Dataset Information

Comparing the diagnostic classification accuracy of iTRAQ, peak-area, spectral-counting and emPAI methods for relative quantification in expression proteomics

ABSTRACT: We present a comparison of the diagnostic accuracy of iTRAQ with three label free methods (peak-area, spectral-counting, and emPAI) for relative quantification using a spiked proteome standard.

INSTRUMENT(S): maXis

ORGANISM(S): Equus Caballus (ncbitaxon:9796) Bos Taurus (ncbitaxon:9913) Escherichia Coli (ncbitaxon:562) Oryctolagus Cuniculus (ncbitaxon:9986) Gallus Gallus (ncbitaxon:9031) Saccharomyces Cerevisiae (ncbitaxon:4932)

SUBMITTER: Adam A. Dowle

PROVIDER: MSV000079803 | MassIVE | Wed Jun 08 05:46:00 BST 2016

SECONDARY ACCESSION(S): PXD004290

REPOSITORIES: MassIVE

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Publications

Comparing the Diagnostic Classification Accuracy of iTRAQ, Peak-Area, Spectral-Counting, and emPAI Methods for Relative Quantification in Expression Proteomics.

Dowle Adam A AA Wilson Julie J Thomas Jerry R JR

Journal of proteome research 20160906 10

Diagnostic classification accuracy is critical in expression proteomics to ensure that as many true differences as possible are identified with acceptable false-positive rates. We present a comparison of the diagnostic accuracy of iTRAQ with three label-free methods, peak area, spectral counting, and emPAI, for relative quantification using a spiked proteome standard. We provide the first validation of emPAI for intersample relative quantification and find clear differences among the four quanti ...[more]

PMID: 27546623

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