Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Transcriptional profiling of AGPS knockout breast cancer cells treated with TGF-B

ABSTRACT: This study investigates the transcriptional changes associated with depleting ether lipids via AGPS (alkylglycerone phosphate synthase) knockout in epithelial PyMT-1099 murine breast cancer cells. RNA-Seq was performed to compare the gene expression profiles between AGPS knockout and control cells, both in the presence and absence of TGF-B treatment. The data provide insights into how ether lipid metabolism intersects with TGF-B-mediated signaling pathways and epithelial-to-mesenchymal transition (EMT) in breast cancer.

ORGANISM(S): Mus musculus

PROVIDER: GSE300281 | GEO | 2026/06/18

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other
	GSE300281_All_samples_normalized_counts.txt.gz	Txt
	GSE300281_RAW.tar	Raw
	filelist.txt	Txt

Items per page:

1 - 4 of 4

Similar Datasets

PyMT-1099, a murine derived cell line is a breast cancer specific model for EMT

Project description:Background: Epithelial-mesenchymal transition (EMT) has been implicated in metastasis, drug resistance, survival under stress and also conferring stem cell-like traits to cancer cells. However, several of the studies have been carried out using model systems that don’t appropriately recapitulate all stages of the dynamic process of EMT. Hence, there is a need to overcome this limitation by development of a model system that allows us to mimic each stage of EMT and accurately assess the plastic changes associated with it. Methods: We have derived a cancer cell line from the PyMT-MMTV model of breast cancer, named PyMT-1099 cells, and undertaken a detailed characterization of the morpho-genetic changes it undergoes during a TGF-induced EMT. Further, we have also performed high throughput transcriptomics on PyMT-1099 cells undergoing EMT in a high resolution kinetic of TGF treatment. Results: We show that PyMT-1099 cells undergo an EMT comparable to the classically used immortalized NMuMG cells as assessed by morphological, and marker expression changes on TGFtreatment. Further, PyMT-1099 cells can also migrate in vitro in response to TGF treatment. These cells are also tumorigenic and lead to metastasis formation when transplanted into immunocompromised mice. Conclusion: In this study we report the development of PyMT-1099 cells as an excellent tool to model and study breast cancer-associated EMT both in vitro and in vivo and show that these cells overcome the limitations posed by other cellular systems currently being used to study EMT

2018-10-03 | GSE114572 | GEO

Mesenchymal Epithelial Transition (MET) Timecourse of NMuMG-E9 cells treated with TGFb

Project description:Background: Epithelial-mesenchymal transition (EMT) has been implicated in metastasis, drug resistance, survival under stress and also conferring stem cell-like traits to cancer cells. However, several of the studies have been carried out using model systems that don’t appropriately recapitulate all stages of the dynamic process of EMT. Hence, there is a need to overcome this limitation by development of a model system that allows us to mimic each stage of EMT and accurately assess the plastic changes associated with it. Methods: We have derived a cancer cell line from the PyMT-MMTV model of breast cancer, named PyMT-1099 cells, and undertaken a detailed characterization of the morpho-genetic changes it undergoes during a TGFbeta-induced EMT. Further, we have also performed high throughput transcriptomics on PyMT-1099 cells undergoing EMT in a high resolution kinetic of TGFbeta treatment. Results: We show that PyMT-1099 cells undergo an EMT comparable to the classically used immortalized NMuMG cells as assessed by morphological, and marker expression changes on TGFbeta treatment. Further, PyMT-1099 cells can also migrate in vitro in response to TGFbeta treatment. These cells are also tumorigenic and lead to metastasis formation when transplanted into immunocompromised mice. Conclusion: In this study we report the development of PyMT-1099 cells as an excellent tool to model and study breast cancer-associated EMT both in vitro and in vivo and show that these cells overcome the limitations posed by other cellular systems currently being used to study EMT

2018-10-03 | GSE117474 | GEO

LncRNA LETS1 promotes TGF--induced EMT and cancer progression

Project description:Transforming growth factor- (TGF-) signaling is a critical driver of epithelial–mesenchymal transition (EMT) and cancer progression. However, the regulatory roles of long non-coding RNAs (lncRNAs) in TGF--induced EMT and cancer progression are not well understood. Here, we identified an unannotated nuclear lncRNA LETS1 (LncRNA Enforcing TGF- Signaling 1) as a novel TGF-/SMAD target gene. Loss of LETS1 attenuates TGF--induced EMT, migration and extravasation in breast and lung cancer cells. LETS1 potentiates TGF-/SMAD signaling by stabilizing cell surface TGF- type I receptor (TRI) and thereby forms a positive feedback loop. Mechanistically, LETS1 inhibits TRI polyubiquitination by inducing the orphan nuclear receptor 4A1 (NR4A1) expression, a critical determinant of a destruction complex for inhibitory SMAD7. An unbiased interactome analysis identified the Nuclear Factor of Activated T Cells (NFAT5) as a protein partner of LETS1 to mediate activation of NR4A1 promoter. Overall, our findings characterize LETS1 as an EMT-promoting lncRNA and elucidate the mechanism by which nuclear LETS1 potentiates TGF- receptor signaling.

2023-07-31 | PXD037401 | Pride

The TGF-β/SMAD pathway upregulates SRC

Project description:The non-receptor tyrosine kinase SRC is upregulated in various human cancers and plays crucial roles in cancer progression by promoting invasion and metastasis. We show that the transforming growth factor beta (TGF-β/SMAD pathway directly upregulates SRC during the epithelial-mesenchymal transition. In human epithelial MCF10A cells, TGF-β1 treatment markedly upregulated mRNA expression of SRC. Knockout of SMAD4 suppressed upregulation of SRC by TGF-β1. ChIP-sequencing analysis revealed that SRC was transcribed from the SRC1A promoter, which interacted with SMAD2 and SMAD4, in response to TGF-β1. These findings demonstrate that a direct interaction of the activated SMAD complex with the SRC1A promoter directly upregulates SRC and suggest that TGF-β contributes to SRC upregulation in the tumor microenvironment, where TGF-β-mediated tumor progression takes place.

2023-11-20 | GSE122913 | GEO

CdGAP is a Talin-binding protein and a target of TGF-β signaling that promotes HER2-positive breast cancer growth and metastasis

Project description:Epithelial-to-mesenchymal transition (EMT) plays a crucial role in metastasis, which is the leading cause of death in breast cancer patients. We show that Cdc42 GTPase-activating protein (CdGAP) promotes tumor formation and metastasis to lungs in the HER2-positive (HER2+) murine breast cancer model. CdGAP facilitates intravasation, extravasation, and growth at metastatic sites. CdGAP depletion in HER2+ murine primary tumors mediates crosstalk with a Dlc1-RhoA pathway and is associated with a transforming growth factor-β (TGF-β)-induced EMT transcriptional signature. To further delineate the molecular mechanisms underlying the pro-migratory role of CdGAP in breast cancer cells, we searched for CdGAP interactors by performing a proteomic analysis using HEK293 cells overexpressing GFP-CdGAP. We found that CdGAP interacts with the adaptor Talin to modulate focal adhesion dynamics and integrin activation. Moreover, HER2+ breast cancer patients with high CdGAP mRNA expression combined with a high TGF-β-EMT signature are more likely to present lymph node invasion. Our results suggest CdGAP as a candidate therapeutic target for HER2+ metastatic breast cancer by inhibiting TGF-β and Integrin/Talin signaling pathways.

2023-07-14 | PXD043376 | Pride

Growth Factor Levels in the Blood of Patients Undergoing Radiation Therapy for Epithelial Cancer

Project description:RATIONALE: Measuring levels of transforming growth factor-beta (TGF-beta) in the blood of patients with epithelial cancers (head and neck, lung, breast, colorectal, and prostate) may help doctors predict how patients will respond to treatment with radiation therapy. PURPOSE: This research study is measuring levels of TGF-beta in patients with epithelial cancers who are undergoing radiation therapy.

| 2072028 | ecrin-mdr-crc

Differential expression of GFP+ and RFP+ TriPyMT cells

2015-09-01 | GSE72480 | GEO

Differential expression of GFP+ and RFP+ TriPyMT cells

Project description:Tri-PyMT cell is a breast tumor cell line established from Tri-PyMT (MMTV-PyMT/fsp1-Cre/Rosa26-RGFP) primary breast tumors. The cells switch from RFP+ to GFP+ during epithelial to mesenchymal transition (EMT). Differential expressed genes between EMT and non-EMT tumor cells will reveal interesting targets for anti-EMT approaches. Tri-PyMT cells were culture in medium with serum (10%FBS). Cells were treated with or without 4-hydroperoxy-cyclophosphamide (4µM) for 7 days and sorted by flow cytometry into RFP+ and GFP+ subpopulations for RNA extraction and subsequent RNA-Seq analysis.

2015-09-01 | E-GEOD-72480 | biostudies-arrayexpress

TGF-beta specific gene expression signatures in breast cancer stem cells

Project description:Analyze TGF-beta pathway transcriptional regulation in breast cancer stem cells with different responses upon TGF-beta pathway activation. Total RNA from four breast cell lines grown as mammospheres treated with recombinant TGF-beta or a TGF-beta receptor I inhibitor was used in the analysis.

2012-02-09 | E-MTAB-516 | biostudies-arrayexpress

TGF-beta on breast cancer cell

Project description:To understand the molecular mechanism of action of TGF-beta as a tumor suppressor in breast cancer. Comparison of gene expression between MCF10ACa1h breast tumor xenograft with or without an intact TGF-beta response. Keywords: genetic modification design

2007-06-01 | GSE5265 | 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