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accession-icon GSE20189
A gene expression signature from peripheral whole blood for stage I lung adenocarcinoma
  • organism-icon Homo sapiens
  • sample-icon 160 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Affordable early screening in subjects with high risk of lung cancer has great potential to improve survival from this deadly disease. We measured gene expression from lung tissue and peripheral whole blood (PWB) from adenocarcinoma cases and controls to identify dysregulated lung cancer genes that could be tested in blood to improve identification of at-risk patients in the future. Genome-wide mRNA expression analysis was conducted in 153 subjects (73 adenocarcinoma cases, 80 controls) from the Environment And Genetics in Lung cancer Etiology (EAGLE) study using PWB and paired snap-frozen tumor and non-involved lung tissue samples. Analyses were conducted using unpaired t-tests, linear mixed effects and ANOVA models. The area under the receiver operating characteristic curve (AUC) was computed to assess the predictive accuracy of the identified biomarkers. We identified 50 dysregulated genes in stage I adenocarcinoma versus control PWB samples (False Discovery Rate 0.1, fold change 1.5 or 0.66). Among them, eight (TGFBR3, RUNX3, TRGC2, TRGV9, TARP, ACP1, VCAN, and TSTA3) differentiated paired tumor versus non-involved lung tissue samples in stage I cases, suggesting a similar pattern of lung cancer-related changes in PWB and lung tissue. These results were confirmed in two independent gene expression analyses in a blood-based case-control study (n=212) and a tumor-non tumor paired tissue study (n=54). The eight genes discriminated patients with lung cancer from healthy controls with high accuracy (AUC=0.81, 95% CI=0.74-0.87). Our finding suggests the use of gene expression from PWB for the identification of early detection markers of lung cancer in the future.

Publication Title

A gene expression signature from peripheral whole blood for stage I lung adenocarcinoma.

Alternate Accession IDs

E-GEOD-20189

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE39491
GLOBAL CHANGES IN GENE EXPRESSION OF BARRETT'S ESOPHAGUS COMPARED TO NORMAL SQUAMOUS ESOPHAGUS AND GASTRIC CARDIA TISSUES
  • organism-icon Homo sapiens
  • sample-icon 117 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Barretts esophagus (BE) is a metaplastic precursor lesion of esophageal adenocarcinoma (EA), the most rapidly increasing cancer in western societies. While the prevalence of BE is increasing, the vast majority of EA occurs in patients with undiagnosed BE. Thus, we sought to identify genes that are altered in BE compared to the normal mucosa of the esophagus, and which may be potential biomarkers for the development or diagnosis of BE.

Publication Title

Global changes in gene expression of Barrett's esophagus compared to normal squamous esophagus and gastric cardia tissues.

Alternate Accession IDs

E-GEOD-39491

Sample Metadata Fields

Specimen part

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accession-icon GSE28735
Microarray gene-expression profiles of 45 matching pairs of pancreatic tumor and adjacent non-tumor tissues from 45 patients with pancreatic ductal adenocarcinoma
  • organism-icon Homo sapiens
  • sample-icon 90 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

In order to identify biologically relevant tumor markers with prognostic significance, we set out to analyze gene expression profiling of tumor and adjacent non-tumor tissues from PDAC cases.

Publication Title

DPEP1 inhibits tumor cell invasiveness, enhances chemosensitivity and predicts clinical outcome in pancreatic ductal adenocarcinoma.

Alternate Accession IDs

E-GEOD-28735

Sample Metadata Fields

Specimen part

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accession-icon GSE85171
Epigenetic Reprogramming of mutant RAS-driven Rhabdomyosarcoma via MEK Inhibition
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 4 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

MEK inhibition induces MYOG and remodels super-enhancers in RAS-driven rhabdomyosarcoma.

Alternate Accession IDs

E-GEOD-85171

Sample Metadata Fields

Treatment, Time

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accession-icon GSE46124
ER, GR, and E2
  • organism-icon Mus musculus
  • sample-icon 8 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

Reprogramming the chromatin landscape: interplay of the estrogen and glucocorticoid receptors at the genomic level.

Alternate Accession IDs

E-GEOD-46124

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE12236
Whole Genome Exon Arrays Identify Differential Expression of Alternatively Spliced, Cancer-related Genes in Lung Cancer
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

Alternative processing of pre-mRNA transcripts is a major source of protein diversity in eukaryotes and has been implicated in several disease processes including cancer. In this study we have performed a genome wide analysis of alternative splicing events with the GeneChip Human Exon 1.0 ST Array from Affymetrix in lung adenocarcinoma. We found that ~13.3% of the 17800 core Refseq genes appear to have alternative transcripts that are differentially expressed in lung adenocarcinoma versus normal. According to their known functions the largest subset of these genes (30.8%) is believed to be cancer related. Detailed analysis was performed for several genes using PCR, quantitative RT-PCR and DNA sequencing. We found overexpression of ERG variant 2 but not variant 1 in lung tumors and overexpression of CEACAM1 variant 1 but not variant 2 in lung tumors but not in breast or colon tumors. We also identified a novel, overexpressed variant of CDH3 and verified the overexpression of a novel variant of P16. These findings demonstrate how analysis of alternative pre-mRNA processing can shed additional light on differences between tumors and normal tissues as well as between different tumor types. Such studies may lead to the development of additional tools for tumor diagnosis, prognosis and therapy.

Publication Title

Whole genome exon arrays identify differential expression of alternatively spliced, cancer-related genes in lung cancer.

Alternate Accession IDs

E-GEOD-12236

Sample Metadata Fields

Sex, Age, Race, Subject

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accession-icon GSE14202
Effects of calorie restriction and exercise on mammary gland gene expression in C57BL/6 mice
  • organism-icon Mus musculus
  • sample-icon 37 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

We performed a factorial experiment examining the effects of calorie restriction (CR) and exercise (EX) in mice. CR mice received 70% of calories but 100% of all other nutrients compared to AL mice. Food consumption, weight gain, and physical activity levels were recorded for 6 weeks.

Publication Title

Distinct effects of calorie restriction and exercise on mammary gland gene expression in C57BL/6 mice.

Alternate Accession IDs

E-GEOD-14202

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE75232
Genome-Wide Chromatin Landscape Transitions Identify Novel Pathways in Early Commitment to Osteoblast Differentiation
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Genome-Wide Chromatin Landscape Transitions Identify Novel Pathways in Early Commitment to Osteoblast Differentiation.

Alternate Accession IDs

E-GEOD-75232

Sample Metadata Fields

Specimen part, Cell line, Treatment, Time

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accession-icon GSE51414
Expression data from oxaliplatin-treated tumors from mice pre-treated or not with antibiotics cocktail
  • organism-icon Mus musculus
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The gut microbiota influences both local and systemic inflammation. Inflammation contributes to development, progression and treatment of cancer, but it remains unclear whether commensal bacteria affect inflammation in the sterile tumor microenvironment. Here we show that disruption of the microbiota impairs the response of subcutaneous tumors to CpG-oligonucleotide immunotherapy and platinum chemotherapy. In antibiotic-treated or germ-free mice, tumor-infiltrating myeloid-derived cells responded poorly to therapy, resulting in lower cytokine production and tumor necrosis after CpG-oligonucleotide treatment, and deficient production of reactive oxygen species and cytotoxicity following chemotherapy. Thus, optimal responses to cancer therapy require an intact commensal microbiota that mediates its effects by modulating myeloid-derived cell functions in the tumor microenvironment. These findings underscore the importance of the microbiota in the outcome of disease treatment.

Publication Title

Commensal bacteria control cancer response to therapy by modulating the tumor microenvironment.

Alternate Accession IDs

E-GEOD-51414

Sample Metadata Fields

Specimen part

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accession-icon GSE3202
MK886 treatment of H720 non-small cell lung cancer cell line
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In this experiments different treatments were applied to lung cancer cell lines

Publication Title

Ingenuity network-assisted transcription profiling: Identification of a new pharmacologic mechanism for MK886.

Alternate Accession IDs

E-GEOD-3202

Sample Metadata Fields

No sample metadata fields

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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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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