Proteomics

Dataset Information

Maximizing Confidence and Sensitivity in quantitative Phosphoproteomics


ABSTRACT: Proteome-wide analysis of phosphorylation events is a challenging, yet essential, task for the comprehensive and unbiased investigation of kinase action. Here we developed a phosphoproteomic approach in which quantitation consistency among reversed isotopically labeled samples is used as a central filtering rule for achieving reliability with minimal loss of data content. Exclusion of non-reverting data-points from the dataset not only reduces quantitation error and variation, but also reduces false positive identifications. This dataset corresponds to SILAC labeling swapping control experiments.

INSTRUMENT(S): Q Exactive HF

ORGANISM(S): Saccharomyces Cerevisiae (ncbitaxon:4932)

SUBMITTER: Marcus Smolka  

PROVIDER: MSV000084852 | MassIVE | Wed Jan 29 06:47:00 GMT 2020

SECONDARY ACCESSION(S): PXD017322

REPOSITORIES: MassIVE