Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Integrative QTL analysis of gene expression and chromatin accessibility identifies multi-tissue patterns of genetic regulation (RNA-seq)

ABSTRACT: Integrative QTL analysis of gene expression and chromatin accessibility identifies multi-tissue patterns of genetic regulation (RNA-seq)

PROVIDER: PRJNA591381 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Integrative QTL analysis of gene expression and chromatin accessibility identifies multi-tissue patterns of genetic regulation

Project description:Integrative QTL analysis of gene expression and chromatin accessibility identifies multi-tissue patterns of genetic regulation

| PRJNA591379 | ENA

Integrative QTL analysis of gene expression and chromatin accessibility identifies multi-tissue patterns of genetic regulation (ATAC-seq)

Project description:Integrative QTL analysis of gene expression and chromatin accessibility identifies multi-tissue patterns of genetic regulation (ATAC-seq)

| PRJNA591382 | ENA

Integrative QTL analysis of gene expression and chromatin accessibility identifies multi-tissue patterns of genetic regulation (ATAC-seq)

Project description:Gene transcription profiles across tissues are largely defined by the activity of regulatory elements, most of which correspond to regions of accessible chromatin. Regulatory element activity is in turn modulated by genetic variation, resulting in variable transcription rates across individuals. The interplay of these factors, however, is poorly understood. We characterize expression and chromatin state dynamics across three tissues—liver, lung, and kidney—in 47 strains of the Collaborative Cross (CC) mouse population, examining the regulation of these dynamics by expression quantitative trait loci (eQTL) and chromatin QTL (cQTL). QTL whose allelic effects were consistent across tissues were detected for 1,101 genes and 133 chromatin regions. Also detected were eQTL and cQTL whose allelic effects differed across tissues. Leveraging overlapping measurements of gene expression and chromatin accessibility on the same mice from multiple tissues, we used mediation analysis to identify chromatin and gene expression intermediates of eQTL effects. This analysis demonstrates the complexity of transcriptional and chromatin dynamics and their regulation over multiple tissues, as well as the value of the CC and related genetic resource populations for identifying specific regulatory mechanisms within cells and tissues.

2020-01-01 | GSE140871 | GEO

Integrative QTL analysis of gene expression and chromatin accessibility identifies multi-tissue patterns of genetic regulation (RNA-seq)

2020-01-01 | GSE140872 | GEO

Integrative QTL analysis of gene expression and chromatin accessibility identifies multi-tissue patterns of genetic regulation.

Project description: Not available

| S-EPMC7010298 | biostudies-literature

Integrative QTL analysis of gene expression and chromatin accessibility identifies multi-tissue patterns of genetic regulation

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

2020-01-01 | GSE140873 | GEO

Integrative multi-omics analysis in sepsis-associated liver dysfunction

Project description:we conducted integrative multiple levels of omics data including transcriptome, phosphoproteome, proteome and metabolome in different time-course of sepsis-associated liver dysfunction (SALD). This is the first trial to suggest the statistical pathway of integrative multi-omics data in sepsis. Given the increasing number of studies collecting multi-omics data but limited overview of the methodological framework for integrative analyses (Liu, Ding et al. 2013, Petersen, Zeilinger et al. 2014, Shah, Bonder et al. 2015), integrative approach in sepsis with liver dysfunction in this study will provide novel insights into the development of sepsis and ultimately offer new tools for overcoming the present diagnostic limitation. Therefore, a combined multi-omics dataset will give better accessibility of adoption in disease, and insight to identify the promising candidates for therapeutic strategies.

2023-06-21 | PXD025800 | Pride

An integrative multi-dimensional genetic and epigenetic strategy to identify aberrant genes and pathways in cancer

Project description:This SuperSeries is composed of the following subset Series: GSE17768: An integrative multi-dimensional genetic and epigenetic strategy to identify aberrant genes and pathways in cancer: gene expression GSE17769: An integrative multi-dimensional genetic and epigenetic strategy to identify aberrant genes and pathways in cancer: DNA methylation GSE21347: An integrative multi-dimensional genetic and epigenetic strategy to identify aberrant genes and pathways in cancer: allelic status GSE21540: An integrative multi-dimensional genetic and epigenetic strategy to identify aberrant genes and pathways in cancer: CGH Refer to individual Series

2010-12-31 | E-GEOD-21541 | biostudies-arrayexpress

Integrative multi-omics analysis of intestinal organoid differentiation

Project description:Integrative multi-omics analysis of intestinal organoid differentiation

| PRJNA464352 | ENA

Cell-type specific multi-QTL analyses of cultured human primary melanocytes

Project description:Cell-type specific multi-QTL analyses of cultured human primary melanocytes

| PRJNA699262 | ENA