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accession-icon SRP080939
RNA-seq of N2a cells treated with 100 nM Dexamethasone for 4 hours +/- siARGLU1
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

ARGLU1 was identified in a screen for new modulators of glucocorticoid signaling in the CNS. RNA-seq of neuronal cells ±siARGLU1 revealed significant changes in the expression and alternative splicing of distinct genes involved in neurogenesis. Treatment with dexamethasone, a GR activator, also induced changes in the pattern of alternatively spliced genes, highlighting an underappreciated global mechanism of glucocorticoid action in neuronal cells. Thus, in addition to its basal role, ARGLU1 links glucocorticoid-mediated transcription and alternative splicing in neural cells, providing new avenues from which to investigate the molecular underpinnings of cognitive stress disorders. Overall design: N2a cells were transfected with non-targeting control and ARGLU1 siRNAs for 48 hrs followed by Vehicle (EtOH) or 100 nM Dexamethasone treatment for 4 hrs. RNA was extracted and pooled by treatment group (n=3/group) and mRNA enriched Illumina TruSeq V2 RNA libraries were prepared. Samples were sequenced on Illumina HiSeq2500.

Publication Title

ARGLU1 is a transcriptional coactivator and splicing regulator important for stress hormone signaling and development.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP073200
Multilayered control of alternative splicing regulatory networks by transcription factors (RNA-Seq)
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Networks of coordinated alternative splicing (AS) events play critical roles in development and disease. However, a comprehensive knowledge of the factors that regulate these networks is lacking. We describe a high-throughput system for systematically linking trans-acting factors to endogenous RNA regulation events. Using this system, we identify hundreds of factors associated with diverse regulatory layers that positively or negatively control AS events linked to cell fate. Remarkably, more than one third of the new regulators are transcription factors. Further analyses of the zinc finger protein Zfp871 and BTB/POZ domain transcription factor Nacc1, which regulate neural and stem cell AS programs, respectively, reveal roles in controlling the expression of specific splicing regulators. Surprisingly, these proteins also appear to regulate target AS programs via binding RNA. Our results thus uncover a large ‘missing cache’ of splicing regulators among annotated transcription factors, some of which dually regulate AS through direct and indirect mechanisms. Overall design: RNA-Seq of N2A cells upon RNAi-mediated knockdown of Mbnl1/Mbnl2 or Nacc1, or control knockdown (1 replicate each), as well as upon knockdown of Srrm4 or Zfp871, or control knockdown (2 replicates each) vast-tools.AltSplicing_Mbnl.Nacc1.tab: Primary vast-tools output for Mbnl and Nacc1 knockdowns vast-tools.AltSplicing_Srrm4.Zfp871.tab: Primary vast-tools output for Srrm4 and Zfp871 knockdowns AltSplicing_Mbnl.Nacc1.tab: Filtered PSI values and differential AS annotation for Mbnl and Nacc1 knockdowns AltSplicing_Srrm4.Zfp871.tab: Filtered PSI values and differential AS annotation for Srrm4 and Zfp871 knockdowns Expression_Mbnl.Nacc1.tab: Raw and read counts per gene, normalized expression and fold-change for Mbnl and Nacc1 knockdowns Expression_Srrm4.Zfp871.tab: Raw read counts per gene, normalized expression and fold-change (edgeR analysis) for Srrm4 and Zfp871 knockdowns

Publication Title

Multilayered Control of Alternative Splicing Regulatory Networks by Transcription Factors.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE72755
Toxicogenomics on mice liver of coumarins from Calophyllum brasiliense
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

A toxicogenomic analysis from liver of different pharmacological active coumarins (mammea A/BA+A/BB 3:1 and soulatrolide ) was performed on mice treated (20mg/kg/daily) for a whole week to evaluate if such compounds possess or could develop a hazardous profile on liver.

Publication Title

Toxicogenomic analysis of pharmacological active coumarins isolated from Calophyllum brasiliense.

Sample Metadata Fields

Sex, Specimen part, Treatment

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accession-icon GSE3653
Inducible Ngn3 Embryonic Stem Cells
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Expression of the proendocrine gene neurogenin 3 (Ngn3) is required for the development of pancreatic islets. In order to better characterize the molecular events regulated by Ngn3 during development, we have determined the expression profile of differentiating murine embryonic stem cells (mESCs) uniformly induced to overexpress Ngn3. An ESC line was created that allows for the induction of Ngn3 by adding doxycycline (Dox) to the culture medium. Genome-wide microarray analysis was performed to identify genes regulated by Ngn3 in a variety of both undifferentiated and differentiated conditions. Characterization of pancreatic developmental markers during embryoid body (EB) formation revealed an optimum context for Ngn3 induction. Neuroendocrine genes including neurogenic differentiation 1 (NeuroD1) and single minded 1 (Sim1) were found to be significantly upregulated. Genes regulated by Ngn3 independent of the context were analyzed using systematic gene ontology tools and revealed Notch signaling as the most significantly regulated signaling pathway (p=0.009). This result is consistent with the hypothesis that Ngn3 expression makes the cell competent for Notch signaling to be activated and conversely, more sensitive to Notch signaling inhibition. Indeed, EBs induced to express Ngn3 were significantly more sensitive to gamma-secretase inhibitor-mediated Notch signaling inhibition (p<0.0001). Moreover, we find that Ngn3 induction in differentiating ESCs results in significant increases in insulin, glucagon, and somatostatin transcription.

Publication Title

Differentiation of embryonic stem cells conditionally expressing neurogenin 3.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE2531
JEG3 vs BeWo
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

In this experiment we compared total RNA from two commonly used choriocarcinoma cell lines, JEG3 and BeWo, to identify differentially expressed transcripts.

Publication Title

Microarray analysis of BeWo and JEG3 trophoblast cell lines: identification of differentially expressed transcripts.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP045664
KLF1 null neonates display hydrops fetalis and a deranged erythroid transcriptome
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconIonTorrentProton

Description

We describe a case of severe neonatal anemia with kernicterus due to compound heterozygosity for null mutations in KLF1, each inherited from asymptomatic parents. One of the mutations is novel. This is the first described case of a KLF1 null human. The phenotype of severe DAT-negative non-spherocytic hemolytic anaemia (NSHA), jaundice, hepato-splenomegaly, and marked erythroblastosis is more severe than that present in CDA type IV due to dominant mutations in the second zinc-finger of KLF1. There was a very high level of HbF expression into childhood (>70%), consistent with a key role for KLF1 in human hemoglobin switching. We performed RNA-seq on circulating erythroblasts and found human KLF1 acts like mouse Klf1 to coordinate expression of many genes required to build a red cell including those encoding globins, cytoskeletal components, AHSP, heme synthesis enzymes, cell cycle regulators, and blood group antigens. We identify novel KLF1 target genes including KIF23 and KIF11 which are required for proper cytokinesis. We also identify new roles for KLF1 in autophagy, global transcriptional control and RNA splicing. We suggest loss of KLF1 should be considered in otherwise unexplained cases of severe neonatal NSHA or hydrops fetalis. Overall design: mRNA sequencing on peripheral blood from a family trio (mother, father and proband) where parents were asymptomatic and proband had severe neonatal anemia.

Publication Title

KLF1-null neonates display hydrops fetalis and a deranged erythroid transcriptome.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE135511
Gene expression profiling of multiple sclerosis brain samples
  • organism-icon Homo sapiens
  • sample-icon 50 Downloadable Samples
  • Technology Badge IconIllumina HumanRef-8 v3.0 expression beadchip

Description

Recent studies of cortical pathology in secondary progressive multiple sclerosis have shown that a more severe clinical course and the presence of extended subpial grey matter lesions with significant neuronal/glial loss and microglial activation are associated with meningeal inflammation, including the presence of lymphoid-like structures in the subarachnoid space in a proportion of cases. To investigate the molecular consequences of pro-inflammatory and cytotoxic molecules diffusing from the meninges into the underlying grey matter, we carried out gene expression profiling analysis of the motor cortex from 20 post-mortem multiple sclerosis brains with and without substantial meningeal inflammation and 10 non-neurological controls. Gene expression profiling of grey matter lesions and normal appearing grey matter not only confirmed the substantial pathological cell changes, which were greatest in multiple sclerosis cases with increased meningeal inflammation, but also demonstrated the upregulation of multiple genes/pathways associated with the inflammatory response. In particular, genes involved in tumour necrosis factor (TNF) signalling were significantly deregulated in MS cases compared to controls.

Publication Title

Meningeal inflammation changes the balance of TNF signalling in cortical grey matter in multiple sclerosis.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon SRP082416
Whole transcriptome analysis of reaggregated embryoid bodies treated with IWR-1
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We identified distict mesodermal sub-populations based on Endoglin (Eng) and Flk1 expression in Brachyury (Bry) positive cells. By using whole-transcriptome analysis, we further characterized these populations and how they changed when Wnt pathway is inhibited Overall design: Reaggregates mRNA profiles of unsorted, Flk1+ Eng+, and Flk1- Eng+ samples were generated by deep sequencing, in triplicate , using Ilumina.

Publication Title

Endoglin integrates BMP and Wnt signalling to induce haematopoiesis through JDP2.

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon GSE41509
Yap role in intestine
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Restriction of intestinal stem cell expansion and the regenerative response by YAP.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE78837
The effect of CSF1-Fc treatment in pigs on liver gene expression
  • organism-icon Sus scrofa
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Porcine Gene 1.1 ST Array (porgene11st)

Description

The expression was designed to determine whether exposure to CSF1-Fc has any effect on liver-specific gene expression in pigs.

Publication Title

Macrophage colony-stimulating factor (CSF1) controls monocyte production and maturation and the steady-state size of the liver in pigs.

Sample Metadata Fields

Specimen part

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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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