Browse
Submit Data
Databases
API
Help

Dataset Information

314 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Insulin stimulated MCF7 breast cancer cells

ABSTRACT: Proteome profile of MCF7 breast cancer cells stimulated with insulin and analyzed by nano-LC-ESI-MS/MS.

INSTRUMENT(S): LTQ

ORGANISM(S): Homo Sapiens (human)

TISSUE(S): Epithelial Cell, Cell Culture

DISEASE(S): Breast Cancer

SUBMITTER: Iulia M. Lazar

LAB HEAD: Iulia M. Lazar

PROVIDER: PXD004051 | Pride | 2016-11-30

REPOSITORIES: Pride

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	MCF7_1.RAW	Raw
	MCF7_1.msf	Msf
	MCF7_1.msf-pride.pride.mgf.gz	Mgf
	MCF7_1.msf-pride.pride.mztab.gz	Mztab
	MCF7_1.msf-pride.xml.gz	Xml

Items per page:

1 - 5 of 98

Publications

Insulin stimulated MCF7 breast cancer cells: Proteome dataset.

Sarvaiya Hetal A HA Lazar Iulia M IM

Data in brief 20160922

The proteome data provided in this article were acquired from MCF7 breast cancer cells stimulated with insulin, and were generated by using a 2D-SCX (strong cation exchange)/RPLC (reversed phase liquid chromatography) separation protocol followed by tandem mass spectrometry (MS) detection. To facilitate data re-processing by more advanced search engines and the extraction of additional information from already existing files, both raw and processed data are provided. The sample preparation, data ...[more]

PMID: 27761513

Similar Datasets

Effect of HIC1 and miR-212/132 expression on MCF7 cells

Project description:To identify the target of miR-212, miR-132 and HIC1, we have employed whole genome microarray expression profiling on the human breast cancer MCF7 cells. To generate miR-212/132 or HIC1 inducible MCF7 cells, doxycycline-dependent miR-212/132 or HIC1 gene expression system was used. Either Tet-ON miR-212/132 MCF7 or Tet-ON HIC1 MCF7 were treated with 1μg/ml of Doxycycline for 36 hours with EMEM containing 0.01 mg/ml bovine insulin and 10% FCS. Two independent experiments were performed.

2014-07-29 | E-GEOD-37945 | biostudies-arrayexpress

Proteomic breast cancer data set for exploring somatic mutations

Project description:MCF7, SKBR3 (breast cancer) and MCF10 (non-tumorigenic) cell extracts were explored by LC-MS/MS for the identification of protein-level mutations.

2019-07-25 | PXD014458 | Pride

Expression data from human carcinoma (MCF7) derived cells that have been exposed to insulin analogues

Project description:Insulin analogues are designed to improve the pharmacokinetic parameters compared to regular human insulin. This provides a sustained control of blood glucose levels in diabetic patients. All novel insulin analogues are tested for their mitogenic side effects, however these assays do not take into account the molecular mode-of-action of different insulin analogues. Insulin analogues can bind the insulin receptor (INSR) and the insulin-like growth factor-1 receptor (IGF1R) with different affinities and consequently will activate different downstream signaling pathways. Here we used a panel of MCF7 human breast cancer cell lines that selectively express either one of the isoforms of the INSR (IRA or IRB) or the IGF1R. We sought to study the role of the different receptors (IRA, IRB and IGF1R) in the mitogenic signaling of insulin-like molecules (including insulin, glargine, X10 (or AspB10) and IGF1). MCF7 IRA, MCF7 IRB or MCF7 IGF1R cells (as described in Arch Toxicol. 2014 Apr;88(4):953-66. doi: 10.1007/s00204-014-1201-2. Epub 2014 Jan 25.) were cultured in RPMI supplemented with 5% (v/v) CDFBS (Hyclone) and used for experiments. Cells have been exposed for 1 or 6 hours to 10 nM of the indicated insulin-like molecule. As a control sample a vehicle stimulation was performed that contained everything except the active compound.

2015-01-29 | E-GEOD-65398 | biostudies-arrayexpress

Phosphoproteomics of EGF stimulated MCF7 cells

Project description:Phosphoproteomic analysis of EGF stimulated MCF7 cells. This dataset is the basis for the development of modeling of signaling networks. A fundamental challenge in biology is to delineate the signaling pathways that govern cellular responses to genetic and environmental cues. Phosphoproteomics is an emerging technology that provides key data on activity levels of proteins under conditions of interest. However, the interpretation of these data is hampered by the lack of methods that can translate site-specific information into global maps of active proteins and signaling networks. To meet this challenge, we propose PHOTON, a method for integrating phosphorylation data with protein-protein interaction networks to identify active proteins and pathways and pinpoint functional phosphosites. We demonstrate the utility of PHOTON by applying it to interpret existing and novel phosphoproteomic datasets related to EGF and insulin responses. PHOTON substantially outperforms the widely-used cutoff approach, providing highly reproducible predictions that are more in line with current biological knowledge

2016-12-06 | PXD005032 | Pride

Transcriptional profile of human breast cancer MCF7 cells and clones thereof expressing human ERβ1 or ERβ2 upon treatment with antiestrogens and retinoids.

Project description:The aim of the experiment was to gain insight into the role of estrogen receptor beta (ERβ) isoforms in the response of breast cancer MCF7 cells to antiestrogens and retinoids. To this end, clones of MCF7 cells constitutively expressing human ERβ1 (MCF7-ERβ1) or ERβ2 (MCF7-ERβ2) were established and used for the determination of the global transcriptional changes induced upon treatment with hydroxytamoxifen (OHT) and all-trans retinoic acid (ATRA). Gene signatures associated with each clone will shed light to the mechanism underlying the ERβ1- and ERβ2-mediated response of MCF7 cells to antiestrogens and retinoids.

2022-12-13 | E-MTAB-12549 | biostudies-arrayexpress

Gene expression profile in MCF7 breast cancer cells after 78 functionallly important molecules were knocked down using siRNA.

Project description:Affymetrix microarray data was generated from MCF7 breast cancer cells treated in vitro with siRNAs against 78 transcription factors and signalling molecules. Gene expresion of 78 functionally important molecules were knocked down in MCF7 breast cancer cells using siRNA. Then the gene expression profiles of these MCF7 cells, along with untreated cells and non-targetting control (SICONTROL) treated cells were analysed using microarrays.

2012-03-15 | E-GEOD-31912 | biostudies-arrayexpress

ER-RIME in wt-MCF7 and MCF7-LTED

Project description:Wild type (wt) MCF7 cells, modelling breast cancer at primary diagnosis, were cultured in phenol red-free RPMI supplemented with 10% FBS and 1nM estradiol (E2). Long-term oestrogen deprived (LTED) cell lines, which model resistance to endocrine therapy, were cultured in phenol red-free RPMI in the absence of exogenous E2 and supplemented with 10% dextran charcoal-stripped bovine serum (DCC). Samples were harvested at baseline and at the point of resistance (LTED). In order to do comparative analysis in the ER-interactome of wt-MCF7 and MCF7-LTED cells, ER-RIME (rapid immunoprecipitation mass spectrometry of endogenous proteins) was conducted in these cells.

2020-07-13 | PXD004648 | Pride

Genome-wide maps of Tamoxifen resistance MCF7 cell line

Project description:We report the ER alpha regulatory network of Tamoxifen resistance MCF7 cell line using the Chromatin immunoprecipitated high-throughput sequencing technology (ChIP-seq). By Integrating the gene expression data (previously reported) with the ChIP-seq data, we generated ER alpha regulatory network and pathways. For ER alpha regulatory network, hub TFs with enriched motifs were identified from ER alpha peak together with PolII peaks. We then scan the position weight matrix (PWM) of ER alpha peak region of certain gene to find out the regulatory relationship between hub TF and normal TF. For regulatory pathway, genes were grouped base on their expression value at 4 different time point. Then the hub TF that plays important role in each time point of each group was identified. This study provides a framework for the application of ChIP-seq and gene expression data for the construction of ER alpha regulatory network. 4 different ChIP-seq dataset in Tamoxifen resistance MCF7 cell line

2010-12-20 | E-GEOD-26083 | biostudies-arrayexpress

Insulin stimulated MCF7 breast cancer cells: Proteome dataset.

Project description:The proteome data provided in this article were acquired from MCF7 breast cancer cells stimulated with insulin, and were generated by using a 2D-SCX (strong cation exchange)/RPLC (reversed phase liquid chromatography) separation protocol followed by tandem mass spectrometry (MS) detection. To facilitate data re-processing by more advanced search engines and the extraction of additional information from already existing files, both raw and processed data are provided. The sample preparation, data acquisition and processing protocols are described in detail. The raw data relate to work published in "Proteome profile of the MCF7 cancer cell line: a mass spectrometric evaluation" (Sarvaiya et al., 2006) [1] and are made available through the PRIDE (PRoteomics IDEntifications)/ProteomeXchange public repository with identifier PRIDE: PXD004051 ("2016 update of the PRIDE database and tools" (Vizcaino et al., 2016) [2]).

| S-EPMC5064990 | biostudies-literature

Quantitative proteomics on wt-MCF7 versus their LTED derivatives using dimethyl labelling

Project description:Wild type (wt) MCF7 cells, modelling breast cancer at primary diagnosis, were cultured in phenol red-free RPMI supplemented with 10% FBS and 1nM estradiol (E2). Long-term oestrogen deprived (LTED) cell lines, which model resistance to endocrine therapy, were cultured in phenol red-free RPMI in the absence of exogenous E2 and supplemented with 10% dextran charcoal-stripped bovine serum (DCC). Samples were harvested at baseline and at the point of resistance (LTED). To reveal differential protein abundances between wt-MCF7 and MCF7 LTED, the peptides were labelled with chemical labelling and underwent fractionation using OFFGEL electrophoresis.

2016-06-01 | PXD004085 | Pride

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