2005
DOI: 10.1016/j.jasms.2005.02.005
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Quantitative analysis of the low molecular weight serum proteome using 18O stable isotope labeling in a lung tumor xenograft mouse model

Abstract: With advancements in the analytical technologies and methodologies in proteomics, there is great interest in biomarker discovery in biofluids such as serum and plasma. Current hypotheses suggest that the low molecular weight (LMW) serum proteome possesses an archive of clipped and cleaved protein fragments that may provide insight into disease development. Though these biofluids represent attractive samples from which new and more accurate disease biomarkers may be found, the intrinsic person-to-person variabi… Show more

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Cited by 63 publications
(50 citation statements)
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“…Gene ontology classification predicts 43% membrane, 14% extracellular and 43% intracellular proteins in entire mouse proteome (Hood et al, 2005). By contrast, the component distribution was 19%, 2% and 79% in our study (based on all indentified proteins).…”
Section: Discussioncontrasting
confidence: 84%
“…Gene ontology classification predicts 43% membrane, 14% extracellular and 43% intracellular proteins in entire mouse proteome (Hood et al, 2005). By contrast, the component distribution was 19%, 2% and 79% in our study (based on all indentified proteins).…”
Section: Discussioncontrasting
confidence: 84%
“…The tryptic peptides were labeled as described previously (33). The incorporation efficiency and the 1:1 ratio were tested using MALDI MS.…”
Section: O Labeling Of Tryptic Peptidesmentioning
confidence: 99%
“…Among quantitative proteomic methods, 18 O stable isotope labeling is convenient to use, low in cost, highly specific in terms of specific 18 O C-terminal modifications, and capable in theory of labeling proteins globally. The 18 O-labeling method has demonstrated its applicability in differential comparative proteomics with biological applications performed using Porphyromonas gingivalis strain W50 (4), the human plasma proteome (55), breast cancer cells (5), and the low-molecularweight serum proteome (26). 18 O labeling is becoming a powerful labeling strategy for quantitative proteomics application.…”
mentioning
confidence: 99%