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Bromodomain and extraterminal proteins foster the core transcriptional regulatory programs and confer vulnerability in liposarcoma (RNA-Seq)

ABSTRACT: Bromodomain and extraterminal proteins foster the core transcriptional regulatory programs and confer vulnerability in liposarcoma (RNA-Seq)

PROVIDER: PRJNA436355 | ENA |

REPOSITORIES: ENA

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Bromodomain and extraterminal proteins foster the core transcriptional regulatory programs and confer vulnerability in liposarcoma

Project description:Bromodomain and extraterminal proteins foster the core transcriptional regulatory programs and confer vulnerability in liposarcoma

| PRJNA436353 | ENA

Bromodomain and extraterminal proteins foster the core transcriptional regulatory programs and confer vulnerability in liposarcoma (ChIP-Seq)

Project description:Purpose: Identification of core transcriptional regulatory programs and bromodomain and extraterminal (BET) protein dependency in liposarcoma (LPS) Methods: ChIP-seq and RNA-seq were performed on LPS cells. Antibodies against H3K27ac, H3K4me1, H3K4me3, RNA-Pol2, BRD2, BRD3, BRD4, FOSL2, pan-RUNX, and DDIT3 (FUS-DDIT3) were used for ChIP-seq assays. The transcriptome responses of LPS141 and MLS402 cells to OTX015 and ARV-825 were compared. Result: We generated genome-wide chromatin-state maps of LPS cells. By charting the super-enhancer structures, we identify a bromodomain and extraterminal (BET) protein-cooperated FUS-DDIT3 function in myxoid LPS and a BET protein-dependent core transcriptional regulatory circuitry consisting of FOSL2, MYC, and RUNX1 in de-differentiated LPS. This study also provides a framework for discovering and targeting of core oncogenic transcriptional programs.

2019-04-01 | GSE111253 | GEO

Bromodomain and extraterminal proteins foster the core transcriptional regulatory programs and confer vulnerability in liposarcoma (RNA-Seq)

2019-04-01 | GSE111252 | GEO

Bromodomain and extraterminal proteins foster the core transcriptional regulatory programs and confer vulnerability in liposarcoma (ChIP-Seq)

Project description:Bromodomain and extraterminal proteins foster the core transcriptional regulatory programs and confer vulnerability in liposarcoma (ChIP-Seq)

| PRJNA436354 | ENA

Bromodomain and extraterminal proteins foster the core transcriptional regulatory programs and confer vulnerability in liposarcoma.

Project description: Not available

| S-EPMC6430783 | biostudies-literature

Bromodomain and extraterminal proteins foster the core transcriptional regulatory programs and confer vulnerability in liposarcoma

Project description:This SuperSeries is composed of the SubSeries listed below.

2019-04-01 | GSE111254 | GEO

Targeting bromodomain and extraterminal proteins in breast cancer.

Project description: Not available

| S-EPMC5828951 | biostudies-literature

Whole genome microarray analysis in myxoid liposarcoma

Project description:In order to identify new key molecules in the pathogenesis of myxoid liposarcoma, we performed comparative gene expression profiling in myxoid liposarcoma and fat tissue samples.

2014-10-28 | GSE62747 | GEO

Whole-transcript expression data for liposarcoma

Project description:Liposarcoma is the most common soft tissue sarcoma, accounting for about 20% of cases. Liposarcoma is classified into 5 histologic subtypes that fall into 3 biological groups characterized by specific genetic alterations. To identify genes that contribute to liposarcomagenesis and to better predict outcome for patients with the disease, we undertook expression profiling of liposarcoma. U133A expression profiling was performed on 140 primary liposarcoma samples, which were randomly split into training set (n=95) and test set (n=45). A multi-gene predictor for distant recurrence-free survival (DRFS) was developed using the supervised principal component method. Expression levels of the 588 genes in the predictor were used to calculate a risk score for each patient. In validation of the predictor in the test set, patients with low risk score had a 3-year DRFS of 83% vs. 45% for high risk score patients (P=0.001). The hazard ratio for high vs. low score, adjusted for histologic subtype, was 4.42 (95% confidence interval 1.26-15.55; P=0.021). The concordance probability for risk score was 0.732. Genes related to adipogenesis, DNA replication, mitosis, and spindle assembly checkpoint control were all highly represented in the multi-gene predictor. Three genes from the predictor, TOP2A, PTK7, and CHEK1, were found to be overexpressed in liposarcoma samples of all five subtypes and in liposarcoma cell lines. Knockdown of these genes in liposarcoma cell lines reduced proliferation and invasiveness and increased apoptosis. Thus, genes identified from this predictor appear to have roles in liposarcomagenesis and have promise as therapeutic targets. In addition, the multi-gene predictor will improve risk stratification for individual patients with liposarcoma.

2011-09-02 | GSE30929 | GEO

Whole-transcript expression data for liposarcoma

2011-09-01 | E-GEOD-30929 | biostudies-arrayexpress

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