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Mol Biosyst. 2016 Dec 20;13(1):92-105.

Proteomics profiling of interactome dynamics by colocalisation analysis (COLA).

Author information

1
Institute of Cancer Research, Division of Cancer Biology, 237 Fulham Road, London SW3 6JB, UK. chris.bakal@icr.ac.uk mardakheh@icr.ac.uk.
2
Institute of Cancer Research, Division of Cancer Biology, 237 Fulham Road, London SW3 6JB, UK. chris.bakal@icr.ac.uk mardakheh@icr.ac.uk and Institute of Biomedical Engineering, University of Oxford, Old Road Campus Research Building, Oxford OX3 7DQ, UK.
3
Institute of Cancer Research, Division of Cancer Biology, 237 Fulham Road, London SW3 6JB, UK. chris.bakal@icr.ac.uk mardakheh@icr.ac.uk and Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, USA.
4
Cancer Research UK Manchester Institute, University of Manchester, Wilmslow Road, Manchester M20 4BX, UK.

Abstract

Localisation and protein function are intimately linked in eukaryotes, as proteins are localised to specific compartments where they come into proximity of other functionally relevant proteins. Significant co-localisation of two proteins can therefore be indicative of their functional association. We here present COLA, a proteomics based strategy coupled with a bioinformatics framework to detect protein-protein co-localisations on a global scale. COLA reveals functional interactions by matching proteins with significant similarity in their subcellular localisation signatures. The rapid nature of COLA allows mapping of interactome dynamics across different conditions or treatments with high precision.

PMID:
27824369
PMCID:
PMC5315029
DOI:
10.1039/c6mb00701e
[Indexed for MEDLINE]
Free PMC Article

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