Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

ATAC-seq of Multiple Myeloma

ABSTRACT: ATAC-seq of Multiple Myeloma

PROVIDER: PRJNA705686 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR13815936_1.fastq.gz	Fastqsanger.gz
	SRR13815936_2.fastq.gz	Fastqsanger.gz
	SRR13815937_1.fastq.gz	Fastqsanger.gz
	SRR13815937_2.fastq.gz	Fastqsanger.gz
	SRR13815938_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 52

Similar Datasets

Human Multiple Myeloma ATAC

Project description:Human Multiple Myeloma ATAC. This series contains the ATAC-seq data for Human Multiple Myeloma patients.

| PRJEB28803 | ENA

ATAC-seq and RNA-Seq of Multiple Myeloma

Project description:ATAC-seq and RNA-Seq of Multiple Myeloma

| PRJNA705679 | ENA

ATAC-seq of Multiple Myeloma

Project description:Purpose: Multiple myeloma is a malignancy of plasma cells. Extensive genetic and transcriptional characterization of myeloma has identified subtypes with prognostic and therapeutic implications. In contrast, relatively little is known about the myeloma epigenome. Experimental Design: CD138+CD38+ myeloma cells were isolated from fresh bone marrow aspirate or the same aspirate after freezing for one to six months. Gene expression and chromatin accessibility were compared between fresh and frozen samples by RNA-seq and ATAC-seq. Chromatin accessible regions were used to identify regulatory RNA expression in over 700 samples from newly diagnosed patients in the MMRF CoMMpass trial (NCT01454297). Results: Gene expression and chromatin accessibility of cryopreserved myeloma recapitulated that of freshly isolated samples. ATAC-seq performed on a series of biobanked specimens identified thousands of chromatin accessible regions with hundreds being highly coordinated with gene expression. Over 4,700 of these chromatin accessible regions were transcribed in newly diagnosed myelomas from the CoMMpass trial. Regulatory element activity alone recapitulated myeloma gene expression subtypes, and in particular myeloma subtypes with IGH translocations were defined by transcription of distal regulatory elements. Moreover, enhancer activity predicted oncogene expression implicating gene regulatory mechanisms in aggressive myeloma. Conclusions: These data demonstrate the feasibility of using biobanked specimens for retrospective studies of the myeloma epigenome and illustrate the unique enhancer landscapes of myeloma subtypes that are coupled to gene expression and disease progression.

2021-03-03 | GSE167967 | GEO

KDM6A Regulates Immunogenicity of Multiple Myeloma (ATAC-seq)

Project description:KDM6A Regulates Immunogenicity of Multiple Myeloma (ATAC-seq)

| PRJNA1023292 | ENA

Che-1/AATF sustains cell growth and global transcription in Multiple Myeloma through the maintenance of open chromatin structure. [ATAC-Seq, mouse]

Project description:This series contains the ATAC-seq data for control and Che-1 silencing in the Multiple Myeloma mice model.

2021-06-07 | GSE120964 | GEO

RNA-seq of Multiple Myeloma

Project description:RNA-seq of Multiple Myeloma

| PRJNA705687 | ENA

Multiple myeloma

Project description:Multiple myeloma