Hi-TrAC reveals fine-scale chromatin structures organized by transcription factors
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ABSTRACT:
PROVIDER: PRJNA746963 | ENA |
REPOSITORIES: ENA
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Project description:The three-dimensional genomic structure plays a critical role in gene expression, cellular differentiation, and pathological conditions. Previous studies have extensively investigated the structures including A/B compartments and topologically associating domains (TADs) at a scale from hundreds of kilobases (kb) to megabases (Mb). However, fine-scale chromatin architectures, particularly enhancer-promoter interactions, which are often within 100 kb and critical for the temporospatial regulation of expression, remain to be fully characterized due to technical limitations. In this study, we report Hi-TrAC as a proximity ligation free, robust, and sensitive technique to profile genome-wide chromatin interactions at high-resolution among accessible regulatory elements. Hi-TrAC detects chromatin looping among accessible chromatin regions at single nucleosome resolution. We observed that cell-specifically expressed genes are harbored in active sub-TADs. With almost half million identified loops, we constructed a comprehensive interaction network of regulatory elements across the genome. After integrating chromatin binding profiles of transcription factors (TFs), we discovered that cohesin complex and CTCF are responsible for organizing long-range chromatin loops, which are related with domain formation, whereas ZNF143 and HCFC1 are involved in structuring short-range chromatin loops between regulatory elements, which directly regulate gene expression. Thus, here we developed a new methodology to identify a delicate and comprehensive network of cis regulatory elements, revealing the complexity and a division of labor of TFs in chromatin looping for genome organization and gene expression.
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Project description:Eukaryotic genome spatial folding plays a key role in genome function. Decoding the principles and dynamics of 3D genome organization depends on improving technologies to achieve higher resolution. Chromatin domains have been suggested as regulatory micro-environments, whose identification is crucial to understand the genome architecture. We report here that our recently developed method, Hi-TrAC, which specializes in detecting chromatin loops among genomic accessible regulatory regions, allows us to examine active domains with limited sequencing depths at a high resolution. Hi-TrAC can detect active sub-TADs with a median size of 100kb, most of which harbor one or two cell specifically expressed genes and regulatory elements such as super-enhancers organized into nested interaction domains. These active sub-TADs are characterized by highly enriched signals of histone mark H3K4me1 and chromatin-binding proteins, including Cohesin complex. We show that knocking down core subunit of the Cohesin complex using shRNAs in human cells or decreasing the H3K4me1 modification by deleting the H3K4 methyltransferase Mll4 gene in mouse Th17 cells disrupted the sub-TADs structure. In summary, Hi-TrAC serves as a compatible and highly responsive approach to studying dynamic changes of active sub-TADs, allowing us more explicit insights into delicate genome structures and functions.
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Project description:Interaction between different chromatin regions plays critical roles in genome organization and regulation of transcription. Existing technologies of analyzing genome-wide chromatin interactions rely on in vitro proximity-based ligation of interacting chromatin fragments and thus are prone to potential artifacts. We now report a novel technique, Transposase-mediated Analysis of Chromatin loops (TrAC-loop), for detection of genome-wide chromatin interactions between regulatory regions. With this technique, a bivalent oligonucleotide linker is inserted between two interacting chromatin regions such that the distant interacting chromatin regions can be directly amplified by PCR and thus avoids the prior chromatin fragmentation and subsequent error-prone re-ligation steps. TrAC-loop selectively targets accessible regions, which effectively reduces the sequencing cost for detecting promoter-enhancer interactions at high resolution. Application of TrAC-loop to human CD4+ T cells reveals a substantial reorganization of enhancer-promoter interaction associated with changes in gene expression upon TCR stimulation.
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Project description:Hi-TrAC Detects Active Sub-TADs and Reveals Internal Organizations of Super-Enhancers
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Project description:The spatial folding of eukaryotic genome plays a key role in genome function. We report here that our recently developed method, Hi-TrAC, which specializes in detecting chromatin loops among accessible genomic regions, can detect active sub-TADs with a median size of 100 kb, most of which harbor one or two cell specifically expressed genes and regulatory elements such as super-enhancers organized into nested interaction domains. These active sub-TADs are characterized by highly enriched histone mark H3K4me1 and chromatin-binding proteins, including Cohesin complex. Deletion of selected sub-TAD boundaries have different impacts, such as decreased chromatin interaction and gene expression within the sub-TADs or compromised insulation between the sub-TADs, depending on the specific chromatin environment. We show that knocking down core subunit of the Cohesin complex using shRNAs in human cells or decreasing the H3K4me1 modification by deleting the H3K4 methyltransferase Mll4 gene in mouse Th17 cells disrupted the sub-TADs structure. Our data also suggest that super-enhancers exist as an equilibrium globule structure, while inaccessible chromatin regions exist as a fractal globule structure. In summary, Hi-TrAC serves as a highly sensitive and inexpensive approach to study dynamic changes of active sub-TADs, providing more explicit insights into delicate genome structures and functions.
| S-EPMC10325921 | biostudies-literature
Project description:The three-dimensional genomic structure plays a critical role in gene expression, cellular differentiation, and pathological conditions. It is pivotal to elucidate fine-scale chromatin architectures, especially interactions of regulatory elements, to understand the temporospatial regulation of gene expression. In this study, we report Hi-TrAC as a proximity ligation-free, robust, and sensitive technique to profile genome-wide chromatin interactions at high-resolution among regulatory elements. Hi-TrAC detects chromatin looping among accessible regions at single nucleosome resolution. With almost half-million identified loops, we reveal a comprehensive interaction network of regulatory elements across the genome. After integrating chromatin binding profiles of transcription factors, we discover that cohesin complex and CTCF are responsible for organizing long-range chromatin loops, related to domain formation; whereas ZNF143 and HCFC1 are involved in structuring short-range chromatin loops between regulatory elements, which directly regulate gene expression. Thus, we introduce a methodology to identify a delicate and comprehensive network of cis-regulatory elements, revealing the complexity and a division of labor of transcription factors in organizing chromatin loops for genome organization and gene expression.
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Project description:Bacterial mRNAs are organized into operons consisting of discrete open reading frames (ORFs) in a single polycistronic mRNA. Individual ORFs on the mRNA are differentially translated, with rates varying as much as 100-fold. The signals controlling differential translation are poorly understood. Our genome-wide mRNA secondary structure analysis indicated that operonic mRNAs are comprised of ORF-wide units of secondary structure that vary across ORF boundaries such that adjacent ORFs on the same mRNA molecule are structurally distinct. ORF translation rate is strongly correlated with its mRNA structure in vivo, and correlation persists, albeit in a reduced form, with its structure when translation is inhibited and with that of in vitro refolded mRNA. These data suggests that intrinsic ORF mRNA structure encodes a rough blueprint for translation efficiency. This structure is then amplified by translation, in a self-reinforcing loop, to provide the structure that ultimately specifies the translation of each ORF.
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