Analysis of p53 binding sites using multiplex enhancer reporter assays, ChIP-seq data and RNA-seq data. Transcription factors establish and maintain the specific transcriptome of a cell by binding to genomic regulatory regions, thereby regulating the transcription of their target genes. Like many transcription factors, the DNA sequence-specific binding preferences of p53 are known. However, it remains largely unclear what distinguishes functional enhancers from other bound genomic regions that have no regulatory activity. In addition, the genome is scattered with seemingly perfect recognition sequences that remain unoccupied. To disentangle the rules of genome-wide p53 binding, we employed two complementary techniques of multiplex enhancer-reporter assays, one using barcoded reporters and the other using enhancer self-transcription. We compared the activity of more than one thousand candidate p53 enhancers under loss and gain of p53 conditions and identified several hundred high-confidence p53-responsive enhancers. Strikingly, the large majority (99%) of these target enhancers can be characterized and distinguished from negative sequences by the occurrence of a single p53 binding site. By training a machine learning classifier on these data, and integrating the resulting genome-wide predictions with fifteen publicly available human p53 ChIP-seq data sets, we identified a consensus set of 1148 functional p53 binding sites in the human genome. Unexpectedly, this direct p53 cistrome is invariably used between cell types and experimental conditions, while differences between experiments can be largely attributed to indirect non-functional binding. Our data suggest that direct p53 enhancers function in a context-independent manner and do not contain obvious combinatorial complexity of binding sites for multiple transcription factors. They represent a class of unsophisticated cell-autonomous enhancers with a single binding site, distinct from complex developmental enhancers that integrate signals from multiple transcription factors. This suggests that context-dependent regulation of p53 target genes is not encoded in the p53 enhancer, but at different upstream or downstream layers of the cell''s gene regulatory network. Overall design: RNA-seq on MCF7 cells with p53 stable knockdown.
Multiplex enhancer-reporter assays uncover unsophisticated TP53 enhancer logic.
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View SamplesRNA-seq and ChIP-seq on MCF-7 breast cancer cell line upon activation of p53 by the non-genotoxic small molecule Nutlin-3a Overall design: RNA-seq on MCF7 without (NS) or with Nutlin-3a stimulation (S), in duplicate, using illumina HiSeq 2000
iRegulon: from a gene list to a gene regulatory network using large motif and track collections.
Specimen part, Cell line, Subject
View SamplesPeripheral blood neutrophils were isolated from septic patients and treated in vitro with LPS or HMGB1
HMGB1 and LPS induce distinct patterns of gene expression and activation in neutrophils from patients with sepsis-induced acute lung injury.
No sample metadata fields
View SamplesGlucocorticoid excess is linked to central obesity, adipose tissue insulin resistance and type 2 diabetes mellitus. The aim of our study was to investigate the effects of dexamethasone on gene expression in human subcutaneous and omental adipose tissue, in order to identify potential novel mechanisms and biomarkers for glucocorticoid-induced insulin resistance in adipose tissue. Dexamethasone changed the expression of 527 genes in both subcutaneous and omental adipose tissue. FKBP5 and CNR1 were the most responsive genes in both depots (~7-fold increase). Dexamethasone increased FKBP5 gene and protein expression in a dose-dependent manner in both depots, but FKBP5 protein levels were 10-fold higher in omental than subcutaneous adipose tissue. FKBP5 gene expression in subcutaneous adipose tissue was positively correlated with serum insulin, HOMA-IR and subcutaneous adipocyte diameter, while fold change in gene expression by dexamethasone was negatively correlated with clinical markers of insulin resistance, i.e. HbA1c, BMI, HOMA-IR and serum insulin. Only one gene, SERTM1, clearly differed in response to dexamethasone between the two depots. Dexamethasone at high concentrations, influences gene expression in both subcutaneous and omental adipose tissue in a similar pattern and promotes gene expression of FKBP5, a gene that may be implicated in glucocorticoid-induced insulin resistance.
FKBP5 expression in human adipose tissue increases following dexamethasone exposure and is associated with insulin resistance.
Sex, Age, Specimen part
View SamplesBACKGROUND: The transcript levels of many genes exhibit significant variation in tissue samples from inbred laboratory mice. A microarray experiment was designed to separate transcript abundance variation across samples from adipose, heart, kidney, and liver tissues of C57BL/6J mice into within-mouse and between-mouse components. Within-mouse variance captures variation due to heterogeneity of gene expression within tissues, RNA-extraction, and array processing. Between-mouse variance reflects differences in transcript levels between these genetically identical mice. Many biological sources can contribute to heterogeneous transcript levels within a tissue sample including inherent stochasticity of biochemical processes such as intrinsic and extrinsic noise within cells and differences in cell-type composition which can result from heterogeneity of stem and progenitor cell populations. Differences in global signaling patterns between individuals and micro-environmental influences such as interactions with pathogens and cage mates can also contribute to variation, but are likely to contribute more to the between-mouse variance component.
Stochastic variation of transcript abundance in C57BL/6J mice.
Sex, Age, Specimen part
View SamplesAnti-sense non-coding transcripts, genes-within-genes, and convergent gene pairs are prevalent among eukaryotes. The existence of such transcription units raises the question of what happens when RNA polymerase II (RNAPII) molecules collide head-to-head. Here we use a combination of biochemical and genetic approaches in yeast to show that polymerases transcribing opposite DNA strands cannot bypass each other. RNAPII stops, but does not dissociate upon head-to-head collision in vitro, suggesting that opposing polymerases represent insurmountable obstacles for each other. Head-to-head collision in vivo results in RNAPII stopping as well, and removal of collided RNAPII from the DNA template can be achieved via ubiquitylation-directed proteolysis. Indeed, in cells lacking efficient RNAPII poly-ubiquitylation, the half-life of collided polymerases increases, so that these can be detected between convergent genes by ChIP-Seq. These results provide new insight into fundamental mechanisms of gene traffic control, and point to an unexplored effect of anti-sense transcription on gene regulation via polymerase collision. Overall design: Total RNA was extracted from WT or Elongin C deletion mutant (elc1?) cells and strand-specific RNA-Seq was performed. Three biological replicates were performed for WT and elc1?.
RNA polymerase II collision interrupts convergent transcription.
Cell line, Subject
View SamplesNeural progenitor cells (hNPC) derived from the developing human brain can be expanded in culture and subsequently differentiated into neurons and glia. They provide an interesting source of tissue for both modeling brain development and future cellular replacement therapies. It is becoming clear that hNPC are regionally and temporally specified depending on which brain region they were isolated from and its developmental stage. We show here that hNPC derived from the developing cortex (hNPCCTX) and ventral midbrain (hNPCVM) have similar morphological characteristics and express the progenitor cell marker nestin. However, hNPCCTX cultures were highly proliferative and produced large numbers of neurons, while hNPCVM divided slowly and produced less neurons but more astrocytes. Microarray analysis revealed a similar expression pattern for some stemness markers between the two growing cultures, overlaid with a regionally specific profile that identified some important differentially expressed neurogenic transcription factors. By over expressing one of these, the transcription factor ASCL1, we were able to regain neurogenesis from hNPCVM cultures which produced larger neurons with more neurites than hNPCCTX, but no fully mature dopamine neurons. Thus hNPC are regionally specified and can be induced to undergo neurogenesis following genetic manipulation. While this restores neuronal production with a region specific phenotype, it does not restore full neurochemical maturation which may require additional factors.
Regionally specified human neural progenitor cells derived from the mesencephalon and forebrain undergo increased neurogenesis following overexpression of ASCL1.
Specimen part
View SamplesTreatment of gonadectomized mice with estradiol, dihydrotestosterone or vehicle to compare gene expression in gastrocnemius.
Stimulation of both estrogen and androgen receptors maintains skeletal muscle mass in gonadectomized male mice but mainly via different pathways.
Sex, Specimen part, Disease, Compound
View SamplesThese samples have been analyzed for global alternative splicing variation on exon-level expression data using the FIRMA algorithm. We have identified and described transcriptome instability as a genome-wide, pre-mRNA splicing related characteristic of solid cancers.
Transcriptome instability as a molecular pan-cancer characteristic of carcinomas.
Specimen part
View SamplesStaphylococcus aureus enterotoxins cause debilitating systemic inflammatory responses, but how they spread systemically and trigger cascading inflammation is unclear. Here, we showed in mice that after inhalation, Staphylococcus aureus enterotoxin A rapidly entered the bloodstream and induced T cells to orchestrate systemic recruitment of inflammatory monocytes and neutrophils. To study the mechanism used by specific T cells that mediate this process, a systems approach revealed inducible and non-inducible pathways as potential targets. It was found that TNF induced neutrophil entry into the peripheral blood, while CD28 signaling, but not TNF, was needed for chemotaxis of inflammatory monocytes into blood and lymphoid tissue. However, both pathways triggered local recruitment of neutrophils into lymph nodes. Thus, our findings revealed a dual mechanism of monocyte and neutrophil recruitment by T cells relying on overlapping and non-overlapping roles for the non-inducible costimulatory receptor CD28 and the inflammatory cytokine TNF. During sepsis, there might be clinical value in inhibiting CD28 signaling to decrease T cell-mediated inflammation and recruitment of innate cells while retaining bioactive TNF to foster neutrophil circulation. Overall design: The purpose of this analysis was to determine changes in gene expression in SEA-specific Vß3+ T cells and bystander T Vß14+ cells 40 min after SEA or vehicle inhalation.The samples were collected from three independent experiments with total n=3 per group. Three groups of samples were prepared: vehicle Vß3+ T cells, SEA Vß3+ T cells, and SEA Vß14+ T cells.
TNF and CD28 Signaling Play Unique but Complementary Roles in the Systemic Recruitment of Innate Immune Cells after Staphylococcus aureus Enterotoxin A Inhalation.
Specimen part, Cell line, Subject
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