Chromosome conformation capture (Hi-C) of the turquoise killifish
Ontology highlight
ABSTRACT:
ORGANISM(S): Nothobranchius furzeri
PROVIDER: GSE218971 | GEO | 2024/03/06
REPOSITORIES: GEO
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Project description:Chromosome conformation capture (Hi-C) of the turquoise killifish
| PRJNA906485 | ENA
Project description:In this work we took 9 samples from brain and 6 samples from muscle of the African turquoise killifish (Nothobranchius furzeri) at 3.5, 8.5 and 14 weeks. Total RNA was sequenced and circRNAs were detected.
2019-07-31 | GSE134065 | GEO
Project description:It is becoming increasingly important to understand the mechanism of regulatory elements on target genes in long-range genomic distance. 3C (chromosome conformation capture) and its derived methods are now widely applied to investigate three-dimensional (3D) genome organizations and gene regulation. Digestion-ligation-only Hi-C (DLO Hi-C) is a new technology with high efficiency and cost-effectiveness for whole-genome chromosome conformation capture. Here, we introduce the DLO Hi-C tool, a flexible and versatile pipeline for processing DLO Hi-C data from raw sequencing reads to normalized contact maps and for providing quality controls for different steps. It includes more efficient iterative mapping and linker filtering. We applied the DLO Hi-C tool to different DLO Hi-C datasets and demonstrated its ability in processing large data with multithreading. The DLO Hi-C tool is suitable for processing DLO Hi-C and in situ DLO Hi-C datasets. It is convenient and efficient for DLO Hi-C data processing.
| S-EPMC7140825 | biostudies-literature
Project description:BACKGROUND:Hi-C experiments couple DNA-DNA proximity with next-generation sequencing to yield an unbiased description of genome-wide interactions. Previous methods describing Hi-C experiments have focused on the industry-standard Illumina sequencing. With new next-generation sequencing platforms such as BGISEQ-500 becoming more widely available, protocol adaptations to fit platform-specific requirements are useful to give increased choice to researchers who routinely generate sequencing data. RESULTS:We describe an in situ Hi-C protocol adapted to be compatible with the BGISEQ-500 high-throughput sequencing platform. Using zebra finch (Taeniopygia guttata) as a biological sample, we demonstrate how Hi-C libraries can be constructed to generate informative data using the BGISEQ-500 platform, following circularization and DNA nanoball generation. Our protocol is a modification of an Illumina-compatible method, based around blunt-end ligations in library construction, using un-barcoded, distally overhanging double-stranded adapters, followed by amplification using indexed primers. The resulting libraries are ready for circularization and subsequent sequencing on the BGISEQ series of platforms and yield data similar to what can be expected using Illumina-compatible approaches. CONCLUSIONS:Our straightforward modification to an Illumina-compatible in situHi-C protocol enables data generation on the BGISEQ series of platforms, thus expanding the options available for researchers who wish to utilize the powerful Hi-C techniques in their research.
| S-EPMC7448675 | biostudies-literature
Project description:In this paper, we introduce sequence-based multiscale modeling for biomolecular data analysis. We employ spectral clustering method in our modeling and reveal the difference between sequence-based global scale clustering and local scale clustering. Essentially, two types of distances, i.e., Euclidean (or spatial) distance and genomic (or sequential) distance, can be used in data clustering. Clusters from sequence-based global scale models optimize spatial distances, meaning spatially adjacent loci are more likely to be assigned into the same cluster. Sequence-based local scale models, on the other hand, result in clusters that optimize genomic distances. That is to say, in these models, sequentially adjoining loci tend to be cluster together. We propose two sequence-based multiscale models (SeqMMs) for the study of chromosome hierarchical structures, including genomic compartments and topological associated domains (TADs). We find that genomic compartments are determined only by global scale information in the Hi-C data. The removal of all the local interactions within a band region as large as 10 Mb in genomic distance has almost no significant influence on the final compartment results. Further, in TAD analysis, we find that when the sequential scale is small, a tiny variation of diagonal band region in a contact map will result in a great change in the predicted TAD boundaries. When the scale value is larger than a threshold value, the TAD boundaries become very consistent. This threshold value is highly related to TAD sizes. By the comparison of our results with those previously obtained using a spectral clustering model, we find that our method is more robust and reliable. Finally, we demonstrate that almost all TAD boundaries from both clustering methods are local minimum of a TAD summation function.
| S-EPMC5800693 | biostudies-literature
Project description:To explore the effects of the housing condition (group- or single-housing) on killifish, we performed RNA-seq analysis for the whole bodies of male and female juveniles, gonads of males and females from puberty to middle age, and livers of young and old males.
2024-10-13 | GSE245481 | GEO
Project description:To explore the effects of the housing condition (group- or single-housing) on killifish, we performed RNA-seq analysis for the whole bodies of male and female juveniles, gonads of males and females from puberty to middle age, and livers of young and old males.
2024-10-13 | GSE245480 | GEO
Project description:Circular RNAs in the ageing African turquoise killifish
| PRJNA553674 | ENA
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
Project description:In order to understand molecular basis of cardiac ageing in killifish, we have performed RNA Seq on the ventricular regions of young and aged killifish. Experiment was performed in biological triplicates.
2019-03-22 | E-MTAB-7582 | biostudies-arrayexpress