Whole genome sequencing of multiple myeloma identifies novel structural and non-coding mutations.
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PROVIDER: EGAS00001003164 | EGA |
REPOSITORIES: EGA
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Project description:Here we have used a combination of advanced proteomics and genomics approaches to investigate the extent and mechanisms of transcription factor cross-talk at genomic hotspots. We identify ~12,000 transcription factor hotspots in the early phase of adipogenesis, and we find evidence of both simultaneous and sequential binding of transcription factors at these regions. We demonstrate for the first time that hotspots are highly enriched in large super-enhancer regions and that these drive the early adipogenic reprogramming of gene expression. Our results indicate that cooperativity between transcription factors at the level of hotspots as well as super-enhancers is very important for enhancer activity and transcriptional reprogramming. Thus, hotspots and super-enhancers constitute important regulatory hubs integrating external stimuli on chromatin. Genome-wide profiling of transcription factor and co-factor binding, epigenomic marks, and gene expression in 3T3-L1 pre-adipocytes.
2014-04-17 | E-GEOD-56872 | biostudies-arrayexpress
Project description:Here we have used a combination of advanced proteomics and genomics approaches to investigate the extent and mechanisms of transcription factor cross-talk at genomic hotspots. We identify ~12,000 transcription factor hotspots in the early phase of adipogenesis, and we find evidence of both simultaneous and sequential binding of transcription factors at these regions. We demonstrate for the first time that hotspots are highly enriched in large super-enhancer regions and that these drive the early adipogenic reprogramming of gene expression. Our results indicate that cooperativity between transcription factors at the level of hotspots as well as super-enhancers is very important for enhancer activity and transcriptional reprogramming. Thus, hotspots and super-enhancers constitute important regulatory hubs integrating external stimuli on chromatin.
2014-04-17 | GSE56872 | GEO
Project description:With H3K27ac chromatin immunoprecipitation we identified a disease-specific, inflammation-associated, (super-)enhancer signature in JIA patient synovial fluid-derived CD4+ memory/effector T cells. This signature consists of unique pathogenesis-associated epigenetic changes which extend beyond general T cell activation-induced alterations, indicating that disease-specific (super-)enhancers contribute to JIA pathogenesis. In addition, our analysis shows that there is a profound enrichment of JIA-related SNPs in (super-)enhancers in JIA patients compared to controls, illustrating the importance of these non-coding regions for disease pathogenesis. H3K27ac ChIP-sequencing of CD4+ memory/effector T cells derived from peripheral blood (PB) from healthy controls (HC) and PB or synovial fluid (SF) from JIA patients.
2015-09-15 | E-GEOD-71596 | biostudies-arrayexpress
Project description:The long non-coding RNA Malat1 has been implicated in several human cancers, while the mechanism of action is not completely understood. As RNAs in cells function in the context of RBPs identification of their RNA-binding proteins can shed light on their functionality. We here performed quantitative interactomics of 14 non-overlapping fragments covering the full length of Malat1 to identify possible nuclear interacting proteins. Overall, we identified 35 candidates including 14 already known binders, which are able to interact with Malat1 in the nucleus. Furthermore, the use of fragments along the full-length RNA allowed us to reveal two hotspots for protein binding, one in the 5’-region and one in the 3’-region of Malat1. Our results provide confirmation on previous RNA-protein interaction studies and suggest new candidates for functional investigations.
2020-01-29 | PXD017309 | Pride
Project description:Tissue-specific driver mutations in non-coding genomic regions remain undefined for most cancer types. In this study, we unbiasedly analysed 212 gastric cancer whole genomes to identify recurrently mutated non-coding regions in gastric cancer. Applying comprehensive statistical approa- ches to accurately model background mutational processes, we observe significant enrich- ment of non-coding indels (insertions/deletions) in three gastric lineage-specific genes. We further identify 34 mutation hotspots, of which 11 overlap CTCF binding sites (CBSs).
| EGAS00001002872 | EGA
Project description:We recently developed high-throughput sequencing approaches, eXcision Repair sequencing (XR-seq) and Damage-seq, to generate genome-wide mapping of DNA damage formation and excision repair, respectively, with single-nucleotide resolution. Here, we adopted time-course XR-seq data to profile UV-induced excision repair dynamics, paired with Damage-seq data to quantify the overall induced DNA damage. We identified genome-wide repair hotspots that are subject to exemplified amount of repair very soon after UV irradiation. We show that such repair hotspots do not result from hypersensitivity to DNA damage and are thus not damage hotspots. We find that the earliest repair occur preferentially in promoters and enhancers from open-chromatin regions. The repair hotspots are also significantly enriched for frequently interacting regions and super-enhancers, both of which are hotspots for local chromatin interactions. We further extend the interrogation of chromatin organization to DNA replication timing and conclude that early-repair hotspots are enriched for early-replication domains. Collectively, we report genome-wide early-repair hotspots of UV-induced damage, in association with chromatin states and epigenetic compartmentalization of the human genome.
2020-04-09 | GSE148303 | GEO
Project description:Background: Previous expression quantitative trait loci (eQTL) studies have identified thousands of genetic variants to be associated with gene expression at the mRNA level in the human liver. However, protein expression often correlates poorly with mRNA levels. Thus, protein quantitative trait loci (pQTL) study is required to identify genetics variants that regulate protein expression in human livers. Results: We conducted a genome-wide pQTL study in 287 normal human liver samples and identified 900 local-pQTL variants and 4,026 distant-pQTL variants. We further discovered 53 genome hotspots of pQTL variants. Transcriptional region mapping analysis showed that 1,133 pQTL variants are in transcriptional regulatory regions. Genomic region enrichment analysis of the identified pQTL variants revealed 804 potential regulatory interactions among 595 regulators (e.g. non-coding RNAs) and 394 proteins. Moreover, pQTL variants and trait-variant integration analysis uncovered several novel mechanisms underlying the relationships between protein expression and liver diseases, such as alcohol dependence. Notably, over 2,000 of the identified pQTL variants have not been reported in previous eQTL studies, suggesting extensive involvement of genetic polymorphisms in post-transcriptional regulation of protein expression in human livers. Conclusions: We have partially established protein expression regulation networks in human livers and generated a wealth of pQTL data that could serve as a valuable resource for the scientific community.
2020-07-21 | PXD019169 | Pride
Project description:With H3K27ac chromatin immunoprecipitation we identified a disease-specific, inflammation-associated, (super-)enhancer signature in JIA patient synovial fluid-derived CD4+ memory/effector T cells. This signature consists of unique pathogenesis-associated epigenetic changes which extend beyond general T cell activation-induced alterations, indicating that disease-specific (super-)enhancers contribute to JIA pathogenesis. In addition, our analysis shows that there is a profound enrichment of JIA-related SNPs in (super-)enhancers in JIA patients compared to controls, illustrating the importance of these non-coding regions for disease pathogenesis.
2015-09-15 | GSE71596 | GEO
Project description:Homologous recombination is the key process that generates genetic diversity and drives evolution. SPO11 protein triggers recombination by introducing DNA double stranded breaks at discreet areas of the genome called recombination hotspots. The hotspot locations are largely determined by the DNA binding specificity of the PRDM9 protein in human, mice and most other mammals. In budding yeast Saccharomyces cerevisae, which lacks a Prdm9 gene, meiotic breaks are formed opportunistically in the regions of accessible chromatin, primarily at gene promoters. The genome-wide distribution of hotspots in this organism can be altered by tethering Spo11 protein to Gal4 recognition sequences in the strain expressing Spo11 attached to the DNA binding domain of the Gal4 transcription factor. To establish whether similar re-targeting of meiotic breaks can be achieved in PRDM9-containing organisms we have generated a Gal4BD-Spo11 mouse that expresses SPO11 protein joined to the DNA binding domain of yeast Gal4. We have mapped the genome-wide distribution of the recombination initiation sites in the Gal4BD-Spo11 mice. More than two hundred of the hotspots in these mice were novel and were likely defined by Gal4BD, as the Gal4 consensus motif was clustered around the centers in these hotspots. Surprisingly, meiotic DNA breaks in the Gal4BD-Spo11 mice were significantly depleted near the ends of chromosomes. The effect is particularly striking at the pseudoautosomal region of the X and Y chromosomes – normally the hottest region in the genome. Our data suggest that specific, yet-unidentified factors influence the initiation of meiotic recombination at subtelomeric chromosomal regions. Detection of meiotic double strand breaks in mice with a hypomorphic Spo11 allele.
2013-09-11 | E-GEOD-48493 | biostudies-arrayexpress
Project description:Super-enhancers (SEs) are cis-regulatory elements enriching lineage specific key transcription factors (TFs) to form hotspots. A paucity of identification and functional dissection promoted us to investigate SEs during myoblast differentiation. ChIP-seq analysis of histone marks leads to the uncovering of SEs which remodel progressively during the course of differentiation. Further analyses of TF ChIP-seq enable the definition of SE hotspots co-bound by the master TF, MyoD and other TFs, among which we perform in-depth dissection for MyoD/FoxO3 interaction in driving the hotspots formation and SE activation.
2017-06-02 | GSE93916 | GEO