Optimizing performance of glycopeptide capture for plasma proteomics.
Optimizing performance of glycopeptide capture for plasma proteomics.
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DOI:
10.1021/pr900845m
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发表时间:
2010-04-05
影响因子:
4.4
通讯作者:
Carr, Steven A.
中科院分区:
文献类型:
--
作者:
Berven, Frode S.;Ahmad, Rushdy;Clouser, Karl R.;Carr, Steven A.
关键词:
Selective capture of glycopolypeptides followed by release and analysis of the former glycosylation-site peptides has been shown to have promise for reducing complexity of body fluids such as blood for biomarker discovery. In this work, a protocol based on capture of polypeptides containing a N-linked carbohydrate from human plasma using commercially available magnetic beads coupled with hydrazide chemistry was optimized and partially automated through the use of a KingFisher magnetic particle processor. Comparison of bead-based glycocapture at the protein-level vs. peptide-level revealed differences in the specificity, reproducibility and absolute number of former glycosylation-site peptides detected. Evaluation of a range of capture and elution conditions led to an optimized protocol with a 24% intraday and 30% interday CV, and a glycopeptide capture specificity of 99%. Depleting the plasma of 14 high abundance proteins improved detection sensitivity by approximately one order of magnitude compared to non-depleted plasma and resulted in an increase of 24% in the number of identified glycoproteins. The sensitivity of SPEG for detection of glycoproteins in depleted, non-fractionated plasma was found to be in the 10 to 100 pmol/ml range corresponding to glycoprotein levels ranging from 100’s of nanograms/ml to 10’s of micrograms/ml. Despite high capture specificity,the total number of glycoproteins detected and the sensitivity of SPEG in plasma is surprisingly limited.
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影响因子:
3.1
作者:
Rajcevic, Uros;Niclou, Simone P.;Jimenez, Connie R.
通讯作者:
Jimenez, Connie R.
DOI:
10.1016/0021-9673(92)80101-y
发表时间:
1992-04-24
期刊:
JOURNAL OF CHROMATOGRAPHY
影响因子:
--
作者:
KOBATA, A;ENDO, T
通讯作者:
ENDO, T
影响因子:
2.7
作者:
Schenk, Susann;Schoenhals, Gary J.;de Souza, Gustavo;Mann, Matthias
通讯作者:
Mann, Matthias
影响因子:
7.4
作者:
Zhou, Yong;Aebersold, Ruedi;Zhang, Hui
通讯作者:
Zhang, Hui
影响因子:
4.4
作者:
Liu, T;Qian, WJ;Smith, RD
通讯作者:
Smith, RD