scholarly journals Label-free, normalized quantification of complex mass spectrometry data for proteomic analysis

2010 ◽  
Vol 28 (1) ◽  
pp. 83-89 ◽  
Author(s):  
Noelle M Griffin ◽  
Jingyi Yu ◽  
Fred Long ◽  
Phil Oh ◽  
Sabrina Shore ◽  
...  
Biomolecules ◽  
2020 ◽  
Vol 10 (6) ◽  
pp. 836 ◽  
Author(s):  
Jayaseelan Murugaiyan ◽  
Murat Eravci ◽  
Christoph Weise ◽  
Uwe Roesler ◽  
Lisa D. Sprague ◽  
...  

Brucellosis is a zoonotic infection caused by bacteria of the genus Brucella. The species, B. abortus and B. melitensis, major causative agents of human brucellosis, share remarkably similar genomes, but they differ in their natural hosts, phenotype, antigenic, immunogenic, proteomic and metabolomic properties. In the present study, label-free quantitative proteomic analysis was applied to investigate protein expression level differences. Type strains and field strains were each cultured six times, cells were harvested at a midlogarithmic growth phase and proteins were extracted. Following trypsin digestion, the peptides were desalted, separated by reverse-phase nanoLC, ionized using electrospray ionization and transferred into an linear trap quadrapole (LTQ) Orbitrap Velos mass spectrometer to record full scan MS spectra (m/z 300–1700) and tandem mass spectrometry (MS/MS) spectra of the 20 most intense ions. Database matching with the reference proteomes resulted in the identification of 826 proteins. The Cluster of Gene Ontologies of the identified proteins revealed differences in bimolecular transport and protein synthesis mechanisms between these two strains. Among several other proteins, antifreeze proteins, Omp10, superoxide dismutase and 30S ribosomal protein S14 were predicted as potential virulence factors among the proteins differentially expressed. All mass spectrometry data are available via ProteomeXchange with identifier PXD006348.


2021 ◽  
Vol 13 ◽  
Author(s):  
Ruijuan Chen ◽  
Yuanjing Yi ◽  
Wenbiao Xiao ◽  
Bowen Zhong ◽  
Yi Shu ◽  
...  

Objective: This study aimed to identify potential diagnostic biomarkers of diabetic vascular dementia (DVD) and unravel the underlying mechanisms using mass spectrometry (MS).Methods: Label-free liquid chromatography-tandem mass spectrometry (LC-MS/MS) proteomic analysis was applied to urine samples from four groups, including 14 patients with vascular dementia (VD), 22 patients with type 2 diabetes mellitus (T2DM), 12 patients with DVD, and 21 normal controls (NCs). Searching the MS data by Proteome Discoverer software (ThermoFisher Scientific; Waltham, MA, USA), protein abundances were analyzed qualitatively and quantitatively and compared between these groups. Combining bioinformatics analysis using Gene Ontology (GO), pathway crosstalk analysis using Kyoto Encyclopedia of Genes and Genomes (KEGG), protein–protein interaction (PPI) network analysis using STRING, and literature searching, the differentially expressed proteins (DEPs) of DVD can be comprehensively judged and were further quantified by receiver operating characteristic (ROC) curve methods.Results: The proteomic findings showed quantitative changes in patients with DVD compared to patients with NC, T2DM, and VD groups; among 4,744 identified urine proteins, 1,222, 1,152, and 1,180 proteins displayed quantitative changes unique to DVD vs. NC, T2DM, and VD, respectively, including 481 overlapped common DEPs. Then, nine unique proteins [including HP, SERPIND, ATP5PB, VNN2, ALDH3A1, U2AF2, C6, A0A5C2GRG5 (no name), and A0A5C2FZ29 (no name)] and two composite markers (CM) (A0A5C2GRG5+U2AF2 and U2AF2+C6) were confirmed by a ROC curve method.Conclusion: This study provided an insight into the potential pathogenesis of DVD and elucidated a method for early detection.


Data in Brief ◽  
2016 ◽  
Vol 7 ◽  
pp. 100-106 ◽  
Author(s):  
Seon Hwa Lee ◽  
Keita Matsushima ◽  
Kohei Miyamoto ◽  
Tomoyuki Oe

2008 ◽  
Vol 7 (5) ◽  
pp. 329-339 ◽  
Author(s):  
M. Wang ◽  
J. You ◽  
K. G. Bemis ◽  
T. J. Tegeler ◽  
D. P. G. Brown

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