Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Homo sapiens

ABSTRACT: A common cell state in Triple Negative Breast Cancers represents a druggable vulnerability

OTHER RELATED OMICS DATASETS IN: PXD001680

PROVIDER: PRJNA268911 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR1685740.fastq.gz	Fastqsanger.gz
	SRR1685741.fastq.gz	Fastqsanger.gz
	SRR1685742.fastq.gz	Fastqsanger.gz
	SRR1685743.fastq.gz	Fastqsanger.gz
	SRR1685744.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 10

Similar Datasets

Differential analysis of nucleolar proteomics in triple negative breast cancer

Project description:Breast cancer is one of the most common cancers in women. Of the different subtypes of breast cancer, the triple negative breast cancer subtype of breast cancer is the most aggressive. A proteomic screen of nucleolar content across breast cancer subtypes found that triple negative breast cancer cell lines have a distinct nucleolar proteome signature in comparison to non-TNBC breast cancer cell lines.

2021-03-05 | PXD021201 | Pride

Global phosphotyrosine survey reveals activation of multiple tyrosine kinase signaling pathways in triple negative breast cancer

Project description:About 15-20% of all breast cancers are triple negative breast cancers, which are often highly aggressive. We performed global quantitative phosphotyrosine profiling of a large panel of triple negative breast cancer cell lines using high resolution Fourier transform mass spectrometry. Our study identified 1,903 tyrosine-phosphorylated peptides derived from 969 proteins. Heterogeneous activation of tyrosine kinases was observed in triple negative breast cancer derived cell lines.

2016-07-06 | PXD001222 | Pride

Thymidylate synthase maintains the de-differentiated state of triple negative breast cancers

Project description:Thymidylate synthase maintains the de-differentiated state of triple negative breast cancers

| PRJNA506989 | ENA

A common cell state in Triple Negative Breast Cancers can be targeted through inhibition of Spleen Tyrosine Kinase (SYK)

Project description:Breast tumors are highly heterogeneous and for many molecular subtypes no targeted therapies are available. These include breast cancers that display hallmarks of epithelial to mesenchymal transition (EMT), a process related to metastasis and enriched in triple negative breast cancers (TNBCs). To determine whether this EMT cellular state could be therapeutically exploited, we performed a large-scale chemical genetic screen. We identified a group of structurally related compounds, including the clinically advanced drug PKC412 (midostaurin), that targeted post-EMT breast cancer cells. PKC412 induced apoptosis specifically in basal-like TNBC cells and inhibited tumor growth in vivo. Structure activity relationship (SAR) studies, chemical proteomics, and computational modeling identified the kinase SYK as a critical PKC412 target. Specific SYK inhibitors and PKC412 displayed a similar profile across a large panel of breast cancer cell lines, indicating a shared mode of action. Phosphoproteomics analysis revealed that SYK activates STAT3, and chemical or genetic inhibition of STAT3 resulted in cell death in basal-like breast cancer cells. This non-oncogene addiction of basal-like breast cancer cells to SYK suggests that chemical SYK inhibition may be beneficial for a specific subset of triple negative breast cancer patients.

2016-06-15 | PXD001680 | Pride

Proteomic characterisation of triple negative breast cancer cells following CDK4/6 inhibition

Project description:CDK4/6 inhibitor, Palbociclib, has shown a high success in breast cancer subtypes however it is often accompanied by a dependency on mutation status of cell lines. Consequently, there has been speculation on the breast cancer subtypes which should be offered treatment with specific CDK4/6 inhibitors and the response that can be expected. A common observation has been the induction of a cell programme known as "senescence" whereby cells experience a complete halt in mitosis, however, remaining metabolically active. Therapy-induced senescence markers and its effect on the tumour microenvironment as well as the diversity of this cell state remain unappreciated. In the following proteomics, phosphoproteomics and secretome datasets we focus on MDA-MB-231 cells, a triple negative cell line, to better understand the senescence-like cell state which arises after treatment. Ultimately, the dataset encompasses the population that arises upon Palbociclib treatment and highlights potential signatures and biomarkers of the cell state which could provide information on the use of CDK4/6 inhibitors in triple negative breast cancer subtypes.

2022-01-28 | PXD030407 | Pride

Polo-like kinase 1 inhibitors differentiate triple-negative breast cancer towards a luminal cell fate

Project description:Plasticity delineates cancer subtypes with more or less favourable outcomes. In breast cancer, triple-negative is the subtype that lacks the expression of major differentiation markers (i.e. estrogen receptor [ER]), ant its high cellular plasticity results in higher aggressiveness and poor prognosis compared to other subtypes. Whether plasticity poses a vulnerability to cancer cells remains elusive. Here, we show that cancer cell plasticity can be exploited to differentiate triple-negative breast cancer. Using a high-throughput reporter drug screen with 9,501 compounds, we identify three polo-like kinase 1 (PLK1) inhibitors as major inducers of ER protein expression and downstream activity in triple-negative breast cancer cells via the transcription factor BATF. PLK1 inhibition upregulates a cell differentiation program characterized by increased DNA damage, mitotic arrest and ultimately cell death. Notably, cells surviving PLK1 inhibition have decreased tumorigenic potential, and targeting PLK1 in already established tumours reduces tumour growth both in cell line and patient-derived xenograft models. In addition, genes upregulated upon PLK1 inhibition are correlated with expression in normal breast tissue and confer better overall survival in breast cancer patients. Our results indicate that differentiation therapy based on PLK1 inhibition might be an alternative strategy to treat triple-negative breast cancer.

2022-08-23 | PXD028495 | Pride

RNA-seq in Hs578T cells stimulated with TGF-β

Project description:Transforming growth factor-β (TGF-β) comprises a key component in the tumor microenvironment. It is reported that TGF-β can be pro-tumorigenic or anti-tumorigenic depending on various contexts. Some of the triple negative breast cancers highly express TGF-β, but pro-tumorigenic function of TGF-β in triple negative breast cancer cells is not fully known. Therefore, we analyzed genome-wide gene expression changes after stimulation with TGF-β in a triple negative breast cancer cell line, Hs578T cells.

2020-12-24 | GSE152414 | GEO

Molecular characteristics and metastasis predictor genes of triple-negative breast cancer

Project description:This microarray dataset contains 51 triple-negative breast cancers with clinical and recurrence information for at least 3 years of follow-up and 106 luminal breast cancers (reanalyzed data from Series GSE24124, GSE9309, and GSE17040). A novel set of 45-gene signature that was statistically predictive of distant metastasis recurrence for triple-negative breast cancer was identified in this study.

2012-11-01 | GSE33926 | GEO

Transcriptomic profiling of 62 breast cancer cell lines and PDX models

Project description:62 breast cell lines composed of 27 Triple negative breast cancers (TNBC), 5 Non malignant (NM) lines, 14 Hormone receptor positive (HR+) and 16 Her2 amplified lines (Her2amp) were profiled

2020-06-21 | GSE152908 | GEO

Molecular characteristics and metastasis predictor genes of triple-negative breast cancer (II)

Project description:This microarray dataset contains 51 triple-negative breast cancers, 25 normal breast tissues, and 106 luminal breast cancers (reanalyzed data from Series GSE24124, GSE9309, and GSE17040). Keywords: Expression profiling by array

2014-01-02 | GSE53752 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data