Local statistics allow quantification of cell-to-cell variability from high-throughput microscope images.

ABSTRACT:

Motivation

Quantifying variability in protein expression is a major goal of systems biology and cell-to-cell variability in subcellular localization pattern has not been systematically quantified.

Results

We define a local measure to quantify cell-to-cell variability in high-throughput microscope images and show that it allows comparable measures of variability for proteins with diverse subcellular localizations. We systematically estimate cell-to-cell variability in the yeast GFP collection and identify examples of proteins that show cell-to-cell variability in their subcellular localization.

Conclusions

Automated image analysis methods can be used to quantify cell-to-cell variability in microscope images.

SUBMITTER: Handfield LF 

PROVIDER: S-EPMC4380034 | biostudies-literature | 2015 Mar

REPOSITORIES: biostudies-literature