Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

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Chromatin interactions involving super-enhancers associate with specific expression patterns of target genes

ABSTRACT: Super-enhancers may regulate target genes through chromatin looping. We connected super-enhancers in the K562 chronic myelogenous leukemia cell line with chromatin interactions identified from Chromatin Interaction Analysis with Paired-End Tag (ChIA-PET) data. Gene expression at proximal elements that are connected with distal super-enhancers showed significantly higher cell-type specificity than at proximal elements connected with other elements or not involved in interaction. 4C and Episwitch analysis of chromatin interactions showed that certain chromatin interactions are cell-specific, but others are more general. While super-enhancers upstream of c-MYC at the MYC-335 element can be found in other cancers, only super-enhancers downstream of c-MYC can be found in K562. 4C analysis of the c-MYC promoter revealed no chromatin interactions that are directed upstream of c-MYC, but only downstream of c-MYC, in the PVT1 long non-coding RNA gene. Cell-specific usage of super-enhancers could explain why the MYC-335 element that is associated with many solid cancers such as colorectal cancer and breast cancer, but not with leukemia. Surprisingly, we found that a chromatin interaction between c-MYC and a c-MYC super-enhancer is lost in chronic myelogenous leukemia patient blood as compared with blood from individuals without the disease through Oxford Biodynamicsâ?? Episwitch analysis. These results provide evidence for fine-tuning of expression patterns, such as cell-specific regulation of target genes by distal super-enhancers through chromatin interactions and an association between chromatin interactions and disease, and highlight that super-enhancers are more complex than previously described. Examination of several chromatin interactions involving super-enhancers using 4C-Seq and Episwitch (TM)

ORGANISM(S): Homo sapiens

SUBMITTER: Melissa Fullwood

PROVIDER: E-GEOD-77125 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:The antibody gene mutator AID promiscuously damages oncogenes and B cell identity genes leading to chromosomal translocations and tumorigenesis. Why non-immunoglobulin loci are susceptible to AID activity is unknown. Here we study AID-mediated lesions in the context of nuclear architecture and the B cell regulome. We show that AID targets are not randomly distributed across the genome, but are predominantly clustered within super-enhancers. Unexpectedly, in these domains AID deaminates highly active promoters and eRNA+ enhancers interconnected in some instances over megabases of linear chromatin. Using genome editing we demonstrate that 3D-linked targets cooperate to recruit AID-mediated breaks. Furthermore, a comparison of hypermutation in mouse B cells, AID-induced kataegis in human lymphomas, and translocations in MEFs reveals that AID damages different genes in different cell types. Yet, in all cases, the targets are predominantly associated with topological complex, highly transcribed super-enhancers, demonstrating that these compartments are key mediators of AID recruitment. Examination of AID activity in human cells via Single Nucleotide Variant discovery in H3K4me3 ChIP-seq data from 26 MSH2-/-; AIDtg; UGItg, 18 AICDA-/- and 2 unmodified RAMOS clonal populations. Examination of PolII mediated long-range interactions via Chia-PET of RAMOS cells (2 sample). Identification of super-enhancers from H3K27Ac ChIP-Seq data from activated B cells (3 replicates and 1 input control) and RAMOS cells (1 sample and 1 input control), 2 preparations of naive and 2 of germinal center (GC) B cells from human tonsilectomy samples. Mapping of regulatory elements in RAMOS based on H3K4me1 (1 sample) and Nipbl (2 replicates) ChIP-Seq. RNA expression analyses of activated B cells from 3 WT and 3 Il4raU/U mice and RAMOS cells (3 replicates). Mapping of long-range interactions by 4C in activated B cells from a WT and an Il4raU/U mouse with the IL4ra and Il21r locus, respectively, as a viewpoint. Mapping of Super-Enhancers in activated B cells from Il4raU/U and WT control mice (2 samples).

Project description:4C-Seq has proven to be a powerful technique to identify genome-wide interactions with a single locus of interest (or "bait") that can be important for gene regulation. However, analysis of 4C-Seq data is complicated by the many biases inherent to the technique. An important consideration when dealing with 4C-Seq data is the differences in resolution of signal across the genome that result from differences in 3D distance separation from the bait. This leads to the highest signal in the region immediately surrounding the bait and increasingly lower signals in far-cis and trans. Another important aspect of 4C-Seq experiments is the resolution, which is greatly influenced by the choice of restriction enzyme and the frequency at which it can cut the genome. Thus, it is important that a 4C-Seq analysis method is flexible enough to analyze data generated using different enzymes and to identify interactions across the entire genome. Current methods for 4C-Seq analysis only identify interactions in regions near the bait or in regions located in far-cis and trans, but no method comprehensively analyzes 4C signals of different length scales. In addition, some methods also fail in experiments where chromatin fragments are generated using frequent cutter restriction enzymes. Here, we describe 4C-ker, a Hidden-Markov Model based pipeline that identifies regions throughout the genome that interact with the 4C bait locus. In addition, we incorporate methods for the identification of differential interactions in multiple 4C-seq datasets collected from different genotypes or experimental conditions. Adaptive window sizes are used to correct for differences in signal coverage in near-bait regions, far-cis and trans chromosomes. Using several datasets, we demonstrate that 4C-ker outperforms all existing 4C-Seq pipelines in its ability to reproducibly identify interaction domains at all genomic ranges with different resolution enzymes. 4C-Seq experiments from Igh and Cd83 bait in activated B cells and Tcrb (Eb) bait in double negative T cells and immature B cells. RNA-Seq and ATAC-Seq experiments in DN and Immature B cells.

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Chromatin interactions involving super-enhancers associate with specific expression patterns of target genes

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