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accession-icon GSE53454
Human islets exposed to cytokines IL-1 and IFN-
  • organism-icon Homo sapiens
  • sample-icon 86 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In the context of T1 Diabetes, pro-inflammatory cytokines IL-1 and IFN- are known to contribute to -cell apoptosis;

Publication Title

Temporal profiling of cytokine-induced genes in pancreatic β-cells by meta-analysis and network inference.

Sample Metadata Fields

Specimen part, Treatment, Time

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accession-icon GSE53453
Rat insulin-producing INS-1E exposed to cytokines IL-1 and IFN-
  • organism-icon Rattus norvegicus
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 1.0 ST Array (ragene10st)

Description

In the context of T1 Diabetes, pro-inflammatory cytokines IL-1 and IFN- are known to contribute to -cell apoptosis;

Publication Title

Temporal profiling of cytokine-induced genes in pancreatic β-cells by meta-analysis and network inference.

Sample Metadata Fields

Cell line, Treatment, Time

View Samples
accession-icon GSE6532
Definition of clinically distinct molecular subtypes in estrogen receptor positive breast carcinomas using genomic grade
  • organism-icon Homo sapiens
  • sample-icon 737 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Purpose: A number of microarray studies have reported distinct molecular profiles of breast cancers (BC): basal-like, ErbB2-like and two to three luminal-like subtypes. These were associated with different clinical outcomes. However, although the basal and the ErbB2 subtypes are repeatedly recognized, identification of estrogen receptor (ER)-positive subtypes has been inconsistent. Refinement of their molecular definition is therefore needed.

Publication Title

Definition of clinically distinct molecular subtypes in estrogen receptor-positive breast carcinomas through genomic grade.

Sample Metadata Fields

Age, Disease stage

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accession-icon GSE49039
Comparison of gene expression from thymocyte populations and equivalent OP9-DL1 cultured cells
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Comparison between ex vivo immature, mature and stimulated T cells and in vitro generated counterparts. The T cells generated in vitro were cultured on OP9-DL1 stroma supplied with growth factors.

Publication Title

In vitro generation of mature, naive antigen-specific CD8(+) T cells with a single T-cell receptor by agonist selection.

Sample Metadata Fields

Specimen part

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accession-icon GSE65682
Genome-wide blood transcriptional profiling in critically ill patients - MARS consortium
  • organism-icon Homo sapiens
  • sample-icon 802 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

The host response in critically ill patients with sepsis, septic shock remains poorly defined. Considerable research has been conducted to accurately distinguish patients with sepsis from those with non-infectious causes of disease. Technological innovations have positioned systems biology at the forefront of biomarker discovery. Analysis of the whole-blood leukocyte transcriptome enables the assessment of thousands of molecular signals beyond simply measuring several proteins in plasma, which for use as biomarkers is important since combinations of biomarkers likely provide more diagnostic accuracy than the measurement of single ones or a few. Evidence suggests that genome-wide transcriptional profiling of blood leukocytes can assist in differentiating between infection and non-infectious causes of severe disease. Of importance, RNA biomarkers have the potential advantage that they can be measured reliably in rapid quantitative reverse transcriptase polymerase chain reaction (qRT-PCR)-based point of care tests.

Publication Title

A molecular biomarker to diagnose community-acquired pneumonia on intensive care unit admission.

Sample Metadata Fields

Sex, Age

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accession-icon GSE9195
Predicting prognosis using molecular profiling in estrogen receptor-positive breast cancer treated with tamoxifen
  • organism-icon Homo sapiens
  • sample-icon 77 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Background: Estrogen receptor positive (ER+) breast cancers (BC) are heterogeneous with regard to their clinical behavior and response to therapies. The ER is currently the best predictor of response to the anti-estrogen agent tamoxifen, yet up to 30-40% of ER+BC will relapse despite tamoxifen treatment. New prognostic biomarkers and further biological understanding of tamoxifen resistance are required. We used gene expression profiling to develop an outcome-based predictor using a training set of 255 ER+ BC samples from women treated with adjuvant tamoxifen monotherapy. We used clusters of highly correlated genes to develop our predictor to facilitate both signature stability and biological interpretation. Independent validation was performed using 362 tamoxifen-treated ER+ BC samples obtained from multiple institutions and treated with tamoxifen only in the adjuvant and metastatic settings.

Publication Title

Predicting prognosis using molecular profiling in estrogen receptor-positive breast cancer treated with tamoxifen.

Sample Metadata Fields

Age, Disease stage, Treatment

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accession-icon GSE20257
Smoking-induced Disarray of the Apical Junctional Complex Gene Expression Architecture in the Human Airway Epithelium
  • organism-icon Homo sapiens
  • sample-icon 118 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Full Length HuGeneFL Array (hu6800), Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The apical junctional complex (AJC), composed of tight junctions and adherens junctions, is essential for maintaining epithelial barrier function. Since cigarette smoking and chronic obstructive pulmonary disease (COPD), the major smoking-induced disease, are both associated with increased lung epithelial permeability, we hypothesized that smoking alters the transcriptional program regulating AJC integrity in the small airway epithelium (SAE), the primary site of pathological changes in COPD. Transcriptome analysis revealed a global down-regulation of physiological AJC gene expression in the SAE of healthy smokers (n=53) compared to healthy nonsmokers (n=59), an observation associated with changes in molecular pathways regulating epithelial differentiation such as PTEN signaling and accompanied by induction of cancer-related AJC genes. Genome-wide co-expression analysis identified a smoking-sensitive AJC transcriptional network. The overall expression of AJC-associated genes was further decreased in COPD smokers (n=23). Exposure of human airway epithelial cells to cigarette smoke extract in vitro resulted in down-regulation of several AJC-related genes, accompanied by decreased transepithelial resistance. Thus, cigarette smoking alters the AJC gene expression architecture in the human airway epithelium, providing a molecular basis for the dysregulation of airway epithelial barrier function during the development of smoking-induced lung disease.

Publication Title

Cigarette smoking reprograms apical junctional complex molecular architecture in the human airway epithelium in vivo.

Sample Metadata Fields

Sex, Age

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accession-icon GSE74195
Differential expression and prognostic significant of SOX genes in pediatric medulloblastoma and ependymoma identified by microarray analysis
  • organism-icon Homo sapiens
  • sample-icon 45 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This file contains the expression data for pediatric medulloblastomas and ependymomas

Publication Title

Differential expression and prognostic significance of SOX genes in pediatric medulloblastoma and ependymoma identified by microarray analysis.

Sample Metadata Fields

Specimen part

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accession-icon SRP033466
Transcriptome analysis of Jurkat T cells expressing MALT1 or its mutants MALT1-R149A and MALT1-C464A or the MALT1-R149A-C464A double mutant.
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Purpose: study the role of MALT1 auto-proteolysis in T cell receptor mediated activation of NF-kB. Methods: Jurkat cells were generated that express wild type MALT1, the auto-cleavage deficient MALT1-R149A mutant, the catalytic inactive MALT1-C464A mutant or the R149A-C464A double mutant (RACA). Expression of endogenous MALT1 was inactivated using TALEN technology for the Jurkat cells expressing MALT1-R149A (JDM-RA) and MALT1-C464A (JDM-CA). Illumina HISeq 2000 deep sequencing was performed to determine the mRNA profiles for MALT1, JDM-RA, JDM-CA and RACA cells in unstimulated conditions or after treatment with 75ng/ml PMA and 150 ng/ml ionomycin for 3 or 18 hrs. Results: PMA ionomycin stimulation of the MALT1 auto-cleavage defective JDM-RA cells fails to activate NF-kB-dependent transcription like for the MALT1 catalytic inactive JDM-CA cells and the double RACA mutant cells. Conclusion: MALT1 autoproteolysis is essential for transcription of NF-kB target genes Overall design: mRNA profiles of Jurkat expressing MALT1, MALT1-R149A, MALT1-C464A and MALT1-R149A-C464A after 0, 3 and 18 hours of stimulation with PMA and Ionomycin were generated by deep sequencing, in duplicate, using Illumina HISeq 2000

Publication Title

MALT1 auto-proteolysis is essential for NF-κB-dependent gene transcription in activated lymphocytes.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE94380
Gene expression data of Peyer's patch conventional dendritic cells and macrophages at steady state and under TLR7 ligand stimulation
  • organism-icon Mus musculus
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The initiation of the mucosal immune response in Peyers patch (PP) relies on the sampling, processing and efficient presentation of foreign antigens by dendritic cells (DC). PP DC encompass five subsets, among which CD11b+ conventional DC (cDC) and LysoDC have distinct progenitors and functions but share many cell surface markers. This has previously led to confusion between these two subsets. In addition, another PP DC subset, termed double-negative (DN), remains poorly characterized. Here, we have studied the genetic relatedness of the different subsets of PP cDC at steady state and under TLR7 ligand stimulation. We also provide the transcriptional profiles of subepithelial TIM-4- and interfollicular TIM-4+ macrophages.

Publication Title

Distribution, location, and transcriptional profile of Peyer's patch conventional DC subsets at steady state and under TLR7 ligand stimulation.

Sample Metadata Fields

Sex, Age, Specimen part, Treatment

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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)

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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