Global, quantitative and dynamic mapping of protein subcellular localization

Cited 116
Views 12,180
Annotations

Cite this article as: eLife 2016;5:e16950 doi: 10.7554/eLife.16950

Article
Figures and data
Jump to

Abstract

Subcellular localization critically influences protein function, and cells control protein localization to regulate biological processes. We have developed and applied Dynamic Organellar Maps, a proteomic method that allows global mapping of protein translocation events. We initially used maps statically to generate a database with localization and absolute copy number information for over 8,700 proteins from HeLa cells, approaching comprehensive coverage. All major organelles were resolved, with exceptional prediction accuracy (estimated at >92%). Combining spatial and abundance information yielded an unprecedented quantitative view of HeLa cell anatomy and organellar composition, at the protein level. We subsequently demonstrated the dynamic capabilities of the approach by capturing translocation events following EGF stimulation, which we integrated into a quantitative model. Dynamic Organellar Maps enable the proteome-wide analysis of physiological protein movements, without requiring any reagents specific to the investigated process, and will thus be widely applicable in cell biology.

Article and author information

Author details

Daniel N Itzhak

Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany

Competing interests
The authors declare that no competing interests exist.
Stefka Tyanova

Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany

Competing interests
The authors declare that no competing interests exist.
Jürgen Cox

Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany

Competing interests
The authors declare that no competing interests exist.
Georg HH Borner

Department of Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Martinsried, Germany

For correspondence
borner@biochem.mpg.de

Competing interests
The authors declare that no competing interests exist.

Reviewing Editor

Ramanujan S Hegde, MRC Laboratory of Molecular Biology, United Kingdom

Publication history

Received: April 14, 2016
Accepted: June 8, 2016
Accepted Manuscript published: June 9, 2016 (version 1)
Version of Record published: July 26, 2016 (version 2)
Version of Record updated: July 28, 2016 (version 3)

Copyright

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.