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accession-icon GSE11227
Nocturnal Hemodialysis Improves Erythropoietin Responsiveness
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Nocturnal home hemodialysis (NHD) [5 6 times a week, 6-8 hours per session] augments uremia clearance and is associated with an increase in hemoglobin level. We have used microarray to have a global image of the changes at the gene expression.

Publication Title

Nocturnal hemodialysis improves erythropoietin responsiveness and growth of hematopoietic stem cells.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE36179
MDA-MB-231 eIF4E RIP-CHIP
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Cytoplasmic RNA bound to eIF4E was pulled down from MDA-MB-231 cells to determine the influence of radiation on eIF4E mRNA binding

Publication Title

Translation initiation factor eIF4E is a target for tumor cell radiosensitization.

Sample Metadata Fields

Cell line, Treatment, Time

View Samples
accession-icon GSE46263
Studies on mature endothelial cells; exploring mechanisms for improvement of cardiovascular diseases
  • organism-icon Homo sapiens
  • sample-icon 66 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Transcriptomic analysis of primary human umbilical vein endothelial cells (HUVEC). HUVEC were treated in vitro with CoCl2 to induce hypoxia, high glucose and high glucose plus hypoxia in different intervals (1, 3, 12 hours). Subsequently, the effect of metformin (anti-diabetic drug) on all conditions was studied to take advantage of transcriptomics to prospectively explore the mechanism of this drug to reduce the risk of cardiovascular diseases in type II diabetic patients.

Publication Title

Reference genes for expression studies in hypoxia and hyperglycemia models in human umbilical vein endothelial cells.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE100534
Expression profiling in breast cancer brain metastases compared to breast cancers and primary brain tumors
  • organism-icon Homo sapiens
  • sample-icon 33 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Experiment: Expression profiling in breast cancer brain metastases (BC) compared to breast cancers (BC) and primary brain tumors (prBT). The objectives are to identify expression profiles that are specific to BCBM in order to identify new molecular biomarkers. The characterization of the BCBM samples included adjacent genetic techniques.

Publication Title

Comprehensive molecular biomarker identification in breast cancer brain metastases.

Sample Metadata Fields

Sex, Specimen part, Disease stage

View Samples
accession-icon GSE66463
Differentially expression profiling in a brain metastasis of a papillary thyroid carcinoma and its technical replicate vs. non-brain metastatic papillary thyroid carcinomas, and primary brain tumors
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Experiment: Establishment of expression profiles in a brain metastasis from a PTC (RNA processing and hybridization to Affymetrix microarray done twice to yield a technical replicate), in non-brain metastatic, stage III and IV PTCs, and primary brain tumors. Biostatistics analysis identified genes and biofunctions related to the brain metastatic PTC.

Publication Title

Microarray expression profiling identifies genes, including cytokines, and biofunctions, as diapedesis, associated with a brain metastasis from a papillary thyroid carcinoma.

Sample Metadata Fields

Sex, Disease stage

View Samples
accession-icon GSE98925
The transcriptional signal of laser capture microdissection fibroblkastic foci from idiopathic pulmonary fibrosis (IPF) patients
  • organism-icon Homo sapiens
  • sample-icon 53 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Contractile and highly synthetic myofibroblasts are the key effector cells involved in excessive extracellular matrix (ECM) deposition in multiple fibrotic conditions, including idiopathic pulmonary fibrosis (IPF). In order to define the key drivers of the fibrotic response, we used laser capture microdissection to isolate RNA from myofibroblasts within fibroblastic foci and performed microarray analysis in combination with a novel eigengene approach to identify functional clusters of genes which associate with collagen gene expression.

Publication Title

Transcriptome analysis of IPF fibroblastic foci identifies key pathways involved in fibrogenesis.

Sample Metadata Fields

Specimen part, Disease, Subject

View Samples
accession-icon GSE54565
Expression data from human brain anterior cingulate cortex - including control samples and samples with major depression disorders (32 samples MD1_ACC)
  • organism-icon Homo sapiens
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Major depressive disorder is a heterogeneous illness with a mostly uncharacterized pathology. Large scale gene expression (transcriptome) analysis and genome-wide association studies (GWAS) for single nucleotide polymorphisms have generated a considerable amount of gene- and disease-related information, but heterogeneity and various sources of noise have limited the discovery of disease mechanisms. As systematic dataset integration is becoming essential, we developed methods and performed meta-clustering of gene coexpression links in 11 transcriptome studies from postmortem brains of human subjects with major depressive disorder (MDD) and non-psychiatric control subjects. We next sought enrichment in the top 50 meta-analyzed coexpression modules for genes otherwise identified by GWAS for various sets of disorders. One coexpression module of 88 genes was consistently and significantly associated with GWAS for MDD, other neuropsychiatric disorders and brain functions, and for medical illnesses with elevated clinical risk of depression, but not for other diseases (See publication for details).

Publication Title

A conserved BDNF, glutamate- and GABA-enriched gene module related to human depression identified by coexpression meta-analysis and DNA variant genome-wide association studies.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE54568
Expression data from human brain dorsolateral prefrontal cortex - including control samples and samples with major depression disorders (30 samples BA9_F)
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Major depressive disorder is a heterogeneous illness with a mostly uncharacterized pathology. Large scale gene expression (transcriptome) analysis and genome-wide association studies (GWAS) for single nucleotide polymorphisms have generated a considerable amount of gene- and disease-related information, but heterogeneity and various sources of noise have limited the discovery of disease mechanisms. As systematic dataset integration is becoming essential, we developed methods and performed meta-clustering of gene coexpression links in 11 transcriptome studies from postmortem brains of human subjects with major depressive disorder (MDD) and non-psychiatric control subjects. We next sought enrichment in the top 50 meta-analyzed coexpression modules for genes otherwise identified by GWAS for various sets of disorders. One coexpression module of 88 genes was consistently and significantly associated with GWAS for MDD, other neuropsychiatric disorders and brain functions, and for medical illnesses with elevated clinical risk of depression, but not for other diseases (See publication for details).

Publication Title

A conserved BDNF, glutamate- and GABA-enriched gene module related to human depression identified by coexpression meta-analysis and DNA variant genome-wide association studies.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE54566
Expression data from human brain amygdala - including control samples and samples with major depression disorders (28 samples MD1_AMY)
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Major depressive disorder is a heterogeneous illness with a mostly uncharacterized pathology. Large scale gene expression (transcriptome) analysis and genome-wide association studies (GWAS) for single nucleotide polymorphisms have generated a considerable amount of gene- and disease-related information, but heterogeneity and various sources of noise have limited the discovery of disease mechanisms. As systematic dataset integration is becoming essential, we developed methods and performed meta-clustering of gene coexpression links in 11 transcriptome studies from postmortem brains of human subjects with major depressive disorder (MDD) and non-psychiatric control subjects. We next sought enrichment in the top 50 meta-analyzed coexpression modules for genes otherwise identified by GWAS for various sets of disorders. One coexpression module of 88 genes was consistently and significantly associated with GWAS for MDD, other neuropsychiatric disorders and brain functions, and for medical illnesses with elevated clinical risk of depression, but not for other diseases (See publication for details).

Publication Title

A conserved BDNF, glutamate- and GABA-enriched gene module related to human depression identified by coexpression meta-analysis and DNA variant genome-wide association studies.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE54567
Expression data from human brain dorsolateral prefrontal cortex - including control samples and samples with major depression disorders (28 samples BA9_M)
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Major depressive disorder is a heterogeneous illness with a mostly uncharacterized pathology. Large scale gene expression (transcriptome) analysis and genome-wide association studies (GWAS) for single nucleotide polymorphisms have generated a considerable amount of gene- and disease-related information, but heterogeneity and various sources of noise have limited the discovery of disease mechanisms. As systematic dataset integration is becoming essential, we developed methods and performed meta-clustering of gene coexpression links in 11 transcriptome studies from postmortem brains of human subjects with major depressive disorder (MDD) and non-psychiatric control subjects. We next sought enrichment in the top 50 meta-analyzed coexpression modules for genes otherwise identified by GWAS for various sets of disorders. One coexpression module of 88 genes was consistently and significantly associated with GWAS for MDD, other neuropsychiatric disorders and brain functions, and for medical illnesses with elevated clinical risk of depression, but not for other diseases (See publication for details).

Publication Title

A conserved BDNF, glutamate- and GABA-enriched gene module related to human depression identified by coexpression meta-analysis and DNA variant genome-wide association studies.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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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