Chromatin conformation identification by Cut-C
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA518761 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR8518553_1.fastq.gz | Fastqsanger.gz | |||
| SRR8518553_2.fastq.gz | Fastqsanger.gz | |||
| SRR8518554_1.fastq.gz | Fastqsanger.gz | |||
| SRR8518554_2.fastq.gz | Fastqsanger.gz | |||
| SRR8518555_1.fastq.gz | Fastqsanger.gz |
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Project description:Understanding of the 3D structure of the genome is essential to decipher the detailed regulatory mechanisms of gene expression. Here we present CUT-C, a method that combines the antibody mediated cleavage by tethered nuclease with the chromosome conformation capture technique to identify chromatin interactions mediated by a protein of interest. CUT-C identifies protein-centric chromatin conformation along with the genome wide distribution of target proteins.
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Project description:Background: Although genetic or epigenetic alterations have shown to affect the three-dimensional organization of genomes, the utility of chromatin conformation in the classification of human disease has never been addressed. Results: Here, we explore whether chromatin conformation can be used to classify human leukemia. We map the conformation of the HOXA gene cluster in a panel of cell lines with 5C chromosome conformation capture technology, and use the data to train and test a support vector machine classifier named 3D-SP. We show that 3D-SP is able to accurately distinguish leukemias expressing MLL-fusion proteins from those expressing only wild-type MLL, and that it can also classify leukemia subtypes according to MLL fusion partner, based solely on 5C data. Conclusions: Our study provides the first proof-of-principle demonstration that chromatin conformation contains the information value necessary for classification of leukemia subtypes. Examination of CTCF and RAD21 binding sites in THP-1 cell.
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Project description:Cut regulates the programmed death of neural stem cells by altering cohesin levels and promoting a more open chromatin conformation to allow cell death gene expression.
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Project description:Identification of chromatin states during zebrafish gastrulation using CUT&RUN and CUT&Tag
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Project description:Chromatin conformation and histone modification profiling across human kidney anatomic regions [CUT&RUN]
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Project description:Background: Although genetic or epigenetic alterations have shown to affect the three-dimensional organization of genomes, the utility of chromatin conformation in the classification of human disease has never been addressed. Results: Here, we explore whether chromatin conformation can be used to classify human leukemia. We map the conformation of the HOXA gene cluster in a panel of cell lines with 5C chromosome conformation capture technology, and use the data to train and test a support vector machine classifier named 3D-SP. We show that 3D-SP is able to accurately distinguish leukemias expressing MLL-fusion proteins from those expressing only wild-type MLL, and that it can also classify leukemia subtypes according to MLL fusion partner, based solely on 5C data. Conclusions: Our study provides the first proof-of-principle demonstration that chromatin conformation contains the information value necessary for classification of leukemia subtypes. Analysis of 38 samples using 5C technology. All data normalized using a 'master' BAC consisting of 5C data from 6 samples.
2014-02-27 | E-GEOD-55406 | biostudies-arrayexpress
Project description:Determining the genomic localization of chromatin features is an essential aspect of investigating gene expression control, and ChIP-Seq has long been the gold standard technique for interrogating chromatin landscapes. Recently, the development of alternative methods, such as CUT&Tag, have provided researchers with alternative strategies that eliminate the need for chromatin purification, and allow for in situ investigation of histone modifications and chromatin bound factors. Mindful of technical differences, we set out to investigate whether distinct chromatin modifications were equally compatible with these different chromatin interrogation techniques. We found that ChIP-Seq and CUT&Tag performed similarly for modifications known to reside at gene regulatory regions, such as promoters and enhancers, but major differences were observed when we assessed enrichment over heterochromatin-associated loci. Unlike ChIP-Seq, CUT&Tag detects robust levels of H3K9me3 at a substantial number of repetitive elements, with especially high sensitivity over evolutionarily young retrotransposons. IAPEz-int elements for example, exhibited underrepresentation in mouse ChIP-Seq datasets but strong enrichment using CUT&Tag. Additionally, we identified several euchromatin-associated proteins that co-purify with repetitive loci and are similarly depleted when applying ChIP-based methods. This study reveals that our current knowledge of chromatin states across the heterochromatin portions of the mammalian genome is extensively incomplete, largely due to36 limitations of ChIP-Seq. We also demonstrate that newer in situ chromatin fragmentation-based techniques, such as CUT&Tag and CUT&RUN, are more suitable for studying chromatin modifications over repetitive elements and retrotransposons.
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Project description:Emerging evidence suggests that chromatin adopts a non-random three-dimensional (3D) topology and that the organization of genes into structural hubs and domains affects their transcriptional status. How chromatin conformation changes in diseases such as cancer is poorly understood. Moreover, how oncogenic transcription factors, which bind to thousands of sites across the genome, influence gene regulation by globally altering the topology of chromatin requires further investigation. To address these questions, we performed unbiased high-resolution mapping of intra- and inter-chromosome interactions upon over-expression of ERG, an oncogenic transcription factor frequently over-expressed in prostate cancer as a result of a gene fusion. By integrating data from genome-wide chromosome conformation capture (Hi-C), ERG binding and gene expression, we demonstrate that oncogenic transcription factor over-expression is associated with global, reproducible and functionally coherent changes in chromatin organization. The results presented here have broader implications, as genomic alterations in other cancer types frequently give rise to aberrant transcription factor expression e.g., EWS-FLI1, c-Myc, n-Myc, PML-RARα. We used stable isogenic, normal benign prostate epithelial cell lines (RWPE1) that differ with respect to ERG3 over-expression. To test whether ERG over-expression is associated with global changes in chromatin structure, we performed unbiased chromatin interaction mapping using the Hi-C technique from both RWPE1-ERG and RWPE1-GFP cells, with biological replicates. Successful fill-in and ligation were determined as previously reported by testing for a known interaction between two distant genomic loci located on chromosome 6. The Hi-C libraries were paired-end sequenced using an Illumina GAIIx platform. Following alignment to the human genome (hg18) and filtering to remove un-ligated and self-ligated DNA, we identified intra-chromosomal (or cis-) and inter-chromosomal (or trans-) interactions in both RWPE1 cell lines. To characterize ERG binding and ERG-mediated gene expression changes in these cells, we performed chromatin-immunoprecipitation combined with high-throughput sequencing (ChIP-seq) and RNA sequencing (RNA-seq). ERG was bound to 6,398 sites in RPWE1-ERG cells. Based on paired-end RNA-seq data from both cell lines, 1,266 genes were differentially expressed between RWPE1-ERG and RWPE1-GFP cell lines.
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Project description:Here we describe successful implementation of CUT&Tag for profiling protein-DNA interactions in zebrafish embryos. We optimized CUT&Tag protocol to generate high resolution maps of enrichment for the histone variant H2A.Z during zebrafish development. We were able to establish dynamics of H2A.Z genomic patterning from shield stage to 24hpf embryos. Our work demonstrates the power of combining CUT&Tag with the strengths of the zebrafish system to better understand the changing embryonic chromatin landscape and its roles in shaping development.
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