Format

Send to

Choose Destination
Cell. 2015 Jun 4;161(6):1413-24. doi: 10.1016/j.cell.2015.04.051.

Yeast Proteome Dynamics from Single Cell Imaging and Automated Analysis.

Author information

1
The Donnelly Centre, University of Toronto, Toronto, ON M5S3E1, Canada.
2
The Donnelly Centre, University of Toronto, Toronto, ON M5S3E1, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON M5S3E1, Canada.
3
Department of Cell and Systems Biology, University of Toronto, Toronto, ON M5S3E1, Canada.
4
The Donnelly Centre, University of Toronto, Toronto, ON M5S3E1, Canada; Department of Molecular Genetics, University of Toronto, Toronto, ON M5S3E1, Canada. Electronic address: brenda.andrews@utoronto.ca.

Erratum in

  • Cell. 2015 Jul 2;162(1):221. Duffy, Kaluarachchi [corrected to Duffy, Supipi Kaluarachchi].

Abstract

Proteomics has proved invaluable in generating large-scale quantitative data; however, the development of systems approaches for examining the proteome in vivo has lagged behind. To evaluate protein abundance and localization on a proteome scale, we exploited the yeast GFP-fusion collection in a pipeline combining automated genetics, high-throughput microscopy, and computational feature analysis. We developed an ensemble of binary classifiers to generate localization data from single-cell measurements and constructed maps of ∼3,000 proteins connected to 16 localization classes. To survey proteome dynamics in response to different chemical and genetic stimuli, we measure proteome-wide abundance and localization and identified changes over time. We analyzed >20 million cells to identify dynamic proteins that redistribute among multiple localizations in hydroxyurea, rapamycin, and in an rpd3Δ background. Because our localization and abundance data are quantitative, they provide the opportunity for many types of comparative studies, single cell analyses, modeling, and prediction. VIDEO ABSTRACT.

PMID:
26046442
DOI:
10.1016/j.cell.2015.04.051
[Indexed for MEDLINE]
Free full text

Supplemental Content

Full text links

Icon for Elsevier Science
Loading ...
Support Center