Hi-C NTERA-2
Ontology highlight
ABSTRACT:
PROVIDER: EGAD00010001249 | EGA |
REPOSITORIES: EGA
Similar Datasets
Project description:Hi-C of 17 primary samples obtained from human acute leukemias, namely AML, T-ALL and mixed myeloid/lymphoid leukemias with CpG Island Methylator Phenotype (CIMP). As healthy controls, Hi-C of CD34+ HSPCs from 3 healthy donors were used. Due to patient confidentiality considerations, the raw data files for this dataset have been deposited to the EGA controlled-access archive under the accession numbers EGAS00001007094 (study); EGAD00001011051 (dataset).
2023-08-31 | E-MTAB-13122 | biostudies-arrayexpress
Project description:Genome-wide association studies (GWAS) have transformed our understanding of testicular germ cell tumour (TGCT) susceptibility but much of the heritability remains unexplained. Here we report a new GWAS, a meta-analysis with previous GWAS and a replication series, totalling 7,319 TGCT cases and 23,082 controls. We identify 19 new TGCT risk loci, approximately doubling the number of known TGCT risk loci to 44. By performing in-situ Hi-C in TGCT cells, we establish a network of physical interactions between all 44 TGCT risk SNPs and candidate causal genes. Our findings reveal widespread disruption of developmental transcriptional regulators as a basis of disease susceptibility, consistent with failed primordial germ cell differentiation as an initiating step in TGCT oncogenesis1. Defective microtubule assembly and dysregulation of KIT-MAPK signalling also feature as recurrently disrupted pathways. Our findings support a polygenic model of disease risk and provide insight into the biological basis of TGCT.
| EGAS00001001930 | EGA
Project description:HindIII Hi-C dataset from mouse fetal liver cell samples to assess the performance of interaction calling algorithms.
2016-02-01 | E-MTAB-3891 | biostudies-arrayexpress
Project description:In this project, we use a simple digestion-ligation-only Hi-C (DLO Hi-C) technology, for whole-genome chromosome conformation capture, analysis of genes expression changes and transcriptional regulatory elements involved in BMMSC differentiation. Rely on GWAS data and eQTL analysis, our findings confirmed some previously reported genes that have an effect on OP, such as TIMP-2, MMP-2 and DAAM2, TMEM241 was less reported. Furthermore, our work provide a theoretical basis for the development of OP.
2023-02-08 | GSE160394 | GEO
Project description:We have analyzed publicly available K562 Hi-C data, which enables genome-wide unbiased capturing of chromatin interactions, using a Mixture Poisson Regression Model to define a highly specific set of interacting genomic regions. We integrated multiple ENCODE Consortium resources with the Hi-C data, using DNase-seq data and ChIP-seq data for 46 transcription factors and 8 histone modifications. We classified 12 different sets (clusters) of interacting loci that can be distinguished by their chromatin modifications and which can be categorized into three types of chromatin hubs. The different clusters of loci display very different relationships with transcription factor binding sites. As expected, many of the transcription factors show binding patterns specific to clusters composed of interacting loci that encompass promoters or enhancers. However, cluster 6, which is distinguished by marks of open chromatin but not by marks of active enhancers or promoters, was not bound by most transcription factors but was highly enriched for 3 transcription factors (GATA1, GATA2, and c-Jun) and 3 chromatin modifiers (BRG1, INI1, and SIRT6). To validate the identification of the clusters and to dissect the impact of chromatin organization on gene regulation, we performed RNA-seq analyses before and after knockdown of GATA1 or GATA2. We found that knockdown of the GATA factors greatly alters the expression of genes within cluster 6. Our work, in combination with previous studies linking regulation by GATA factors with c-Jun and BRG1, provide genome-wide evidence that Hi-C data identifies sets of biologically relevant interacting loci. RNA-seq of control, siGATA1 and siGATA2 K562 cells
2012-06-30 | E-GEOD-32213 | biostudies-arrayexpress
Project description:In this project, we use a simple digestion-ligation-only Hi-C (DLO Hi-C) technology, for whole-genome chromosome conformation capture, analysis of genes expression changes and transcriptional regulatory elements involved in BMMSC differentiation. Rely on GWAS data and eQTL analysis, our findings confirmed some previously reported genes that have an effect on OP, such as TIMP-2, MMP-2 and DAAM2, TMEM241 was less reported. Furthermore, our work provide a theoretical basis for the development of OP.
2023-02-08 | GSE160392 | GEO
Project description:Genome-wide association studies (GWAS) have identified 100s of loci associated with coronary artery disease (CAD) and blood pressure (BP)/hypertension. Many of these loci are not associated with traditional risk factors, nor include obvious candidate genes, complicating their functional characterization. We hypothesized that many GWAS loci associated with vascular diseases modulate endothelial functions. Endothelial cells play critical roles in regulating vascular homeostasis (e.g. selective barrier, inflammation, hemostasis, vascular tone) and endothelial dysfunction is a hallmark of atherosclerosis and hypertension. We generated an integrated map of gene expression (RNA-sequencing), open chromatin regions (ATAC-sequencing), and 3D interactions (Hi-C) in resting and TNFα-treated human endothelial cells. We showed that genetic variants associated with CAD and BP are enriched in open chromatin regions identified in endothelial cells. We used physical loops identified by Hi-C to link open chromatin peaks that include CAD or BP SNPs with the promoter of genes expressed in endothelial cells. This analysis highlighted 4,548 combinations of regulatory elements-promoters, including 108 pairs that involve a differentially open chromatin site and a differentially expressed gene following TNFα treatment. At a CAD locus, we validated one of these pairs by engineering a deletion of the TNFα-sensitive regulatory element using CRISPR/Cas9 and measuring an effect on the expression of the novel CAD candidate gene AIDA. Our data support an important role played by genetic variants acting in the vascular endothelium to modulate inter-individual risk in CAD or hypertension
2019-06-25 | GSE126199 | GEO
Project description:Mammalian interphase chromosomes interact with the nuclear lamina (NL) through hundreds of large Lamina Associated Domains (LADs). We report a method to map NL contacts genome-wide in single human cells. Analysis of ~400 maps reveals a core architecture of gene-poor LADs that contact the NL with high cell-to-cell consistency, interspersed by LADs with more variable NL interactions. The variable contacts are more sensitive to a change in genome ploidy than the consistent contacts. Single-cell maps indicate that NL contacts involve multivalent interactions over hundreds of kilobases. Moreover, we observe extensive intra-chromosomal coordination of NL contacts, even over tens of megabases. Such coordinated loci exhibit preferential interactions as detected by Hi-C. Finally, single-cell gene expression and chromatin accessibility analysis shows that loci with consistent NL contacts are expressed at lower levels and are more consistently inaccessible than loci with lower contact frequencies. These results highlight fundamental principles of single cell chromatin organization. Hi-C Data
2015-09-24 | E-GEOD-69841 | biostudies-arrayexpress
Project description:Large-scale chromosome structure and spatial nuclear arrangement have been linked to control of gene expression and DNA replication and repair. Genomic techniques based on chromosome conformation capture assess contacts for millions of loci simultaneously, but do so by averaging chromosome conformations from millions of nuclei. Here we introduce single cell Hi-C, combined with genome-wide statistical analysis and structural modeling of single copy X chromosomes, to show that individual chromosomes maintain domain organisation at the megabase scale, but show variable cell-to-cell chromosome territory structures at larger scales. Despite this structural stochasticity, localisation of active gene domains to boundaries of territories is a hallmark of chromosomal conformation, affecting most domains in most nuclei. Single cell Hi-C data bridge current gaps between genomics and microscopy studies of chromosomes, demonstrating how modular organisation underlies dynamic chromosome structure, and how this structure is probabilistically linked with genome activity patterns. Mouse Th1 single-cell Hi-C maps were produced and paired-end sequenced. 10 single-cell samples and a multi-sample pool together with a population Hi-C sample are included.
2013-09-26 | E-GEOD-48262 | biostudies-arrayexpress
Project description:In this project, we use a simple digestion-ligation-only Hi-C (DLO Hi-C) technology, for whole-genome chromosome conformation capture, analysis of genes expression changes and transcriptional regulatory elements involved in BMMSC differentiation. Rely on GWAS data and eQTL analysis, our findings confirmed some previously reported genes that have an effect on OP, such as TIMP-2, MMP-2 and DAAM2, TMEM241 was less reported. Furthermore, our work provide a theoretical basis for the development of OP.
2023-02-08 | GSE160389 | GEO