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Assessing sub-cellular resolution in spatial proteomics experiments.

Authors
  • Gatto, Laurent1
  • Breckels, Lisa M2
  • Lilley, Kathryn S3
  • 1 Computational Proteomics Unit, Department of Biochemistry, University of Cambridge, Tennis Court Road, Cambridge, CB2 1QR, UK; Cambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, Tennis Court Road, Cambridge, CB2 1QR, UK; de Duve Institute, UCLouvain, Avenue Hippocrate 75, 1200 Brussels, Belgium. Electronic address: [email protected] , (Belgium)
  • 2 Computational Proteomics Unit, Department of Biochemistry, University of Cambridge, Tennis Court Road, Cambridge, CB2 1QR, UK; Cambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, Tennis Court Road, Cambridge, CB2 1QR, UK.
  • 3 Cambridge Centre for Proteomics, Department of Biochemistry, University of Cambridge, Tennis Court Road, Cambridge, CB2 1QR, UK.
Type
Published Article
Journal
Current opinion in chemical biology
Publication Date
Feb 01, 2019
Volume
48
Pages
123–149
Identifiers
DOI: 10.1016/j.cbpa.2018.11.015
PMID: 30711721
Source
Medline
Language
English
License
Unknown

Abstract

The sub-cellular localisation of a protein is vital in defining its function, and a protein's mis-localisation is known to lead to adverse effect. As a result, numerous experimental techniques and datasets have been published, with the aim of deciphering the localisation of proteins at various scales and resolutions, including high profile mass spectrometry-based efforts. Here, we present a meta-analysis assessing and comparing the sub-cellular resolution of 29 such mass spectrometry-based spatial proteomics experiments using a newly developed tool termed QSep. Our goal is to provide a simple quantitative report of how well spatial proteomics resolve the sub-cellular niches they describe to inform and guide developers and users of such methods. Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved.

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