scholarly journals Identification of a novel serum biomarker for pancreatic cancer, C4b-binding protein α-chain (C4BPA) by quantitative proteomic analysis using tandem mass tags

2016 ◽  
Vol 115 (8) ◽  
pp. 949-956 ◽  
Author(s):  
Kazuyuki Sogawa ◽  
Shigetsugu Takano ◽  
Fumie Iida ◽  
Mamoru Satoh ◽  
Sachio Tsuchida ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Proteomic Analysis ◽  
Binding Protein ◽  
Serum Biomarker ◽  
Tandem Mass ◽  
Quantitative Proteomic Analysis ◽  
Α Chain ◽  
Tandem Mass Tags

Application of quantitative proteomic analysis using tandem mass tags for discovery and identification of novel biomarkers in periodontal disease

PROTEOMICS ◽  
2013 ◽  
Vol 13 (15) ◽  
pp. 2339-2350 ◽  
Author(s):  
Sachio Tsuchida ◽  
Mamoru Satoh ◽  
Yusuke Kawashima ◽  
Kazuyuki Sogawa ◽  
Sayaka Kado ◽  
...  
Keyword(s):  
Periodontal Disease ◽  
Proteomic Analysis ◽  
Tandem Mass ◽  
Quantitative Proteomic Analysis ◽  
Novel Biomarkers ◽  
Tandem Mass Tags

scholarly journals Quantitative Proteomics Analysis of Altered Protein Expression in the Placental Villous Tissue of Early Pregnancy Loss Using Isobaric Tandem Mass Tags

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Xiaobei Ni ◽  
Xin Li ◽  
Yueshuai Guo ◽  
Tao Zhou ◽  
Xuejiang Guo ◽  
...  
Keyword(s):  
Protein Expression ◽  
Pregnant Women ◽  
Early Pregnancy ◽  
Proteomic Analysis ◽  
Pregnancy Loss ◽  
Tandem Mass ◽  
Pathophysiological Mechanism ◽  
Early Pregnancy Loss ◽  
Expression Levels ◽  
Tandem Mass Tags

Many pregnant women suffer miscarriages during early gestation, but the description of these early pregnancy losses (EPL) can be somewhat confusing because of the complexities of early development. Thus, the identification of proteins with different expression profiles related to early pregnancy loss is essential for understanding the comprehensive pathophysiological mechanism. In this study, we report a gel-free tandem mass tags- (TMT-) labeling based proteomic analysis of five placental villous tissues from patients with early pregnancy loss and five from normal pregnant women. The application of this method resulted in the identification of 3423 proteins and 19647 peptides among the patient group and the matched normal control group. Qualitative and quantitative proteomic analysis revealed 51 proteins to be differentially abundant between the two groups (≥1.2-fold, Student'st-test,P<0.05). To obtain an overview of the biological functions of the proteins whose expression levels altered significantly in EPL group, gene ontology analysis was performed. We also investigated the twelve proteins with a difference over 1.5-fold using pathways analysis. Our results demonstrate that the gel-free TMT-based proteomic approach allows the quantification of differences in protein expression levels, which is useful for obtaining molecular insights into early pregnancy loss.

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