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accession-icon GSE147197
Expression data from patients that has received grass pollen sublingual immunotherapy treatment for two years.
  • organism-icon Homo sapiens
  • sample-icon 38 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.1 ST Array (hugene21st)

Description

Prevalence and severity of allergic diseases have increased worldwide. To date, respiratory allergy phenotypes are not fully characterized and, in addition, the mechanisms underlying sublingual immunotherapy (SLIT) are still unknown.

Publication Title

Exploring novel systemic biomarker approaches in grass-pollen sublingual immunotherapy using omics.

Sample Metadata Fields

Specimen part, Treatment, Time

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accession-icon GSE75620
Transcriptomic study of hepatocarcinoma cells exposed to sorafenib
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.1 ST Array (hugene21st)

Description

sorafenib is the treatment of reference for hepatocellular carcinoma (HCC). We applied sorafenib on the human HCC cell line Huh7 and the subclone shRb, carrying a stable knock-down of the expression of the RB1 gene, a key regulator of liver carcinogenesis. Our aim was to better understand the physiologic and metabolic consequences of the exposure of HCC cells to sorafenib.

Publication Title

Metallothionein-1 as a biomarker of altered redox metabolism in hepatocellular carcinoma cells exposed to sorafenib.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon SRP140469
Identification and single cell functional characterization of an endodermally-biased pluripotent sub-state in human embryonic stem cells
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Human embryonic stem cells (hESC) display substantial heterogeneity in gene expression, implying the existence of discrete substates within the stem cell compartment. To determine whether these substates impact fate decisions of hESC we used a GFP reporter line to investigate the properties of fractions of putative undifferentiated cells defined by their differential expression of the endoderm transcription factor, GATA6, together with the hESC surface marker, SSEA3. By single cell cloning, we confirmed that substates characterized by expression of GATA6 and SSEA3 include pluripotent stem cells capable of long term self-renewal. When clonal stem cell colonies were formed from GATA6-positive and GATA6-negative cells, more of those derived from GATA6-positive cells contained spontaneously differentiated endoderm cells than similar colonies derived from the GATA6-negative cells. We characterized these discrete cellular states using single cell transcriptomic analysis, identifying a potential role for SOX17 in the establishment of the endoderm biased stem cell state. Overall design: Examination of 4 different cell substates within one human embryonic stem cell line as determine by the expression status of GATA6 and SSEA3

Publication Title

Identification and Single-Cell Functional Characterization of an Endodermally Biased Pluripotent Substate in Human Embryonic Stem Cells.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE114707
Expression data from allergic patients to profilin
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.1 ST Array (hugene21st)

Description

Prevalence and severity of allergic diseases have increased worldwide. To date, respiratory allergy phenotypes are not fully characterized and, along with inflammation progression, treatment is increasingly complex and expensive. Profilin sensitization constitutes a good model to study the progression of allergic inflammation.

Publication Title

Multi-omics analysis points to altered platelet functions in severe food-associated respiratory allergy.

Sample Metadata Fields

Specimen part

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accession-icon SRP097580
Genome Wide Transcriptional Modelling of a 24hour timecourse of T-helper cell differentiation
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

In this study we used Genome Wide Transcriptional Modelling (GWTM) to investigate the temporal transcriptional changes during CD4 Th0, Th1 and Th2 differentiation in the first 24 hours after T cell activation. We measured the transcriptional response by RNA seq every four hours for a 24 hour time course. Overall design: WT CD4 T cells were isolated and purified from adult murine spleen. The purified CD4 cells were then set up in culture under three different conditions: Th0, Th1 and Th2. Cells were extracted at 4 hour timepoints during a 24hour timecourse and RNA was extracted for each timepoint under each condition. This RNA was further sequenced to analyse the genome wide transcriptional changes through time under each of the three conditions.

Publication Title

IFITM proteins drive type 2 T helper cell differentiation and exacerbate allergic airway inflammation.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE71194
Muscle expression of SOD1G93A modulates microRNA and mRNA expression pattern associated with the myelination process in the spinal cord of transgenic mice.
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Muscle Expression of SOD1(G93A) Modulates microRNA and mRNA Transcription Pattern Associated with the Myelination Process in the Spinal Cord of Transgenic Mice.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE37324
Analysis of Gene Expression and Cytokine Release Profiles Reveals the Inter-depot and Intra-depot Genetic and Functional Heterogeneity of Human Adipose Tissue-Derived Stem Cells
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Differences in the inherent properties of undifferentiated fat cell progenitors may contribute to the biological specificity of the abdominal subcutaneous (Sc) and visceral omental (V) fat depots. In this study, the biological characteristics of three distinct subpopulations of adipose tissue-derived stem cells (ASC), i.e. ASCSVF, ASCBottom and ASCCeiling isolated from Sc and V adipose tissue biopsies of non-obese subjects, were investigated. Genome-wide differential gene expression analysis followed by quantitative RT-PCR and analysis of cytokines in the ASC-derived conditioned medium were performed. By analysis of 28,869 annotated genes, 1,019 genes resulted differentially expressed between Sc-ASC and V-ASC. Within the Sc-ASC and V-ASC populations, 546 and 1,222, respectively, were the genes differentially expressed among ASCSVF, ASCBottom and ASCCeiling. A far more striking difference was found when the hierarchical clusters analysis was performed comparing each Sc-ASC with its own homologous V-ASC subset. mRNA levels of HoxA5, Tbx15, PI16, PITPNC1, FABP5, IL-6, IL-8, MCP-1, VEGF, MMP3, TFPI2, and ANXA10 were significantly different between Sc-ASC and V-ASC. Of the 27 cytokines measured, 14 (IL-2, IL-4, IL-5 IL-7, IL-9, IL-10, IL12, IL13, MIP1-, MIP1-, PDGF-, FGFbasic, GM-CSF, IP-10) were not released, whereas 13 were expressed (IL-1beta, IL-1ra, IL-15, IL-17, G-CSF, IFN, RANTES, TNF-, Eotaxin, IL-8, MCP-1, VEGF, IL-6), and of these, MCP-1, Eotaxin, IL-1ra, FGFbasic, IL-6, IL-8, G-CSF, and VEGF were significantly different among ASCSVF, ASCCeiling and ASCBottom of the two adipose tissue depots. These results demonstrate the existence of genetically and functionally heterogeneous fat-derived ASC populations, which may add to the complexity and specificity of Sc and V adipose tissue in humans.

Publication Title

Differences in gene expression and cytokine release profiles highlight the heterogeneity of distinct subsets of adipose tissue-derived stem cells in the subcutaneous and visceral adipose tissue in humans.

Sample Metadata Fields

Specimen part

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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 GSE59219
Intrinsic self-DNA triggers inflammatory disease dependent on STING
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Intrinsic self-DNA triggers inflammatory disease dependent on STING.

Sample Metadata Fields

Specimen part

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accession-icon GSE59217
Intrinsic self-DNA triggers inflammatory disease dependent on STING (I)
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Inflammatory diseases such as Aicardi-Goutieres Syndrome (AGS) and severe systemic lupus erythematosus (SLE) are generally lethal disorders that have been traced to defects in the exonuclease Trex1 (DNAseIII). Mice lacking Trex1 similarly die at an early age through comparable symptoms, including inflammatory myocarditis, through chronic activation of the STING (stimulator of interferon genes) pathway. Here we demonstrate that phagocytes rather than myocytes are predominantly responsible for causing inflammation, an outcome that could be alleviated following adoptive transfer of normal bone marrow into Trex1-/- mice. Trex1-/- macrophages did not exhibit significant augmented ability to produce pro-inflammatory cytokines compared to normal macrophages following exposure to STING-dependent activators, but rather appeared chronically stimulated by genomic DNA. These results shed molecular insight into inflammation and provide concepts for the design of new therapies.

Publication Title

Intrinsic self-DNA triggers inflammatory disease dependent on STING.

Sample Metadata Fields

Specimen part

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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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