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accession-icon GSE28231
Dendritic cell maturation by proinflammatory TNF or pathogenic Trypanosoma brucei antigens instruct similar T helper-2 cell responses in murine models of autoimmunity and asthma
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Background

Publication Title

Similar inflammatory DC maturation signatures induced by TNF or Trypanosoma brucei antigens instruct default Th2-cell responses.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE10377
Strains for eQTL CNV Analysis
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Background

Publication Title

Expression quantitative trait loci mapping identifies new genetic models of glutathione S-transferase variation.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE21061
Endogenous overexpression of Poplar MYB186 increases trichome density, improves growth rate and insect pest resistance
  • organism-icon Populus tremula x populus alba
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Poplar Genome Array (poplar)

Description

Trichomes are specialised epidermal cells that generally play a role in reducing transpiration and act as a deterrent to herbivory. In a screen of activation tagged Populus tremula x P. alba 717-1B4 trees, we identified a mutant line, fuzzy, with increased foliar trichome density. This mutant also had a 35% increase in growth rate and a 200% increase in the rate of photosynthesis as compared to wild-type poplar. The fuzzy mutant had significant resistance to feeding by larvae of the white spotted tussock moth (Orgyia leucostigma), a generalist insect pest of poplar trees. The fuzzy phenotype is attributable to activation tagging and increased expression of the gene encoding PtaMYB186, which is related to Arabidopsis thaliana MYB106, a known regulator of trichome initiation. The fuzzy phenotype can be recapitulated by overexpressing PtaMYB186 in poplar. PtaMYB186 overexpression results in reconfiguration of the poplar transcriptome, with changes in the transcript abundance of suites of genes that are related to trichome differentiation. It is notable that this gene responsible for trichome development also altered traits related to growth rate and pest resistance, suggesting that non-intuitive facets of plant development might be useful targets for plant improvement.

Publication Title

Endogenous overexpression of Populus MYB186 increases trichome density, improves insect pest resistance, and impacts plant growth.

Sample Metadata Fields

Specimen part

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accession-icon GSE6476
Effect of chronic fluoxetine treatment on hippocampal gene expression
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Both the mechanism of action and the factors determining the behavioral response to antidepressants are unknown. It has been shown that antidepressant treatment promotes the proliferation and survival of hippocampal neurons via enhanced serotonergic signaling, but it is still unclear whether hippocampal neurogenesis is responsible for the behavioral response to antidepressants. Furthermore, a large subpopulation of patients fails to respond to antidepressant treatment due to presumed underlying genetic factors. In the present study, we have used the phenotypic and genotypic variability of inbred mouse strains to show that there is a genetic component to both the behavioral and neurogenic effects of chronic fluoxetine treatment, and that this antidepressant induces an increase in hippocampal cell proliferation only in the strains that also show a positive behavioral response to treatment. The behavioral and neurogenic responses are associated with an upregulation of genes known to promote neuronal proliferation and survival. These results suggest that inherent genetic predisposition to increased serotonin-induced neurogenesis is a determinant of antidepressant efficacy.

Publication Title

Genetic regulation of behavioral and neuronal responses to fluoxetine.

Sample Metadata Fields

Sex, Treatment

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accession-icon GSE59630
Longitudinal Gene Expression Analysis in Human Brain identifies biological processes underlying neuropathology in Down Syndrome
  • organism-icon Homo sapiens
  • sample-icon 116 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Trisomy 21 (Ts21) or Down syndrome (DS) is the most common genetic cause of intellectual disability. To investigate the consequences of Ts21 on human brain development, we have systematically analyzed the transcriptome of dorsolateral prefrontal cortex (DFC) and cerebellar cortex (CBC) using exon array mapping in DS and matched euploid control brains spanning from prenatal development to adulthood. We identify hundreds of differentially expressed (DEX) genes in the DS brains, many of which exhibit temporal changes in expression over the lifespan. To gain insight into how these DEX genes may cause specific DS phenotypes, we identified functional modules of co-expressed genes using several different bioinformatics approaches, including WGCNA and gene ontology analysis. A module comprised of genes associated with myelination, including those dynamically expressed over the course of oligodendrocyte development, was amongst those with the great levels of differential gene expression. Using Ts65Dn mouse line, the most common rodent model of DS, w e observed significant and novel defects in oligodendrocyte maturation and myelin ultrastructure; establishing a correlative proof-of-principle implicating myelin dysgenesis in DS. Thus, examination of the spatio-temporal transcriptome predicts specific cellular and functional events in the DS brain and is an outstanding resource for determining putative mechanisms involved in the neuropathology of DS.

Publication Title

Down Syndrome Developmental Brain Transcriptome Reveals Defective Oligodendrocyte Differentiation and Myelination.

Sample Metadata Fields

Sex, Disease, Race

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accession-icon GSE47150
Microarray profiling of primary neurons transduced with shRNA for multiple ASD-implicated genes
  • organism-icon Mus musculus
  • sample-icon 37 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Austism spectrum disorder (ASD) is a heterogeneous behavioral disease most commonly characterized by severe impairment of social engagement and the presence of repetitive activities. The molecular etiology of ASD is still largely unknown despite a strong genetic component. Part of the difficulty in turning genetics into disease mechanisms and potentially new therapeutics is the sheer number and diversity of the genes that have been associated with ASD and ASD symptoms. The goal of this work is to use shRNA-generated models of genetic defects proposed as causative for ASD to identify the common pathways that might explain how they produce a common clinical outcome. Transcript levels of Mecp2, Mef2a, Mef2d, Fmr1, Nlgn1, Nlgn3, Pten, and Shank3 were knocked-down in mouse primary neuron cultures using shRNA/lentivirus constructs. Whole genome expression analysis was conducted for each of the knock-down cultures as well as a mock-transduced culture and a culture exposed to a lentivirus expressing luciferase. Gene set enrichment and a causal reasoning engine were employed to indentify pathway level perturbations generated by the transcript knock-down. Quantitation of the shRNA targets confirmed the successful knock-down at the transcript and protein levels of at least 75% for each of the genes. After subtracting out potential artifacts caused by transfection and viral infection, gene set enrichment and causal reasoning engine analysis showed that a significant number of gene expression changes mapped to pathways associated with neurogenesis, long-term potentiation, and synaptic activity. This work demonstrates that despite the complex genetic nature of ASD, there are common molecular mechanisms that connect many of the best established autism candidate genes. By identifying the key regulatory checkpoints in the interlinking transcriptional networks underlying autism, we are better able to discover the ideal points of intervention that provide the broadest efficacy across the diverse population of autism patients.

Publication Title

Transcriptomic analysis of genetically defined autism candidate genes reveals common mechanisms of action.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE16744
Wild-type and COUP-TFI-/- newborn inner ear microarrays
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

In order to establish a list of candidate direct COUP-TFI gene targets in the inner ear, we analyzed the differential gene expression profiles of the wild-type and the COUP-TFI/ P0 inner ears.

Publication Title

Genome-wide analysis of binding sites and direct target genes of the orphan nuclear receptor NR2F1/COUP-TFI.

Sample Metadata Fields

Specimen part

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accession-icon SRP055528
Spatially heterogeneous choroid plexus transcriptomes encode positional identity and contribute to regional cerebrospinal fluid production
  • organism-icon Mus musculus
  • sample-icon 13 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

A sheet of choroid plexus epithelial cells extends into each cerebral ventricle and secretes signaling factors into the cerebrospinal fluid (CSF). To evaluate whether differences in the CSF proteome across ventricles arise, in part, from regional differences in choroid plexus gene expression, we defined the transcriptome of lateral ventricle (telencephalic) vs. fourth ventricle (hindbrain) choroid plexus. We find that positional identities of mouse, macaque, and human choroid plexi derive from gene expression domains that parallel their axial tissues of origin. We then show that molecular heterogeneity between telencephalic and hindbrain choroid plexi contributes to region-specific, age-dependent protein secretion in vitro. Transcriptome analysis of FACS-purified choroid plexus epithelial cells also predicts their cell type-specific secretome. Spatial domains with distinct protein expression profiles were observed within each choroid plexus. We propose that regional differences between choroid plexi contribute to dynamic signaling gradients across the mammalian cerebroventricular system. Overall design: Two-factor design with two levels per factor and n=2 biological replicates. Lateral (telencephalic) and fourth (hindbrain) choroid plexus samples are paired in that they are isolated from the same brains.

Publication Title

Spatially heterogeneous choroid plexus transcriptomes encode positional identity and contribute to regional CSF production.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon E-MAXD-6
Transcription profiling by array of Drosophila larvae after parasitoid attack
  • organism-icon Drosophila melanogaster
  • sample-icon 90 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome Array (drosgenome1)

Description

We explored the transcriptional response to parasitoid attack in Drosophila larvae at nine time points following parasitism, hybridizing five biologic replicates per time point to whole-genome microarrays for both parasitized and control larvae. We found significantly different expression profiles for 159 probe sets (representing genes), and we classified them into 16 clusters based on patterns of co-expression. A series of functional annotations were nonrandomly associated with different clusters, including several involving immunity and related functions. We also identified nonrandom associations of transcription factor binding sites for three main regulators of innate immune responses (GATA/srp-like, NF-kappaB/Rel-like and Stat), as well as a novel putative binding site for an unknown transcription factor. The appearance or absence of candidate genes previously associated with insect immunity in our differentially expressed gene set was surveyed

Publication Title

Genome-wide gene expression in response to parasitoid attack in Drosophila.

Sample Metadata Fields

Time

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accession-icon GSE28644
Gene Expression Data Following Chronic Vehicle or Fluoxetine Treatment in Thirty Mouse Inbred Lines
  • organism-icon Mus musculus
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

In order to understand how biochemical and genetic differences correlate with treatment response, we measured depressive-like behavior, gene expression and the levels of thirty-six neurobiochemical analytes across a panel of genetically-diverse mouse inbred lines after chronic treatment with vehicle or fluoxetine. Neurobiochemical markers were chosen based on their putative molecular function within pathways proposed to underlie depression, which include neuronal transmission, HPA-axis regulation, and neuroimmune processes. The goal of this study is to establish genetic and biochemical biomarkers that can predict treatment response and to propose a molecular pathway that is critical in mediating anti-depressant response.

Publication Title

Evaluating genetic markers and neurobiochemical analytes for fluoxetine response using a panel of mouse inbred strains.

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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