Statistical analysis of membrane proteome expression changes in Saccharomyces cerevisiae.
We have devised an approach for analyzing shotgun proteomics datasets based on the normalized spectral abundance factor that can be used for quantitative proteomics analysis. Three biological replicates of samples enriched for plasma membranes were isolated from S. cerevisiae grown in 14N-rich media and 15N-minimal media and analyzed via quantitative multidimensional protein identification technology. The natural log transformation of NSAF values from S. cerevisiae cells grown in 14N YPD media and 15N-minimal media had a normal distribution. The t-test analysis demonstrated 221 of 1316 proteins were significantly overexpressed in one or the other growth conditions with a p value <0.05. Notably, amino acid transporters were among the 14 membrane proteins that were significantly upregulated in cells grown in minimal media, and we functionally validated these increases in protein expression with radioisotope uptake assays for selected proteins.
Zybailov
Boris
B
Stowers Institute for Medical Research, 1000 East 50th Street, Kansas City, Missouri 64110, USA.
Mosley
Amber L
AL
Sardiu
Mihaela E
ME
Coleman
Michael K
MK
Florens
Laurence
L
Washburn
Michael P
MP
D003627:Data Interpretation, Statistical; D015966:Gene Expression Regulation, Fungal; D008565:Membrane Proteins / Q000378:metabolism*; D009590:Nitrogen Radioisotopes; D040901:Proteomics / Q000379:methods*; D012441:Saccharomyces cerevisiae / Q000235:genetics / Q000378:metabolism*
D008565:Membrane Proteins; D009590:Nitrogen Radioisotopes