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accession-icon GSE6928
Stonewalling Drosophila stem cell differentiation by epigenetic controls
  • organism-icon Drosophila melanogaster
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

Abstract: During Drosophila oogenesis, germline stem cell (GSC) identity is maintained largely by preventing the expression of factors that promote differentiation. This is accomplished via the activity of several genes acting either in the GSC or its niche. The translational repressors, Nanos and Pumilio, act in GSCs to prevent differentiation, likely by inhibiting translation of early differentiation factors, while niche signals prevent differentiation by silencing transcription of the differentiation factor Bam. We have found that the DNA-associated protein Stonewall (Stwl) is also required for GSC maintenance. stwl is required cell-autonomously; clones of stwl- germ cells were lost by differentiation, and ectopic Stwl caused an expansion of GSCs. stwl mutants acted as Suppressors of Variegation, indicating stwl normally acts in chromatin-dependent gene repression. In contrast to several previously described GSC maintenance factors, Stwl likely functions epigenetically to prevent GSC differentiation. Stwl-dependent transcriptional repression does not target bam, but rather Stwl represses the expression of many genes, including those that may be targeted by Nanos/Pumilio translational inhibition.

Publication Title

Stonewalling Drosophila stem cell differentiation by epigenetic controls.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE8318
Expression from control subplate neurons with few synapses and cocultured subplate neurons with induced synaptogenesis
  • organism-icon Rattus norvegicus
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

The transcriptional events accompanying synaptogenesis are largely unknown, or have been studied in systems in which synapse formation occurs gradually over time. With a system in which synaptogenesis is synchronized and controllable, molecular or biochemical techniques can be used to examine cellular events across cultures on a wide scale, as synapses develop.

Publication Title

Synaptogenesis in purified cortical subplate neurons.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE14908
Global expression profiling of CD4 T-cell responses to house dust mite allergens in human atopics and nonatopics.
  • organism-icon Homo sapiens
  • sample-icon 88 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The aim of this study was to employ a systems-level analysis to elucidate gene expression networks operating in the CD4 T-cell responses which underpin human atopic disease.

Publication Title

A network modeling approach to analysis of the Th2 memory responses underlying human atopic disease.

Sample Metadata Fields

Time

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accession-icon GSE63930
Transcriptomic Responses to Prion Disease in Rats
  • organism-icon Rattus norvegicus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

While prion infections have been extensively characterized in the laboratory mouse, little is known regarding the molecular responses to prions in other rodents. To explore these responses and make comparisons, we generated a prion disease in the laboratory rat by successive passage of mouse RML prions. Here we describe the accumulation of prions and associated pathology in the rat and describe the transcriptional impact throughout prion disease. Comparative transcriptional profiling between laboratory mice and rats suggests that similar molecular processes are unfolding in response to prion infection. At the level of individual transcripts, however, variability exists between mice and rats and many genes deregulated in mouse scrapie are not affected in rats. Notwithstanding these differences, many transcriptome responses are conserved between mice and rats infected with scrapie. Our findings highlight the usefulness of comparative approaches to understanding neurodegeneration and prion diseases in particular.

Publication Title

Transcriptomic responses to prion disease in rats.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE12773
Expression data from airway epithelial cell-conditioned monocyte-derive dendritic cells
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Dendritic cells differentiate from their precursors in the airway mucosa under local environmental instruction. Airway epithelial cells (AEC) are a potent source of both pro- and anti-inflammatory mediators and are in intimate contact with intraepithelial DC and their precursors. Thus, AEC are likely candidates for influencing this differentiation process in order to tailor the DC for optimal function in the airway mucosa.

Publication Title

Airway epithelial cells regulate the functional phenotype of locally differentiating dendritic cells: implications for the pathogenesis of infectious and allergic airway disease.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE26064
Gene Expression Analysis of Fezf1 Mutant Main Olfactory Epithelium
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Mice lacking the transcription factor Fezf1 exhibit defects in the structural and molecular organiztion of their olfactory system. To invetigate this at the level of gene expression, we isolated Fezf1 expressing cells by FACS from the MOE of Fezf1+/- or Fezf1-/- animals and compared their gene expression profiles.

Publication Title

Fezf1 and Fezf2 are required for olfactory development and sensory neuron identity.

Sample Metadata Fields

Specimen part

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accession-icon GSE48429
Genes Required for and Effects of Inducible Alginate Overproduction by Growth of Pseudomonas aeruginosa on PIAAMV
  • organism-icon Pseudomonas aeruginosa
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Pseudomonas aeruginosa Array (paeg1a)

Description

Pseudomonas aeruginosa is an opportunistic pathogen that can adapt to changing environments and can secrete an exopolysaccharide known as alginate as a protection response resulting in a colony morphology and phenotype referred to as mucoid. However how P. aeruginosa senses its environment and activates alginate overproduction is not fully understood. Previously, we showed that Pseudomonas isolation agar (PIA) supplemented with ammonium metavanadate (PIAAMV) induces P. aeruginosa to overproduce alginate. Vanadate is a phosphate mimic and causes protein misfolding by disruption of disulfide bonds. Here we used PIAAMV to characterize the pathways involved in inducible alginate production and tested the global effects of P. aeruginosa growth on PIAAMV by a mutant library screen, transcriptomics, and in a murine acute virulence model. The PA14 non-redundant mutant library was screened on PIAAMV to identify new genes that are required for the inducible alginate stress response. A functionally diverse set of genes encoding products involved in cell envelope biogenesis, peptidoglycan, uptake of phosphate and iron, phenazines biosynthesis, and other processes were identified as positive regulators of the mucoid phenotype on PIAAMV. Transcriptome analysis of P. aeruginosa growing in the presence of vanadate caused differential expression of genes involved in virulence, envelope biogenesis, and cell stress pathways. In this study, it was observed that growth on PIAAMV attenuates P. aeruginosa in a mouse pneumonia model. Induction of alginate overproduction occurs as a stress response to protect P. aeruginosa but it may be possible to modulate and inhibit these pathways based on the new genes identified in this study.

Publication Title

Genes required for and effects of alginate overproduction induced by growth of Pseudomonas aeruginosa on Pseudomonas isolation agar supplemented with ammonium metavanadate.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE35607
Genes expressed in age-induced mitochondrial DNA deletion mutation containing / Electron Transport abnormal cells
  • organism-icon Rattus norvegicus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Muscle tissue was longitudinally characterized histologically for electron transport function by staining 1mm of quadriceps muscle at 70 micron intervals for the activities of two complexes in the mitochondrial electron transport chain, Cytochrome C Oxidase and Succinate Dehydrogenase. Unstained serial cryosections were prepared for Laser Capture Microdissection. Target cells from the serial sections were isolated and pooled for RNA extraction, amplification and hybridization on Affymetrix microarrays. We selected homogeneous populations of muscle fibers for expression profiling based upon the presence/absence of electron transport dysfunction caused by the somatic accumulation of mitochondrial DNA deletion mutations.

Publication Title

Mitochondrial biogenesis drives a vicious cycle of metabolic insufficiency and mitochondrial DNA deletion mutation accumulation in aged rat skeletal muscle fibers.

Sample Metadata Fields

Age, Specimen part

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accession-icon SRP140795
Using RNA sequencing to examine age-dependent skeletal muscle transcriptome response to bed rest-induced atrophy, and age independent disuse-induced insulin resistance
  • organism-icon Homo sapiens
  • sample-icon 54 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Short-term bed rest is used to simulate muscle disuse in humans. In our previous reports, we found that 5d of bed rest induced a ~4% loss of skeletal muscle mass in OLD (60-79 y) but not YOUNG (18-28 y) subjects. Identifying muscle transcriptional events in response to bed rest and age-related differences will help identify therapeutic targets to offset muscle loss in vulnerable older adult populations. Skeletal muscle dysregulation during bed rest in the old may be driven by alterations in molecules related to fibrosis, inflammation, and cell adhesion. This information may aide in the development of mechanistic-based therapies to combat muscle atrophy during short-term disuse. Short-term muscle disuse is also characterized by skeletal muscle insulin resistance, though this response is divergent across subjects. The mechanisms regulating inactivity-induced insulin resistance between populations that are more or less susceptible to disuse-induced insulin resistance are not known, and delineated by age. High Susceptibility participants were uniquely characterized with muscle gene responses described by a decrease in pathways responsible for lipid uptake and oxidation, decreased capacity for triglyceride export (APOB), increased lipogenesis (i.e., PFKFB3, FASN), and increased amino acid export (SLC43A1). Overall design: RNA was isolated and sequenced from muscle biopsies obtained from the vastus lateralis of YOUNG (N=9) and OLD (N=18) men and women before and after five days of bed rest. Sequencing libraries (18 pM) were chemically denatured and applied to an Illumina TruSeq v3 single read flowcell using an Illumina cBot. Hybridized molecules were clonally amplified and annealed to sequencing primers with reagents from an Illumina TruSeq SR Cluster Kit v3-cBot-HS (GD-401-3001). Following transfer of the flowcell to an Illumina HiSeq 2500 instrument (HCS v2.0.12 and RTA v1.17.21.3), a 50 cycle single read sequence run was performed using TruSeq SBS v3 sequencing reagents (FC-401-3002). The design formula was constructed by following the section on group-specific condition effects, individuals nested within groups in the DESeq2 vignette.   The design included age + age:nested + age:time to test for differences in bed rest in old subjects, young subjects and the interaction, in this case if bed rest effects are different between the two age groups (where age is young or old, nested is patient number nested by age and time is pre- or post-bed rest). A similar design was used to determine susceptibility to disuse-induced insulin resistance, where “susceptibility” took the place of “age”.

Publication Title

Disuse-induced insulin resistance susceptibility coincides with a dysregulated skeletal muscle metabolic transcriptome.

Sample Metadata Fields

Sex, Specimen part, Subject, Time

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accession-icon GSE113233
Strain-specific differences in brain gene expression in a hydrocephalic mouse model with motile cilia dysfunction
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 R2 expression beadchip

Description

Analysis of strain-specific differences in gene expression in brains from a hydrocephalic mouse model of primary ciliary dyskinesia. The results identify genes that are differentially expressed between C57BL6/J and 129S6/SvEvTac brains. These genes encode proteins that function in a variety of cellular processes and include some that are relevant to hydrocephalus and cilia function, providing insight into the mechanisms underlying susceptibility to hydrocephalus.

Publication Title

Strain-specific differences in brain gene expression in a hydrocephalic mouse model with motile cilia dysfunction.

Sample Metadata Fields

Age, 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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