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GSE66339
Mus musculus
18 Downloadable Samples
Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Sumoylation coordinates the repression of inflammatory and anti-viral gene-expression programs during innate sensing.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 18 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
Bone marrow derived dendritic cells were generated from Ubc9[fl;-] and Ubc9[+/+] mice. After in vitro derivation in the presence of GM-CSF, dendritic cells were treated with tamoxifen for four days to cause CreERT2 activation, and induce Ubc9 floxed allele deletion. This allowed comparative transcriptomic analysis of Ubc9[+/+] and Ubc9[-/-] dendritic cells unstimulated or stimulated with 10ng/ml LPS for one hour and six hours.
Publication Title
Sumoylation coordinates the repression of inflammatory and anti-viral gene-expression programs during innate sensing.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 309 Downloadable Samples
IlluminaHiSeq2500
Description
A new method to measure elongation and intitiation rates Overall design: Reversal inhibition of transcription with DRB and tagging newly transcribed RNA with 4-thiouridine (4sU)
Publication Title
4sUDRB-seq: measuring genomewide transcriptional elongation rates and initiation frequencies within cells.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 64 Downloadable Samples
- Affymetrix Mouse Gene 1.1 ST Array (mogene11st)
Description
The activation profiles of macrophages under different immune and inflammatory conditions have generated great interest. LPS, in particular, is a commonly used in vitro model of infection and inflammation studies in macrophages. We have used gene expression microarrays to define the effects of each of three variables; LPS dose, LPS vs. interferons beta and gamma, and genetic background on the transcriptional response of mouse bone marrow-derived macrophages
Publication Title
Analysis of the transcriptional networks underpinning the activation of murine macrophages by inflammatory mediators.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 48 Downloadable Samples
- IlluminaHiSeq1500
Description
During hematopoiesis, cells originating from the same stem cell reservoir differentiate into distinct cell types. The mechanisms enabling common progenitors to differentiate into distinct cell fates are not fully understood. Here, we identify chromatin-regulating and cell-fate-determining transcription factors (TF) governing dendritic cell (DC) development by annotating the enhancer and promoter landscapes of the DC lineage. Combining these analyses with detailed over-expression, knockdown and ChIP-Seq studies, we show that Irf8 functions as a plasmacytoid DC epigenetic and fate-determining TF, regulating massive, cell-specific chromatin changes in thousands of pDC enhancers. Importantly, Irf8 forms a negative feedback loop with Cebpb, a monocyte-derived DC epigenetic fate-determining TF. We show that using this circuit logic, differential activity of TF can stably define epigenetic and transcriptional states, regardless of the microenvironment. More broadly, our study proposes a general paradigm that allows closely related cells with a similar set of signal-dependent factors to generate differential and persistent enhancer landscapes. Overall design: Here analyzed 2 experiments, each one contains samples of moDC and pDC ex vivo cultured cells. The first experiment contains 32 samples of moDC and pDC following stimulation with various TLR stimulators. The second experiment contains 8 samples of moDC and pDC following perturbations; Cebpb and Irf8 knock down or over expression.
Publication Title
A negative feedback loop of transcription factors specifies alternative dendritic cell chromatin States.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 6 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Cell-autonomous function of Runx1 transcriptionally regulates mouse megakaryocytic maturation.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 6 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
RUNX1 transcription factor (TF) is a key regulator of megakaryocytic development and when mutated is associated with familial platelet disorder and predisposition to acute myeloid leukemia (FPD-AML). We used mice lacking Runx1 specifically in megakaryocytes (MKs) to characterize the Runx1-mediated transcriptional program during advanced stages of MK differentiation. Gene expression and chromatin-immunoprecipitation-sequencing (ChIP-seq) of Runx1 andp300identified functional Runx1-bound MK enhancers. Runx1/p300 co-bound regions showed significant enrichment in genes important for MK and platelet homeostasis. Runx1-bound regions were highly enriched in RUNX and ETS motifs and to a lesser extent in GATA motif.The data providesthe first example of genome-wide Runx1/p300 occupancy in maturating FL-MK,unravels the Runx1-regulated program controlling MK maturationin vivoandidentifies itsbona fideregulated genes. It advances our understandingof the molecular events that upon mutations in RUNX1 lead to thepredisposition to familial platelet disorders and FPD-AML.
Publication Title
Cell-autonomous function of Runx1 transcriptionally regulates mouse megakaryocytic maturation.
Sample Metadata Fields
Specimen part
View Samples- Mus musculus
- 26 Downloadable Samples
- Illumina HiSeq 1500
Description
Macrophages are hematopoietic cells critical for innate immune defense, but also control organ homeostasis in a tissue-specific manner. Tissue-resident macrophages, therefore, provide a well-defined model to study the impact of ontogeny and microenvironment on chromatin state. Here, we profile the dynamics of four histone modifications across seven tissue-resident macrophage populations, as well as monocytes and neutrophils. We identify 12,743 macrophage-specific enhancers and establish that tissue-resident macrophages have distinct enhancer landscapes. Our work suggests that a combination of tissue and lineage-specific transcription factors form the regulatory networks controlling chromatin specification in tissue-resident macrophages. The environment has the capacity to alter the chromatin landscape of macrophages derived from transplanted adult bone marrow in vivo and even differentiated macrophages are reprogramed when transferred into a new tissue. Altogether, these data provide a comprehensive view of macrophage regulation and highlight the importance of microenvironment along with pioneer factors in orchestrating macrophage identity and plasticity. Overall design: 7 tissue-resident macrophage populations were isolated, as well as monocytes and neutrophils, and transcriptome analysis was performed. Experiment was done in duplicates.
Publication Title
Tissue-resident macrophage enhancer landscapes are shaped by the local microenvironment.
Sample Metadata Fields
No sample metadata fields
View Samples- Saccharomyces cerevisiae
- 21 Downloadable Samples
- Illumina HiSeq 2500
Description
Depletion of essential nutrients triggers regulatory programs that prolong cell growth and survival. Starvation-induced processes increase nutrient transport, mobilize nutrient storage, and recycle nutrients between cellular components. This leads to an effective increase in intracellular nutrients, which may act as a negative feedback that down-regulates the starvation program. To examine how cells overcome this potential instability, we followed the transcription response of budding yeast transferred to medium lacking phosphate. Genes were induced in two temporal waves. The first wave was stably maintained and persisted even upon phosphate replenishment, indicating a positive feedback loop. This commitment was abolished after two hours with the induction of the second expression wave, coinciding with the reduction in cell growth rate. We identify genes that mediate this loss of commitment, and show that the overall temporal stability of the expression response depends on the sequential pattern of gene induction. Our results emphasize the key role of gene expression dynamics in optimizing cellular adaptation. Wild type cells were grown at high Phosphate medium, washed and transferred to no phosphate medium. Sample were taken every 15 minuets for 6 hours Overall design: 25 samples were taken during the time course. Expression data was normalized to the first time point (cells grown at high phosphate medium)
Publication Title
Sequential feedback induction stabilizes the phosphate starvation response in budding yeast.
Sample Metadata Fields
Subject
View Samples- Saccharomyces cerevisiae
- 25 Downloadable Samples
- Illumina HiSeq 2500
Description
Depletion of essential nutrients triggers regulatory programs that prolong cell growth and survival. Starvation-induced processes increase nutrient transport, mobilize nutrient storage, and recycle nutrients between cellular components. This leads to an effective increase in intracellular nutrients, which may act as a negative feedback that down-regulates the starvation program. To examine how cells overcome this potential instability, we followed the transcription response of budding yeast transferred to medium lacking phosphate. Genes were induced in two temporal waves. The first wave was stably maintained and persisted even upon phosphate replenishment, indicating a positive feedback loop. This commitment was abolished after two hours with the induction of the second expression wave, coinciding with the reduction in cell growth rate. We identify genes that mediate this loss of commitment, and show that the overall temporal stability of the expression response depends on the sequential pattern of gene induction. Our results emphasize the key role of gene expression dynamics in optimizing cellular adaptation. ?phm3 cells were grown at high Phosphate medium, washed and transferred to no phosphate medium. Sample were taken every 15 minuets for 6 hours Overall design: 25 samples were taken during the time course. Expression data was normalized to the first time point (cells grown at high phosphate medium)
Publication Title
Sequential feedback induction stabilizes the phosphate starvation response in budding yeast.
Sample Metadata Fields
Subject
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