Proteomics

Dataset Information

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A compendium of co-regulated protein complexes in breast cancer reveals collateral loss events


ABSTRACT: Protein complexes are responsible for the bulk of activities within the cell, but how their behavior and abundance varies across tumors remains poorly understood. By combining proteomic profiles of breast tumors with a large-scale protein-protein interaction network, we have identified a set of 285 high-confidence protein complexes whose subunits have highly correlated protein abundance across tumor samples. We used this set to identify complexes that are reproducibly under- or over-expressed in specific breast cancer subtypes. We found that mutation or deletion of one subunit of a co-regulated complex was often associated with a collateral reduction in protein expression of additional complex members. This collateral loss phenomenon was typically evident from proteomic, but not transcriptomic, profiles suggesting post- transcriptional control. Mutation of the tumor suppressor E-cadherin (CDH1) was associated with a collateral loss of members of the adherens junction complex, an effect we validated using an engineered model of E-cadherin loss.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Cell Culture

SUBMITTER: Susan Kennedy  

LAB HEAD: Colm Ryan

PROVIDER: PXD007543 | Pride | 2018-10-01

REPOSITORIES: Pride

Dataset's files

Source:
Action DRS
20170210_MCF7_LysC_Null_1a.raw Raw
20170210_MCF7_LysC_Null_1b.raw Raw
20170210_MCF7_LysC_Null_2a.raw Raw
20170210_MCF7_LysC_Null_2b.raw Raw
20170210_MCF7_LysC_Null_3a.raw Raw
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Publications

A Compendium of Co-regulated Protein Complexes in Breast Cancer Reveals Collateral Loss Events.

Ryan Colm J CJ   Kennedy Susan S   Bajrami Ilirjana I   Matallanas David D   Lord Christopher J CJ  

Cell systems 20171011 4


Protein complexes are responsible for the bulk of activities within the cell, but how their behavior and abundance varies across tumors remains poorly understood. By combining proteomic profiles of breast tumors with a large-scale protein-protein interaction network, we have identified a set of 285 high-confidence protein complexes whose subunits have highly correlated protein abundance across tumor samples. We used this set to identify complexes that are reproducibly under- or overexpressed in  ...[more]

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