Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Baseline Expression of Inflammatory Cytokines and Receptors in the SUM149 Human Breast Cancer Cell Line

ABSTRACT: Immortalized human breast cancer cell line, SUM149, was analyzed via RT-qPCR for transcript expression of selected cytokines and cytokine receptors associated with promotion of tumor vasculature and breast cancer metastasis

ORGANISM(S): Homo sapiens

PROVIDER: GSE80646 | GEO | 2016/05/06

SECONDARY ACCESSION(S): PRJNA319564

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Baseline Expression of Inflammatory Cytokines and Receptors in the Normal Human Breast

Project description:Immortalized human breast cancer cell line, Normal, was analyzed via RT-qPCR for transcript expression of selected cytokines and cytokine receptors associated with promotion of tumor vasculature and breast cancer metastasis

2016-05-06 | GSE80625 | GEO

Baseline Expression of Inflammatory Cytokines and Receptors in the MCF7 Human Breast Cancer Cell Line

Project description:Immortalized human breast cancer cell line, MCF7, was analyzed via RT-qPCR for transcript expression of selected cytokines and cytokine receptors associated with promotion of tumor vasculature and breast cancer metastasis

2016-05-06 | GSE80644 | GEO

Baseline Expression of Inflammatory Cytokines and Receptors in the HCC1954 Human Breast Cancer Cell Line

Project description:Immortalized human breast cancer cell line, HCC1954, was analyzed via RT-qPCR for transcript expression of selected cytokines and cytokine receptors associated with promotion of tumor vasculature and breast cancer metastasis

2016-05-06 | GSE80643 | GEO

Baseline Expression of Inflammatory Cytokines and Receptors in the HCC1806 Human Breast Cancer Cell Line

Project description:Immortalized human breast cancer cell line, HCC1806, was analyzed via RT-qPCR for transcript expression of selected cytokines and cytokine receptors associated with promotion of tumor vasculature and breast cancer metastasis

2016-05-06 | GSE80642 | GEO

Baseline Expression of Inflammatory Cytokines and Receptors in the T47D Human Breast Cancer Cell Line

Project description:Immortalized human breast cancer cell line, T47D, was analyzed via RT-qPCR for transcript expression of selected inflammatory cytokines and cytokine receptors associated with promotion of tumor vasculature and breast cancer metastasis

2016-05-06 | GSE80647 | GEO

Baseline Expression of Inflammatory Cytokines and Receptors in the ZR-75 Human Breast Cancer Cell Line

Project description:Immortalized human breast cancer cell line, ZR-75, was analyzed via RT-qPCR for transcript expression of selected cytokines and cytokine receptors associated with promotion of tumor vasculature and breast cancer metastasis

2016-05-06 | GSE80648 | GEO

Baseline Expression of Inflammatory Cytokines and Receptors in the MDA-MB-231 Human Breast Cancer Cell Line

Project description:Immortalized human breast cancer cell line, MDA-MB-231, was analyzed via RT-qPCR for transcript expression of selected cytokines and cytokine receptors associated with promotion of tumor vasculature and breast cancer metastasis

2016-05-06 | GSE80645 | GEO

Transcriptomic analysis of A3250 inflammatory breast cancer (IBC) cells, SUM149 IBC and MDA-MB-231 non-IBC cells

Project description:Purpose: Transcriptome profiling (RNA-seq) of a novel human Inflammatory Breast Cancer cell line A3250 in comparison to SUM149 and MDA-MB-231 Inflammatory Breast Cancer (IBC) is the most aggressive form of breast cancer with distinct clinical and histopathological features, but understanding of the unique aspects of IBC biology lags far behind that of other breast cancers. We describe a novel triple-negative IBC cell line, A3250, that recapitulates key features of human IBC in a mouse xenograft model.The purpose of this study was to compare differences in gene expression between A3250 IBC, MDA-MB-231 non-IBC and SUM149 IBC that does not present with typical clinical sympotms of IBC in a mouse model, with the goal of identifying unique molecular features for this unique type of breast cancer Results: RNA-Seq analysis identified expression profile characteristic for the novel A3250 IBC cell line, compared to SUM149 IBC and MDA-MB-231 non-IBC.

2021-10-01 | GSE180788 | GEO

Expression data from SUM149 inflammatory breast cancer cells cultured in monolayer or Matrigel

Project description:Inflammatory breast cancer (IBC) is a rare type of breast cancer but accounts for up to 10% of breast cancer-related deaths. Plasticity between epithelial and mesenchymal feature is reported to be crucial in metastasis of IBC. Using Matigel culture, we induced epithelial to mesenchymal transition (EMT) in epithelial-like SUM149 IBC cells and identified overexpressed genes in this EMT process.

2018-04-01 | GSE109396 | GEO

aCGH: Human SUM149-Luc triple-negative Inflammatory Breast Cancer cell line versus its metabolically adaptable variants MA1 and MA2

Project description:CGH array of MA1 and MA2 variant cells as compared to the parental SUM149-Luc breast cancer cell line. The MA1 and MA2 variants were isolated based on the ability of rare cancer cells to survive and grow without adding glutamine in culture medium. To gain insight into the characteristic of metabolically adaptable MA cells that enables them to survive severe metabolic challenge, i.e., prolonged lack of glutamine and other challenges [Singh et al., PLoS ONE 7: e36510, 2012], we analyzed CGH array to compare these cells with the parental SUM149-Luc (luciferase-transfected) cells. We analyzed two independently selected cell populations, one from 0.5 million parental cells (designated MA1) and one from 1 million parental cells (designated MA2). Comparing the MA1 and MA2 variants to the common parental SUM149-Luc cell line. One sample each.

2014-10-03 | E-GEOD-60015 | biostudies-arrayexpress

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