Project description:Mutations such as gene fusion, translocation and focal amplification are a frequent cause of proto-oncogene activation during tumorigenesis, but such mutations do not explain all cases of proto-oncogene activation. Here we show that disruption of local chromosome conformation can also activate proto-oncogenes in human cells. We mapped chromosome structures in T-cell acute lymphoblastic leukemia (T-ALL), and found that active oncogenes and silent proto-oncogenes generally occur within insulated neighborhoods formed by the looping of two interacting CTCF sites co-occupied by cohesin. Recurrent microdeletions frequently overlap neighborhood boundary sites in T-ALL genomes, and we demonstrate that site-specific perturbation of loop boundaries is sufficient to activate the respective proto-oncogenes in non-malignant cells. We found somatic genomic rearrangements affecting loop boundaries in many cancers. These results suggest that chromosome structural organization is fundamental to identify functional somatic alterations in cancer genomes.
Project description:Mutations such as gene fusion, translocation and focal amplification are a frequent cause of proto-oncogene activation during tumorigenesis, but such mutations do not explain all cases of proto-oncogene activation. Here we show that disruption of local chromosome conformation can also activate proto-oncogenes in human cells. We mapped chromosome structures in T-cell acute lymphoblastic leukemia (T-ALL), and found that active oncogenes and silent proto-oncogenes generally occur within insulated neighborhoods formed by the looping of two interacting CTCF sites co-occupied by cohesin. Recurrent microdeletions frequently overlap neighborhood boundary sites in T-ALL genomes, and we demonstrate that site-specific perturbation of loop boundaries is sufficient to activate the respective proto-oncogenes in non-malignant cells. We found somatic genomic rearrangements affecting loop boundaries in many cancers. These results suggest that chromosome structural organization is fundamental to identify functional somatic alterations in cancer genomes.
Project description:Mutations such as gene fusion, translocation and focal amplification are a frequent cause of proto-oncogene activation during tumorigenesis, but such mutations do not explain all cases of proto-oncogene activation. Here we show that disruption of local chromosome conformation can also activate proto-oncogenes in human cells. We mapped chromosome structures in T-cell acute lymphoblastic leukemia (T-ALL), and found that active oncogenes and silent proto-oncogenes generally occur within insulated neighborhoods formed by the looping of two interacting CTCF sites co-occupied by cohesin. Recurrent microdeletions frequently overlap neighborhood boundary sites in T-ALL genomes, and we demonstrate that site-specific perturbation of loop boundaries is sufficient to activate the respective proto-oncogenes in non-malignant cells. We found somatic genomic rearrangements affecting loop boundaries in many cancers. These results suggest that chromosome structural organization is fundamental to identify functional somatic alterations in cancer genomes.
Project description:Mutations such as gene fusion, translocation and focal amplification are a frequent cause of proto-oncogene activation during tumorigenesis, but such mutations do not explain all cases of proto-oncogene activation. Here we show that disruption of local chromosome conformation can also activate proto-oncogenes in human cells. We mapped chromosome structures in T-cell acute lymphoblastic leukemia (T-ALL), and found that active oncogenes and silent proto-oncogenes generally occur within insulated neighborhoods formed by the looping of two interacting CTCF sites co-occupied by cohesin. Recurrent microdeletions frequently overlap neighborhood boundary sites in T-ALL genomes, and we demonstrate that site-specific perturbation of loop boundaries is sufficient to activate the respective proto-oncogenes in non-malignant cells. We found somatic genomic rearrangements affecting loop boundaries in many cancers. These results suggest that chromosome structural organization is fundamental to identify functional somatic alterations in cancer genomes.
Project description:We developed Chromatin Interaction Analysis by Paired-End Tag sequencing (ChIA-PET) for de novo detection of global chromatin interactions, and comprehensively mapped the chromatin interaction network bound by estrogen receptor α (ERα) in the human genome. We performed 454 and Illumina sequencing analyses. Keywords: Epigenetics Using 454, we examined 3 libraries: IHM001 (Estrogen Receptor ChIA-PET), IHM043 (Estrogen Receptor ChIP-PET) and IHM062 (IgG ChIA-PET) Using Illumina, we examined 4 libraries: IHM001 (Estrogen Receptor ChIA-PET replicate 1, Paired End Sequencing), IHH015 (Estrogen Receptor ChIA-PET replicate 2, Paired End Sequencing), H3K4me3 ChIP-Seq and RNA polymerase II ChIP-Seq
Project description:The control of cell identity is orchestrated by transcriptional and chromatin regulators in the context of specific chromosome structures. With the recent isolation of human naive embryonic stem cells (ESCs) representative of the ground state of pluripotency, it is possible to deduce this regulatory landscape in one of the earliest stages of human development. Here we generate cohesin ChIA-PET chromatin interaction data in naive and primed human ESCs and use it to reconstruct and compare the 3D regulatory landscapes of these two stages of early human development. The results reveal shared and stage-specific regulatory landscapes of topological domains and their subdomains, which consist of CTCF-CTCF/cohesin loops and enhancer-promoter/cohesin loops. The enhancer-promoter loop data reveal that genes with key roles in pluripotency are nearly always regulated by one or more super-enhancers, and show that these genes tend to occur in insulated neighborhoods. Our results reveal the key features of the 3D regulatory landscape of early human cells that form the foundation for embryonic development. ChIP-seq data from naive and primed human embroynic stem cells.