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accession-icon GSE2268
Arabidopsis polysome microarray
  • organism-icon Arabidopsis thaliana
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Microarray experiment with polysomal and non-polysomal RNAs extracted under non-stress and mild-dehydration stress.

Publication Title

mRNA sequence features that contribute to translational regulation in Arabidopsis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE56936
Expression data from NEAT1 regulated genes with or without polyI:C
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Although thousands of long non-coding RNAs (lncRNAs) are localized in the nucleus, only a few dozen have been functionally characterized.

Publication Title

Long noncoding RNA NEAT1-dependent SFPQ relocation from promoter region to paraspeckle mediates IL8 expression upon immune stimuli.

Sample Metadata Fields

Cell line

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accession-icon GSE2218
Changes in transcript abundance and association with large polysomes in response to hypoxia stress
  • organism-icon Arabidopsis thaliana
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

7d-old WT ler seedlings were submitted to 12h of non-stress (air) or hypoxia-stress treatment under low light conditions (45 uM m-2 s-2), and Total and Large Polysome RNA from both treatments were extracted and hybridized against Affymetrix genome chips. Values were used to evaluate changes in transcript abundance and transcript association with large polysomal complexes.

Publication Title

Genome-wide analysis of transcript abundance and translation in Arabidopsis seedlings subjected to oxygen deprivation.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE25522
Larval host gene expression study in Drosophila post parasitic wasp-infection
  • organism-icon Drosophila melanogaster
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

Upon pathogenic infection, drosophila larval host mounts an immune response. Parasitic wasps inject venom that contain virulence factors during oviposition, which can elicit host immune response, and in some cases, suppress host immune responses altogether. Several microarray experiments have been performed on different classes of parasitic wasps. We wanted to compare how Ganaspis xanthopoda-infected hosts respond compared to other classes of parasitic wasps.

Publication Title

A database for the analysis of immunity genes in Drosophila: PADMA database.

Sample Metadata Fields

Time

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accession-icon GSE68231
Expression data from human skeletal muscle
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The accumulation of intramyocellular lipid (IMCL) is recognized as an important determinant of insulin resistance, and is increased by a high-fat diet (HFD). However, the effects of HFD on IMCL and insulin sensitivity are highly variable.

Publication Title

Increased intramyocellular lipid/impaired insulin sensitivity is associated with altered lipid metabolic genes in muscle of high responders to a high-fat diet.

Sample Metadata Fields

Sex, Specimen part, Time

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accession-icon GSE10881
Properties of mammalian neural progenitor cells as revealed by genome-wide single cell gene expression profiles
  • organism-icon Mus musculus
  • sample-icon 70 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Cellular diversity of the brain is largely attributed to the spatial and temporal heterogeneity of progenitor cells. In mammalian cerebral development, it has been difficult to determine how neural progenitor cells are heterogeneous, due to their dynamic changes in nuclear position and gene expression. To address this issue, we systematically analyzed the cDNA profiles of a large number of single progenitor cells at the mid-embryonic stage.

Publication Title

Single-cell gene profiling defines differential progenitor subclasses in mammalian neurogenesis.

Sample Metadata Fields

Specimen part

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accession-icon SRP073735
Total RNA-seq of HeLa cells upon conventional or improved RNA extraction
  • organism-icon Homo sapiens
  • sample-icon 46 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We devised a novel improved RNA extraction method, and performed total RNA-seq to determine the effect of improved RNA extraction. Overall design: Examination of total RNAs that were derived from the same cell/TRI Reagent solution, split into two and extracted by either a conventional or improved RNA extraction method. Hokkaido System Science, Co.

Publication Title

Unusual semi-extractability as a hallmark of nuclear body-associated architectural noncoding RNAs.

Sample Metadata Fields

Subject

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accession-icon GSE55981
Cell cycle-independent temporal identity transitions in cortical progenitor cells as revealed by single cell transcriptome analysis
  • organism-icon Mus musculus
  • sample-icon 68 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

During cerebral development, a variety of neurons are sequentially generated by self-renewing progenitor cells, apical progenitors (APs). A temporal change in AP identity is thought to produce a diversity of progeny neurons, while underlying mechanisms are largely unknown. Here we performed single cell genome-wide transcriptome profiling of APs at different neurogenic stages, and identified a set of genes that are temporally expressed in APs in a manner independent of differentiation state. Surprisingly, the temporal pattern of such AP gene expression was not affected by arresting cell cycling. Consistently, a transient cell cycle arrest of APs in vivo did not prevent descendant neurons to acquire their correct laminar fates. in vitro cell culture of APs revealed that transitions in AP gene expression involved in both cell-autonomous and non-autonomous mechanisms. These results suggest that timers controlling AP temporal identity run independently of cell cycle progression and Notch activation mode.

Publication Title

Cell-cycle-independent transitions in temporal identity of mammalian neural progenitor cells.

Sample Metadata Fields

Specimen part

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accession-icon SRP067494
In vivo analysis of astrocyte ribosome-associated mRNA after traumatic spinal cord injury
  • organism-icon Mus musculus
  • sample-icon 22 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Analysis of gene expression by astrocytes or non-astrocyte cells in spinal cord injury (SCI) lesions may lead to the identification of molecules that impact on axon regrowth. We conducted genome-wide RNA sequencing of (i) immunoprecipitated astrocyte-specific ribosome-associated RNA (ramRNA) from WT or STAT3-CKO astrocytes, and (ii) the non-precipitated (flow-through) RNA deriving from non-astrocyte cells in the same tissue samples 14 days following SCI. DOI: 10.1038/nature17623 Overall design: Young adult female mGFAP-Cre-RiboTag or mGFAP-Cre-RiboTag-STAT3-LoxP mice underwent severe crush SCI at thoracic level 10. 14 days following SCI, the central 3mm of the SCI lesion was extracted, homogenized and (i) astrocyte-specific ribosome-associated RNA (ramRNA) precipitated via a hemagglutinin (HA) tag targeted to either WT (n=4) or STAT3-CKO (n=3) astrocytes, and (ii) the non-precipitated (flow-through) RNA deriving from non-astrocyte cells in the same tissue samples. Sex and age-matched mGFAP-Cre-RiboTag mice served as uninjured controls (n=4).

Publication Title

Astrocyte scar formation aids central nervous system axon regeneration.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP135818
Layer-specific molecular expression in neocortical astrocytes
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Protoplasmic astrocytes in layers II to VI of the mammalian neocortex have historically been thought to comprise a homogeneous population. Given that layer-specific neuronal subtypes play essential roles in cortical circuitry, astrocytes might also be expected to support and modify this circuitry in a layer-specific manner. In order to investigate whether protoplasmic astrocytes exhibit layer-specific heterogeneity, we compared the gene expression profiles of astrocytes between upper layers (layers II to IV) and deep layers (layers V and VI). Although most genes known to be preferentially expressed in astrocytes (astrocyte-enriched genes) were equally expressed between upper-layer astrocytes and deep-layer astrocytes, some such genes (astrocyte-enriched genes or genes with known function in astrocytes) were significantly enriched in upper-layer astrocytes or deep-layer astrocytes. Overall design: With the use of fluorescence-activated cell sorting (FACS), we prepared upper-layer astrocytes and deep-layer astrocytes from the corresponding dissected layers of the somatosensory cortex of Aldh1l1-eGFP mice, in which all astrocytes are expected to be labeled with GFP. The meninges, layer I, and the corpus callosum were removed from upper- and deep-layer tissue samples. In addition, parts of layers IV and V were lost during separation of these layers in such a way as to prevent cross-contamination between the upper- and deep-layer samples. Total RNA from upper-layer astrocytes and deep-layer astrocytes (n = 3 brains from 4-week-old male mice) was isolated from sorted cells with TRIzol (Invitrogen) or RNAiso Plus (Takara) and was then subjected to reverse transcription with the use of a SMART-Seq v4 Ultra Low Input RNA Kit for Sequencing (Clontech). Bar-coded libraries were prepared with a Nextera XT DNA Library Preparation Kit (Illumina), and single-end 36-bp sequencing was performed with a HiSeq 2500 instrument (Illumina).

Publication Title

Layer-specific morphological and molecular differences in neocortical astrocytes and their dependence on neuronal layers.

Sample Metadata Fields

Specimen part, Subject

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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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