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accession-icon GSE72301
Expression data of CNS T cells during EAE
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

In the absence of NR4A2 in T cells mice do not develop early acute EAE, but only a late chronic disease. We examined the mechanism by which NR4A2 can control the pathogencity of T cells in CNS autoimmune disease.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

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accession-icon GSE11829
Prg1 is regulated by the basic helix-loop-helix transcription factor Math2
  • organism-icon Rattus norvegicus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Math2 (NEX-1/NeuroD6) is a member of the bHLH transcription factor family and is involved in neuronal differentiation and maturation. In the present study, we identified the genes targeted by Math2 using DNA microarrays and cultured rat cortical cells transfected with Math2. Of the genes regulated by Math2, we focused on plasticity-related gene 1 (Prg1). Prg1 expression induced by Math2 was confirmed in cultured rat cortical cells and PC12 cells analyzed by real-time quantitative PCR. Examining the promoter region of rat Prg1, we found four E-boxes designated -E1 to -E4 (CANNTG) which were recognized by the bHLH transcription factor. Using chromatin immunoprecipitation (ChIP) assays, we found that Math2 directly bound to the E-box(es) in the Prg1 promoter. The reporter assay of Prg1 showed that -E1 was critical for the regulation of the Prg1 expression by Math2. Then, the functional role of Math2 and Prg1 was investigated in PC12 cells. Seventy-two hours after transfection of Math2 or Prg1, neurite length and number was significantly induced in PC12 cells. Co-transfection with Prg1-siRNA completely inhibited Math2-mediated morphological changes. Our results suggest that Math2 directly regulates Prg1 expression and Math2-Prg1 cascade plays an important role in neurite outgrowth in PC12 cells.

Publication Title

Prg1 is regulated by the basic helix-loop-helix transcription factor Math2.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE41638
Microarray analysis of WT and Drd2-/- striatal tissue from C57BL/6 mice
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Drd2 regulates striatal gene networks.

Publication Title

Suppression of neuroinflammation by astrocytic dopamine D2 receptors via αB-crystallin.

Sample Metadata Fields

Specimen part

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accession-icon SRP201045
Homo sapiens Transcriptome or Gene expression
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

Neurons were made from H9 ESCs using a directed differentiation protocol in spinner flasks. After 86 DIV, cells were dissociated and run through the 10X Genomics Chromium single cell RNAseq platform.

Publication Title

No associated publication

Sample Metadata Fields

Sex, Age, Specimen part, Cell line

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accession-icon GSE8692
Endogeneous mRNA level fluctuations in various brain tumor cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Background: microRNAs (miRNAs) are approximately 21 nucleotide non-coding transcripts capable of regulating gene expression. The most widely studied mechanism of regulation involves binding of the miRNA to a target mRNA, usually in its 3 untranslated region (UTR). As a result, translation of the target mRNA is inhibited and sometimes the mRNA itself can be de-stabilized. The inhibitory effects of miRNAs have been linked to many diverse cellular processes including malignant proliferation and apoptosis, development and differentiation, metabolic processes and neural plasticity. We asked whether endogenous fluctuations in a set of mRNA and miRNA profiles contain correlated changes that are statistically distinguishable from the many other fluctuations in the data set.

Publication Title

Detection of a microRNA signal in an in vivo expression set of mRNAs.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE5429
Hippocampal gene expression profiling across 8 inbred strains: towards understanding the molecular basis of behaviour
  • organism-icon Mus musculus
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Mouse inbred strains differ in many aspects of their phenotypes, and it is known that gene expression does so too. This gives us an opportunity to isolate the genetic aspect of variation in expression and compare it to other phenotypic variables. We have investigated these issues using an eight-strain expression profile comparison with four replicates per strain on Affymetrix MGU74av2 GeneChips focusing on one well-defined brain tissue (the hippocampus). We identified substantial strain-specific variation in hippocampal gene expression, with more than two hundred genes showing strain differences by a very conservative criterion. Many such genetically driven differences in gene expression are likely to result in functional differences including differences in behaviour. A large panel of inbred strains could be used to identify genes functionally involved in particular phenotypes, similar to genetic correlation. The genetic correlation between expression profiles and function is potentially very powerful, especially given the current large-scale generation of phenotypic data on multiple strains (the Mouse Phenome Project). As an example, the strongest genetic correlation between more than 200 probe sets showing significant differences among our eight inbred strains and a ranking of these strains by aggression phenotype was found for Comt, a gene known to be involved in aggression.

Publication Title

Hippocampal gene expression profiling across eight mouse inbred strains: towards understanding the molecular basis for behaviour.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP164713
Transcriptomic analysis of Drosophila appendage primordia
  • organism-icon Drosophila melanogaster
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

Transcriptomic analysis of microRNA populations present within the developing wing and haltere appendage primordia of the model organism Drosophila melanogaster

Publication Title

No associated publication

Sample Metadata Fields

Sex, Specimen part, Cell line

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accession-icon E-MEXP-671
Transcription profiling of rat lumbar spinal cord following ventral root avulsion in two inbred strains to investigate susceptibility to neurodegeneration
  • organism-icon Rattus norvegicus
  • sample-icon 1 Downloadable Sample
  • Technology Badge Icon Affymetrix Rat Genome U34 Array (rgu34a)

Description

Gene expression profiling in rat lumbar spinal cord following ventral root avulsion in the two inbred rat strains.

Publication Title

Genetically determined susceptibility to neurodegeneration is associated with expression of inflammatory genes.

Sample Metadata Fields

Sex, Specimen part, Time

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accession-icon E-MEXP-688
Transcription profiling of mouse cell line neuro2a overexpressing transcription factor Pbx1a under tetracycline control
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

Overexpression of a transcription factor Pbx1a under tetracycline control (tet-on) in neuro2a cell line. Comparison of induced (expressing) vs non-induced (non-expressing) cells.

Publication Title

No associated publication

Sample Metadata Fields

Cell line

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accession-icon GSE52139
Expression data from periplaque regions in multiple sclerosis spinal cord
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

There have been few studies that have focused on the periplaque regions surrounding demyelinated plaques, especially in spinal cords. Areas of incomplete demyelination have been demonstrated but poorly studied. The present study aimed to analyze the molecular immunopathology of periplaque demyelinated lesions (PDLs) in the spinal cord of patients with secondary progressive multiple sclerosis (MS).

Publication Title

Tissue remodeling in periplaque regions of multiple sclerosis spinal cord lesions.

Sample Metadata Fields

Sex, 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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