48 research outputs found

    Statistical Analysis of Variation in the Human Plasma Proteome

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    Quantifying the variation in the human plasma proteome is an essential prerequisite for disease-specific biomarker detection. We report here on the longitudinal and individual variation in human plasma characterized by two-dimensional difference gel electrophoresis (2-D DIGE) using plasma samples from eleven healthy subjects collected three times over a two week period. Fixed-effects modeling was used to remove dye and gel variability. Mixed-effects modeling was then used to quantitate the sources of proteomic variation. The subject-to-subject variation represented the largest variance component, while the time-within-subject variation was comparable to the experimental variation found in a previous technical variability study where one human plasma sample was processed eight times in parallel and each was then analyzed by 2-D DIGE in triplicate. Here, 21 protein spots had larger than 50% CV, suggesting that these proteins may not be appropriate as biomarkers and should be carefully scrutinized in future studies. Seventy-eight protein spots showing differential protein levels between different individuals or individual collections were identified by mass spectrometry and further characterized using hierarchical clustering. The results present a first step toward understanding the complexity of longitudinal and individual variation in the human plasma proteome, and provide a baseline for improved biomarker discovery

    Pathomics: Final Report

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    Pathomics is a research project to explore the feasibility for developing biosignatures for early infectious disease detection in humans, particularly those that represent a threat from bioterrorism. Our goal is to use a science-based approach to better understand the underlying molecular basis of disease and to find sensitive, robust, and specific combinations of biological molecules (biosignatures) in the host that will indicate the presence of developing infection prior to overt symptoms (pre-syndromic). The ultimate goal is develop a national surveillance system for monitoring for the release and managing the consequences of a biothreat agent or an emerging disease. Developing the science for a more comprehensive understanding of the molecular basis of infectious disease and the development of biosignature-based diagnostics could help detect both emerging and engineered treats to humans

    Characterizatio o a peptide adduct fouct by N

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    AminoRIRIoIRIooI8R--I88RI888I b]pyridine (PhIP) is a membero a classo cossI0;q knos as theheteroNIH38 amines (HCAs) that arefo8RA in meat duringcoingIM It is amulti-o3RM carcino3R inro0AR-- fo0A adducts and with DNA and proI;33 Altho33 pro33 adducts are no tho8qq to beinvoq3M in cancerdevelo0R;3I they may be useful as internaldornalI;R o PhIPexpoAM8 andbioM;N8IH0qRM TooM; thegoIM o characterizing the adductsfouct in humans and thedevelo0IH0 o an assayfo quantitatio o adduct levels, we have characterized a peptide adduct fouct by the putative genoiveI metaboI33; N - aceto0IH0N--0 AmoN8 peptide with the internal sequenceLeu--Gln--Lys--Cys--ProIo-- which isho830MIH0 to apoqMNRIH target sequencefo HCAs in human serum albumin, was reacted with N-acetoH03A0N and an adduct was identified and further characterized by LC--ESI-MS/MS
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