Literature DB >> 16212426

Effect of immunoaffinity depletion of human serum during proteomic investigations.

Anastasia K Yocum1, Kenneth Yu, Tomoyuki Oe, Ian A Blair.   

Abstract

Controversy exists regarding the proper mining of the human serum proteome. Because of the analytical challenges of accurately measuring samples containing a very large dynamic range of protein concentrations, current practices have employed depletion of the highly abundant housekeeping serum proteins, such as albumin and immunoglobins. There is question as to the selectivity of depletion, namely, is there loss of other non abundant serum proteins along with albumin, haptoglobin and other commonly depleted proteins. In this study, human serum was analyzed with and without immunoaffinity depletion of the six most abundant proteins by multidimensional liquid chromatography tandem mass spectrometry. Two replicates of each experiment were conducted and compared against one another. In both depleted and nondepleted replicates there was a 73% and 72% overlap of identified peptides and a 64% and 78% overlap of identified proteins, respectively. Of 262 unique proteins identified in the four experiments, 82 were found in common to all four experiments, 142 unique to the depleted serum, and 38 unique to the nondepleted serum. Although serum depletion of highly abundant proteins significantly increased the number of proteins identified, both the degree of sample complexity and this depletion method resulted in a nonselective loss of other proteins.

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Year:  2005        PMID: 16212426     DOI: 10.1021/pr0501721

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  27 in total

1.  Relative quantification of serum proteins from pancreatic ductal adenocarcinoma patients by stable isotope dilution liquid chromatography-mass spectrometry.

Authors:  Angela Y Wehr; Wei-Ting Hwang; Ian A Blair; Kenneth H Yu
Journal:  J Proteome Res       Date:  2012-02-15       Impact factor: 4.466

2.  Proteomic technologies for the discovery of type 1 diabetes biomarkers.

Authors:  Wenbo Zhi; Sharad Purohit; Colleen Carey; Meiyao Wang; Jin-Xiong She
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3.  Evaluation of multiprotein immunoaffinity subtraction for plasma proteomics and candidate biomarker discovery using mass spectrometry.

Authors:  Tao Liu; Wei-Jun Qian; Heather M Mottaz; Marina A Gritsenko; Angela D Norbeck; Ronald J Moore; Samuel O Purvine; David G Camp; Richard D Smith
Journal:  Mol Cell Proteomics       Date:  2006-07-19       Impact factor: 5.911

Review 4.  The blood peptidome: a higher dimension of information content for cancer biomarker discovery.

Authors:  Emanuel F Petricoin; Claudio Belluco; Robyn P Araujo; Lance A Liotta
Journal:  Nat Rev Cancer       Date:  2006-11-09       Impact factor: 60.716

5.  Analysis of the human pancreatic stellate cell secreted proteome.

Authors:  Angela Y Wehr; Emma E Furth; Vineet Sangar; Ian A Blair; Kenneth H Yu
Journal:  Pancreas       Date:  2011-05       Impact factor: 3.327

6.  Enhanced detection of low abundance human plasma proteins using a tandem IgY12-SuperMix immunoaffinity separation strategy.

Authors:  Wei-Jun Qian; David T Kaleta; Brianne O Petritis; Hongliang Jiang; Tao Liu; Xu Zhang; Heather M Mottaz; Susan M Varnum; David G Camp; Lei Huang; Xiangming Fang; Wei-Wei Zhang; Richard D Smith
Journal:  Mol Cell Proteomics       Date:  2008-07-15       Impact factor: 5.911

7.  Proteomic Interrogation in Cancer Biomarker.

Authors:  Un-Beom Kang
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

8.  Detection of human proteins using arrayed imaging reflectometry.

Authors:  Charles R Mace; Christopher C Striemer; Benjamin L Miller
Journal:  Biosens Bioelectron       Date:  2008-05-27       Impact factor: 10.618

9.  Differential profiling of breast cancer plasma proteome by isotope-coded affinity tagging method reveals biotinidase as a breast cancer biomarker.

Authors:  Un-Beom Kang; Younghee Ahn; Jong Won Lee; Yong-Hak Kim; Joon Kim; Myeong-Hee Yu; Dong-Young Noh; Cheolju Lee
Journal:  BMC Cancer       Date:  2010-03-26       Impact factor: 4.430

10.  Methodology and applications of disease biomarker identification in human serum.

Authors:  Ziad J Sahab; Suzan M Semaan; Qing-Xiang Amy Sang
Journal:  Biomark Insights       Date:  2007-02-14
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