Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ChIP-seq analysis of myeloma cell lines

ABSTRACT: ARP1, MM1S, and RPMI8226 myeloma cells lines were analyzed by ChIP-seq using antibodies against BRD4, MED1, IKZF1, ETV4

ORGANISM(S): Homo sapiens

PROVIDER: GSE128024 | GEO | 2019/03/13

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

ETV4-Dependent Transcriptional Plasticity Maintains MYC Expression and Results in IMiD Resistance in Multiple Myeloma [RNA-seq]

Project description:Immunomodulatory Drugs (IMiDs) are a backbone therapy for multiple myeloma (MM). Despite their efficacy, most patients develop resistance and the mechanism(s) are not fully defined. Here, we show that IMiD responses are directed by IMiD-dependent degradation of IKZF1 and IKZF3 that bind to enhancers necessary to sustain the expression of MYC and other myeloma oncogenes. IMiD treatment universally depleted chromatin-bound IKZF1, but eviction of P300 and BRD4 co-activators only occurred in IMiD-sensitive cells. IKZF1-bound enhancers overlapped other transcription factor-binding motifs, including ETV4. ChIP-seq showed that ETV4 bound to the same enhancers as IKZF1, and ETV4 CRISPR/Cas9-mediated ablation resulted in sensitization of IMiD-resistant MM. ETV4 expression is associated with IMiD resistance in cell lines, poor prognosis in patients, and upregulated at relapse. These data indicate that ETV4 alleviates IKZF1 and IKZF3 dependency in MM by maintaining oncogenic enhancer activity and identify transcriptional plasticity as a previously unrecognized mechanism of IMiD resistance.

2023-10-30 | GSE246435 | GEO

ETV4-Dependent Transcriptional Plasticity Maintains MYC Expression and Results in IMiD Resistance in Multiple Myeloma [ChIP-seq]

2023-10-30 | GSE246429 | GEO

ETV4-Dependent Transcriptional Plasticity Maintains MYC Expression and Results in IMiD Resistance in Multiple Myeloma [ATAC-seq]

2023-10-30 | GSE246426 | GEO

Identification of sialyl Lewisa/x-modified surface proteins in Multiple Myeloma cells by LC-MS

Project description:The project aims at identifying surface proteins that are modified by the tetrasaccharide sialyl Lewisa/x and therefore serve as selectin ligands in Multiple Myeloma. To that end, we have performed an immunoprecipitation using the Heca452 antibody (which recognizes sialyl Lewisa/x-related structures) and a matched isotype control on membrane-enriched fractions that have been generated from the sialyl Lewisa/x-enriched and parental Multiple Myeloma cell line MM1S and RPMI8226. Using this approach, we have been able to identify candidate proteins that may function as selectin ligands in myeloma.

2024-01-23 | PXD046178 | Pride

Drug resistance-related changes in gene expression profile in multiple myeloma

Project description:1) We identified the genes whose expression was up- and down-regulated by the adhesion to bone marrow stromal cells in human multiple myeloma cell line RPMI8226. 2) We identified the genes whose expression was up- and down-regulated by the PI3K inhibitor PF-04691502 in human multiple myeloma cell line RPMI8226. We isolated mRNA from the multiple myeloma cell line RPMI8226 under drug-resistant conditions, and subjected them to gene expression profiling using an Agilent GeneChip Array.

2015-03-04 | E-GEOD-66466 | biostudies-arrayexpress

DNA methylation data from cell lines originating from patients with multiple myeloma

Project description:We performed genome-wide DNA methylation profiling of KMS11, MM.1S, and RPMI8226 multiple myeloma cell lines to identify methylation changes distinct to each cell line Three multiple myeloma cell lines (KMS11, MM.1S, and RPMI8226) with two replicates each

2015-06-30 | E-GEOD-68259 | biostudies-arrayexpress

Illumina Infinium whole-genome SNP-CN data from cell lines originating from patients with multiple myeloma

Project description:We performed Illumina Infinium whole-genome SNP-CN profiling of KMS11, MM.1S, and RPMI8226 multiple myeloma cell lines to detect gene copy number variants distinct to each cell line Three multiple myeloma cell lines (KMS11, MM.1S, and RPMI8226)

2015-06-30 | E-GEOD-68258 | biostudies-arrayexpress

Drug resistance-related changes in gene expression profile in multiple myeloma

2015-03-04 | GSE66466 | GEO

The gene expression profiles of hypoxia-resistant (HR) human multiple myeloma cell lines

Project description:In multiple myeloma (MM), abnormal plasma cells interact with bone marrow (BM) stromal cells and vascular cells among others. A part of the BM milieu is considered highly hypoxic, and myeloma cells in situ may be influenced by circumstances other than normoxia in vitro. Hence, we attempted to confirm the role of hypoxic MM-derived exosomes in the BM milieu. We established a novel hypoxia-resistant cell line, RPMI8226-HR derived from RPMI8226 cells, KMS-11-HR derived from KMS-11, U266-HR derived from U266, and IM-9-HR derived from IM-9 cultured for >4 months under hypoxia (1% O2), as a model of MM cells localizing in an extensively hypoxic milieu. We used RPMI8226 cells and RPMI8226-HR cells, as donor cells, and HUVECs as recipient cells. Exosomes derived from RPMI8226 cells (normoxia or hypoxia) and exosomes derived from RPMI8226-HR cells (hypoxia-resistant, HR sub-line) were used for validation of angiogeneic activity, such as tube formation assay. Exosomes derived from the RPMI8226-HR cells significantly increased tube formation of HUVECs than those from RPMI8226 cells.

2018-02-06 | GSE110113 | GEO

Effect of HAPLN1-PTR1 on RPMI8226 multiple myeloma cells

Project description:To investigate the role of HAPLN1 in multiple myeloma, we treated RPMI8226 multiple myeloma cells with recombinant HAPLN1-PTR1. We then performed gene expression profiling analysis using data obtained from RNA-seq.

2022-09-06 | GSE202672 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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