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accession-icon GSE5392
Expression profiling of human adult postmortem brain tissue from subjects with bipolar disorder and healthy controls
  • organism-icon Homo sapiens
  • sample-icon 80 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Bipolar affective disorder is a severe psychiatric disorder with a strong genetic component but unknown pathophysiology. We used microarray technology (Affymetrix HG-U133A GeneChips) to determine the expression of approximately 22 000 mRNA transcripts in post-mortem brain tissue (dorsolateral prefrontal cortex and orbitofrontal cortex) from patients with bipolar disorder and matched healthy controls.

Publication Title

Gene expression analysis of bipolar disorder reveals downregulation of the ubiquitin cycle and alterations in synaptic genes.

Sample Metadata Fields

Sex, Age, Disease

View Samples
accession-icon GSE5388
Adult postmortem brain tissue (dorsolateral prefrontal cortex) from subjects with bipolar disorder and healthy controls
  • organism-icon Homo sapiens
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Bipolar affective disorder is a severe psychiatric disorder with a strong genetic component but unknown pathophysiology. We used microarray technology (Affymetrix HG-U133A GeneChips) to determine the expression of approximately 22 000 mRNA transcripts in post-mortem brain tissue (dorsolateral prefrontal cortex) from patients with bipolar disorder and matched healthy controls. A cohort of 70 subjects was investigated and the final analysis included 30 bipolar and 31 control subjects. Differences between disease and control groups were identified using a rigorous statistical analysis with correction for confounding variables and multiple testing.

Publication Title

Gene expression analysis of bipolar disorder reveals downregulation of the ubiquitin cycle and alterations in synaptic genes.

Sample Metadata Fields

Sex, Age, Disease

View Samples
accession-icon GSE5389
Adult postmortem brain tissue (orbitofrontal cortex) from subjects with bipolar disorder and healthy controls
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Bipolar affective disorder is a severe psychiatric disorder with a strong genetic component but unknown pathophysiology. We used microarray technology (Affymetrix HG-U133A GeneChips) to determine the expression of approximately 22 000 mRNA transcripts in post-mortem brain tissue (orbitofrontal cortex) from patients with bipolar disorder and matched healthy controls. Orbitofrontal cortex tissue from a cohort of 30 subjects was investigated and the final analysis included 10 bipolar and 11 control subjects. Differences between disease and control groups were identified using a rigorous statistical analysis with correction for confounding variables and multiple testing.

Publication Title

Gene expression analysis of bipolar disorder reveals downregulation of the ubiquitin cycle and alterations in synaptic genes.

Sample Metadata Fields

Sex, Age, Disease

View Samples
accession-icon GSE5390
Expression profiling of human adult postmortem brain tissue from Down syndrome and healthy control subjects
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Down syndrome (DS) is the result of trisomy chromosome 21 but the mechanisms by which the genotype leads to the characteristic disease phenotype are unclear. We performed a microarray study using human adult brain tissue (dorsolateral prefrontal cortex) from DS subjects and healthy controls to characterise for the first time the human adult Down syndrome brain

Publication Title

Gene expression profiling in the adult Down syndrome brain.

Sample Metadata Fields

Sex, Age, Disease

View Samples
accession-icon GSE85033
A machine learning classifier trained on cancer transcriptomes detects NF1 inactivation signal in glioblastoma
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Analysis of gene expression in pathologically confirmed glioblastoma (GBM) samples. These data were used to test a classifier that was generated to distinguish GBM tumor samples with loss of neurofibromin 1 (NF1) function

Publication Title

A machine learning classifier trained on cancer transcriptomes detects NF1 inactivation signal in glioblastoma.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE27552
Physiological genomics of response to soil drying in diverse Arabidopsis accessions
  • organism-icon Arabidopsis thaliana
  • sample-icon 154 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Physiological genomics of response to soil drying in diverse Arabidopsis accessions.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE27548
cRNA hybridizations of 10 Spring annual accessions of Arabidopsis thaliana under well-watered and mild soil drying
  • organism-icon Arabidopsis thaliana
  • sample-icon 59 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

These data provide a basis for exploration of gene expression differences between physiologically diverse Spring annual accessions of Arabidopsis thaliana.

Publication Title

Physiological genomics of response to soil drying in diverse Arabidopsis accessions.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE27550
cRNA hybridizations of 18 accessions of Arabidopsis thaliana under well-watered and mild soil drying
  • organism-icon Arabidopsis thaliana
  • sample-icon 41 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

These data provide a basis for exploration of gene expression differences between physiologically diverse accessions of Arabidopsis thaliana.

Publication Title

Physiological genomics of response to soil drying in diverse Arabidopsis accessions.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE27549
Genomic dna hybridizations of 10 Spring annual accessions of Arabidopsis thaliana
  • organism-icon Arabidopsis thaliana
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

These data provide a basis for the detection of sequence based polymorphisms between 10 Spring annual accessions of Arabidopsis thaliana. The experimental data provides an initial characterization of differences among the accessions, as well as a means for improving gene expression studies with the filtering of SFP from arrays studies.

Publication Title

Physiological genomics of response to soil drying in diverse Arabidopsis accessions.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE20339
cRNA hybridizations of Tsu-1 and Kas-1 accessions of Arabidopsis thaliana under well-watered and mild soil drying
  • organism-icon Arabidopsis thaliana
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

These data provide a basis for exploration of gene expression differences between physiologically extreme accessions of Arabidopsis thaliana.

Publication Title

Exploring genetic and expression differences between physiologically extreme ecotypes: comparative genomic hybridization and gene expression studies of Kas-1 and Tsu-1 accessions of Arabidopsis thaliana.

Sample Metadata Fields

Specimen part, Treatment

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)

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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