Dynamics of Protein Turnover, a Missing Dimension in Proteomics

摘要: Functional genomic experiments frequently involve a comparison of the levels gene expression between two or more genetic, developmental, physiological states. Such comparisons can be carried out at either RNA (transcriptome) protein (proteome) level, but there is often lack congruence parallel analyses using these approaches. To fully interpret abundance data from proteomic experiments, it necessary to understand contributions made by opposing processes synthesis and degradation transition states compared. Thus, need for reliable methods determine rates turnover individual proteins amounts comparable those obtained in experiments. Here, we show that stable isotope-labeled amino acids used define rate breakdown inspection mass shifts tryptic fragments. The approach has been applied an analysis abundant glucose-limited yeast cells grown aerobic chemostat culture steady state. average 50 was 2.2%/h, although some were turned over imperceptible rates, others had almost 10%/h. This range values suggests significant missing dimension needs considered when assessing comparing relative cognate mRNA species.