Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Integrative analysis of genomic structural variants in human leukemia

ABSTRACT: Integrative analysis of genomic structural variants in human leukemia

PROVIDER: PRJNA821195 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	SRR18518500.fastq.gz	Fastqsanger.gz
	SRR18518700.fastq.gz	Fastqsanger.gz
	SRR18518700_1.fastq.gz	Fastqsanger.gz
	SRR18518700_2.fastq.gz	Fastqsanger.gz
	SRR18518501.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 173

Similar Datasets

Integrative Analysis of Pathogenic Structural Variants in Leukemia Genomes

Project description:Pathogenic Structural Variants in Leukemia Genomes

| PRJEB50975 | ENA

Integrative analysis of non-coding variants in human leukemia

Project description:Integrative analysis of non-coding variants in human leukemia

| PRJNA566156 | ENA

Expression data from leukemic patients with complex structural variants

Project description:Structural variants can lead to an alteration of gene expression which may be associated with disease worsening. In our study we attempted to describe expression changes associated with the presence of extensive genomic rearrangements in chronic lymphocytic leukemia. We used microarrays for establishing an algorithm for identification of unique expression profiles associated with extensive genomic rearrangements.

2019-05-13 | GSE124329 | GEO

Total RNA-Seq data from leukemic patients with complex structural variants

2019-05-13 | GSE128668 | GEO

Copy number (SNP) analysis from leukemic patients with complex structural variants

2019-05-13 | GSE124330 | GEO

Structural characterization of ribosome variants

Project description:Structural characterization of ribosome variants

| PRJNA414663 | ENA

Integrative analysis of genomic structural variants in human leukemia

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

2023-04-21 | GSE199701 | GEO

Targeted genomic sequencing in large human genes to detect induced structural variants

Project description:Targeted genomic sequencing in large human genes to detect induced structural variants

| PRJNA903513 | ENA

Targeted genomic sequencing in large human genes to detect induced structural variants

Project description:Targeted genomic sequencing in large human genes to detect induced structural variants

| PRJNA903514 | ENA

Structural variants drive context dependent oncogene activation in cancer

Project description:Higher order chromatin structure is important for regulation of genes by distal regulatory sequences. Structural variants that alter 3D genome organization can lead to enhancer-promoter rewiring and human disease, particularly in the context of cancer. However, only a small minority of structural variants are associated with altered gene expression and it remains unclear why certain structural variants lead to changes in distal gene expression and others do not. To address these questions, we used a combination of genomic profiling and genome engineering to identify sites of recurrent changes in 3D genome structure in cancer and determine the effects of specific rearrangements on oncogene activation. By analyzing Hi-C data from 92 cancer cell lines and patient samples, we identified loci affected by recurrent alterations to 3D genome structure, including oncogenes such as MYC, TERT, and CCND1. Using CRISPR/Cas9 genome engineering to generate de novo structural variants, we show that oncogene activity can be predicted using “Activity-by-Contact” models that consider partner region chromatin contacts and enhancer activity. However, Activity-by-Contact models are only predictive of specific subsets of genes in the genome, suggesting that different classes of genes engage in distinct modes of regulation by distal regulatory elements. These results indicate that structural variants that alter 3D genome organization are widespread in cancer genomes and begin to illustrate predictive rules for the consequences of structural variants on oncogene activation.

2022-10-04 | GSE147123 | GEO

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