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Metabolic adaptations underlie epigenetic vulnerabilities in chemoresistant breast cancer [Methylation profiling]

ABSTRACT: Metabolic adaptations underlie epigenetic vulnerabilities in chemoresistant breast cancer [Methylation profiling]

PROVIDER: PRJNA437322 | ENA |

REPOSITORIES: ENA

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Metabolic adaptations underlie epigenetic vulnerabilities in chemoresistant breast cancer

Project description:Metabolic adaptations underlie epigenetic vulnerabilities in chemoresistant breast cancer

| PRJNA453605 | ENA

Metabolic adaptations underlie epigenetic vulnerabilities in chemoresistant breast cancer. [RNA-Seq2]

Project description:Metabolic adaptations underlie epigenetic vulnerabilities in chemoresistant breast cancer. [RNA-Seq2]

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Metabolic adaptations underlie epigenetic vulnerabilities in chemoresistant breast cancer. [ChIP-Seq]

Project description:Metabolic adaptations underlie epigenetic vulnerabilities in chemoresistant breast cancer. [ChIP-Seq]

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Metabolic adaptations underlie epigenetic vulnerabilities in chemoresistant breast cancer. [RNA-Seq1]

Project description:Metabolic adaptations underlie epigenetic vulnerabilities in chemoresistant breast cancer. [RNA-Seq1]

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Metabolic adaptations underlie epigenetic vulnerabilities in chemoresistant breast cancer

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

2020-08-18 | GSE113687 | GEO

Metabolic adaptations underlie epigenetic vulnerabilities in chemoresistant breast cancer [Methylation profiling]

Project description:Purpose: Assess the difference in DNA methylation of taxol-resistant TNBC cells relative to parental cells (MDA-MB-436)

2020-08-18 | GSE111541 | GEO

Metabolic adaptations underlie epigenetic vulnerabilities in chemoresistant breast cancer. [RNA-Seq2]

Project description:Purpose:Assess the difference in gene expression of taxol-resistant TNBC cells relative to parental cells (MDA-MB-436 and HS 578t) Methods: RNA-seq was performed on paclitaxel-treated MDA-MB-436 cells that are resistant to Paclitaxel (R20A, R20B, R20C) and in control-treated (DMSO) parental MDA-MB-436 cells that are sensitive to Paclitaxel (DMSO) Results: We mapped about 20 million sequence reads per sample to the human genome (hg19) and identified identified differentially expressed genes Conclusions: Our study identified genes significantly enriched or repressed in taxol-resistant cells relative to parental cells in both TNBC models (MDA_MB-436 and HS 578T)

2020-08-18 | GSE113685 | GEO

Metabolic adaptations underlie epigenetic vulnerabilities in chemoresistant breast cancer. [ChIP-Seq]

Project description:Purpose:Assess the reprogramming of H3K4me1, H3K4me3, H3K27ac and H3K27me3 in paclitaxel-resistant triple-negative breast cancer cells relative to paclitaxel-sensitive cells Methods: ChIP-seq was performed on paclitaxel-treated MDA-MB-436 cells that are resistant to Paclitaxel (R20A, R20B, R20C) and in control-treated (DMSO) parental MDA-MB-436 cells that are sensitive to Paclitaxel (DMSO) Results: Using we mapped about 20 million sequence reads per sample to the human genome (hg19) and identified significant peaks in each cell lines using MACS.2.0 tool. Conclusions: Our study identified major reprogramming of H3K27me3 in the taxol-resistant TNBC cells relative to parental (TNBC cells), with loss of discrete H3K27me3 peaks in the resistant cells concomittent to acquisition of clusters of H3K27me3.

2020-08-18 | GSE113684 | GEO

Metabolic adaptations underlie epigenetic vulnerabilities in chemoresistant breast cancer. [RNA-Seq1]

Project description:Purpose:Assess the difference in gene expression of taxol-resistant TNBC cells relative to parental cells (MDA-MB-436 and HS 578T) upon treatment with UNC1999 3uM Conclusions: Our study identified genes significantly enriched or repressed in taxol-resistant cells relative to parental cells in both TNBC models (MDA_MB-436 and HS 578T)

2020-08-18 | GSE111920 | GEO

Genomic analyses to identify metabolic vulnerabilities

Project description:Genomic analyses to identify metabolic vulnerabilities on PDX samples

| EGAS00001007244 | EGA