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accession-icon GSE42358
Transcriptome analysis of CD16/CD62L neutrophil subsets during human experimental endotoxemia
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

During systemic inflammation, different neutrophil subsets are mobilized to the blood circulation. These neutrophil subsets can be distinguished from normal circulating neutrophils (CD16bright/CD62Lbright) based on either an immature CD16dim/CD62Lbright or a CD16bright/CD62Ldim phenotype. Interestingly, the latter neutrophil subset is known to suppress lymphocyte proliferation ex vivo, but the underlying mechanism is largely unknown.

Publication Title

IFN-γ-stimulated neutrophils suppress lymphocyte proliferation through expression of PD-L1.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Treatment

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accession-icon GSE82107
Synovial biopsies of osteoarthritis patients
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Synovial biopsies were obtained from osteoarthritis (OA) synovium to find genes upregulated during OA.

Publication Title

Functional Tissue Analysis Reveals Successful Cryopreservation of Human Osteoarthritic Synovium.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE77298
Synovial biopsies of rheumatoid arthritis and healthy controls
  • organism-icon Homo sapiens
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Synovial biopsies were obtained from rheumatoid arthritis (RA) synovium and from subjects without a joint disease to find gene upregulated during RA.

Publication Title

Disease-Regulated Gene Therapy with Anti-Inflammatory Interleukin-10 Under the Control of the CXCL10 Promoter for the Treatment of Rheumatoid Arthritis.

Sample Metadata Fields

Disease, Disease stage

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accession-icon SRP043035
IL-17A induces inhibition of OB function
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

We report that IL-17A has an inhibitory effect on osteoblastogenesis. Overall design: Pre-osteoblasts were treated with vehicle or 50ng/ml IL-17A for 7 days.

Publication Title

Chronic skin inflammation leads to bone loss by IL-17-mediated inhibition of Wnt signaling in osteoblasts.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP031459
MicroRNA profiling of primary cutaneous large B-cell lymphomas
  • organism-icon Homo sapiens
  • sample-icon 23 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerII

Description

High-throughput sequencing of primary cutaneous follicle center lymphoma (PCFCL), primary cutaneous diffuse large B-cell lymphoma, leg type (PCLBCL-LT) and in vitro activated peripheral blood B-cells. We performed high-throughput sequencing analysis on frozen tumor biopsies from 19 cases of PCFCL and PCLBCL-LT to establish microRNA profiles. Cluster analysis of the complete microRNome could not distinguish between the two subtypes, but 16 single microRNAs were found to be differentially expressed. Overall design: Lymphoma miRNA profiles of were generated by deep sequencing, using Illumina Genome Analyzer II.

Publication Title

MicroRNA profiling of primary cutaneous large B-cell lymphomas.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE30678
Profiling of Jurkat T cells activated with CD3, CD28 and PMA and multiple kinase inhibitors at 1 and 8 hours
  • organism-icon Homo sapiens
  • sample-icon 77 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

Molecular pathway profiling of T lymphocyte signal transduction pathways; Th1 and Th2 genomic fingerprints are defined by TCR and CD28-mediated signaling.

Sample Metadata Fields

Cell line, Treatment, Time

View Samples
accession-icon GSE30674
Profiling of Jurkat T cells activated with CD3, CD28 and PMA and multiple kinase inhibitors
  • organism-icon Homo sapiens
  • sample-icon 53 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

T lymphocytes are orchestrators of adaptive immunity. Nave T cells may differentiate into the Th1, Th2, Th17 or iTreg phenotype, depending on environmental co-stimulatory signals. In order to identify the genes and pathways involved in differentiation of Jurkat T cells towards Th1 and Th2 subtypes we performed comprehensive transcriptome analyses of Jurkat T cells stimulated with various stimuli an pathway inhibitors

Publication Title

Molecular pathway profiling of T lymphocyte signal transduction pathways; Th1 and Th2 genomic fingerprints are defined by TCR and CD28-mediated signaling.

Sample Metadata Fields

Cell line, Treatment

View Samples
accession-icon GSE30676
Profiling of Jurkat T cells activated with CD3, CD28 and PMA at 1 and 8 hours
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

T lymphocytes are orchestrators of adaptive immunity. Nave T cells may differentiate into the Th1, Th2, Th17 or iTreg phenotype, depending on environmental co-stimulatory signals. In order to identify the genes and pathways involved in differentiation of Jurkat T cells towards Th1 and Th2 subtypes we performed comprehensive transcriptome analyses of Jurkat T cells stimulated with various stimuli an pathway inhibitors

Publication Title

Molecular pathway profiling of T lymphocyte signal transduction pathways; Th1 and Th2 genomic fingerprints are defined by TCR and CD28-mediated signaling.

Sample Metadata Fields

Cell line, Treatment, Time

View Samples
accession-icon GSE100020
Three-dimensional tumor cell growth stimulates autophagic flux and recapitulates chemotherapy resistance
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Current preclinical models in tumor biology are limited in their ability to recapitulate relevant (patho-) physiological processes, including autophagy. Three-dimensional (3D) growth cultures have frequently been proposed to overcome the lack of correlation between two-dimensional (2D) monolayer cell cultures and human tumors in preclinical drug testing. Besides 3D growth, it is also advantageous to simulate shear stress, compound flux and removal of metabolites, e.g. via bioreactor systems, through which culture medium is constantly pumped at a flow rate reflecting physiological conditions. Here, we show that both Staticic 3D growth and 3D growth within a bioreactor system modulate key hallmarks of cancer cells, including proliferation and cell death as well as macroautophagy, a recycling pathway often activated by highly proliferative tumors to cope with metabolic stress. The autophagy-related gene expression profiles of 2D- and 3D-grown cells are substantially different, with the 3D-grown cells exhibiting an expression profile closely resembling the (patho-) physiological Statice of a tumor. Underscoring the importance of this pathway, autophagy-controlling transcription factors, such as TFEB and FOXO3, are upregulated in tumors, and 3D-grown cells have increased expression compared with cells grown in 2D conditions. Three-dimensional cultures depleted of the autophagy mediators BECN1, ATG5 or ATG7 or the transcription factor FOXO3, are more sensitive to cytotoxic treatment. Accordingly, combining cytotoxic treatment with compounds affecting late autophagic flux, such as chloroquine, renders the 3D-grown cells more susceptible to therapy and increases intracellular doxorubicin concentration to the level of 2D-grown cells. Altogether, 3D cultures are a valuable tool to study drug response of tumor cells, as these models recapitulate (patho-) physiologically relevant pathways, such as autophagy.

Publication Title

Three-dimensional tumor cell growth stimulates autophagic flux and recapitulates chemotherapy resistance.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE2665
Lymphe node vs. Tonsil
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Lymph node vs. tonsil

Publication Title

Differential expression of a gene signature for scavenger/lectin receptors by endothelial cells and macrophages in human lymph node sinuses, the primary sites of regional metastasis.

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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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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