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accession-icon SRP051501
RNA-SEQ profiling of dopaminergic neurons from the substantia nigra pars compacta and ventral tegmental area regions of the mouse mid-brain
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

RNA-SEQ profiling of dopaminergic neurons from the substantia nigra pars compacta and ventral tegmental area regions of the mouse mid-brain Overall design: Murine midbrain dopaminergic neurons from the SNpc and VTA regions

Publication Title

Identification of neurodegenerative factors using translatome-regulatory network analysis.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP036861
RNA-SEQ profiling of dopaminergic neurons from the mid-brain of mice that received intraperitoneal injections of MPTP
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

RNA-SEQ of dopaminergic neurons from the mid-brain of mice that received one daily intraperitoneal injection of MPTP-HCl (30 mg/kg free base per day) or saline for five consecutive days. Samples were taken 4 days. Overall design: Murine midbrain dopaminergic neurons that were treated with MPTP-HCl

Publication Title

Identification of neurodegenerative factors using translatome-regulatory network analysis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE7762
Morphine effects on striatal transcriptome in four inbred mouse strains
  • organism-icon Mus musculus
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Chronic opiate use produces molecular and cellular adaptations in the nervous system, leading to tolerance, physical dependence and addiction. Genome-wide comparison of morphine-induced changes in brain transcription of mouse strains with different opioid-related phenotypes provides an opportunity to discover the relationship between gene expression and behavioral response to the drug.

Publication Title

Morphine effects on striatal transcriptome in mice.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE30305
Transcriptional effects of chronic heroin and methamphetamine treatment in the mouse striatum
  • organism-icon Mus musculus
  • sample-icon 78 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

To identify molecular effects of chronic drug treatment, heroin and methamphetamine treated animals were compared with saline treated animals at multiple time-points using microarray technology. Gene expression profile was assessed 14 h after the last dose of 1, 3, 6 or 12 days drug treatment and after 13, 15, 18 or 24 days of withdrawal.

Publication Title

Common transcriptional effects in the mouse striatum following chronic treatment with heroin and methamphetamine.

Sample Metadata Fields

Specimen part, Compound

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accession-icon GSE78280
Gene expression alterations produced by opioid self-administration in the mouse striatum
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Chronic exposure to opioids induces adaptations in brain function that lead to the formation of the behavioral and physiological symptoms of drug dependence and addiction.

Publication Title

Behavioral and transcriptional patterns of protracted opioid self-administration in mice.

Sample Metadata Fields

Specimen part

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accession-icon GSE8515
Identification of IL-1 and IL-6-responsive genes in human monocyte-derived macrophages
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Using whole-genome Affymetrix microarrays (HG-U133A), we characterized the transcriptome profile of cultured human macrophages stimulated for 4 h with interleukin 1 (IL-1) or interleukin 6 (IL-6). We found that, in distinction to liver cells, IL-1 is much more potent than IL-6 in modifying macrophage gene expression, although considerable heterogeneity in response of macrophages deriving from individual blood donors was observed. The obtained results permitted to identify a large number of cytokine-responsive genes. coding for proteins of unknown function that are now being studied in our laboratory. They may represent novel targets in the anti-inflammatory therapy.

Publication Title

Identification of interleukin-1 and interleukin-6-responsive genes in human monocyte-derived macrophages using microarrays.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE64028
Expression data from healthy human PB B cell subsets
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Human PB B cell subsets are functionally distinct and may derive from different developmental pathways, reflected by their differential gene expression profiles.

Publication Title

Functional capacities of human IgM memory B cells in early inflammatory responses and secondary germinal center reactions.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE15774
Transcriptional networks regulated by drugs of abuse in mouse striatum
  • organism-icon Mus musculus
  • sample-icon 108 Downloadable Samples
  • Technology Badge IconIllumina mouse-6 v1.1 expression beadchip

Description

In summary, we characterized genomic signatures of response to drugs of abuse and we found positive correlations between the drug-induced expression and various behavioral effects. These signatures are formed by two dynamically inducible transcriptional networks: (1) CREB/SRF-dependent gene pattern that appears to be related to drug-induced neuronal activity, (2) the pattern of genes controlled at least in part via release of glucocorticoids and androgens that are associated with rewarding and harmful drug effects. The discovery of co-expressed networks of genes allowed for the identification of master-switch controlling factors involved in molecular response to the drugs. Finally, using the pharmacological tools we were able to dissect and inhibit particular gene expression patterns from genomic profile.

Publication Title

The dissection of transcriptional modules regulated by various drugs of abuse in the mouse striatum.

Sample Metadata Fields

Compound, Time

View Samples
accession-icon SRP059322
Recurrent alterations of TNFAIP3 (A20) in T-cell large granular lymphocytic leukemia
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

We identified a novel recurrent genetic lesion in T-LGL. Mutations of the tumour suppressor gene TNFAIP3 causing amino-acid exchanges or protein truncations were seen in 3/39 cases (8%). Overall design: RNA sequencing (Illumina HiSeq 2500) of 5 index patients with paired tumor and non-tumor samples.

Publication Title

Recurrent alterations of TNFAIP3 (A20) in T-cell large granular lymphocytic leukemia.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP076871
Transcriptome profiling of self-renewing hESCs and multipotent mesoderm progenitor cells as a function of substrate stiffness
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We performed RNA-sequencing on human embryonic stem cell samples grown on soft (400Pa) and stiff (60kPa) hydrogels under self-renewal and differentiation conditions Overall design: Whole-transcriptome RNA sequencing in the conditions described

Publication Title

Tissue Mechanics Orchestrate Wnt-Dependent Human Embryonic Stem Cell Differentiation.

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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

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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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