State of the Human Proteome in 2013 as Viewed through PeptideAtlas: Comparing the Kidney, Urine, and Plasma Proteomes for the Biology- and Disease-Driven Human Proteome Project

被引:97
作者
Farrah, Terry [1 ]
Deutsch, Eric W. [1 ]
Omenn, Gilbert S. [1 ,2 ]
Sun, Zhi [1 ]
Watts, Julian D. [1 ]
Yamamoto, Tadashi [3 ]
Shteynberg, David [1 ]
Harris, Micheleen M. [1 ]
Moritz, Robert L. [1 ]
机构
[1] Inst Syst Biol, Seattle, WA 98109 USA
[2] Univ Michigan, Sch Med, Ann Arbor, MI 48109 USA
[3] Niigata Univ, Inst Nephrol, Dept Struct Pathol, Niigata 9518510, Japan
基金
日本学术振兴会; 美国国家科学基金会; 美国国家卫生研究院;
关键词
Human Proteome Project; PeptideAtlas; LC-MS/MS; database; kidney; plasma; urine; proteome comparison; EPIDERMAL-GROWTH-FACTOR; HIGH-CONFIDENCE; PROTEINS; IDENTIFICATION; TANDEM; PREFRACTIONATION; COMBINATION; ANNOTATION; EXPRESSION; DATABASE;
D O I
10.1021/pr4010037
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
The kidney, urine, and plasma proteomes are intimately related: proteins and metabolic waste products are filtered from the plasma by the kidney and excreted via the urine, while kidney proteins may be secreted into the circulation or released into the urine. Shotgun proteomics data sets derived from human kidney, urine, and plasma samples were collated and processed using a uniform software pipeline, and relative protein abundances were estimated by spectral counting. The resulting PeptideAtlas builds yielded 4005, 2491, and 3553 nonredundant proteins at 1% FDR for the kidney, urine, and plasma proteomes, respectively - for kidney and plasma, the largest high-confidence protein sets to date. The same pipeline applied to all available human data yielded a 2013 Human PeptideAtlas build containing 12 644 nonredundant proteins and at least one peptide for each of similar to 14 000 Swiss-Prot entries, an increase over 2012 of similar to 7.5% of the predicted human proteome. We demonstrate that abundances are correlated between plasma and urine, examine the most abundant urine proteins not derived from either plasma or kidney, and consider the biomarker potential of proteins associated with renal decline. This analysis forms part of the Biology and Disease-driven Human Proteome Project (B/D-HPP) and is a contribution to the Chromosome-centric Human Proteome Project (C-HPP) special issue.
引用
收藏
页码:60 / 75
页数:16
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