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accession-icon SRP063333
Syncytiotrophoblast generation from human pluripotent stem cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

Purpose: Syncytiotrophoblast (STB) is a multi-nucleated, terminally differentiated syncytium that covers the surface of the villous placenta and forms the major interface with maternal blood. It releases placental hormones and plays a primary role in exchange of gases, nutrients and waste products. Alterations in STB development and turnover have been implicated in placental diseases, including preeclampsia (PE). In vitro cell models are badly needed to study STB development and physiology due to inaccessibility to placental tissues during gestation. To establish in vitro STB model system, we generate STB and its mononucleated precursors from human embryonic stem cells (hESC) and profile for RNA content by RNAseq. Methods: H1 Human ESC (WA01) were treated with BMP4, the ALK4/5/7 inhibitor (A83-01), and the FGF2 signaling inhibitor (PD173074) (BAP) to direct them to the trophoblast lineage and provided both STB and extravillous trophoblast. Syncytial areas emerged at day 8 BAP treatment ranged in diameter from ~40 µm to > 100 µm. The intact syncytial areas were isolated by sieving successively through 70 µm and 40 µm mesh cell strainers. The captured cells are recovered by inverting the strainer and rinsing with culture medium to separate large (>70 µm) and middle size cell sheets (40-70 µm). The fraction that passes through both sieves represents cells of smallest diameter (< 40 µm), presumably cytotrophoblast. Total 12 RNA samples from triplicate three size-fractioned BAP treated and three untreated hESC cultured in a FGF2 supplemented medium in parallel were analyzed. Results: The larger > 70 µm areas stained positively for STB markers while ultrastructural analysis clearly revealed multi-nuclear cells with an extensive cytoplasm containing many prominent secretion granules. The larger STB areas also had a larger DNA content that > 70 µm fraction contained 37 times more nuclear content and 40-70 µm fraction did 16 times more. Compared to the < 40 µm cell fraction, these larger cells over-expressed a full repertoire of genes characteristic of STB, e.g. CGA, CGB, PGF, ERVW1, GCM1. The smallest cell fraction had a DNA content consistent with mononuclear diploid cells, contained few secretory granules, and were only weakly positive for STB markers. Conclusion: The data are consistent with the > 70 µm cells being mature STB, while the intermediate fraction may represent a precursor population. Human ESC directed along the trophoblast lineage by BAP treatment offers a useful model for following STB formation in vitro and suggest that this protocol may have utility in studying the basis of certain placental diseases, especially preeclampsia, where placental tissue isolated at term or after pregnancy terminations can only offer limited information. Overall design: Three size fraction mRNA profiles of syncytial areas emerged at day 8 BAP treatment of hESC were generated by deep sequencing along with untreated hESC, in triplicate, using Illumina HiSeq 2500.

Publication Title

Comparison of syncytiotrophoblast generated from human embryonic stem cells and from term placentas.

Sample Metadata Fields

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accession-icon GSE66339
Sumoylation coordinates repression of inflammatory and anti-viral gene programs during innate sensing
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon 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

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accession-icon GSE66178
Sumoylation-deficient bone marrow derived dendritic cells transcriptomic analysis after LPS stimulation
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon 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

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accession-icon SRP041471
4sUDRB-seq: measuring transcription elongation and initiation genomewide
  • organism-icon Homo sapiens
  • sample-icon 309 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

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

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accession-icon GSE44292
Gene Expression data from mouse bone marrow derived macrophages treated with different inflammatory stimuli
  • organism-icon Mus musculus
  • sample-icon 64 Downloadable Samples
  • Technology Badge Icon 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

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accession-icon SRP049257
A negative feedback loop of transcription factors specifies alternative dendritic cell chromatin states (RNA-Seq)
  • organism-icon Mus musculus
  • sample-icon 48 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq1500

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

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accession-icon GSE45374
Cell-autonomous function of Runx1 transcriptionally regulates megakaryocytic maturation in mice
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon 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

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accession-icon GSE45373
Cell-autonomous function of Runx1 transcriptionally regulates megakaryocytic maturation in mice (expression)
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon 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

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accession-icon SRP049942
Tissue-resident macrophage enhancer landscapes are shaped by the local microenvironment [RNA-seq]
  • organism-icon Mus musculus
  • sample-icon 26 Downloadable Samples
  • Technology Badge IconIllumina 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

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accession-icon SRP047410
Transcription profile of BY4741 (Wild type) during growth in no phosphate medium
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 21 Downloadable Samples
  • Technology Badge IconIllumina 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

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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