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accession-icon GSE84407
Gene expression data from yerba mate treated and non-treated cultured PBMCs activated with phytohemagglutinin
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

Yerba mate (YM) has been shown to have anti-inflammatory properties in several studies. However, this effect has been found mainly in obesity-related in inflammation. The aim of this work was to study the effect of YM in cultured peripheral blood mononuclear cells to see whether it has anti-inflammatory properties. We stimulated peripheral blood mononuclear cells in vitro with phitohemaglutinin in the presence of yerba mate and determined their activation measuring the the expression of CD25 by flow cytometry. We observed that YM treatment produced a dose-dependent reduction in PBMC activation (CD25 positive cells) when they were stimulated with PHA. This effect was also observed in T cells (CD3 positive) subpopulation. Microarray analysis revealed the differential expression of 128 genes in YM-treated cells. According to a protein-protein interaction database, these genes were highly connected and they are involved in inflammatory response. In summary, it was demonstrated that YM produces a reduction in the amount of activated cells under the stimulation of PHA. Therefore, it might be used in diseases with an inflammatory component.

Publication Title

Yerba mate (Ilex paraguariensis) inhibits lymphocyte activation in vitro.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE41890
Expression data from multiple sclerosis patients in remission and relapse
  • organism-icon Homo sapiens
  • sample-icon 67 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Whole-genome expression of peripheral blood leukocytes was measured in 22 patients and 24 controls using the Human Gene 1.0 ST array by Affymetrix

Publication Title

Transcriptomic profile reveals gender-specific molecular mechanisms driving multiple sclerosis progression.

Sample Metadata Fields

Sex, Age, Specimen part, Disease

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accession-icon GSE69832
Age gene expression in Healthy leukocytes
  • organism-icon Homo sapiens
  • sample-icon 41 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Both cellular senescence and organismic aging are known to be dynamic processes that start early in life and progress constantly during the whole life of the individual. In this work, with the objective of identifying signatures of age-related progressive change at the transcriptomic level, we have performed a whole-genome gene expression analysis of peripheral blood leukocytes in a group of healthy individuals with ages ranging from 14 to 93 years. A set of genes with progressively changing gene expression (either increase or decrease with age) has been identified and contextualized in a coexpression network. A modularity analysis has been performed on this network and biological-term and pathway enrichment analyses have been used for biological interpretation of each module. In summary, the results of the present work reveal the existence of a transcriptomic component that shows progressive expression changes associated to age in peripheral blood leukocytes, highlighting both the dynamic nature of the process and the need to complement young vs. elder studies with longitudinal studies that includes middle aged individuals. From the transcriptional point of view, immunosenescence seems to be occurring from a relatively early age, at least from the late 20s/early 30s, and the 49 56 y/o age-range appears to be critical. In general, the genes that, according to our results, show progressive expression changes with aging are involved in pathogenic/cellular processes that have classically been linked to aging in humans: cancer, immune processes and cellular growth vs. maintenance.

Publication Title

Age gene expression and coexpression progressive signatures in peripheral blood leukocytes.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE140358
Blood espression in Frailty and Robust patients
  • organism-icon Homo sapiens
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

Frailty is a geriatric syndrome that represents a state of vulnerability with increased risk of negative health outcomes. In the last years, independent studies attempted to identify biomarkers of frailty at biological level, but no consensus has been reached to date. In this work, we performed a transcriptomic analysis of 25 robust and frail community-dwelling individuals based on Timed Up and Go, Gait Speed and Tilburg Frailty Indicator scales. The comparison between individuals classified as frail or robust by the three tools revealed the expression of 35 transcripts associated with frailty status. These include genes linked to inflammation- and hypoxia-related pathways, immune response or microRNAs. Among them, additional analyses showed that the expression of a 3-gene pattern, increased EGR1 and reduced DDX11L1 and miR454, was able to identify frail individuals with an area under the curve (AUC) of 0.86

Publication Title

No associated publication

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE57542
Expression data measured by Nanostring and microarray of monocyte-derived dendritic cells from healthy individuals stimulated with LPS, influenza, or IFN-beta, or left unstimulated
  • organism-icon Homo sapiens
  • sample-icon 228 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Common genetic variants modulate pathogen-sensing responses in human dendritic cells.

Sample Metadata Fields

Sex, Age, Race, Subject

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accession-icon GSE36139
SNP and Expression data from the Cancer Cell Line Encyclopedia (CCLE)
  • organism-icon Homo sapiens
  • sample-icon 882 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

The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE36133
Expression data from the Cancer Cell Line Encyclopedia (CCLE)
  • organism-icon Homo sapiens
  • sample-icon 882 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The Cancer Cell Line Encyclopedia (CCLE) project is a collaboration between the Broad Institute, the Novartis Institutes for Biomedical Research and the Genomics Novartis Foundation to conduct a detailed genetic and pharmacologic characterization of a large panel of human cancer models

Publication Title

The Cancer Cell Line Encyclopedia enables predictive modelling of anticancer drug sensitivity.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE17312
BI Human Reference Epigenome Mapping Project
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The NIH Roadmap Epigenomics Mapping Consortium aims to produce a public resource of epigenomic maps for stem cells and primary ex vivo tissues selected to represent the normal counterparts of tissues and organ systems frequently involved in human disease.

Publication Title

The NIH Roadmap Epigenomics Mapping Consortium.

Sample Metadata Fields

Sex, Specimen part, Disease, Subject

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accession-icon GSE5258
Connectivity Map dataset (build01)
  • organism-icon Homo sapiens
  • sample-icon 346 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

A reference collection of genome-wide transcriptional expression data for bioactive small molecules.

Publication Title

The Connectivity Map: using gene-expression signatures to connect small molecules, genes, and disease.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE26863
MMRC expression and aCGH reference collection
  • organism-icon Homo sapiens
  • sample-icon 299 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

Initial genome sequencing and analysis of multiple myeloma.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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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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