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Activity Number:
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380
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Type:
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Contributed
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Date/Time:
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Wednesday, August 1, 2007 : 8:30 AM to 10:20 AM
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Sponsor:
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ENAR
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| Abstract - #310274 |
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Title:
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A Study of Variability in Mass Spectrometry Data
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Author(s):
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Ann L. Oberg*+ and Douglas W. Mahoney and Jeanette E. Eckel-Passow and Terry M. Therneau and Christopher J. Mason and Kenneth L. Johnson and K. Sreekumaran Nair and H. Robert Bergen
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Companies:
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Mayo Clinic and Mayo Clinic and Mayo Clinic and Mayo Clinic and Mayo Clinic and Mayo Clinic and Mayo Clinic and Mayo Clinic
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Address:
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200 First Street SW, Rochester, MN, 55905,
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Keywords:
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proteomics ; mass spectrometry ; variability ; isotope labeling
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Abstract:
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Characterization of the human proteome is a resource of tremendous potential to biological research. Shotgun proteomics via mass spectrometry is a powerful technology for study of the proteome; it has the potential to lead to a non-invasive screening mechanism of proteins in easily accessible body fluids. To effectively use statistical methodologies, it is important to understand and characterize the variance structure of the resulting data. We present findings from experiments performed via stable isotope labeled 16O/18O and iTRAQ approaches. Linear models were used to model systematic effects and evaluate variability at various levels of data acquisition. Relationships with respect to properties of the sample were evaluated as well as proteome coverage. We found variability to be related to abundance and, not surprisingly, to the number of data points available for quantification.
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