scholarly journals Quantitative Analysis of Human Plasma Proteome by Mass Spectrometry for Cancer Biomarker Discovery

2008 ◽  
Vol S2 (01) ◽  
pp. 065-065
Author(s):  
J. S. Yoo
Keyword(s):  
Mass Spectrometry ◽  
Quantitative Analysis ◽  
Human Plasma ◽  
Biomarker Discovery ◽  
Cancer Biomarker ◽  
Plasma Proteome ◽  
Human Plasma Proteome

scholarly journals The Human Plasma Proteome Draft of 2017: Building on the Human Plasma PeptideAtlas from Mass Spectrometry and Complementary Assays

2017 ◽  
Vol 16 (12) ◽  
pp. 4299-4310 ◽  
Author(s):  
Jochen M. Schwenk ◽  
Gilbert S. Omenn ◽  
Zhi Sun ◽  
David S. Campbell ◽  
Mark S. Baker ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Human Plasma ◽  
Plasma Proteome ◽  
Human Plasma Proteome

scholarly journals Statistical Analysis of Variation in the Human Plasma Proteome

2010 ◽  
Vol 2010 ◽  
pp. 1-12 ◽  
Author(s):  
Todd H. Corzett ◽  
Imola K. Fodor ◽  
Megan W. Choi ◽  
Vicki L. Walsworth ◽  
Kenneth W. Turteltaub ◽  
...  
Keyword(s):  
Human Plasma ◽  
Individual Variation ◽  
Fixed Effects ◽  
Biomarker Discovery ◽  
Plasma Proteome ◽  
Protein Levels ◽  
Mixed Effects Modeling ◽  
Experimental Variation ◽  
Analysis Of Variation ◽  
Human Plasma Proteome

Quantifying the variation in the human plasma proteome is an essential prerequisite for disease-specific biomarker detection. We report here on the longitudinal and individual variation in human plasma characterized by two-dimensional difference gel electrophoresis (2-D DIGE) using plasma samples from eleven healthy subjects collected three times over a two week period. Fixed-effects modeling was used to remove dye and gel variability. Mixed-effects modeling was then used to quantitate the sources of proteomic variation. The subject-to-subject variation represented the largest variance component, while the time-within-subject variation was comparable to the experimental variation found in a previous technical variability study where one human plasma sample was processed eight times in parallel and each was then analyzed by 2-D DIGE in triplicate. Here, 21 protein spots had larger than 50% CV, suggesting that these proteins may not be appropriate as biomarkers and should be carefully scrutinized in future studies. Seventy-eight protein spots showing differential protein levels between different individuals or individual collections were identified by mass spectrometry and further characterized using hierarchical clustering. The results present a first step toward understanding the complexity of longitudinal and individual variation in the human plasma proteome, and provide a baseline for improved biomarker discovery.

Analysis of Human Plasma Proteome by 2DE‐ and 2D nanoLC‐Based Mass Spectrometry

2006 ◽  
Vol 36 (1) ◽  
pp. 3-17 ◽  
Author(s):  
Kyoung‐Soo Choi ◽  
Liguo Song ◽  
Young‐Mee Park ◽  
James Marshall ◽  
Anders L. Lund ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Human Plasma ◽  
Plasma Proteome ◽  
Human Plasma Proteome

Fractionation of the human plasma proteome for monoclonal antibody proteomics-based biomarker discovery

2011 ◽  
Vol 32 (15) ◽  
pp. 1916-1925 ◽  
Author(s):  
András Kovács ◽  
Edit Sperling ◽  
József Lázár ◽  
Attila Balogh ◽  
János Kádas ◽  
...  
Keyword(s):  
Monoclonal Antibody ◽  
Human Plasma ◽  
Biomarker Discovery ◽  
Plasma Proteome ◽  
Human Plasma Proteome

Comprehensive Analysis of Low-Molecular-Weight Human Plasma Proteome Using Top-Down Mass Spectrometry

2015 ◽  
Vol 15 (1) ◽  
pp. 229-244 ◽  
Author(s):  
Dong Huey Cheon ◽  
Eun Ji Nam ◽  
Kyu Hyung Park ◽  
Se Joon Woo ◽  
Hye Jin Lee ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
Molecular Weight ◽  
Human Plasma ◽  
Comprehensive Analysis ◽  
Low Molecular Weight ◽  
Plasma Proteome ◽  
Top Down ◽  
Human Plasma Proteome ◽  
Top Down Mass Spectrometry
Sign in / Sign up

Export Citation Format

Share Document