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accession-icon GSE54497
Molecular diversity of breast cancers at the time of endocrine resistance
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE54479
Molecular diversity of breast cancers at the time of endocrine resistance [mRNA]
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

Dataset containing whole-genome expression profiles of breast cancers at the time of endocrine resistance. It has been used to identify five distinctive phenotypes with different expression of gene clusters associated with ER-signalling, stromal rearrangement and cytokine-signalling. Pathway-focused analysis suggested individual tumours with active ER-signalling (24/55, 44%), PIK3CA-signalling (18/55, 32%), RAS (12/55, 22%) and MYC-signalling (11/55, 20%). 3 or 4 of the above pathways were simultaneously active in 6/55 (11%) cases. Results provide important information about prevalence of different mechanisms of endocrine resistance in clinical samples of breast cancer.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE98793
Gene expression analysis in whole blood samples obtained from donors diagnosed with MDD compared to healthy controls
  • organism-icon Homo sapiens
  • sample-icon 188 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This study investigated gene expression changes in whole blood samples obtained from donors diagnosed with major depressive disorder (MDD) compared to healthy controls. Micro-array data were available from whole blood on patients with MDD (N=128, 64 with generalised anxiety disorder, diagnosed by the MINI questionnaire, and 64 without anxiety disorder) and healthy controls (N=64). RNA was isolated from all samples using the standard PAXgene protocol on the Qiagen Biorobot 8000. All samples gave good quality RNA, as assessed by Agilent Bioanalyser. The yield range was 0.86-15.05ug with an average of 6.25ug. Samples were then randomised into batches, with each batch containing a representative number of controls, depression with anxiety and depression without anxiety, and the same ratio of females to males (3:1). 50ng of RNA from each sample was converted to a biotin labeled cDNA probe using NuGEN SPIA amplification. The probes were then hybridized to Affymetrix U133_Plus2.0 Genechips.

Publication Title

Replicable and Coupled Changes in Innate and Adaptive Immune Gene Expression in Two Case-Control Studies of Blood Microarrays in Major Depressive Disorder.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE10026
High resolution gene expression profiling for simultaneous analysis of RNA synthesis, abundance and decay
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 112 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2), Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Conserved principles of mammalian transcriptional regulation revealed by RNA half-life.

Sample Metadata Fields

No sample metadata fields

View Samples
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 GSE21554
An integrated genomic and expression analysis of 7q deletion in splenic marginal zone lymphoma (Main Study)
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Splenic marginal zone lymphoma (SMZL) is an indolent B-cell lymphoproliferative disorder characterised by 7q32 deletion, but the target genes of this deletion remain unknown. In order to elucidate the genetic target of this deletion, we performed an integrative analysis of the genetic, epigenetic, transcriptomic and miRNomic data. High resolution array comparative genomic hybridization of 56 cases of SMZL delineated a minimally deleted region (2.8Mb) at 7q32, but showed no evidence of any cryptic homozygous deletion or recurrent breakpoint in this region. Integrative transcriptomic analysis confirmed significant under-expression of a number of genes in this region in cases of SMZL with deletion, several of which showed hypermethylation. In addition, a cluster of 8 miRNA in this region showed under-expression in cases with the deletion, and three (miR-182/96/183) were also significantly under-expressed (P <0.05) in SMZL relative to other lymphomas. Genomic sequencing of these miRNA and IRF5, a strong candidate gene, did not show any evidence of somatic mutation in SMZL.

Publication Title

An integrated genomic and expression analysis of 7q deletion in splenic marginal zone lymphoma.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE74663
High FGFR2 expression is associated with reduced breast cancer risk and represses the estrogen response
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

FGFR2 risk SNPs confer breast cancer risk by augmenting oestrogen responsiveness.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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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 GSE21689
MozAtlas: A comprehensive gene expression atlas of sex- and tissue-specificity in the malaria vector, Anopheles gambiae.
  • organism-icon Anopheles gambiae
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Plasmodium/Anopheles Genome Array (plasmodiumanopheles)

Description

Background.

Publication Title

A comprehensive gene expression atlas of sex- and tissue-specificity in the malaria vector, Anopheles gambiae.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE49150
Effects of age and exposure to cyclic ovarian hormones on mouse myometrium
  • organism-icon Mus musculus
  • sample-icon 58 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.1 ST Array (mogene11st)

Description

Delaying first childbirth is associated with a range of pregnancy complications, but the mechanisms underlying this are unclear. We have hypothesized that prolonged, cyclical, pre-pregnancy exposure to estrogen and progesterone contributes to age-related deterioration of uterine function. We conducted a series of studies in virgin mice of varying age and exposure to hormonal manipulations. We compared the myometrial transcript profile from young (10-12 weeks, n=7) and old (28-30 weeks, n=7) mice. We validated this list using a second experiment of young versus old mice housed in a different animal facility and comparing animals of 10-12 (n=8) and 38-40 (n=7) weeks of age. The pattern of change in these transcripts was very similar. We determined whether removal of the ovaries in early life (8-10 weeks of age) prevented age-related changes. When we compared old animals (38-40 weeks) which had early ovariectomy (n=7) with sham operated controls of the same age (n=7), we found that the transcripts which had been down-regulated by age were upregulated in old animals that had an early ovariectomy. The converse was observed for genes which had been downregulated by age. Hence, early ovariectomy prevented changes in myometrial gene expression associated with aging. We then studied the effect of prolonged, continuous exposure to progesterone between 8 and 36 weeks of age. When we compared old animals (38-40 weeks) that received progesterone implants from 8 to 36-38 weeks (n=10) with old animals receiving implants containing only vehicle (n=5), transcripts which had been down-regulated by age were upregulated by prolonged exposure to progesterone. The converse was observed for genes which had been downregulated by age. Hence, prolonged exposure to progesterone also ameliorated changes in myometrial gene expression associated with aging.

Publication Title

Age-related changes in murine myometrial transcript profile are mediated by exposure to the female sex hormones.

Sample Metadata Fields

Specimen part

View Samples
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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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