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accession-icon GSE37157
GENE-EXPRESSION ANALYSIS RELATED TO OLIVE POLLEN ALLERGY
  • organism-icon Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Analysis of gene-expression profiles by microarrays can be very useful to characterize new potential candidate genes, key regulatory networks, and to define phenotypes or molecular signatures to improve the diagnosis or classification of the disease. We have used this approach in the study of one of the major causes of allergic diseases in Mediterranean countries, the olive pollen response, in order to find differential molecular markers among five clinical groups, Non-allergic, Asymptomatic, Allergic but not to olive pollen, Non-treated, olive pollen allergic patients and Olive pollen allergic patients (under specific-immunotherapy). The results of gene-expression by principal components analysis (PCA) clearly showed five clusters of samples that correlated with the five clinical groups. Analysis of differential gene-expression by multiple testing, and functional analysis by KEGG and Gene-Ontology revealed differential genes and pathways among the 5 clinical groups.

Publication Title

Differential gene-expression analysis defines a molecular pattern related to olive pollen allergy.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE54522
Influence of olive pollen stimuli on the gene- expression profile in healthy controls and allergic patients
  • organism-icon Homo sapiens
  • sample-icon 42 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Analysis of gene-expression profiles with microarrays can be very useful to dissect specific responses and to characterize with a global view, new elements for improving the diagnosis, treatment and understanding of allergic diseases. We have used this approach for studying the olive pollen response, taking advantage our previous results of T-cell epitope mapping on Ole e 1 molecule (the major allergen from olive pollen) in order to analyze the stimuli influence on the gene-expression of olive pollen allergic patients. Peripheral blood mononuclear cells (PBMCs) from 6 healthy controls and 6 allergic subjects were stimulated 24 hours with olive pollen stimuli: Ole e 1 molecule and two Ole e 1 peptides previously defined as P2+3 (aa10-31), mainly recognized by non-allergic subjects (possible immunoregulatory epitope) and P10+12+13 (aa90-130), immunodominant T-cell epitope. RNA extracted from basal and stimulated PBMCs was analyzed by HuGeU133 plus 2.0 GeneChip, Affymetrix (38.500genes). After assessment of data quality by standard quality checks and principal components analysis (PCA), differential gene-expression by experimental conditions was performed by multiple testing, using microarrays specific software. Differences in functional analysis were performed by KEGG, for pathways and Gene-Ontology for biological process. The results of gene-expression by PCA showed differential clusters that correlated with the experimental conditions from samples of allergic patients. Analysis of differential gene-expression by multiple testing, and functional analysis by KEGG and Gene-Ontology revealed differential genes and pathways among the 4 experimental conditions.

Publication Title

Therapeutic targets for olive pollen allergy defined by gene markers modulated by Ole e 1-derived peptides.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE25414
Expression data from human blood samples
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Genetic factors contribute to the development of ischemic stroke but their identity remains largely unknown. We tested the association with ischemic stroke of 210 single nucleotide polymorphisms (SNPs) associated with pathways functionally related to stroke. We observed an association between the rs7956957 SNP in LRP1 and next performed microarrays analysis in healthy individuals to investigate possible associations of LRP genotypes with the expression of other genes.

Publication Title

Brain perihematoma genomic profile following spontaneous human intracerebral hemorrhage.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE24265
Expression data from human brain samples
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Spontaneous intracerebral hemorrhage (ICH) represents about 15% of all strokes and is associated with high mortality rates. Our aim was to identify the gene expression changes and biological pathways altered in the brain following ICH.

Publication Title

Brain perihematoma genomic profile following spontaneous human intracerebral hemorrhage.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon SRP091722
Genome-wide effect of AML engraftment on bone marrow endothelial cells
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We analysed the transcriptional signature in endothelial cells extracted from the bone marrow of mice engrafted with human AML and compared it to the one of mice engrafted with human normal hematopoietic cells Overall design: Immunodeficient mice were transplanted with human AML cells derived from patients, or with normal human hematopoietic cells derived from cord blood. Mice were sacrificed once assessed the bone marrow engraftment, and the bones were processed to isolate endothelial cells using the CD31 marker. RNA was extracted, sequencing libraries were prepared and sequenced.

Publication Title

Increased Vascular Permeability in the Bone Marrow Microenvironment Contributes to Disease Progression and Drug Response in Acute Myeloid Leukemia.

Sample Metadata Fields

Specimen part, Disease, Subject

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accession-icon GSE57573
Global gene expression profile of INS1E cells, hIAPP-INS1E cells and rIAPP-INS1E cells.
  • organism-icon Rattus norvegicus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 2.0 ST Array (ragene20st)

Description

Islet amyloid polypeptide (IAPP) is the main component of amyloid deposits in type 2 diabetic patients. Cells overexpressing the human transcript of IAPP (hIAPP) present defects in insulin secretion.

Publication Title

Inhibition of BACE2 counteracts hIAPP-induced insulin secretory defects in pancreatic β-cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE36669
Differential lipid partitioning between adipocytes and tissue macrophages modulates macrophage lipotoxicity and M2/M1 polarization in obese mice.
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Obesity-associated insulin resistance is characterized by a state of chronic, low-grade inflammation that is associated with the accumulation of M1 proinflammatory macrophages in adipose tissue. Although different evidence explains the mechanisms linking the expansion of adipose tissue and adipose tissue macrophage (ATM) polarization, in the current study we investigated the concept of lipid-induced toxicity as the pathogenic link that could explain the trigger of this response. We addressed this question using isolated ATMs and adipocytes from genetic and diet-induced murine models of obesity. Through transcriptomic and lipidomic analysis, we created a model integrating transcript and lipid species networks simultaneously occurring in adipocytes and ATMs and their reversibility by thiazolidinedione treatment. We show that polarization of ATMs is associated with lipid accumulation and the consequent formation of foam celllike cells in adipose tissue. Our study reveals that early stages of adipose tissue expansion are characterized by M2-polarized ATMs and that progressive lipid accumulation within ATMs heralds the M1 polarization, a macrophage phenotype associated with severe obesity and insulin resistance. Furthermore, rosiglitazone treatment, which promotes redistribution of lipids toward adipocytes and extends the M2 ATM polarization state, prevents the lipid alterations associated with M1 ATM polarization. Our data indicate that the M1 ATM polarization in obesity might be a macrophage-specific manifestation of a more general lipotoxic pathogenic mechanism. This indicates that strategies to optimize fat deposition and repartitioning toward adipocytes might improve insulin sensitivity by preventing ATM lipotoxicity and M1 polarization.

Publication Title

Differential lipid partitioning between adipocytes and tissue macrophages modulates macrophage lipotoxicity and M2/M1 polarization in obese mice.

Sample Metadata Fields

Specimen part

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accession-icon SRP117331
Early NKT cell wave of IL-4 serves as an innate link to support initiation of B cell immunity during infection
  • organism-icon Mus musculus
  • sample-icon 222 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

IL-4/GFP- enhanced transcript (4Get) reporter mice were infected with 200 PFU of Influenza A virus PR8 strain. At day 3 of infection, mediastinal lymph nodes were harvested and GFP+ cells sorted and separated by their ability to bind a CD1d-tetramer (Tet+ n=133 , Tet- n=109 ). Single-cell RNA-Seq was used to identify subpopulations of IL-4 producing cells. Single-cell transcriptomes were clustered using Seurat and differentially expressed genes within each cluster were used to resolve IL-4+ subpopulations and aid in defining their role in initiating B cell immunity during influenza infection. Overall design: Examine cells involved in accute viral response in the lymph node after influenza infection

Publication Title

Initiation of Antiviral B Cell Immunity Relies on Innate Signals from Spatially Positioned NKT Cells.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE29115
Microarray Expression Data from Haematopoietic Differentiated Human Embryonic Stem Cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The underlying mechanisms which are responsible and govern early haematopoietic differentiation during development are poorly understood. Gene expression comparison between pluripotent human embryonic stem cells and earliest haematopoietic progenitors may reveal novel transcripts and pathways and provide crucial insight into early haematopoietic lineage specification and development.

Publication Title

Large-scale transcriptional profiling and functional assays reveal important roles for Rho-GTPase signalling and SCL during haematopoietic differentiation of human embryonic stem cells.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE22255
Blood genomic expression profile for ischemic stroke (IS)
  • organism-icon Homo sapiens
  • sample-icon 39 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Stroke is a brain attack cutting off vital blood, and consequently the nutrients and oxygen vital to the brain cells that control everything we do. Stroke is a complex disease with unclear pathogenesis resulting from environmental and genetic factors.

Publication Title

TTC7B emerges as a novel risk factor for ischemic stroke through the convergence of several genome-wide approaches.

Sample Metadata Fields

Sex

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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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