. Among them were three Burkholderia specific proteins detected in 75% of culture positive samples. Large amounts of acute phase proteins, cell mediated immunity proteins, complement pathway proteins and inflammatory mediators were seen upon gene ontology (GO) annotation and GO enrichment analysis. Conclusions: This simple in-solution sample preparation method can be replicated easily for LCMS/MS-QTOF and MALDI-TOF proteomic analyses, avoiding tedious optimization steps in 2-DE. This method is cost effective and can be done in centres without specialized 2-DE or MS equipment and elutes can be easily transported for analysis and bioinformatics. This is the first study to analyse urine samples directly for B. pseudomallei proteins. Discovery of the entire proteome as a whole is important in leading to biomarker discovery.


2011 ◽  
Vol 12 (1) ◽  
Author(s):  
Chris Bauer ◽  
Frank Kleinjung ◽  
Celia J Smith ◽  
Mark W Towers ◽  
Ali Tiss ◽  
...  

PROTEOMICS ◽  
2011 ◽  
Vol 11 (16) ◽  
pp. 3402-3414 ◽  
Author(s):  
Rosa Terracciano ◽  
Mariaimmacolata Preianò ◽  
Grazia P. Palladino ◽  
Giovanna E. Carpagnano ◽  
Maria P. Foschino Barbaro ◽  
...  

2007 ◽  
Vol 177 (4S) ◽  
pp. 297-297
Author(s):  
Kristina Schwamborn ◽  
Rene Krieg ◽  
Ruth Knüchel-Clarke ◽  
Joachim Grosse ◽  
Gerhard Jakse

Planta Medica ◽  
2016 ◽  
Vol 81 (S 01) ◽  
pp. S1-S381
Author(s):  
L Fougère ◽  
D Da Silva ◽  
E Destandau ◽  
C Elfakir
Keyword(s):  

2017 ◽  
Author(s):  
M Erhard ◽  
M Metzner ◽  
D Köhler-Repp ◽  
B Köhler ◽  
R Storandt
Keyword(s):  

2019 ◽  
Author(s):  
M Hooshyari ◽  
H Rezadoost ◽  
P Ghezellou ◽  
A Ghassempour

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