Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Implicating type 2 diabetes effector genes in relevant metabolic cellular models using promoter-focused Capture-C [ATAC-Seq]

ABSTRACT: We used ATAC-seq, RNA-seq, and promoter to create atlases of the regulatory elements to provide context to type 2 diabetes associated variants from publically available genome-wide association studies

ORGANISM(S): Homo sapiens

PROVIDER: GSE262479 | GEO | 2024/07/26

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Implicating type 2 diabetes effector genes in relevant metabolic cellular models using promoter-focused Capture-C [Capture-C]

Project description:We used ATAC-seq, RNA-seq, and promoter to create atlases of the regulatory elements to provide context to type 2 diabetes associated variants from publically available genome-wide association studies

2024-07-26 | GSE262496 | GEO

Implicating type 2 diabetes effector genes in relevant metabolic cellular models using promoter-focused Capture-C [Hi-C]

2024-07-26 | GSE262481 | GEO

Implicating type 2 diabetes effector genes in relevant metabolic cellular models using promoter-focused Capture-C [RNA-Seq]

2024-07-26 | GSE262480 | GEO

Implicating type 2 diabetes effector genes in relevant metabolic cellular models using promoter-focused Capture-C

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

2024-07-26 | GSE262484 | GEO

Implicating effector genes at COVID-19 GWAS loci using promoter-focused Capture-C in disease-relevant immune cell types [Capture-C]

Project description:To investigate the potential role of COVID-19 severity associated GWAS hits affecting the cis-regulatory architecure of human immune cell types. We used high-resolution chromatin conformation capture and accessibility to identify potential effector genes

2022-05-10 | GSE174651 | GEO

Implicating effector genes at COVID-19 GWAS loci using promoter-focused Capture-C in disease-relevant immune cell types

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

2022-05-10 | GSE174658 | GEO

Implicating effector genes at COVID-19 GWAS loci using promoter-focused Capture-C in disease-relevant immune cell types [RNA-seq]

2022-05-10 | GSE174657 | GEO

Implicating effector genes at COVID-19 GWAS loci using promoter-focused Capture-C in disease-relevant immune cell types [ATAC-seq]

Project description:To investigate the potential role of COVID-19 severity associated GWAS signals affecting the cis-regulatory architecure of human immune cell types. We used high-resolution chromatin conformation capture and accessibility to identify potential effector genes

2022-05-10 | GSE174648 | GEO

Chromatin conformation dynamics during CD4+ Tcell activation implicates autoimmune disease associated genes and regulatory elements (RNA-Seq)

Project description:We used ATAC-seq, RNA-seq, and HiC to create atlases of the regulatory elements to provide context to autoimmune disease associated variants from publically available Genome-wide association studies

2024-09-18 | GSE230345 | GEO

Chromatin conformation dynamics during CD4+ Tcell activation implicates autoimmune disease associated genes and regulatory elements (ATAC-Seq)

2024-09-18 | GSE230343 | GEO