Exploiting native forces to capture chromosome conformation in mammalian cell nuclei
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB14307 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR1442980.fastq.gz | Fastqsanger.gz | |||
| ERR1442990.fastq.gz | Fastqsanger.gz | |||
| ERR1442981.fastq.gz | Fastqsanger.gz | |||
| ERR1442991.fastq.gz | Fastqsanger.gz | |||
| ERR1442982.fastq.gz | Fastqsanger.gz |
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Project description:Here, we developed a novel chromosome conformation capture (3C) method for capturing the 3D spatial contacts of endogenous genomic loci without a need for crosslinking. This method, i3C, was applied to multiple loci in two different human primary (ENCODE) cell lines, HUVEC and IMR90, and in the absence or presence of a proinflammatory stimulus (TNFalpha). Coupled to high throughput sequencing on an Illumina HiSeq200 platform, i3C generated aprrox. 8 million single-end reads per experiment.
2016-12-10 | E-MTAB-4719 | biostudies-arrayexpress
Project description:Mammalian interphase chromosomes fold into a multitude of loops to fit the confines of cell nuclei, and looping is tightly linked to regulated function. Chromosome conformation capture (3C) technology has significantly advanced our understanding of this structure-to-function relationship. However, all 3C-based methods rely on chemical cross-linking to stabilize spatial interactions. This step remains a "black box" as regards the biases it may introduce, and some discrepancies between microscopy and 3C studies have now been reported. To address these concerns, we developed "i3C", a novel approach for capturing spatial interactions without a need for cross-linking. We apply i3C to intact nuclei of living cells and exploit native forces that stabilize chromatin folding. Using different cell types and loci, computational modeling, and a methylation-based orthogonal validation method, "TALE-iD", we show that native interactions resemble cross-linked ones, but display improved signal-to-noise ratios and are more focal on regulatory elements and CTCF sites, while strictly abiding to topologically associating domain restrictions.
| S-EPMC5199122 | biostudies-literature
Project description:Background: The packaging of long chromatin fibres in the nucleus poses a major challenge, as it must fulfil both physical and functional requirements. Until recently, insight into the chromosomal architecture of plants was mainly provided by cytogenetic studies. Complementary to these analyses, chromosome conformation technologies promise to refine and improve our view on chromosomal architecture and to provide a more generalised description of nuclear organization. Results: Employing circular chromosome conformation capture (4C), this study describes chromosomal architecture in Arabidopsis nuclei from a genome-wide perspective. Surprisingly, the linear organisation of chromosomes is reflected in the genome-wide interactome. In addition, we studied the interplay of the interactome and epigenetic marks and report that the heterochromatic knob on the short arm of chromosome 4 (hk4s) maintained a pericentromere-like interaction profile and interactome despite its euchromatic surrounding. Conclusion: Despite the extreme condensation that is necessary to pack the chromosomes into the nucleus, the Arabidopsis genome appears to be packed in a predictive manner, according to the following criteria: (i) heterochromatin and euchromatin represent two distinct interactomes, (ii) interactions between chromosomes correlates with the linear position on the chromosome arm, and (iii) distal chromosome regions have a higher potential to interact with other chromosomes. This study includes circular chromosome conformation capture (4C) sequencing information of 13 samples, present in two batches, each present in duplicates (A and B). The individual 4C sequencing information can be retrieved by the 4C primer sequence, given in the 4C primer information file.
2013-11-01 | E-GEOD-50181 | biostudies-arrayexpress
Project description:The representation, integration, and interpretation of omic data is a complex task, in particular considering the huge amount of information that is daily produced in molecular biology laboratories all around the world. The reason is that sequencing data regarding expression profiles, methylation patterns, and chromatin domains is difficult to harmonize in a systems biology view, since genome browsers only allow coordinate-based representations, discarding functional clusters created by the spatial conformation of the DNA in the nucleus. In this context, recent progresses in high throughput molecular biology techniques and bioinformatics have provided insights into chromatin interactions on a larger scale and offer a formidable support for the interpretation of multi-omic data. In particular, a novel sequencing technique called Chromosome Conformation Capture allows the analysis of the chromosome organization in the cell's natural state. While performed genome wide, this technique is usually called Hi-C. Inspired by service applications such as Google Maps, we developed NuChart, an R package that integrates Hi-C data to describe the chromosomal neighborhood starting from the information about gene positions, with the possibility of mapping on the achieved graphs genomic features such as methylation patterns and histone modifications, along with expression profiles. In this paper we show the importance of the NuChart application for the integration of multi-omic data in a systems biology fashion, with particular interest in cytogenetic applications of these techniques. Moreover, we demonstrate how the integration of multi-omic data can provide useful information in understanding why genes are in certain specific positions inside the nucleus and how epigenetic patterns correlate with their expression.
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Project description:Multiplexed Chromatin Conformation Capture in Mouse Erythroid cells , from hundreds of targeted loci, using agilent oligo capture technology and high throughput sequencing. Two erythroid Ter119+ cell replicates and a mouse ES cell control
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Project description:Multiplexed Chromatin Conformation Capture in Mouse Erythroid cells , from hundreds of targeted loci, using agilent oligo capture technology and high throughput sequencing.
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Project description:Background: Identification of locus-locus contacts at the chromatin level provides a valuable foundation for understanding of nuclear architecture and function and a valuable tool for inferring long-range linkage relationships. As one approach to this, chromatin conformation capture-based techniques allow creation of genome spatial organization maps. While such approaches have been available for some time, methodological advances will be of considerable use in minimizing both time and input material required for successful application. Results: Here we report a modified tethered conformation capture protocol that utilizes a series of rapid and efficient molecular manipulations. We applied the method to Caenorhabditis elegans, obtaining chromatin interaction maps that provide a sequence-anchored delineation of salient aspects of Caenorhabditis elegans chromosome structure, demonstrating a high level of consistency in overall chromosome organization between biological samples collected under different conditions. In addition to the application of the method to defining nuclear architecture, we found the resulting chromatin interaction maps to be of sufficient resolution and sensitivity to enable detection of large-scale structural variants such as inversions or translocations. Conclusion: Our streamlined protocol provides an accelerated, robust, and broadly applicable means of generating chromatin spatial organization maps and detecting genome rearrangements without a need for cellular or chromatin fractionation. Application of modified version of TCC protocl using different C. elegans strains (N2 and glp-1) in L1, and adult life stages.
2016-01-20 | E-GEOD-76930 | biostudies-arrayexpress
Project description:Background: The packaging of long chromatin fibres in the nucleus poses a major challenge, as it must fulfil both physical and functional requirements. Until recently, insight into the chromosomal architecture of plants was mainly provided by cytogenetic studies. Complementary to these analyses, chromosome conformation technologies promise to refine and improve our view on chromosomal architecture and to provide a more generalised description of nuclear organization. Results: Employing circular chromosome conformation capture (4C), this study describes chromosomal architecture in Arabidopsis nuclei from a genome-wide perspective. Surprisingly, the linear organisation of chromosomes is reflected in the genome-wide interactome. In addition, we studied the interplay of the interactome and epigenetic marks and report that the heterochromatic knob on the short arm of chromosome 4 (hk4s) maintained a pericentromere-like interaction profile and interactome despite its euchromatic surrounding. Conclusion: Despite the extreme condensation that is necessary to pack the chromosomes into the nucleus, the Arabidopsis genome appears to be packed in a predictive manner, according to the following criteria: (i) heterochromatin and euchromatin represent two distinct interactomes, (ii) interactions between chromosomes correlates with the linear position on the chromosome arm, and (iii) distal chromosome regions have a higher potential to interact with other chromosomes.
2013-11-01 | GSE50181 | GEO
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