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accession-icon SRP174051
TNF induces Glucocorticoid Resistance by reshaping the GR Nuclear Cofactor Profile: Investigation of TNF mediated effects on the GR mediated gene expression
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer

Description

Glucocorticoid resistance (GCR) is defined as an unresponsiveness to the anti-inflammatory properties of glucocorticoids (GCs) and their receptor, the glucocorticoid receptor (GR). It is a serious problem in the management of inflammatory diseases and occurs frequently. The strong pro-inflammatory cytokine TNF induces an acute form of GCR, not only in mice, but also in several cell lines, e.g. in the hepatoma cell line BWTG3, as evidenced by impaired Dexamethasone (Dex)-induced GR-dependent gene expression. We report that TNF has a significant and broad impact on the transcriptional performance of GR, but no impact on nuclear translocation, dimerization or DNA binding capacity of GR. Proteome-wide proximity-mapping (BioID), however, revealed that the GR interactome is strongly modulated by TNF. One GR cofactor that interacts significantly less with the receptor under GCR conditions is p300. NF?B activation and p300 knockdown both reduce transcriptional output of GR, whereas p300 overexpression and NF?B inhibition revert TNF-induced GCR, which is in support of a cofactor reshuffle model. This hypothesis is supported by FRET studies. This mechanism of GCR opens new avenues for therapeutic interventions in GCR diseases Overall design: Examination of GR induced gene expression in 4 conditions (1 control: NI and 3 treated: DEX, TNF, TNFDEX) starting from 3 biological replicates

Publication Title

TNF-α inhibits glucocorticoid receptor-induced gene expression by reshaping the GR nuclear cofactor profile.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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accession-icon SRP045876
Restoration of Progranulin Expression Rescues Cortical Neuron Generation in Induced Pluripotent Stem Cell Model of Frontotemporal Dementia
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

To understand how haploinsufficiency of progranulin (PGRN) protein causes frontotemporal dementia (FTD), we created induced pluripotent stem cells (iPSC) from patients carrying the GRNIVS1+5G>C mutation (FTD-iPSCs). FTD-iPSCs were fated to cortical neurons, the cells most affected in FTD and known to express PGRN. Although generation of neuroprogenitors was unaffected, their further differentiation into neurons, especially CTIP2-, FOXP2- or TBR1-TUJ1 double positive cortical neurons, was significantly decreased in FTD-neural progeny. Zinc finger nuclease-mediated introduction of PGRN cDNA into the AAVS1 locus corrected defects in cortical neurogenesis, demonstrating that PGRN haploinsufficiency causes inefficient cortical neuron generation. RNAseq analysis confirmed reversal of altered gene expression profile following genetic correction. Wnt signaling pathway, one of the top defective pathways in FTD-iPSC-derived neurons coupled with its reversal following genetic correction, makes it an important candidate. Therefore, we demonstrate for the first time that PGRN haploinsufficiency hampers corticogenesis in vitro. Overall design: We profiled 6 samples: two biological replicates for 3 conditions. Condition 1 consists of neuronal progeny derived from human Embryonic Stem Cells. Condition 2 consists of neuronal progeny derived from induced pluripotent stem cells generated from patients carrying PGRN mutation. Condition 3 consists of neuronal progeny derived from induced pluripotent stem cells generated from patients carrying PGRN mutation, genetically modified to correct the PGRN defect.

Publication Title

Restoration of progranulin expression rescues cortical neuron generation in an induced pluripotent stem cell model of frontotemporal dementia.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP010804
Sip1 in cortical interneuron migration
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We sequenced mRNA from 6 samples of FACsorted telencephalons from E14.5 Sip1|Nkx2-1 knockout and WT|Nkx2-1 control mouse embryos to find differentially expressed genes in the absence of the transcription factor Sip1. Overall design: Examination of mRNA levels in 3 control and 3 Sip1|Nkx2-1 knockout samples

Publication Title

Directed migration of cortical interneurons depends on the cell-autonomous action of Sip1.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE48836
Transcript profiling of ERF115 transgenic Arabidopsis thaliana
  • organism-icon Arabidopsis thaliana
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

This experiment was set up in order to identify the (direct) transcriptional targets of the Ethylene Response Factor 115 (ERF115) transcription factor. Because ERF115 expression occurs in quiescent center (QC) cells and strong effects on the QC cells were observed in ERF115 overexpression plants, root tips were harvested for transcript profiling in order to focus on root meristem and QC specific transcriptional targets.

Publication Title

ERF115 controls root quiescent center cell division and stem cell replenishment.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE21858
Patterns of gene expression and evolution in the human developing cerebral cortex
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The cerebral cortex underwent a rapid expansion and complexification during recent primate evolution, but the underlying developmental mechanisms remain essentially unknown.

Publication Title

Genes expressed in specific areas of the human fetal cerebral cortex display distinct patterns of evolution.

Sample Metadata Fields

Age, Specimen part

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accession-icon SRP201917
Bcl6 neurogenic activity in in vitro cortical progenitors [RNA-Seq]
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 1500

Description

Transcriptome analysis following Bcl6 induction (24h doxycycline) in mouse ES-cell-derived cortical progenitors (differentiation day 12) shows that Bcl6 promotes a neurogenic transcription program and represses selective genes of the main proliferative pathways. Overall design: RNA-seq screen for Bcl6-elicited gene expression changes in in vitro cortical progenitors (n=4)

Publication Title

Cortical Neurogenesis Requires Bcl6-Mediated Transcriptional Repression of Multiple Self-Renewal-Promoting Extrinsic Pathways.

Sample Metadata Fields

Treatment, Subject

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accession-icon GSE48209
Microvascular endothelial heterogeneity
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The goal of this study was to gain insight into the molecular heterogeneity of capillary endothelial cells derived from different organs by microarray profiling of freshly isolated cells and identify transcription factors that may determine the specific gene expression profile of endothelial cells from different tissues. The study focused on heart endothelial cells and presents a validated signature of 31 genes that are highly enriched in heart endothelial cells. Within this signature 5 transcription factors were identified and the optimal combination of these transcription factors was determined for specification of the heart endothelial fingerprint.

Publication Title

Meox2/Tcf15 heterodimers program the heart capillary endothelium for cardiac fatty acid uptake.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE42997
The ISWI ATPase Snf2L is required for superovulation and regulates Fgl2 in differentiating mouse granulosa cells
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

We investigate the role of Snf2l in ovaries by characterizing a mouse bearing an inactivating deletion on the ATPase domain of Snf2l (Ex6DEL). Snf2l mutant mice produce significantly fewer eggs than control mice when superovulated. Thus, gonadotropin stimulation leads to a significant deficit in secondary follicles and an increase in abnormal antral follicles. We profiled the expression of granulosa cells from Snf2l WT and Ex6DEL mice treated with pregnant mares' serum gonadotropin followed by human chorionic gonadotropin

Publication Title

The imitation switch ATPase Snf2l is required for superovulation and regulates Fgl2 in differentiating mouse granulosa cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE45271
17-estradiol accelerates ovarian tumour progression in vivo though the upregulation of GREB1
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Exogenous 17-estradiol (E2) accelerates the progression of ovarian cancer in the transgenic tgCAG-LS-TAg mouse model of the disease. We hypothesized that E2 has direct effects on ovarian cancer cells and this study was designed to determine the molecular mechanisms by which E2 accelerates ovarian tumour progression. Mouse ovarian cancer ascites (MASE2) cell lines were derived from tgCAG-LS-TAg mice. Following intraperitoneal engraftment of MASE2 into SCID mice, exogenous E2 significantly decreased the survival time and increased the tumour burden.

Publication Title

17β-estradiol upregulates GREB1 and accelerates ovarian tumor progression in vivo.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE27985
Microarray analysis of Arabidopsis Col-0 and catalase 2 mutant define interactions between CO2, daylength and H2O2
  • organism-icon Arabidopsis thaliana
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Growth daylength, ambient CO2 level, and intracellular hydrogen peroxide (H2O2) availability all impact plant function by modulating signalling pathways, but interactions between them remain unclear. Using a whole-genome transcriptomics approach, we exploited the conditional photorespiratory nature of the catalase-deficient cat2 mutant to identify gene expression patterns responding to these three factors. Arabidopsis Col-0 and cat2 grown for 5 weeks in high CO2 in short days (SD) were transferred to air in SD or long days (LD), and microarray analysis was performed. Of more than 500 genes differentially expressed in Col-0 between high CO2 and transfer to air in SD, the response of about one-third was attenuated by transfer to air in LD. H2O2-responsive genes in cat2 were highly dependent on daylength. The majority of H2O2-induced genes were more strongly up-regulated after transfer to air in SD than to LD, while a smaller number showed an opposing pattern. Responses of other H2O2-dependent genes indicate redox-modulation of the daylength control of fundamental cell processes. The overall analysis provides evidence that (1) CO2 level modulates stress-associated gene expression; (2) both CO2 and H2O2 interact with daylength and photoreceptor signalling pathways; and (3) cellular signalling pathways may be primed to respond to increased H2O2 in a daylength-determined manner.

Publication Title

Day length is a key regulator of transcriptomic responses to both CO(2) and H(2)O(2) in Arabidopsis.

Sample Metadata Fields

Specimen part, Treatment

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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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