Protein expression is one of the most important variables describing the 'dimensions' of cellular systems. In contrast to a plethora of mRNA expression data, only limited numbers of protein expression datasets exist, with the exception of yeast. For wild-type yeast grown in rich medium to log-phase a number of proteomics datasets are available that define expression both respect to protein presense and/or protein concentrations.
We assembled these datasets to derive what we call a 'gold standard' of protein expression in yeast - although in reality this may rather be a silver or bronze standard.
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The dataset Data_02 described below represents a fifth list of proteins detected in yeast using mass spectrometry. Data_02 has been collected in-house.
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LC/LC-MS/MS data was collected on an Thermo LTQ Orbitrap, using a total of 8 injections with varying conditions. The sample was prepared from yeast cellular extract, as described in the standard protocols in the MS Data Repository and here.
Primary authors of this dataset are: Dr. John Prince (Boulder, Colorado) and Dr. Zhihua Li (Austin, Texas). Secondary analysis of the MS/MS data was also performed by: Dr. Christine Vogel (Austin, Texas).
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