English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT
  Global, quantitative and dynamic mapping of protein subcellular localization

Itzhak, D. N., Tyanova, S., Cox, J., & Borner, G. H. H. (2016). Global, quantitative and dynamic mapping of protein subcellular localization. eLife, 5: e16950. doi:10.7554/eLife.16950.

Item is

Files

show Files
hide Files
:
e16950.pdf (Any fulltext), 3MB
Name:
e16950.pdf
Description:
-
Visibility:
Public
MIME-Type / Checksum:
application/pdf / [MD5]
Technical Metadata:
Copyright Date:
-
Copyright Info:
open access article
License:
-

Locators

show

Creators

show
hide
 Creators:
Itzhak, Daniel N.1, Author              
Tyanova, Stefka1, 2, Author              
Cox, Jürgen1, 2, Author              
Borner, Georg H. H.1, Author              
Affiliations:
1Mann, Matthias / Proteomics and Signal Transduction, Max Planck Institute of Biochemistry, Max Planck Society, ou_1565159              
2Cox, Jürgen / Computational Systems Biochemistry, Max Planck Institute of Biochemistry, Max Planck Society, ou_2063284              

Content

show
hide
Free keywords: -
 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 8700 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.

Details

show
hide
Language(s): eng - English
 Dates: 2016-06-09
 Publication Status: Published online
 Pages: 36
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.7554/eLife.16950
 Degree: -

Event

show

Legal Case

show

Project information

show

Source 1

show
hide
Title: eLife
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: Cambridge : eLife Sciences Publications
Pages: - Volume / Issue: 5 Sequence Number: e16950 Start / End Page: - Identifier: ISSN: 2050-084X
CoNE: https://pure.mpg.de/cone/journals/resource/2050-084X