Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA390679 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR5689940.fastq.gz | Fastqsanger.gz | |||
| SRR5689950.fastq.gz | Fastqsanger.gz | |||
| SRR5689960.fastq.gz | Fastqsanger.gz | |||
| SRR5689970.fastq.gz | Fastqsanger.gz | |||
| SRR5689980.fastq.gz | Fastqsanger.gz |
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Project description:We report here genome-wide analysis of the tumor suppressor p53 binding sites in normal human cells. 743 high-confidence ChIP-seq peaks representing putative genomic binding sites were identified in normal IMR90 fibroblasts using a reference chromatin sample. More than 40 % were located within 2 kb of a transcription start site (TSS), a distribution similar to that documented for individually studied functional p53 binding sites and to date not observed by previous genome-wide studies. Nearly half of the high-confidence binding sites in the IMR90 cells reside in CpG islands, in marked contrast to sites reported in cancer-derived cells. The distinct genomic features of the IMR90 binding sites do not reflect a distinct preference for specific sequences, since the de novo developed p53 motif based on our study is similar to those reported by genome-wide studies of cancer cells. More likely the different chromatin landscape in normal compared to cancer-derived cells influences p53 binding via modulating availability of the sites. We compared the IMR90 ChIP-seq peaks to the recently published IMR90 methylome1, and demonstrated that they are enriched at hypomethylated DNA. Our study represents the first genome-wide, de novo mapping of p53 binding sites in normal human cells and reveals that p53 binding sites reside in distinct genomic landscapes in normal and cancer-derived human cells. Identification of genomic p53 binding sites in normal human cells by ChIP-seq.
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Project description:The tumor suppressor p53 plays a crucial role in cellular growth control inducing a plethora of cellular response pathways. The molecular mechanisms that discriminate between the distinct p53-responses towards different stress treatments have remained largely elusive. Here, we have analyzed the p53-regulated pathways induced by two chemotherapeutical treatments, Actinomycin D inducing growth arrest and Etoposide resulting in apoptosis. We found that the genome-wide p53-binding patterns are almost identical upon both treatments notwithstanding transcriptional differences that we observed in genome-wide transcriptome analysis. To assess the role of post-translational modifications in target gene choice and activation we investigated the extent of phosphorylation of Serine 46 of p53 bound to DNA (p53-pS46), a modification that has been linked to apoptosis-pathways, and the extent of phosphorylation of Serine 15 (p53-pS15), a general p53-activation mark. Interestingly, the overall extent of S46 phosphorylation of p53 bound to DNA is considerably higher in cells directed towards apoptosis while the degree of phosphorylation at S15 of DNA bound p53 remains highly similar upon both treatments. Moreover, our data suggest that, following different chemotherapeutical treatments, the extent of chromatin-associated p53 phosphorylated at S46 but not at pS15 is higher on certain apoptosis related target genes, including the BAX and PUMA genes. These data provide evidence that cell fate decisions are not made primarily on the level of general p53 DNA-binding, but possibly through post-translational modifications of chromatin bound p53. Microarray analysis (Affymetrix Human Exon array) of the p53 response in U2OS cells treated with either Etoposide or Actinomycin D
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Project description:The tumor suppressor p53 plays a crucial role in cellular growth control inducing a plethora of cellular response pathways. The molecular mechanisms that discriminate between the distinct p53-responses towards different stress treatments have remained largely elusive. Here, we have analyzed the p53-regulated pathways induced by two chemotherapeutical treatments, Actinomycin D inducing growth arrest and Etoposide resulting in apoptosis. We found that the genome-wide p53-binding patterns are almost identical upon both treatments notwithstanding transcriptional differences that we observed in genome-wide transcriptome analysis. To assess the role of post-translational modifications in target gene choice and activation we investigated the extent of phosphorylation of Serine 46 of p53 bound to DNA (p53-pS46), a modification that has been linked to apoptosis-pathways, and the extent of phosphorylation of Serine 15 (p53-pS15), a general p53-activation mark. Interestingly, the overall extent of S46 phosphorylation of p53 bound to DNA is considerably higher in cells directed towards apoptosis while the degree of phosphorylation at S15 of DNA bound p53 remains highly similar upon both treatments. Moreover, our data suggest that, following different chemotherapeutical treatments, the extent of chromatin-associated p53 phosphorylated at S46 but not at pS15 is higher on certain apoptosis related target genes, including the BAX and PUMA genes. These data provide evidence that cell fate decisions are not made primarily on the level of general p53 DNA-binding, but possibly through post-translational modifications of chromatin bound p53. ChIP-seq profiles of p53, p53phosphorylated at Serine 15 (p53-pS15) and p53 phosphorylated at Serine 46 (p53-pS46) in U2OS cells treated with either Actinomycin D or Etoposide.
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Project description:Transcription factors (TFs) can relay signals through temporal alterations in their levels. The cell stress responsive TF p53 exhibits different dynamics depending on the type of stress, which influence the magnitude and dynamics of expression of its target genes and subsequent cellular outcomes. The mechanisms decoding p53 dynamics into levels and dynamics of RNA and protein of its targets remain unclear. We systematically quantified p53 target mRNA and protein levels over time under two p53 dynamical regimes – oscillatory and sustained – using RNA-seq and quantitative mass spectrometry. We categorized the mRNA dynamical patterns arising from oscillatory or sustained p53 expression, as well as the corresponding protein dynamics. We found that in both cases oscillatory dynamics allowed for the greatest variety of dynamical patterns of the downstream species. Target proteins from a wide range of functional categories were induced under both p53 dynamic conditions, with induction levels being overall higher under sustained dynamics. Mathematical modeling combined with analysis of empirical data revealed three mechanisms of decoding p53 dynamics: adjustment of mRNA and protein degradation rates, adjustment of activation thresholds for expression of mRNA and corresponding protein levels, and usage of coherent and incoherent feed-forward loop motifs in generating exclusive responses to p53 oscillatory or sustained dynamics, respectively. Our results highlight the diversity of mechanisms that decode complex TF dynamics into dynamical patterns of mRNA and proteins.
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Project description:The tumor suppressor p53 plays a crucial role in cellular growth control inducing a plethora of cellular response pathways. The molecular mechanisms that discriminate between the distinct p53-responses towards different stress treatments have remained largely elusive. Here, we have analyzed the p53-regulated pathways induced by two chemotherapeutical treatments, Actinomycin D inducing growth arrest and Etoposide resulting in apoptosis. We found that the genome-wide p53-binding patterns are almost identical upon both treatments notwithstanding transcriptional differences that we observed in genome-wide transcriptome analysis. To assess the role of post-translational modifications in target gene choice and activation we investigated the extent of phosphorylation of Serine 46 of p53 bound to DNA (p53-pS46), a modification that has been linked to apoptosis-pathways, and the extent of phosphorylation of Serine 15 (p53-pS15), a general p53-activation mark. Interestingly, the overall extent of S46 phosphorylation of p53 bound to DNA is considerably higher in cells directed towards apoptosis while the degree of phosphorylation at S15 of DNA bound p53 remains highly similar upon both treatments. Moreover, our data suggest that, following different chemotherapeutical treatments, the extent of chromatin-associated p53 phosphorylated at S46 but not at pS15 is higher on certain apoptosis related target genes, including the BAX and PUMA genes. These data provide evidence that cell fate decisions are not made primarily on the level of general p53 DNA-binding, but possibly through post-translational modifications of chromatin bound p53.
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