Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

CUT&Tag analysis genome-wide maps of chromatin state in hCD34+ cells with X-RARG fusion genes overexpression.

ABSTRACT: CUT&Tag technology were used for high-throughput profiling of RARG fusion genes or PML-RARA with core promoters of its target genes in hCD34+ cells with RARG fusion genes or PML-RARA overexpression. We first expressed HA-tagged X-RARG fusions or HA-tagged PML-RARA in hCD34+ cells and then performed CUT&Tag with antibody to RARG fusion genes or PML-RARA and analyzed the binding of RARG fusion genes or PML-RARA with core promoters of its target genes. Common peaks for the binding sites of RARG fusions and PML-RARA and unique peaks for specific targets of RARG fusions that are not targets of PML-RARA were identified.

ORGANISM(S): Homo sapiens

PROVIDER: GSE243414 | GEO | 2024/10/15

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

The effect RARG fusion genes or PML-RARA overexpression in human CD34+ cells on the gene expression.

Project description:Currently, AML with RARG rearrangements (RARG AML), including NUP98-RARG, PML-RARG, CPSF6-RARG, NPM1-RARG, and HNRNPC-RARG, has been identified as a novel entity of AML. Overexpression of RARG fusions in human CD34+ cells promoted the expansion of immature myeloid cells, reduced the percentage of mature granulocytes, inhibited the differentiation of myeloid cells, and self-renewal abilities of hCD34+ cells. To understand how RARG fusion proteins regulate their target genes in the hematopoietic system, we first expressed HA-tagged X-RARG fusions or HA-tagged PML-RARA in hCD34+ cells. We then analyzed the differential genes expression in hCD34+ cells with or without RARG fusion genes or PML-RARA overexpression through RNA-seq.

2024-10-15 | GSE243437 | GEO

Identifying RARG fusions or PML-RARA binding genes or analysis the epigenetic changes (H3K27ac, H3K4me1, and H3K4me3) in hCD34+ cells overexpressing CPSF6::RARG and NUP98::RARG.

Project description:To understand how RARG fusion proteins regulate their target genes in the hematopoietic system, we overexpressed fusions or PML-RARA in hCD34+ cells and identified target genes that are regulated by RARG fusions. We found that RARG fusions selectively upregulated BCL2 and ATF3 in HSPCs, driving uncontrolled proliferation and disrupting the differentiation of RARG-AML cells.To investigate the mechanism how RARG fusions mediate activation of their downstream targets such as BCL2 and ATF3, we dected the epigenetic changes (H3K27ac, H3K4me1, and H3K4me3) associated with RARG fusions binding in hCD34+ cells overexpressing CPSF6::RARG and NUP98::RARG.

2024-10-16 | GSE275303 | GEO

Analysis of the chromatin accessibility in CPSF6-RARG or NUP98-RARG overexpressing hCD34+ cells compared to control hCD34+ cells using ATAC-seq.

Project description:We found that RARG fusions selectively upregulated BCL2 and ATF3 in HSPCs, driving uncontrolled proliferation and disrupting the differentiation of RARG-AML cells.To investigate the mechanism how RARG fusions mediate activation of their downstream targets such as BCL2 and ATF3, we defined the chromatin accessibility using ATAC-seq assay in human CD34+ (hCD34+) cells with or without CPSF6::RARG or NUP98::RARG overexpression.

2024-10-16 | GSE275304 | GEO

Identifying RARG fusions or PML-RARA binding genes or analysis the epigenetic changes (H3K27ac, H3K4me1, and H3K4me3) in hCD34+ cells overexpressing CPSF6::RARG and NUP98::RARG.

Project description:Identifying RARG fusions or PML-RARA binding genes or analysis the epigenetic changes (H3K27ac, H3K4me1, and H3K4me3) in hCD34+ cells overexpressing CPSF6::RARG and NUP98::RARG.

| PRJNA1150541 | ENA

Torque Teno Mini Virus as a cause of childhood acute promyelocytic leukemia lacking PML/RARA fusion

Project description:We describe a case of a child affected by a relapsed PML/RARA-negative acute promyelocytic leukemia (APL) rescued by a combination of all-trans retinoic acid (ATRA) and arsenic trioxide (ATO) and subsequent HSCT. We provide evidence of the presence of a chimeric viral transcript generated through genomic integration of a Torque Teno Mini Virus sequence into RARA intron 2, the recurrent breakpoint of all chimeric RARA fusions found in APL. This generates an in-frame TTMV/RARA chimeric fusion that is highly expressed at disease diagnosis and relapse and fully cleared at remission achievement.

2021-12-01 | GSE169521 | GEO

The effect RARG fusion genes or PML-RARA overexpression in human CD34+ cells on the gene expression.

Project description:The effect RARG fusion genes or PML-RARA overexpression in human CD34+ cells on the gene expression.

| PRJNA1018496 | ENA

CUT&Tag analysis genome-wide maps of chromatin state in hCD34+ cells with X-RARG fusion genes overexpression.

Project description:CUT&Tag analysis genome-wide maps of chromatin state in hCD34+ cells with X-RARG fusion genes overexpression.

| PRJNA1018455 | ENA

Multi-omics and machine learning reveal context-specific gene regulatory activities of PML-RARA in Acute Promyelocytic Leukemia [APL PBMCs ATAC-seq]

Project description:The PML-RARA fusion protein is the hallmark driver of Acute Promyelocytic Leukemia (APL) and disrupts retinoic acid signaling, leading to wide-scale gene expression changes and uncontrolled proliferation of myeloid precursor cells. While known to be recruited to binding sites across the genome, its impact on gene regulation and expression is under-explored. Using integrated multi-omics datasets, we characterize the influence of PML-RARA binding on gene expression and regulation in an inducible cell line model and APL patient ex vivo samples. We find that genes whose regulatory elements recruit PML-RARA are not uniformly transcriptionally repressed, as commonly suggested, but also may be upregulated or remain unchanged. We apply a novel computational deep learning strategy to deconvolute the complex, local transcription factor binding site environment at PML-RARA bound positions to reveal distinct signatures that modulate how PML-RARA directs the transcriptional response.

2022-12-14 | GSE215101 | GEO

Multi-omics and machine learning reveal context-specific gene regulatory activities of PML-RARA in Acute Promyelocytic Leukemia [Cut&Tag]

Project description:The PML-RARA fusion protein is the hallmark driver of Acute Promyelocytic Leukemia (APL) and disrupts retinoic acid signaling, leading to wide-scale gene expression changes and uncontrolled proliferation of myeloid precursor cells. While known to be recruited to binding sites across the genome, its impact on gene regulation and expression is under-explored. Using integrated multi-omics datasets, we characterize the influence of PML-RARA binding on gene expression and regulation in an inducible cell line model and APL patient ex vivo samples. We find that genes whose regulatory elements recruit PML-RARA are not uniformly transcriptionally repressed, as commonly suggested, but also may be upregulated or remain unchanged. We develop a novel, computational machine learning application to deconvolute the complex, local transcription factor binding site environment at PML-RARA bound positions to reveal distinct signatures that modulate how PML-RARA directs the transcriptional response.

2022-12-14 | GSE209833 | GEO

Multi-omics and machine learning reveal context-specific gene regulatory activities of PML-RARA in Acute Promyelocytic Leukemia [Cut&Run]

Project description:The PML-RARA fusion protein is the hallmark driver of Acute Promyelocytic Leukemia (APL) and disrupts retinoic acid signaling, leading to wide-scale gene expression changes and uncontrolled proliferation of myeloid precursor cells. While known to be recruited to binding sites across the genome, its impact on gene regulation and expression is under-explored. Using integrated multi-omics datasets, we characterize the influence of PML-RARA binding on gene expression and regulation in an inducible cell line model and APL patient ex vivo samples. We find that genes whose regulatory elements recruit PML-RARA are not uniformly transcriptionally repressed, as commonly suggested, but also may be upregulated or remain unchanged. We develop a novel, computational machine learning application to deconvolute the complex, local transcription factor binding site environment at PML-RARA bound positions to reveal distinct signatures that modulate how PML-RARA directs the transcriptional response.

2022-12-14 | GSE173753 | 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