Differential contribution to gene expression prediction of histone modifications at enhancers or promoters
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA633044 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR11794903.fastq.gz | Fastqsanger.gz | |||
| SRR11794904.fastq.gz | Fastqsanger.gz | |||
| SRR11794905.fastq.gz | Fastqsanger.gz | |||
| SRR11794906.fastq.gz | Fastqsanger.gz | |||
| SRR11794907.fastq.gz | Fastqsanger.gz |
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Project description:Whereas the ChIP-seq signal of histone modifications at promoters is reported to be a good predictor of gene expression in different cellular contexts, this question has been poorly addressed for enhancers. Embryonic stem cells (ESCs) ―where the full spectrum of active and repressed (poised) enhancers can be identified― are the appropriate model system to tackle this problem. Since many poised enhancers in ESCs switch towards an active state during differentiation, predictive models can be learnt from poised enhancers throughout differentiation. Modelling gene expression from histone modifications at enhancers will allow us to study the different contribution of promoters and enhancers to gene expression. We have obtained quantitative models to characterize the relationship of gene expression with histone modifications at enhancers or promoters. Remarkably, we have determined that histone modifications at enhancers, as well as promoters, are predictive of gene expression in ESCs and throughout differentiation. The contribution of histone modifications to the predictive models varies depending on their location in enhancers or promoters. We have designed a novel approach based on local regression (LOESS) to normalize sequencing data from different sources, which allowed us to apply predictive models learnt in a specific cellular context to a different one. Therefore, this allowed us to conclude that the relationship between gene expression and histone modifications at enhancers is universal.
2021-08-24 | GSE150633 | GEO
Project description:Transcriptional enhancers play critical roles in regulation of gene expression, but their identification has remained a challenge. Recently, it was shown that enhancers in the mammalian genome are associated with characteristic histone modification patterns, which have been increasingly exploited for enhancer identification. However, only a limited number of histone modifications have previously been investigated for this purpose, leaving the questions answered whether there exist an optimal set of histone modifications that could improve the enhancer prediction. Here, we address this issue by exploring a rich dataset produced by the human Epigenome Roadmap Project. Specifically, we examined genome-wide profiles of 24 histone modifications in human embryonic stem cells and fibroblasts, and developed a Random-Forest based algorithm to integrate histone modification profiles for identification of enhancers.As a training set, we used histone modification profiles at genome-wide binding sites of p300 in the two cell types identified using ChIP-seq. We show that this algorithm not only leads to more accurate and precise prediction of enhancers than previous methods, but also helps identify an optimal set of three chromatin marks for enhancer prediction. ChIP-Seq Analysis of p300 in hESC H1 and IMR90 cells. Sequencing was done on the Illumina Genome Analyzer II platform for the H1 data and Illumina HiSeq for IMR90.Data was mapped to hg18 using Bowtie.
2012-05-09 | E-GEOD-37858 | biostudies-arrayexpress
Project description:Transcriptional enhancers play critical roles in regulation of gene expression, but their identification has remained a challenge. Recently, it was shown that enhancers in the mammalian genome are associated with characteristic histone modification patterns, which have been increasingly exploited for enhancer identification. However, only a limited number of histone modifications have previously been investigated for this purpose, leaving the questions answered whether there exist an optimal set of histone modifications that could improve the enhancer prediction. Here, we address this issue by exploring a rich dataset produced by the human Epigenome Roadmap Project. Specifically, we examined genome-wide profiles of 24 histone modifications in human embryonic stem cells and fibroblasts, and developed a Random-Forest based algorithm to integrate histone modification profiles for identification of enhancers.As a training set, we used histone modification profiles at genome-wide binding sites of p300 in the two cell types identified using ChIP-seq. We show that this algorithm not only leads to more accurate and precise prediction of enhancers than previous methods, but also helps identify an optimal set of three chromatin marks for enhancer prediction.
2012-05-10 | GSE37858 | GEO
Project description:The ChIP-seq signal of histone modifications at promoters is a good predictor of gene expression in different cellular contexts, but whether this is also true at enhancers is not clear. To address this issue, we develop quantitative models to characterize the relationship of gene expression with histone modifications at enhancers or promoters. We use embryonic stem cells (ESCs), which contain a full spectrum of active and repressed (poised) enhancers, to train predictive models. As many poised enhancers in ESCs switch towards an active state during differentiation, predictive models can also be trained on poised enhancers throughout differentiation and in development. Remarkably, we determine that histone modifications at enhancers, as well as promoters, are predictive of gene expression in ESCs and throughout differentiation and development. Importantly, we demonstrate that their contribution to the predictive models varies depending on their location in enhancers or promoters. Moreover, we use a local regression (LOESS) to normalize sequencing data from different sources, which allows us to apply predictive models trained in a specific cellular context to a different one. We conclude that the relationship between gene expression and histone modifications at enhancers is universal and different from promoters. Our study provides new insight into how histone modifications relate to gene expression based on their location in enhancers or promoters.
| S-EPMC8443064 | biostudies-literature
Project description:Eukaryotic gene regulatory information is contained within the DNA sequences of cis-regulatory elements and the epigenetic features of the chromatin surrounding these elements. Recent investigations in yeast, fly, and mammalian systems have made significant contributions toward our understanding of the relationship between gene activation and chromatin architecture at transcriptional promoters, but much work remains to improve our knowledge of this relationship at human promoters and other transcriptional regulatory elements, such as enhancers. Here, we report that human promoters and enhancers are associated with distinct chromatin signatures that can be employed to predict these classes of regulatory elements in the human genome. Using a combination of chromatin immunoprecipitation (ChIP) and microarray (ChIP-chip) experiments, we generated high-resolution maps of the chromatin architecture along 30 Mbp of the human genome, located promoters and enhancers in these regions, and characterized the histone modification features of these regulatory elements. We found that active promoters are marked by tri-methylation of histone H3 lysine 4 (H3K4me3) at the transcriptional start site (TSS) and mono-methylation of this residue (H3K4me1) downstream and upstream of the TSS. In contrast, enhancers are marked by H3K4me1 but not H3K4me3. Both types of regulatory elements are also associated with nucleosome depletion and varying degrees of histone acetylation and H3K4me2. We developed computational prediction algorithms that employ the distinct chromatin signatures to identify new promoters and enhancers, predicting over 200 promoters and 400 enhancers within the 30 Mbp regions. This approach correctly predicted over 84% of the regulatory elements identified in an independent, unbiased study of transcription factor binding in the same regions. Our results suggest a histone code for distinct classes of transcriptional regulatory elements, offering insights into the functional relationships between chromatin modifications and regulatory activity in human cells and providing a new resource for the functional annotation of the human genome. Keywords: ChIP-chip
2007-01-01 | GSE6273 | GEO
Project description:Repurposing of promoters and enhancers during mammalian evolution
| PRJNA470431 | ENA
Project description:Recent works have shown that RNA Polymerase (Pol) II can be recruited to, and transcribe, distal regulatory regions. Here, we analyzed transcription initiation and elongation through genome-wide localization of Pol II, General Transcription Factors (GTFs) and active chromatin in developing T-cells. We show that Pol II and GTFs are recruited to known, highly T-cell-specific enhancers. We extend this observation for the first time to many new putative enhancers, a majority of which are transcribed with or without polyadenylation. Importantly, we also identify genomic features characterized by large Pol II/GTFs recruitment and Transcriptional Initiation Platforms (TIPs) at promoters, intergenic and intragenic regions. TIPs are characterized by variable widths (0.4 to 10 kb), and correlate with high CpG content and tissue-specificity at promoters. Finally, we also report differential recruitment of TFIID and other GTFs at promoters and enhancers. Overall, we propose that TIPs represent important novel regulatory hallmarks of the genome. This study is based on the analysis of 20 samples in mouse double-positive thymocytes, 15 of which cover a range of general and specific transcription factors, chromatin modifying enzymes as well as histone modifications. 2 samples were dedicated for strand-specific RNA sequencing either from the total RNA population or after a selection of Poly(A) RNA. A Formaldehyde-Assisted Isolation of Regulatory Elements (FAIRE) sample has been sequenced in order to isolate open chromatin regions. Finally, input and IG control samples were designed and sequenced for data processing purposes. Biological and technical replicates were processed as described in the supplementary methods.
2011-05-20 | E-GEOD-29362 | biostudies-arrayexpress
Project description:RB’s interaction with chromatin is key to understanding its molecular functions. Using a novel ChIP-sequencing protocol, we identify the precise chromatin loci bound by various forms of human RB. RB targets three fundamentally different types of loci (promoters, enhancers, CTCF-sites), that are largely distinguishable by the mutually exclusive presence of E2F1, c-JUN and CTCF. E2F/DP facilitates RB association with promoters, whereas AP-1 recruits RB to enhancers. RB’s association with promoters and enhancers fluctuates: G1-arrest enriched RB at promoters, while S-phase progression redistributed RB towards enhancers. RB binding to RB/CTCF sites was unaltered by cell cycle progression. RB-bound promoters include the classic E2F targets and are similar between cell types. However, RB-bound enhancers are associated with different gene categories, including, notably, MAPK signaling, and they vary between cell types. We propose that RB has a well-preserved role controlling E2F in G1, and cell type-specific effects at enhancers when cells enter S-phase.
2022-08-01 | GSE176035 | GEO
Project description:Epigenetic regulation of gene expression is tightly controlled by the dynamic modification of histones by chemical groups, the diversity of which has largely expanded over the past decade with the discovery of lysine acylations, catalyzed from acyl-coenzymes A. Here, we investigated the dynamics of lysine acetylation and crotonylation on histones H3 and H4 during mouse spermatogenesis. Lysine crotonylation appeared to be of significant abundance compared to acetylation, particularly on Lys27 of histone H3 (H3K27cr) that accumulates in sperm in a cleaved form of H3. We identified the genomic localization of H3K27cr and studied its effects on transcription compared to the classical active mark H3K27ac at promoters and distal enhancers. The presence of both marks was strongly associated with highest gene expression. Assessment of their co-localization with transcription regulators (SLY, SOX30) and chromatin-binding proteins (BRD4, BORIS and CTCF) indicated systematic highest binding when both active marks were present and different selective binding when present alone at chromatin. H3K27cr and H3K27ac finally mark the building of some sperm super-enhancers. This integrated analysis of omics data provides an unprecedented level of understanding of gene expression regulation by H3K27cr in comparison to H3K27ac, and reveals both synergistic and specific actions of each histone modification.
2020-03-26 | PXD015380 | Pride
Project description:Despite the conventional distinction between promoters and enhancers, they share many features in mammals, including divergent transcription and similar modes of transcription factor (TF) binding. Here, we examine the architecture of transcription initiation genome-wide through comprehensive mapping of transcription start sites (TSSs) in human lymphoblastoid B-cell (GM12878) and chronic myelogenous leukemic (K562) tier 1, ENCODE cell lines using a nuclear run-on protocol called GRO-cap. This method captures TSSs for both stable and unstable transcripts, thus allowing us to conduct detailed comparisons between thousands of promoters and enhancers in human cells. These analyses reveal a common architecture of initiation at both promoters and enhancers, including tightly spaced (110 bp) divergent initiation that features similar frequencies of core-promoter sequence elements, highly-positioned flanking nucleosomes, and two modes of TF binding. Transcript elongation stability, a feature determined after transcription initiation, provides a more fundamental distinction between promoters and enhancers than the relative abundance of histone modifications and the presence of TFs or coactivators. These results support a unified model of transcription initiation at both promoters and enhancers.
2014-11-10 | GSE60454 | GEO