scholarly journals Chromatin Loop Anchors Are Core Structural Components of the Gene Expression Machinery in Maize

2020 ◽  
Author(s):  
Stephane Deschamps ◽  
John A Crow ◽  
Nadia Chaidir ◽  
Brooke Peterson-Burch ◽  
Sunil Kumar ◽  
...  
Keyword(s):  
Gene Expression ◽  
High Resolution ◽  
Transcriptional Activity ◽  
Spatial Organization ◽  
Target Genes ◽  
Regulation Of Gene Expression ◽  
Regulatory Elements ◽  
Open Chromatin ◽  
Chromatin Loop ◽  
Chromatin Loops

Abstract Background Three-dimensional chromatin loop structures connect regulatory elements to their target genes in regions known as anchors. In complex plant genomes, such as maize, it has been proposed that loops span heterochromatic regions marked by higher repeat content, but little is known on their spatial organization and genome-wide occurrence in relation to transcriptional activity. Results Here, ultra-deep Hi-C sequencing of maize B73 leaf tissue was combined with gene expression and open chromatin sequencing for chromatin loop discovery and correlation with transcriptional activity. Chromatin loops, made of two “anchors” flanking a loop “interior”, overlap with up to 90% of high-resolution interaction domains from a previous public maize interactome dataset. A majority of all anchors are shared between multiple loops, suggesting a highly dynamic environment, with a conserved set of anchors involved in multiple interaction networks. Chromatin loop interiors are marked by higher repeat contents than the anchors flanking them. A small fraction of high-resolution interaction anchors, fully embedded in larger chromatin loops, co-locate with active genes and putative protein-binding sites. Combinatorial analysis indicate that all anchors studied here co-locate with at least 81.5% of expressed genes and 74% of open chromatin regions. Up to 63% of all unique variants derived from a prior public maize eQTL datasets overlap with Hi-C loop anchors. Anchor annotation suggests that <7% of all loops detected from one Hi-C library are potentially devoid of any genes or regulatory elements. The overall conservation and organization of chromatin loop anchors in the maize genome suggest a loop modeling system hypothesized to resemble phase separation of repeat-rich regions. Conclusions A majority of expressed genes and open chromatin regions co-locate with a conserved set of chromatin loop anchors. The results presented here will be a useful reference to further investigate the function of chromatin loop anchors and of the formation of interaction regions in the regulation of gene expression in maize.

scholarly journals Chromatin loop anchors contain core structural components of the gene expression machinery in maize

BMC Genomics ◽  
2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Stéphane Deschamps ◽  
John A. Crow ◽  
Nadia Chaidir ◽  
Brooke Peterson-Burch ◽  
Sunil Kumar ◽  
...  
Keyword(s):  
Gene Expression ◽  
High Resolution ◽  
Transcriptional Activity ◽  
Spatial Organization ◽  
Regulatory Elements ◽  
Open Chromatin ◽  
Maize Genome ◽  
Chromatin Loop ◽  
Structural Components ◽  
Chromatin Loops

Abstract Background Three-dimensional chromatin loop structures connect regulatory elements to their target genes in regions known as anchors. In complex plant genomes, such as maize, it has been proposed that loops span heterochromatic regions marked by higher repeat content, but little is known on their spatial organization and genome-wide occurrence in relation to transcriptional activity. Results Here, ultra-deep Hi-C sequencing of maize B73 leaf tissue was combined with gene expression and open chromatin sequencing for chromatin loop discovery and correlation with hierarchical topologically-associating domains (TADs) and transcriptional activity. A majority of all anchors are shared between multiple loops from previous public maize high-resolution interactome datasets, suggesting a highly dynamic environment, with a conserved set of anchors involved in multiple interaction networks. Chromatin loop interiors are marked by higher repeat contents than the anchors flanking them. A small fraction of high-resolution interaction anchors, fully embedded in larger chromatin loops, co-locate with active genes and putative protein-binding sites. Combinatorial analyses indicate that all anchors studied here co-locate with at least 81.5% of expressed genes and 74% of open chromatin regions. Approximately 38% of all Hi-C chromatin loops are fully embedded within hierarchical TAD-like domains, while the remaining ones share anchors with domain boundaries or with distinct domains. Those various loop types exhibit specific patterns of overlap for open chromatin regions and expressed genes, but no apparent pattern of gene expression. In addition, up to 63% of all unique variants derived from a prior public maize eQTL dataset overlap with Hi-C loop anchors. Anchor annotation suggests that < 7% of all loops detected here are potentially devoid of any genes or regulatory elements. The overall organization of chromatin loop anchors in the maize genome suggest a loop modeling system hypothesized to resemble phase separation of repeat-rich regions. Conclusions Sets of conserved chromatin loop anchors mapping to hierarchical domains contains core structural components of the gene expression machinery in maize. The data presented here will be a useful reference to further investigate their function in regard to the formation of transcriptional complexes and the regulation of transcriptional activity in the maize genome.

scholarly journals Chromatin loop anchors contain core structural components of the gene expression machinery in maize

2020 ◽  
Author(s):  
Stephane Deschamps ◽  
John A Crow ◽  
Nadia Chaidir ◽  
Brooke Peterson-Burch ◽  
Sunil Kumar ◽  
...  
Keyword(s):  
Gene Expression ◽  
High Resolution ◽  
Transcriptional Activity ◽  
Spatial Organization ◽  
Regulatory Elements ◽  
Open Chromatin ◽  
Maize Genome ◽  
Chromatin Loop ◽  
Structural Components ◽  
Chromatin Loops

Abstract BackgroundThree-dimensional chromatin loop structures connect regulatory elements to their target genes in regions known as anchors. In complex plant genomes, such as maize, it has been proposed that loops span heterochromatic regions marked by higher repeat content, but little is known on their spatial organization and genome-wide occurrence in relation to transcriptional activity. ResultsHere, ultra-deep Hi-C sequencing of maize B73 leaf tissue was combined with gene expression and open chromatin sequencing for chromatin loop discovery and correlation with hierarchical topologically-associating domains (TADs) and transcriptional activity. A majority of all anchors are shared between multiple loops from previous public maize high-resolution interactome datasets, suggesting a highly dynamic environment, with a conserved set of anchors involved in multiple interaction networks. Chromatin loop interiors are marked by higher repeat contents than the anchors flanking them. A small fraction of high-resolution interaction anchors, fully embedded in larger chromatin loops, co-locate with active genes and putative protein-binding sites. Combinatorial analyses indicate that all anchors studied here co-locate with at least 81.5% of expressed genes and 74% of open chromatin regions. Approximately 38% of all Hi-C chromatin loops are fully embedded within hierarchical TAD-like domains, while the remaining ones share anchors with domain boundaries or with distinct domains. Those various loop types exhibit specific patterns of overlap for open chromatin regions and expressed genes, but no apparent pattern of gene expression. In addition, up to 63% of all unique variants derived from a prior public maize eQTL dataset overlap with Hi-C loop anchors. Anchor annotation suggests that <7% of all loops detected here are potentially devoid of any genes or regulatory elements. The overall organization of chromatin loop anchors in the maize genome suggest a loop modeling system hypothesized to resemble phase separation of repeat-rich regions. ConclusionsSets of conserved chromatin loop anchors mapping to hierarchical domains contains core structural components of the gene expression machinery in maize. The data presented here will be a useful reference to further investigate their function in regard to the formation of transcriptional complexes and the regulation of transcriptional activity in the maize genome.

scholarly journals The Causes and Consequences of Spatial Organization of the Genome in Regulation of Gene Expression

2021 ◽  
Vol 12 ◽  
Author(s):  
Marios Agelopoulos ◽  
Spyros Foutadakis ◽  
Dimitris Thanos
Keyword(s):  
Gene Expression ◽  
Spatial Organization ◽  
Protein Complexes ◽  
Regulation Of Gene Expression ◽  
Regulatory Elements ◽  
Current View ◽  
Regulation Of Expression ◽  
Time Space ◽  
Transcriptional Regulatory ◽  
Immune Related Genes

Regulation of gene expression in time, space and quantity is orchestrated by the functional interplay of cis-acting elements and trans-acting factors. Our current view postulates that transcription factors recognize enhancer DNA and read the transcriptional regulatory code by cooperative DNA binding to specific DNA motifs, thus instructing the recruitment of transcriptional regulatory complexes forming a plethora of higher-ordered multi-protein-DNA and protein-protein complexes. Here, we reviewed the formation of multi-dimensional chromatin assemblies implicated in gene expression with emphasis on the regulatory role of enhancer hubs as coordinators of stochastic gene expression. Enhancer hubs contain many interacting regulatory elements and represent a remarkably dynamic and heterogeneous network of multivalent interactions. A functional consequence of such complex interaction networks could be that individual enhancers function synergistically to ensure coordination, tight control and robustness in regulation of expression of spatially connected genes. In this review, we discuss fundamental paradigms of such inter- and intra- chromosomal associations both in the context of immune-related genes and beyond.

scholarly journals Integration of ATAC-seq and RNA-seq Unravels Chromatin Accessibility during Sex Reversal in Orange-Spotted Grouper (Epinephelus coioides)

2020 ◽  
Vol 21 (8) ◽  
pp. 2800 ◽  
Author(s):  
Xi Wu ◽  
Yang Yang ◽  
Chaoyue Zhong ◽  
Yin Guo ◽  
Tengyu Wei ◽  
...  
Keyword(s):  
Gene Expression ◽  
Binding Sites ◽  
Target Genes ◽  
Regulation Of Gene Expression ◽  
Sex Reversal ◽  
Open Chromatin ◽  
Specific Marker ◽  
Epinephelus Coioides ◽  
Rna Seq ◽  
Accessible Chromatin

Chromatin structure plays a pivotal role in maintaining the precise regulation of gene expression. Accessible chromatin regions act as the binding sites of transcription factors (TFs) and cis-elements. Therefore, information from these open regions will enhance our understanding of the relationship between TF binding, chromatin status and the regulation of gene expression. We employed an assay for transposase-accessible chromatin with high-throughput sequencing (ATAC-seq) and RNA-seq analyses in the gonads of protogynous hermaphroditic orange-spotted groupers during sex reversal to profile open chromatin regions and TF binding sites. We focused on several crucial TFs, including ZNF263, SPIB, and KLF9, and analyzed the networks of TF-target genes. We identified numerous transcripts exhibiting sex-preferred expression among their target genes, along with their associated open chromatin regions. We then investigated the expression patterns of sex-related genes as well as the mRNA localization of certain genes during sex reversal. We found a set of sex-related genes that—upon further study—might be identified as the sex-specific or cell-specific marker genes that trigger sex reversal. Moreover, we discovered the core genes (gnas, ccnb2, and cyp21a) of several pathways related to sex reversal that provide the guideposts for future study.

scholarly journals Graph-based data integration predicts long-range regulatory interactions across the human genome

2014 ◽  
Author(s):  
Sofie Demeyer ◽  
Tom Michoel
Keyword(s):  
Gene Expression ◽  
Long Range ◽  
Regulation Of Gene Expression ◽  
Cell Types ◽  
Exon Array ◽  
Regulatory Elements ◽  
Computational Method ◽  
Open Chromatin ◽  
Transcription Start Sites ◽  
Distal Regulatory Elements

Transcriptional regulation of gene expression is one of the main processes that affect cell diversification from a single set of genes. Regulatory proteins often interact with DNA regions located distally from the transcription start sites (TSS) of the genes. We developed a computational method that combines open chromatin and gene expression information for a large number of cell types to identify these distal regulatory elements. Our method builds correlation graphs for publicly available DNase-seq and exon array datasets with matching samples and uses graph-based methods to filter findings supported by multiple datasets and remove indirect interactions. The resulting set of interactions was validated with both anecdotal information of known long-range interactions and unbiased experimental data deduced from Hi-C and CAGE experiments. Our results provide a novel set of high-confidence candidate open chromatin regions involved in gene regulation, often located several Mb away from the TSS of their target gene.

Abstract 331: Genome-wide Analysis of Cardiac and Cardiac Fibroblasts Regulatory Elements Reveals Combinatorial Control of Gene Expression

2017 ◽  
Vol 121 (suppl_1) ◽  
Author(s):  
Tal Golan Lagziel ◽  
Lilac Caspi ◽  
Yair Lewis ◽  
Izhak Kehat
Keyword(s):  
Gene Expression ◽  
Transcription Factor ◽  
Target Genes ◽  
Cardiac Fibroblasts ◽  
Cell Types ◽  
Regulatory Elements ◽  
Open Chromatin ◽  
Specific Expression ◽  
Control Of Gene Expression ◽  
Tissue Specific

The mammalian body contains several hundred cell types that share the same genome, but can express distinct gene signatures. This specification of gene expression is achieved through the activity of cis-regulatory genomic elements (CRE), such as enhancers, promoters, and silencers. The Assay for Transposase-Accessible Chromatin followed by sequencing (ATAC-seq) can identify nucleosome evicted open chromatin, an established marker of regulatory regions. Using a differential ATAC-seq approach, coupled with RNA-seq, H3K27ac ChiP-seq, and computational transcription factor (TFs) binding analysis we comprehensively mapped cell-type and condition specific cis regulatory elements for cardiac fibroblasts and cardiomyocytes, and outlined the TFs that control them. We show that in cardiomyocytes six main transcription factor groups, that control their own and each other’s expression, cooperatively bind discrete distal enhancers that are located at a variable distance from the transcription start site of their target genes. None of these factors is entirely tissue specific in expression, yet various combination of binding sites for these factors, densely clustered within a nucleosome length of genomic stretch make these CREs tissue specific. Multiple tissue specific CREs in turn, are clustered around highly tissue specific genes, and multiple factors, acting from the same and from different CREs can converge on these genes to control their tissue specific expression. Together our data puts forward a mechanistic multi-level combinatorial model for cardiac specific genes expression

Review of Progress in Predicting Protein Methylation Sites

2019 ◽  
Vol 23 (15) ◽  
pp. 1663-1670 ◽  
Author(s):  
Chunyan Ao ◽  
Shunshan Jin ◽  
Yuan Lin ◽  
Quan Zou
Keyword(s):  
Gene Expression ◽  
Signal Transduction ◽  
Transcriptional Activity ◽  
Regulation Of Gene Expression ◽  
Protein Methylation ◽  
Biological Processes ◽  
Post Translational Modification ◽  
Regulatory Enzymes ◽  
Lysine Residues ◽  
Arginine Residues

Protein methylation is an important and reversible post-translational modification that regulates many biological processes in cells. It occurs mainly on lysine and arginine residues and involves many important biological processes, including transcriptional activity, signal transduction, and the regulation of gene expression. Protein methylation and its regulatory enzymes are related to a variety of human diseases, so improved identification of methylation sites is useful for designing drugs for a variety of related diseases. In this review, we systematically summarize and analyze the tools used for the prediction of protein methylation sites on arginine and lysine residues over the last decade.

scholarly journals EPCO-31. EPIGENOMIC INTRATUMORAL HETEROGENEITY OF GLIOBLASTOMA IN THREE-DIMENSIONAL SPACE

2020 ◽  
Vol 22 (Supplement_2) ◽  
pp. ii76-ii76
Author(s):  
Radhika Mathur ◽  
Sriranga Iyyanki ◽  
Stephanie Hilz ◽  
Chibo Hong ◽  
Joanna Phillips ◽  
...  
Keyword(s):  
Spatial Organization ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Spatial Location ◽  
Therapy Resistance ◽  
Regulatory Elements ◽  
Chromatin Accessibility ◽  
Intratumoral Heterogeneity ◽  
Tumor Evolution ◽  
Open Chromatin

Abstract Treatment failure in glioblastoma is often attributed to intratumoral heterogeneity (ITH), which fosters tumor evolution and generation of therapy-resistant clones. While ITH in glioblastoma has been well-characterized at the genomic and transcriptomic levels, the extent of ITH at the epigenomic level and its biological and clinical significance are not well understood. In collaboration with neurosurgeons, neuropathologists, and biomedical imaging experts, we have established a novel topographical approach towards characterizing epigenomic ITH in three-dimensional (3-D) space. We utilize pre-operative MRI scans to define tumor volume and then utilize 3-D surgical neuro-navigation to intra-operatively acquire 10+ samples representing maximal anatomical diversity. The precise spatial location of each sample is mapped by 3-D coordinates, enabling tumors to be visualized in 360-degrees and providing unprecedented insight into their spatial organization and patterning. For each sample, we conduct assay for transposase-accessible chromatin using sequencing (ATAC-Seq), which provides information on the genomic locations of open chromatin, DNA-binding proteins, and individual nucleosomes at nucleotide resolution. We additionally conduct whole-exome sequencing and RNA sequencing for each spatially mapped sample. Integrative analysis of these datasets reveals distinct patterns of chromatin accessibility within glioblastoma tumors, as well as their associations with genetically defined clonal expansions. Our analysis further reveals how differences in chromatin accessibility within tumors reflect underlying transcription factor activity at gene regulatory elements, including both promoters and enhancers, and drive expression of particular gene expression sets, including neuronal and immune programs. Collectively, this work provides the most comprehensive characterization of epigenomic ITH to date, establishing its importance for driving tumor evolution and therapy resistance in glioblastoma. As a resource for further investigation, we have provided our datasets on an interactive data sharing platform – The 3D Glioma Atlas – that enables 360-degree visualization of both genomic and epigenomic ITH.

scholarly journals Fos and jun cooperate in transcriptional regulation via heterologous activation domains.

1990 ◽  
Vol 10 (10) ◽  
pp. 5532-5535 ◽  
Author(s):  
C Abate ◽  
D Luk ◽  
E Gagne ◽  
R G Roeder ◽  
T Curran
Keyword(s):  
Gene Expression ◽  
Transcriptional Activation ◽  
Transcriptional Activity ◽  
Regulation Of Gene Expression ◽  
Negative Influence ◽  
Activation Domain ◽  
Activation Domains ◽  
Transcriptional Activation Domain ◽  
Transcriptional Stimulation

The products of c-fos and c-jun (Fos and Jun) function in gene regulation by interacting with the AP-1 binding site. Here we have examined the contribution of Fos and Jun toward transcriptional activity by using Fos and Jun polypeptides purified from Escherichia coli. Fos contained a transcriptional activation domain as well as a region which exerted a negative influence on transcriptional activity in vitro. Moreover, distinct activation domains in both Fos and Jun functioned cooperatively in transcriptional stimulation. Thus, regulation of gene expression by Fos and Jun results from an integration of several functional domains in a bimolecular complex.

A TRIPARTITE CLUSTERING ANALYSIS ON MICRORNA, GENE AND DISEASE MODEL

2012 ◽  
Vol 10 (01) ◽  
pp. 1240007 ◽  
Author(s):  
CHENGCHENG SHEN ◽  
YING LIU
Keyword(s):  
Gene Expression ◽  
Clustering Algorithm ◽  
Target Genes ◽  
Regulation Of Gene Expression ◽  
Disease Model ◽  
Relational Information ◽  
Microrna Gene ◽  
Research Findings ◽  
Family Based

Alteration of gene expression in response to regulatory molecules or mutations could lead to different diseases. MicroRNAs (miRNAs) have been discovered to be involved in regulation of gene expression and a wide variety of diseases. In a tripartite biological network of human miRNAs, their predicted target genes and the diseases caused by altered expressions of these genes, valuable knowledge about the pathogenicity of miRNAs, involved genes and related disease classes can be revealed by co-clustering miRNAs, target genes and diseases simultaneously. Tripartite co-clustering can lead to more informative results than traditional co-clustering with only two kinds of members and pass the hidden relational information along the relation chain by considering multi-type members. Here we report a spectral co-clustering algorithm for k-partite graph to find clusters with heterogeneous members. We use the method to explore the potential relationships among miRNAs, genes and diseases. The clusters obtained from the algorithm have significantly higher density than randomly selected clusters, which means members in the same cluster are more likely to have common connections. Results also show that miRNAs in the same family based on the hairpin sequences tend to belong to the same cluster. We also validate the clustering results by checking the correlation of enriched gene functions and disease classes in the same cluster. Finally, widely studied miR-17-92 and its paralogs are analyzed as a case study to reveal that genes and diseases co-clustered with the miRNAs are in accordance with current research findings.

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