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accession-icon GSE108868
Expression data of the human colorectal cancer cell line HCT116 in response to MS-275 and hydroxyurea treatment
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

MS-275 and hydroxyurea treatment influences whole gene expression including DNA damage response and cell cycle checkpoint signaling.

Publication Title

HDAC1 and HDAC2 integrate checkpoint kinase phosphorylation and cell fate through the phosphatase-2A subunit PR130.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE112681
Whole blood transcriptome analysis in amyotrophic lateral sclerosis: a biomarker study
  • organism-icon Homo sapiens
  • sample-icon 1117 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Whole blood transcriptome analysis in amyotrophic lateral sclerosis: A biomarker study.

Sample Metadata Fields

Sex, Disease

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accession-icon GSE112676
Whole blood transcriptome analysis in amyotrophic lateral sclerosis: a biomarker study [HT12_V3]
  • organism-icon Homo sapiens
  • sample-icon 741 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

Transcriptome-wide analysis of whole blood gene expression profiles of ALS patients, gender- and age-matched controls and patients diagnosed with diseases mimicking ALS at a tertiary referral center for motor neuron diseases.

Publication Title

Whole blood transcriptome analysis in amyotrophic lateral sclerosis: A biomarker study.

Sample Metadata Fields

Sex, Disease

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accession-icon GSE52428
Host gene expression signatures of influenza A H1N1 and H3N2 virus infection in adults
  • organism-icon Homo sapiens
  • sample-icon 647 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Diagnosis of influenza A infection is currently based on clinical symptoms and pathogen detection. Use of host peripheral blood gene expression data to classify individuals with influenza A virus infection represents a novel approach to infection diagnosis

Publication Title

A host transcriptional signature for presymptomatic detection of infection in humans exposed to influenza H1N1 or H3N2.

Sample Metadata Fields

Specimen part, Subject, Time

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accession-icon GSE43974
Pathways for intervention to optimize donor organ quality uncovered: a genome wide gene expression study
  • organism-icon Homo sapiens
  • sample-icon 554 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Background: Strategies to improve long term renal allograft survival have been directed to recipient dependent mechanisms of renal allograft injury. In contrast, no such efforts have been made to optimize organ quality in the donor. In order to get insight into the deleterious gene pathways expressed at different time points during deceased kidney transplantation, transcriptomics was performed on kidney biopsies from a large cohort of deceased kidney transplants.

Publication Title

Hypoxia and Complement-and-Coagulation Pathways in the Deceased Organ Donor as the Major Target for Intervention to Improve Renal Allograft Outcome.

Sample Metadata Fields

Specimen part

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accession-icon GSE112680
Whole blood transcriptome analysis in amyotrophic lateral sclerosis: a biomarker study [HT12_V4]
  • organism-icon Homo sapiens
  • sample-icon 376 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

Transcriptome-wide analysis of whole blood gene expression profiles of ALS patients, gender- and age-matched controls and patients diagnosed with diseases mimicking ALS at a tertiary referral center for motor neuron diseases.

Publication Title

Whole blood transcriptome analysis in amyotrophic lateral sclerosis: A biomarker study.

Sample Metadata Fields

Sex, Disease

View Samples
accession-icon GSE36221
Airway gene expression is dynamic with corticosteroid treatment and reflects disease activity
  • organism-icon Homo sapiens
  • sample-icon 218 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Introduction: In the recently completed Dutch GLUCOLD study, treatment of COPD patients with fluticasone salmeterol reduced the rate of decline in FEV1. These results indicate that ICS can have therapeutic efficacy in COPD. Aim: To explore the molecular mechanisms by which ICS exert their effects, we performed genome-wide gene expression profiling on bronchial biopsies from COPD patients who participated in the GLUCOLD study. Methods: An Affymetrix Human Gene Array ST version 1.0 was performed in a total of 221 bronchial biopsies that were available from 90 COPD patients at baseline and after 6 and 30 months of therapy. Linear mixed effects modeling was used to analyze treatment-specific changes in gene expression. A validation set was included and pathway analysis was performed with Gene Set Enrichment Analysis (GSEA). Results: The expression of 138 genes significantly decreased after both 6 and 30 months of treatment with fluticasone salmeterol versus placebo, whereas the expression of 140 genes increased. A more pronounced treatment-induced change in expression of 51 of these 278 genes was associated with a slower rate of decline in FEV1. Genes that decreased with treatment were involved in pathways related to cell cycle, oxidative phosphorylation, epithelial cell signaling, p53 signaling and T cell signaling. Genes that increased with treatment were involved in pathways related to focal adhesion, gap junction and extracellular matrix deposition. Conclusion: The present study suggests that gene expression in biological pathways of COPD is dynamic with treatment and reflects disease activity. This study opens the gate to targeted and phenotype-driven therapy of COPD.

Publication Title

Airway gene expression in COPD is dynamic with inhaled corticosteroid treatment and reflects biological pathways associated with disease activity.

Sample Metadata Fields

Age

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accession-icon GSE4115
Airway Epithelial Gene Expression Diagnostic for the Evaluation of Smokers with Suspect Lung Cancer
  • organism-icon Homo sapiens
  • sample-icon 192 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

RNA was obtained from histologically normal bronchial epithelium of smokers during time of clinical bronchoscopy from relatively accessible airway tissue. Gene expression data from smokers with lung cancer was compared with samples from smokers without lung cancer. This allowed us to generate a diagnostic gene expression profile that could distinguish the two classes. This profile could provide additional clinical benefit in diagnosing cancer amongst smokers with suspect lung cancer.

Publication Title

Airway epithelial gene expression in the diagnostic evaluation of smokers with suspect lung cancer.

Sample Metadata Fields

Sex, Age, Race

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accession-icon GSE40760
The E-myc Mouse Model Represents Heterogeneity Across Human Aggressive B-cell Lymphomas
  • organism-icon Mus musculus
  • sample-icon 115 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

Utilization of the Eμ-Myc mouse to model heterogeneity of therapeutic response.

Sample Metadata Fields

Specimen part

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accession-icon GSE76340
Gene expression analysis of hematological malignancies and healthy (non-)hematopoietic cell types
  • organism-icon Homo sapiens
  • sample-icon 166 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

Cellular immunotherapy has proven to be effective in the treatment of hematological cancers by donor lymphocyte infusion after allogeneic hematopoietic stem cell transplantation and more recently by targeted therapy with chimeric antigen or T-cell receptor-engineered T-cells. However, dependent on the tissue distribution of the antigens that are targeted, anti-tumor responses can be accompanied by undesired side effects. Therefore, detailed tissue distribution analysis is essential to estimate efficacy and toxicity of candidate targets for immunotherapy of hematological malignancies. In this study, we performed microarray gene expression analysis of hematological malignancies of different origins, healthy hematopoietic cells and various non-hematopoietic cell types from organs that are often targeted in detrimental immune responses after allogeneic stem cell transplantation leading to graft-versus-host disease. Non-hematopoietic cells were also cultured in the presence of IFN- to analyze gene expression under inflammatory circumstances. Gene expression was investigated by Illumina HT12.0 microarrays and quality control analysis was performed to confirm the cell-type origin and exclude contamination of non-hematopoietic cell samples with peripheral blood cells. Microarray data were validated by quantitative RT-PCR showing strong correlation between both platforms. Detailed gene expression profiles were generated for various minor histocompatibility antigens and B-cell surface antigens to illustrate the value of the microarray dataset to estimate efficacy and toxicity of candidate targets for immunotherapy. In conclusion, our microarray database provides a relevant platform to analyze and select candidate antigens with hematopoietic (lineage)-restricted expression as potential targets for immunotherapy of hematological cancers.

Publication Title

Integrated Whole Genome and Transcriptome Analysis Identified a Therapeutic Minor Histocompatibility Antigen in a Splice Variant of ITGB2.

Sample Metadata Fields

Specimen part, Cell line

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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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