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Integrated analysis of the Wnt responsive proteome in human cells reveals diverse and cell-type specific networks

Integrated analysis of the Wnt responsive proteome in human cells reveals diverse and cell-type specific networks
Integrated analysis of the Wnt responsive proteome in human cells reveals diverse and cell-type specific networks
Wnt signalling is a fundamentally important signalling pathway that regulates many aspects of metazoan development and is frequently dysregulated in cancer. Although many of the core components of the Wnt signalling pathway{,} such as [small beta]-catenin{,} have been extensively studied{,} the broad systems level responses of the mammalian cell to Wnt signalling are less well understood. In addition{,} the cell- or tissue-specific protein networks that modulate Wnt signalling in the diverse tissues or developmental stages in which it functions remain to be defined. To address these questions{,} we undertook a broad survey of the Wnt response in different human cell lines using both interaction and expression proteomics approaches. Our data reveal both similar and divergent responses of pathways and processes in the three cell-lines analysed as well as a marked attenuation of the response to exogenous Wnt treatment in cells harbouring a stabilizing (activating) mutation of [small beta]-catenin. We also identify cell-type specific components of the Wnt signalling network and find that by integrating expression and interaction proteomics data a more complete description of the Wnt interaction network can be achieved. Finally{,} our results attest to the power of LC-MS/MS to reveal novel cellular responses in even relatively well studied biological pathways such as Wnt signalling.
1742-2051
Song, Jing
c3f6ccf2-4c63-487c-9c39-e25382b9ee91
Wang, Zhenghe
9142416c-1981-4fa6-9fd7-e0a61a81fc33
Ewing, Rob Michael
022c5b04-da20-4e55-8088-44d0dc9935ae
Song, Jing
c3f6ccf2-4c63-487c-9c39-e25382b9ee91
Wang, Zhenghe
9142416c-1981-4fa6-9fd7-e0a61a81fc33
Ewing, Rob Michael
022c5b04-da20-4e55-8088-44d0dc9935ae

Song, Jing, Wang, Zhenghe and Ewing, Rob Michael (2013) Integrated analysis of the Wnt responsive proteome in human cells reveals diverse and cell-type specific networks. Molecular BioSystems. (doi:10.1039/C3MB70417C).

Record type: Article

Abstract

Wnt signalling is a fundamentally important signalling pathway that regulates many aspects of metazoan development and is frequently dysregulated in cancer. Although many of the core components of the Wnt signalling pathway{,} such as [small beta]-catenin{,} have been extensively studied{,} the broad systems level responses of the mammalian cell to Wnt signalling are less well understood. In addition{,} the cell- or tissue-specific protein networks that modulate Wnt signalling in the diverse tissues or developmental stages in which it functions remain to be defined. To address these questions{,} we undertook a broad survey of the Wnt response in different human cell lines using both interaction and expression proteomics approaches. Our data reveal both similar and divergent responses of pathways and processes in the three cell-lines analysed as well as a marked attenuation of the response to exogenous Wnt treatment in cells harbouring a stabilizing (activating) mutation of [small beta]-catenin. We also identify cell-type specific components of the Wnt signalling network and find that by integrating expression and interaction proteomics data a more complete description of the Wnt interaction network can be achieved. Finally{,} our results attest to the power of LC-MS/MS to reveal novel cellular responses in even relatively well studied biological pathways such as Wnt signalling.

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More information

e-pub ahead of print date: 31 October 2013
Organisations: Molecular and Cellular, Biomedicine

Identifiers

Local EPrints ID: 359524
URI: https://eprints.soton.ac.uk/id/eprint/359524
ISSN: 1742-2051
PURE UUID: b5ae5dcc-f2e7-408a-a2a1-d1d97161cfde
ORCID for Rob Michael Ewing: ORCID iD orcid.org/0000-0001-6510-4001

Catalogue record

Date deposited: 05 Nov 2013 11:54
Last modified: 19 Jul 2019 00:41

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