Similar Datasets
Project description:Mammalian sex is determined by a network of antagonistic genes that are well characterized. However, its non-coding regulation is still largely unknown. Here we explore the 3D chromatin landscape of sex determination in vivo. We integrate Hi-C with ChIP-seq experiments using METALoci, a novel genome spatial auto-correlation analysis approach that identifies 3D regulatory hubs across the genome. We uncover a prominent rewiring of chromatin interactions during sex determination. By combining predictive approaches and validations in transgenic mice we identify a novel Fgf9 regulatory hub, which deletion results in male-to-female sex reversal.
2022-11-21 | GSE217617 | GEO
Project description:Mammalian sex is determined by a network of antagonistic genes that are well characterized. However, its non-coding regulation is still largely unknown. Here we explore the 3D chromatin landscape of sex determination in vivo. We integrate Hi-C with ChIP-seq experiments using METALoci, a novel genome spatial auto-correlation analysis approach that identifies 3D regulatory hubs across the genome. We uncover a prominent rewiring of chromatin interactions during sex determination. By combining predictive approaches and validations in transgenic mice we identify a novel Fgf9 regulatory hub, which deletion results in male-to-female sex reversal.
2022-11-21 | GSE217616 | GEO
Project description:Sex-determining 3D regulatory hubs revealed by genome spatial auto-correlation analysis
| PRJNA899827 | ENA
Project description:Sex-determining 3D regulatory hubs revealed by genome spatial auto-correlation analysis [RNA-seq]
| PRJNA899837 | ENA
Project description:Sex-determining 3D regulatory hubs revealed by genome spatial auto-correlation analysis [Hi-C]
| PRJNA899840 | ENA
Project description:Eukaryotic genomes are packaged into a 3-dimensional structure in the nucleus. Current methods for studying genome-wide structure are based on proximity ligation. However, this approach can fail to detect known structures, such as interactions with nuclear bodies, because these DNA regions can be too far apart to directly ligate. Accordingly, our overall understanding of genome organization remains incomplete. Here, we develop split-pool recognition of interactions by tag extension (SPRITE), a method that enables genome-wide detection of higher-order interactions within the nucleus. Using SPRITE, we recapitulate known structures identified by proximity ligation and identify additional interactions occurring across larger distances, including two hubs of inter-chromosomal interactions that are arranged around the nucleolus and nuclear speckles. We show that a substantial fraction of the genome exhibits preferential organization relative to these nuclear bodies. Our results generate a global model whereby nuclear bodies act as inter-chromosomal hubs that shape the overall packaging of DNA in the nucleus.
| S-EPMC6548320 | biostudies-literature
Project description:The 3D conformation of the chromatin creates complex networks of noncoding regulatory regions (distal elements) and promoters impacting gene regulation. Despite the importance of the role of noncoding regions in complex diseases, little is known about their interplay within regulatory hubs and implication in multigenic diseases such as schizophrenia. Here we show that cis-regulatory hubs (CRHs) in neurons highlight functional interactions between distal elements and promoters, providing a model to explain epigenetic mechanisms involved in complex diseases. CRHs represent a new 3D model, where distal elements interact to create a complex network of active genes. In a disease context, CRHs highlighted strong enrichments in schizophrenia-associated genes, schizophrenia-associated SNPs, and schizophrenia heritability compared with equivalent structures. Finally, CRHs exhibit larger proportions of genes differentially expressed in schizophrenia compared with promoter-distal element pairs or TADs. CRHs thus capture causal regulatory processes improving the understanding of complex disease etiology such as schizophrenia. These multiple lines of genetic and statistical evidence support CRHs as 3D models to study dysregulation of gene expression in complex diseases more generally.
| S-EPMC8807870 | biostudies-literature
Project description:The contribution of spatial processes to the spatial patterns of ecological systems is widely recognized, but spatial patterns in the ecology of plant-herbivore interactions have rarely been investigated quantitatively owing to limited budget and time associated with ecological research. Studies of the level of browsing on various tree species reported either no spatial auto-correlation or a small effect size. Further, the effects of disturbance events, such as hurricanes, which create large forest openings on spatial patterns of herbivory are not well understood.In this study, we used forest inventory data obtained from the federal state of Baden-Württemberg (Southern Germany) between 2001 and 2009 (grid size: 100 × 200 m) and thus, after hurricane Lothar struck Southern Germany in 1999. We investigated whether the browsing level of trees (height ≤ 130 cm) in one location is independent of that of the neighborhood.Our analyses of 1,758,622 saplings (187.632 sampling units) of oak (Quercus), fir (Abies), spruce (Picea), and beech (Fagus) revealed that the browsing level is characterized by a short distance spatial auto-correlation.The application of indicator variables based on browsed saplings should account for the spatial pattern as the latter may affect the results and therefore also the conclusions of the analysis.
| S-EPMC7417255 | biostudies-literature
Project description:Achieving a quantitative and predictive understanding of 3D genome architecture remains a major challenge, as it requires quantitative measurements of the key proteins involved. Here, we report the quantification of CTCF and cohesin, two causal regulators of topologically associating domains (TADs) in mammalian cells. Extending our previous imaging studies (Hansen et al., 2017), we estimate bounds on the density of putatively DNA loop-extruding cohesin complexes and CTCF binding site occupancy. Furthermore, co-immunoprecipitation studies of an endogenously tagged subunit (Rad21) suggest the presence of cohesin dimers and/or oligomers. Finally, based on our cell lines with accurately measured protein abundances, we report a method to conveniently determine the number of molecules of any Halo-tagged protein in the cell. We anticipate that our results and the established tool for measuring cellular protein abundances will advance a more quantitative understanding of 3D genome organization, and facilitate protein quantification, key to comprehend diverse biological processes.
| S-EPMC6579579 | biostudies-literature
Project description:We develop a method called open chromatin enrichment and network Hi-C (OCEAN-C) for antibody-independent mapping of global open chromatin interactions. By integrating FAIRE-seq and Hi-C, OCEAN-C detects open chromatin interactions enriched by active cis-regulatory elements. We identify more than 10,000 hubs of open chromatin interactions (HOCIs) in human cells, which are mainly active promoters and enhancers bound by many DNA-binding proteins and form interaction networks crucial for gene transcription. In addition to identifying large-scale topological structures, including topologically associated domains and A/B compartments, OCEAN-C can detect HOCI-mediated chromatin interactions that are strongly associated with gene expression, super-enhancers, and broad H3K4me3 domains.
| S-EPMC5926533 | biostudies-literature