TY - JOUR
T1 - State of the human proteome in 2013 as viewed through peptideatlas
T2 - Comparing the kidney, urine, and plasma proteomes for the biology- and disease-driven human proteome project
AU - Farrah, Terry
AU - Deutsch, Eric W.
AU - Omenn, Gilbert S.
AU - Sun, Zhi
AU - Watts, Julian D.
AU - Yamamoto, Tadashi
AU - Shteynberg, David
AU - Harris, Micheleen M.
AU - Moritz, Robert L.
PY - 2014/1/3
Y1 - 2014/1/3
N2 - 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 ∼14 000 Swiss-Prot entries, an increase over 2012 of ∼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.
AB - 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 ∼14 000 Swiss-Prot entries, an increase over 2012 of ∼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.
KW - Human Proteome Project
KW - LC-MS/MS
KW - PeptideAtlas
KW - database
KW - kidney
KW - plasma
KW - proteome comparison
KW - urine
UR - http://www.scopus.com/inward/record.url?scp=84891786993&partnerID=8YFLogxK
U2 - 10.1021/pr4010037
DO - 10.1021/pr4010037
M3 - Article
C2 - 24261998
AN - SCOPUS:84891786993
SN - 1535-3893
VL - 13
SP - 60
EP - 75
JO - Journal of Proteome Research
JF - Journal of Proteome Research
IS - 1
ER -