Dataset Information

Phosphoproteome of RA-responsive and RA-resistant breast cancer cell lines

ABSTRACT: Retinoic acid (RA), the main active vitamin A metabolite, controls multiple biological processes such as cell proliferation and differentiation through genomic programs and kinase cascades activation. Due to these properties, RA has proven anti-cancer capacity. Several breast cancer cells respond to the antiproliferative effects of RA, while others are RA-resistant. However, the overall signaling and transcriptional pathways that are altered in such cells have not been elucidated. Here, in a large-scale analysis of the phosphoproteins and in a genome-wide analysis of the RA-regulated genes, we compared two human breast cancer cell lines, a RA-responsive one, the MCF7 cell line, and a RA-resistant one, the BT474 cell line, which depicts several alterations of the "kinome".

OTHER RELATED OMICS DATASETS IN: PRJNA322613

INSTRUMENT(S): LTQ Orbitrap Elite

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Permanent Cell Line Cell, Cell Culture

DISEASE(S): Breast Cancer

SUBMITTER: Luc NEGRONI

LAB HEAD: Cecile Rochette-Egly

PROVIDER: PXD004357 | Pride | 2016-07-05

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

			Action	DRS
	LC_160330_RL016_01_IP-B10.raw	Raw
	LC_160330_RL016_01_IP-B10_spMouse201602SeqRL016_FDR.msf	Msf
	LC_160330_RL016_02_IP-B10_FR-WT.raw	Raw
	LC_160330_RL016_02_IP-B10_FR-WT_spMouse201602SeqRL016_FDR.msf	Msf
	LC_160330_RL016_03_IP-B10_FR-DD.raw	Raw

Items per page:

1 - 5 of 12

Publications

Phosphoproteome and Transcriptome of RA-Responsive and RA-Resistant Breast Cancer Cell Lines.

Carrier Marilyn M Joint Mathilde M Lutzing Régis R Page Adeline A Rochette-Egly Cécile C

PloS one 20160630 6

Retinoic acid (RA), the main active vitamin A metabolite, controls multiple biological processes such as cell proliferation and differentiation through genomic programs and kinase cascades activation. Due to these properties, RA has proven anti-cancer capacity. Several breast cancer cells respond to the antiproliferative effects of RA, while others are RA-resistant. However, the overall signaling and transcriptional pathways that are altered in such cells have not been elucidated. Here, in a lar ...[more]

PMID: 27362937

Similar Datasets

Project description:Background: Rheumatoid arthritis (RA) is a complex heterogenous autoimmune disease and achieving long term disease remission is an elusive goal for patients, thus implying improvement in drug targeting is necessary. Kinases are intracellular signalling mediators and key to sustaining the inflammatory process in RA. Therefore, oral inhibitors of specific kinases, such as Cyclin Dependent Kinases (CDKs) and Janus Kinase (JAKs), are under development or have been approved. However, the cell signalling mechanisms in treatment naïve RA patients is yet to be explored, which may facilitate targeted therapy stratification. Methods: We undertook phosphoproteome and total proteome analysis of 8 pre-treatment synovial biopsies of RA patients using label-free mass spectrometry. Results: The analysis revealed a clear separation of the phosphoproteome and proteome profile between the lymphoid and myeloid RA pathotypes. Differential expression analysis and function enrichment showed that the degree of inflammatory state and specific signalling activities are associated with different RA pathotypes. The lymphoid pathotype was enriched with immunological pathways and associated with Mammalian Target Of Rapamycin (MTOR) signalling, whereas the myeloid pathotype was associated with Mitogen-Activated Protein Kinase (MAPK) and CDK mediated signalling. This analysis also highlighted kinases not previously linked to RA, such as Serine/Threonine Protein Kinase N1 (PKN1) in the lymphoid pathotype and Protein Kinase, DNA-Activated, Catalytic Subunit (PRKDC) in the myeloid pathotypes. Certain phosphosites were also highly correlated with clinical features, such as Disabled Homolog 2 (DAB2)-Ser723 with Disease Activity Score (DAS)-28, and so these may be potential biomarkers of disease progression and response. Conclusions: These data provide evidence that specific phosphoproteome and proteome signatures are associated with different RA pathotypes and may have clinical utility for stratifying patients as part of a personalised medicine approach.