Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Chromatin conformation and histone modification profiling across human kidney anatomic regions [Hi-C]

ABSTRACT: Here, we leveraged our recently described high-yield nuclei extraction method and performed Hi-C and Cleavage Under Targets and Release Using Nuclease (CUT&RUN) sequencing of histone modifications (H3K4me3 and H3K27me3) in parallel on the kidney cortex, medulla and papilla samples dissected from the same donor. This site describes the Hi-C data.

ORGANISM(S): Homo sapiens

PROVIDER: GSE253632 | GEO | 2024/06/20

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Chromatin conformation and histone modification profiling across human kidney anatomic regions [CUT&RUN]

Project description:Here, we leveraged our recently described high-yield nuclei extraction method and performed Hi-C and Cleavage Under Targets and Release Using Nuclease (CUT&RUN) sequencing of histone modifications (H3K4me3 and H3K27me3) in parallel on the kidney cortex, medulla and papilla samples dissected from the same donor. This site describes the CUT&RUN data.

2024-06-20 | GSE253630 | GEO

Chromatin conformation maps in human kidney cortex and medulla

Project description:We report chromatin conformation (Hi-C) maps from macro-dissected human kidney cortex and medulla from 1 individual

2023-11-22 | GSE212909 | GEO

Chromatin conformation maps in human kidney cortex and medulla from a diabetic donor

Project description:We report chromatin conformation (Hi-C) maps from macro-dissected human kidney cortex and medulla from 1 individual

2023-11-22 | GSE242141 | GEO

In situ Hi-C study of chromatin conformation during early Drosophila development

Project description:In this experiment we examined higher order chromatin structure during early Drosophila melanogaster development. We performed in situ Hi-C for hand-sorted non-mitotic embryos at nuclear cycle number 12, 13 and 14, and for embryos at 3-4 hours post fertilisation. During this time in development, the zygotic genome is activated and zygotic transcription is taking place for the first time. To assess the impact of transcription on chromatin structure we injected the transcription inhibitors alpha-amanitin or triptolide before zygotic genome activation and performed Hi-C and ChIP-seq for RNA Pol II. Furthermore, we used Hi-C to study genome architecture in embryos lacking the transcription factor Zelda.

2017-04-06 | E-MTAB-4918 | biostudies-arrayexpress

Gene expression profile difference among renal location in a stone former

Project description:Comparison between renal papilla tissue with and without the presence of calcified Randall’s plaques, and between the papilla, medulla, and cortex regions from within a single recurrent stone forming kidney demonstrated that patterns of gene expression between the papilla, medulla, and cortex that distinguished these three regions from one another. Disease and function analysis of these gene sets demonstrated up-regulation of genes related to urinary/renal disorders, granulocyte response, vascular smooth muscle cell proliferation, dehydration, and renal calcification and down-regulation of genes related to carboxylic acid/ lipid/ fatty acid transport and urine osmolality.

2018-07-11 | GSE116860 | GEO

Chromatin conformation and histone modification profiling across human kidney anatomic regions

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

2024-06-20 | GSE253634 | GEO

Hi-C of Drosophila embryos to investigate chromatin conformation during dorsal-ventral patterning

Project description:Hi-C was carried out for control embryos and embryos produced from gd7, Tollrm9/rm10, and Toll10B mutant mothers. The embryos from mutant mothers produce only a single type along the dorsal-ventral axis. We used these embryos to compare chromatin conformation across tissues.

2021-01-08 | E-MTAB-9306 | biostudies-arrayexpress

High-resolution mapping of the spatial organization of Caulobacter crescentus chromosome by chromosome conformation capture in conjunction with next-generation sequencing (Hi-C)

Project description:Chromosomes must be highly compacted and organized within cells, but how this is achieved in vivo remains poorly understood. We report the first use of Hi-C to map the structure of bacterial chromosomes at a high, unprecedented resolution. Analysis of Hi-C data and polymer modeling indicates that the Caulobacter crescentus chromosome consists of multiple, largely independent spatial domains likely comprised of supercoiled plectonemes arrayed into a bottlebrush-like fiber. These domains are stable throughout the cell cycle and re-established concomitantly with DNA replication. We provide strong evidence that domain boundaries are established by highly-expressed genes and the formation of plectoneme-free regions. Additionally, we use Hi-C to demonstrate that supercoiling, the histone-like protein HU, and SMC act at different length-scales and in complementary ways to organize and structure chromosomes within cells. Hi-C experiments were performed on untreated wild type swarmer cells and drug-treated swarmer cells (Novobiocin or Rifampicin) of Caulobacter crescentus CB15N. Hi-C were also performed on swarmer cells of smc knock-out and hup1hup2 knock-out mutants of Caulobacter crescentus. Time-course Hi-C were performed on a synchronous population of Caulobacter crescentus at 5, 10, 30, 45, 60 and 75 minutes after synchronization. The progression of DNA replication during the cell cycle was followed by total genomic DNA sequencing.

2013-10-30 | E-GEOD-45966 | biostudies-arrayexpress

Systematic evaluation of chromosome conformation capture assays [Hi-C]

Project description:Chromosome conformation capture (3C)-based assays are used to map chromatin interactions genome-wide. Quantitative analyses of chromatin interaction maps can lead to insights into the spatial organization of chromosomes and the mechanisms by which they fold. A number of protocols such as in situ Hi-C and Micro-C are now widely used and these differ in key experimental parameters including cross-linking chemistry and chromatin fragmentation strategy. To understand how the choice of experimental protocol determines the ability to detect and quantify aspects of chromosome folding we have performed a systematic evaluation of experimental parameters of 3C-based protocols. We find that different protocols capture different 3D genome features with different efficiencies. First, the use of crosslinkers such as DSG in addition to formaldehyde improves signal-to-noise allowing detection of thousands of additional loops and strengthening compartment signal. Second, fragmenting chromatin to the level of nucleosomes using MNase allows detection of more loops. On the other hand, protocols that generate larger multi-kb fragments produce stronger compartmentalization signals. We confirmed our results in multiple cell states such as pluripotent and differentiated cells as well as cell cycle stages; Mitosis and G1. Based on these insights we developed Hi-C 3.0, a single protocol that can be used to both efficiently detect chromatin loops and to quantify compartmentalization. Finally, this study produced ultra-deeply sequenced reference interaction maps using in situ Hi-C, Micro-C and Hi-C 3.0 for commonly cell lines in the 4D Nucleome Project.

2021-03-08 | GSE165894 | GEO

HI-C 2.0: AN OPTIMIZED HI-C PROCEDURE FOR HIGH-RESOLUTION GENOME-WIDE MAPPING OF CHROMOSOME CONFORMATION

Project description:Chromosome conformation capture-based methods such as Hi-C have become mainstream techniques for the study of the 3D organization of genomes. These methods convert chromatin interactions reflecting topological chromatin structures into digital information (counts of pair-wise interactions). Here, we describe an updated protocol for Hi-C (Hi-C 2.0) that integrates recent improvements into a single protocol for efficient and high-resolution capture of chromatin interactions. This protocol combines chromatin digestion and frequently cutting enzymes to obtain kilobase (Kb) resolution. It also includes steps to reduce random ligation and the generation of uninformative molecules, such as unligated ends, to improve the amount of valid intra-chromosomal read pairs. This protocol allows for obtaining information on conformational structures such as compartment and topologically associating domains, as well as high-resolution conformational features such as DNA loops.

2018-04-24 | GSE98161 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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