High-Sensitivity Analysis of Human Plasma Proteome by Immobilized Isoelectric Focusing Fractionation Coupled to Mass Spectrometry Identification

2005 ◽  
Vol 4 (4) ◽  
pp. 1265-1273 ◽  
Author(s):  
Cheng-Jian Tu ◽  
Jie Dai ◽  
Su-Jun Li ◽  
Quan-Hu Sheng ◽  
Wen-Jun Deng ◽  
...  
2017 ◽  
Vol 16 (12) ◽  
pp. 4299-4310 ◽  
Author(s):  
Jochen M. Schwenk ◽  
Gilbert S. Omenn ◽  
Zhi Sun ◽  
David S. Campbell ◽  
Mark S. Baker ◽  
...  

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

2015 ◽  
Vol 15 (1) ◽  
pp. 229-244 ◽  
Author(s):  
Dong Huey Cheon ◽  
Eun Ji Nam ◽  
Kyu Hyung Park ◽  
Se Joon Woo ◽  
Hye Jin Lee ◽  
...  

2018 ◽  
Vol 16 (1) ◽  
pp. 74-81 ◽  
Author(s):  
Olga I. Kiseleva ◽  
Elena A. Ponomarenko ◽  
Yulia A. Romashova ◽  
Ekaterina V. Poverennaya ◽  
Andrey V. Lisitsa

Background: Liquid chromatography coupled with targeted mass spectrometry underwent rapid technical evolution during last years and has become widely used technology in clinical laboratories. It offers confident specificity and sensitivity superior to those of traditional immunoassays. However, due to controversial reports on reproducibility of SRM measurements, the prospects of clinical appliance of the method are worth discussing. </P><P> Objective: The study was aimed at assessment of capabilities of SRM to achieve a thorough assembly of the human plasma proteome. </P><P> Method: We examined set of 19 human blood plasma samples to measure 100 proteins, including FDA-approved biomarkers, via SRM-assay. </P><P> Results: Out of 100 target proteins 43 proteins were confidently detected in at least two blood plasma sample runs, 36 and 21 proteins were either not detected in any run or inconsistently detected, respectively. Empiric dependences on protein detectability were derived to predict the number of biological samples required to detect with certainty a diagnostically relevant quantum of the human plasma proteome. </P><P> Conclusion: The number of samples exponentially increases with an increase in the number of protein targets, while proportionally decreasing to the logarithm of the limit of detection. Analytical sensitivity and enormous proteome heterogeneity are major bottlenecks of the human proteome exploration.


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