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accession-icon SRP065865
Gene Networks and Blood Biomarkers of Methamphetamine-Associated Psychosis: A Preliminary Integrative RNA-Sequencing Report
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

The clinical presentation, course and treatment of methamphetamine-associated psychosis (MAP) are similar to that observed in schizophrenia (SCZ) and subsequently MAP has been hypothesized as a pharmacological and environmental model of SCZ. However, several challenges currently exist in accurately diagnosing MAP at the molecular and neurocognitive level before the MAP model can contribute to the discovery of SCZ biomarkers. We directly assessed subcortical brain structural volumes and clinical parameters of MAP within the framework of an integrative genome-wide RNA-Seq blood transcriptome analysis of subjects diagnosed with MAP (N=10), METH-dependency without psychosis (MA) (N=10) and healthy controls (N=10). We used RNA-Sequencing gene expression to characterize molecular signatures associated to METH and MAP status compared to healthy control subjects. Overall design: Peripheral blood luekocytes gene expression was subject to transcriptional analysis for 10 MAP subjects, 10 subjects with METH-dependency without psychotic symptomics and 10 healthy controls.

Publication Title

Candidate gene networks and blood biomarkers of methamphetamine-associated psychosis: an integrative RNA-sequencing report.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP150459
Transcriptional profiling by 4SU-seq in mouse ESCs and ESC-derived neural progenitor cells.
  • organism-icon Mus musculus
  • sample-icon 31 Downloadable Samples
  • Technology Badge IconNextSeq 550

Description

Nascent RNA was metabolically labelled with 4SU in undifferentiated and ESC-derived neural progenitor cells (NPCs). 4SU incorporated RNA was isolated and deep-sequenced at day 0 (ESCs), 3, 5 and 7 of differentiation. NPC differentiation was monitored through expression of a GFP reporter insereted into the Sox1 locus (46C reporter ESC line; PMID: 12524553). The aim was to monitor changes in transcription as ESCs differentiate into NPCs and relate this to enhancer activity. Overall design: For each of the 4 differentiation time points, two independent biological replicates were prepared and sequenced. For each assayed time point, both merged and individual replicate 4SU-seq profiles were generated.

Publication Title

Decreased Enhancer-Promoter Proximity Accompanying Enhancer Activation.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE32015
Expression data from inducible ES stable cell lines
  • organism-icon Mus musculus
  • sample-icon 51 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

In order to identify the effects of the induction of the gene of interest on the mouse ES transcriptome, we performed Affymetrix Gene-Chip hybridization experiments for the different inducible cell lines

Publication Title

Reverse engineering a mouse embryonic stem cell-specific transcriptional network reveals a new modulator of neuronal differentiation.

Sample Metadata Fields

Specimen part

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accession-icon GSE31701
E130012A19Rik: Biomarker of Pluripotent Stem Cells
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Reverse engineering a mouse embryonic stem cell-specific transcriptional network reveals a new modulator of neuronal differentiation.

Sample Metadata Fields

Cell line

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accession-icon GSE31166
Expression data from inducible ES stable cell line
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

In order to identify the effects of the induction of the gene of interest on the mouse ES transcriptome, we performed Affymetrix Gene-Chip hybridization experiments for the inducible not-tagged cell line.

Publication Title

Reverse engineering a mouse embryonic stem cell-specific transcriptional network reveals a new modulator of neuronal differentiation.

Sample Metadata Fields

Cell line

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accession-icon GSE31165
Expression data from knock-down ES stable cell line
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

In order to identify the effects of the knock-down of the gene of interest on the mouse ES transcriptome, we performed Affymetrix Gene-Chip hybridization experiments for the knock-down cell line.

Publication Title

Reverse engineering a mouse embryonic stem cell-specific transcriptional network reveals a new modulator of neuronal differentiation.

Sample Metadata Fields

Cell line

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accession-icon SRP165285
RNA-Seq of WT and constitutively methylated mESCs
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconNextSeq 550

Description

WT J1 and 3B3L cells (in which Dnmt3B and Dnm3L are constitutively expressed from an exogenous construct) were cultured under both serum/LIF and 2i/LIF conditions. 3B3L cells do not show ground state-associated hypomethylation phenotype. This experiment sought to analyse the gene expression changes between the two conditions. Overall design: Three biological replicates per condition J1 serum, J1 2i, 3B3-3l serum, 3B3-3l 2i.

Publication Title

DNA Methylation Directs Polycomb-Dependent 3D Genome Re-organization in Naive Pluripotency.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE19190
Distinct epithelial gene expression phenotypes in childhood respiratory allergy
  • organism-icon Homo sapiens
  • sample-icon 57 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Distinct epithelial gene expression phenotypes in childhood respiratory allergy.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

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accession-icon GSE19187
Nasal epithelium gene expression profiling in child respiratory allergic disease
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Background: In asthma, airway epithelium remodeling can already be detected during childhood, and epithelial cells are more susceptible to virus and oxidative stress. Their exact role in natural history and severity of children allergic respiratory disease remains however surprisingly unexplored.

Publication Title

Distinct epithelial gene expression phenotypes in childhood respiratory allergy.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

View Samples
accession-icon GSE19182
Gene expression profiling of differentiated HNECs stimulated by IL4, IL13, IFNalpha, IFNbeta, IFNgamma and controls
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Background: In asthma, airway epithelium remodeling can already be detected during childhood, and epithelial cells are more susceptible to virus and oxidative stress. Their exact role in natural history and severity of children allergic respiratory disease remains however surprisingly unexplored.

Publication Title

Distinct epithelial gene expression phenotypes in childhood respiratory allergy.

Sample Metadata Fields

Specimen part, Disease

View Samples

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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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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