2005
DOI: 10.1074/mcp.m400193-mcp200
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Quantitative Proteomic Analysis Using Isobaric Protein Tags Enables Rapid Comparison of Changes in Transcript and Protein Levels in Transformed Cells

Abstract: Isobaric tags for relative and absolute quantitation, an approach to concurrent, relative quantification of proteins present in four cell preparations, have recently been described. To validate this approach using complex mammalian cell samples that show subtle differences in protein levels, a model stem cell-like cell line (FDCP-mix) in the presence or absence of the leukemogenic oncogene TEL/PDGFR␤ has been studied. Cell lysates were proteolytically digested, and peptides within each sample were labeled with… Show more

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Cited by 104 publications
(135 citation statements)
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“…We obtain this interval estimate by first estimating the endpoints of a 95% CI for logθ i based on the approximate normality of the sampling distribution of log . Exponentiation of the endpoints of that interval yield an approximate 95% CI for θ i , given by (6) We advocate interval estimation of θ i based on Equation (6) as opposed to the more familiar , which produces an unrealistically symmetric interval, suffers from the possibility of yielding a negative lower bound, and is based on the unlikely assumption that the sampling distribution of is approximately normal. The approach to interval estimation described by Equation (6) for parameters with skewed sampling distributions (e.g.…”
Section: Model Fitting and Ratio Estimationmentioning
confidence: 99%
See 1 more Smart Citation
“…We obtain this interval estimate by first estimating the endpoints of a 95% CI for logθ i based on the approximate normality of the sampling distribution of log . Exponentiation of the endpoints of that interval yield an approximate 95% CI for θ i , given by (6) We advocate interval estimation of θ i based on Equation (6) as opposed to the more familiar , which produces an unrealistically symmetric interval, suffers from the possibility of yielding a negative lower bound, and is based on the unlikely assumption that the sampling distribution of is approximately normal. The approach to interval estimation described by Equation (6) for parameters with skewed sampling distributions (e.g.…”
Section: Model Fitting and Ratio Estimationmentioning
confidence: 99%
“…[6][7][8] We present an ANOVA analytic approach that combines both normalization (bias removal) and assessment of differential protein expression in a single model fit to the collection of reporter ion peak areas (corrected for isotopic overlap) from all observed tandem mass spectra. Notably, our model allows for analysis of data from multiple iTRAQ experiments, overcoming the constraint of current iTRAQ protein quantitation software that limits analysis to a single experiment.…”
Section: Introductionmentioning
confidence: 99%
“…Interestingly, Src was also found to coprecipitate with RhoGDI2. Recent reports identified RhoGDI1 (8,9) and RhoGDI2 (10) as tyrosinephosphorylated proteins in cancer cells. Furthermore, Src regulates RhoGDI1 function through phosphorylation on a tyrosine that is conserved in RhoGDI2 (11).…”
Section: Mass Spectroscopic Identification Of Rhogdi2 Immunocomplex Pmentioning
confidence: 99%
“…The iTRAQ package ProQuant assumes that peptide ratio data for a protein follow a log-normal distribution (19). Averaging can be via mean (20), weighted average (21,22), or weighted correlation (23). Some of these methods try to take into account the varying precision of the peptide measurements.…”
mentioning
confidence: 99%