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accession-icon GSE45285
Regulation of constitutive and alternative splicing by PRMT5 reveals a role for Mdm4 pre-mRNA in sensing defects in the spliceosomal machinery
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Regulation of constitutive and alternative splicing by PRMT5 reveals a role for Mdm4 pre-mRNA in sensing defects in the spliceosomal machinery.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE45269
Regulation of constitutive and alternative splicing by PRMT5 reveals a role for Mdm4 pre-mRNA in sensing defects in the spliceosomal machinery (BeadChip)
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

Protein Arginine MethylTransferase 5 (PRMT5) is known to mediate epigenetic control on chromatin and to functionally regulate components of the splicing machinery. In this study we show that selective deletion of PRMT5 in different organs leads to cell cycle arrest and apoptosis. At the molecular level, PRMT5 depletion results in reduced methylation of Sm proteins, aberrant constitutive splicing and in the Alternative Splicing (AS) of specific mRNAs. We identify Mdm4 as one of these mRNAs, which due to its weak 5-Donor site, acts as a sensor of splicing defects and transduces the signal to activate the p53 response, providing a mechanistic explanation of the phenotype observed in PRMT5 conditional knockout mice. Our data demonstrate a key role of PRMT5, together with p53, as guardians of the transcriptome. This will have fundamental implications in our understanding of PRMT5 activity, both in physiological conditions, as well as pathological conditions, including cancer and neurological diseases.

Publication Title

Regulation of constitutive and alternative splicing by PRMT5 reveals a role for Mdm4 pre-mRNA in sensing defects in the spliceosomal machinery.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon SRP052753
Two-signal requirement for growth-promoting function of Yap
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The transcriptional coactivator Yap promotes proliferation and inhibits apoptosis, suggesting that Yap functions as an oncogene. Most oncogenes, however, require a combination of at least two signals to promote proliferation. Here we present evidence that Yap activation is insufficient to promote growth in the otherwise normal tissue. Using a mosaic mouse model, we demonstrate that Yap overexpression in a fraction of hepatocytes does not lead to their clonal expansion, as proliferation is counterbalanced by increased apoptosis. To shift the activity of Yap towards growth, a second signal provided by tissue damage or inflammation is required. In response to liver injury, Yap drives clonal expansion, suppresses hepatocyte differentiation and promotes a progenitor phenotype. These results suggest that Yap activation is insufficient to promote growth in the absence of a second signal thus coordinating tissue homeostasis and repair. Overall design: Totally sixteen samples

Publication Title

Two-signal requirement for growth-promoting function of Yap in hepatocytes.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE68580
caArray_bonda-00136: Molecular basis of age associated cytokine dysregulation in LPS stimulated macrophages
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Aged humans and rodents are susceptible to infection with Streptococcus pneumoniae bacteria as a result of an inability to make antibodies to capsular polysaccharides. This is partly a result of decreased production of proinflammatory cytokines and increased production of interleukin (IL)-10 by macrophages (Mphi) from aged mice. To understand the molecular basis of cytokine dysregulation in aged mouse Mphi, a microarray analysis was performed on RNA from resting and lipopolysaccharide (LPS)-stimulated Mphi from aged and control mice using the Affymetrix Mouse Genome 430 2.0 gene chip. Two-way ANOVA analysis demonstrated that at an overall P < 0.01 level, 853 genes were regulated by LPS (169 in only the young, 184 in only the aged, and 500 in both). Expression analysis of systematic explorer revealed that immune response (proinflammatory chemokines, cytokines, and their receptors) and signal transduction genes were specifically reduced in aged mouse Mphi. Accordingly, expression of Il1 and Il6 was reduced, and Il10 was increased, confirming our previous results. There was also decreased expression of interferon-gamma. Genes in the Toll-like receptor-signaling pathway leading to nuclear factor-kappaB activation were also down-regulated but IL-1 receptor-associated kinase 3, a negative regulator of this pathway, was increased in aged mice. An increase in expression of the gene for p38 mitogen-activated protein kinase (MAPK) was observed with a corresponding increase in protein expression and enzyme activity confirmed by Western blotting. Low doses of a p38 MAPK inhibitor (SB203580) enhanced proinflammatory cytokine production by Mphi and reduced IL-10 levels, indicating that increased p38 MAPK activity has a role in cytokine dysregulation in the aged mouse Mphi.

Publication Title

Molecular basis of age-associated cytokine dysregulation in LPS-stimulated macrophages.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE53503
YY1 is indispensable for Lgr5+ intestinal stem cell renewal
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

YY1 is indispensable for Lgr5+ intestinal stem cell renewal.

Sample Metadata Fields

Specimen part

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accession-icon GSE53496
Expression profiling in control and YY1 knockout mouse intestinal crypt epithelia
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Crypts were isolated from either control or YY1f/f; Vil-Cre-ERT2 mice treated with tamoxifen for 4 days to induce knockout

Publication Title

YY1 is indispensable for Lgr5+ intestinal stem cell renewal.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE34014
Gene expression profiling and ChIP-Seq study of HoxB4-mediated HSC development from ES cells
  • organism-icon Mus musculus
  • sample-icon 12 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

Dynamic HoxB4-regulatory network during embryonic stem cell differentiation to hematopoietic cells.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE33953
Time-course transcriptome measure of HoxB4-mediated HSC development from ES cells
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Efficient in vitro generation of hematopoietic stem cells (HSCs) from embryonic stem cells (ESCs) holds great promise for cell-based therapies of hematological diseases. To date, HoxB4 remains to be the most effective transcription factor (TF) whose over-expression in ESCs confers long-term repopulating ability to ESC-derived HSCs. Despite its importance, the components and dynamics of the HoxB4 transcriptional regulatory network is poorly understood, hindering efforts to develop a more efficient protocol for in vitro derivation of HSCs. Towards this goal, we performed global gene expression profiling and chromatin immunoprecipitation coupled with deep sequencing (ChIP-Seq) at four stages of the HoxB4-mediated HSC development. Joint analyses of ChIP-Seq and gene expression profiles unveil a number of global features of the HoxB4 regulatory network.

Publication Title

Dynamic HoxB4-regulatory network during embryonic stem cell differentiation to hematopoietic cells.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP092769
Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type and Pax9-/- Palate shelves Transcriptomes
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Nonsyndromic clefts of the palate and/or lip are common birth defects arising in about 1/700 live births worldwide. They are caused by multiple genetic and environmental factors, can only be corrected surgically and require complex post-operative care that imposes significant burdens on individuals and society. Our understanding of the molecular networks that control palatogenesis has advanced through studies on mouse genetic models of cleft palate. In particular, the transcription factor Pax9 regulates palatogenesis through the Bmp, Fgf and Shh pathways in mice. But there is still much to learn about Pax9's relationship with other signaling pathways in this process. Expression analyses and unbiased gene expression profiling studies offer a molecular explanation for the resolution of palatal defects by showing that Wnt and Eda/Edar-related genes are expressed in normal palatal tissues and that the Wnt and Eda/Edar signaling pathway is downstream of Pax9 in palatogenesis. Overall design: E13.5 mouse embryos palate were micro-dissceted, control and mutant samples were seperated and individually lyzed for the RNA extraction.

Publication Title

Small-molecule Wnt agonists correct cleft palates in <i>Pax9</i> mutant mice <i>in utero</i>.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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accession-icon SRP142313
Paneth cells acquire multi-potency upon Notch activation after irradiation
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconNextSeq 550

Description

In murine models, we find that irradiation of Paneth cells caused a gain of a stem cell-like transcriptome and induced activation of the Notch signaling pathway. This study documents plasticity by Paneth cells, a fully committed cell population to participate in epithelial replenishment following stem cell loss. Overall design: Single-cell dissociation was carried out as previously described (Li et al., 2016; Sato et al., 2011). Cell pellets were washed with cold PBS and re-suspended in FACS buffer. Cells were stained with DAPI, PerCP/Cy5.5-conjugated EpCAM, BUV395-conjugated CD45, and APC/fire 750-conjugated CD24. Cell suspensions were subjected to sorting by BD Biosciences Aria II Flow Cytometer. Single viable intestinal epithelial cells were gated by forward scatter, side scatter, and by negative staining for DAPI and CD45, and positive staining for EpCAM. Subpopulations were further gated based on CD24 and tdTomato (using R-phycoerythrin/PE channel). Paneth cells (tdT+CD24+) and derivative (tdT+CD24-) cells were FACS-sorted from irradiated (5 days after radiation) and non-irradiated 8-14 week old Lyz1CreER; R26R-tdT mice with one dose of tamoxifen adminstration (10mg/mouse), and subjected to total RNA extraction using Qiagen RNeasy Plus Micro kit.

Publication Title

Paneth Cell Multipotency Induced by Notch Activation following Injury.

Sample Metadata Fields

Specimen part, 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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