Data from: Evaluating single-cell variability in proteasomal decay

Gene expression is a stochastic process that leads to variability in mRNA
and protein abundances even within an isogenic population of cells grown
in the same environment. This variation, often called
gene-expression noise, has typically been attributed to transcriptional
and translational processes while ignoring the contributions of protein
decay variability across cells. Here we estimate the single-cell
protein decay rates of two degron GFPs in \textit{Saccharomyces
cerevisiae} using time-lapse microscopy. We find substantial
cell-to-cell variability in the decay rates of the degron GFPs.We evaluate
cellular features that explain the variability in the proteasomal decay
and find that the amount of 20s catalytic beta subunit of the proteasome
marginally explains the observed variability in the degron GFP
half-lives. We propose alternate hypotheses that might explain
the observed variability in the decay of the two degron GFPs.Overall, our
study highlights the importance of studying the kinetics of the decay
process at single-cell resolution and that decay rates vary at the
single-cell level, and that the decay process is stochastic. A
complex model of decay dynamics must be included when modeling stochastic
gene expression to estimate gene expression noise.