TY - JOUR
T1 - Challenges in translating plasma proteomics from bench to bedside
T2 - Update from the NHLBI Clinical Proteomics Programs
AU - Gerszten, Robert E.
AU - Accurso, Frank
AU - Bernard, Gordon R.
AU - Caprioli, Richard M.
AU - Klee, Eric W.
AU - Klee, George G.
AU - Kullo, Iftikhar
AU - Laguna, Theresa A.
AU - Roth, Frederick P.
AU - Sabatine, Marc
AU - Srinivas, Pothur
AU - Wang, Thomas J.
AU - Ware, Lorraine B.
PY - 2008/7
Y1 - 2008/7
N2 - The emerging scientific field of proteomics encompasses the identification, characterization, and quantification of the protein content or proteome of whole cells, tissues, or body fluids. The potential for proteomic technologies to identify and quantify novel proteins in the plasma that can function as biomarkers of the presence or severity of clinical disease states holds great promise for clinical use. However, there are many challenges in translating plasma proteomics from bench to bedside, and relatively few plasma biomarkers have successfully transitioned from proteomic discovery to routine clinical use. Key barriers to this translation include the need for "orthogonal" biomarkers (i.e., uncorrelated with existing markers), the complexity of the proteome in biological samples, the presence of high abundance proteins such as albumin in biological samples that hinder detection of low abundance proteins, false positive associations that occur with analysis of high dimensional datasets, and the limited understanding of the effects of growth, development, and age on the normal plasma proteome. Strategies to overcome these challenges are discussed.
AB - The emerging scientific field of proteomics encompasses the identification, characterization, and quantification of the protein content or proteome of whole cells, tissues, or body fluids. The potential for proteomic technologies to identify and quantify novel proteins in the plasma that can function as biomarkers of the presence or severity of clinical disease states holds great promise for clinical use. However, there are many challenges in translating plasma proteomics from bench to bedside, and relatively few plasma biomarkers have successfully transitioned from proteomic discovery to routine clinical use. Key barriers to this translation include the need for "orthogonal" biomarkers (i.e., uncorrelated with existing markers), the complexity of the proteome in biological samples, the presence of high abundance proteins such as albumin in biological samples that hinder detection of low abundance proteins, false positive associations that occur with analysis of high dimensional datasets, and the limited understanding of the effects of growth, development, and age on the normal plasma proteome. Strategies to overcome these challenges are discussed.
KW - Protein content
KW - Proteome
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U2 - 10.1152/ajplung.00044.2008
DO - 10.1152/ajplung.00044.2008
M3 - Review article
C2 - 18456800
AN - SCOPUS:49049098527
SN - 1040-0605
VL - 295
SP - L16-L22
JO - American Journal of Physiology - Lung Cellular and Molecular Physiology
JF - American Journal of Physiology - Lung Cellular and Molecular Physiology
IS - 1
ER -