Reference: Handfield LF, et al. (2015) Local statistics allow quantification of cell-to-cell variability from high-throughput microscope images. Bioinformatics 31(6):940-7

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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.

Reference Type
Journal Article | Research Support, Non-U.S. Gov't
Authors
Handfield LF, Strome B, Chong YT, Moses AM
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