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accession-icon GSE100699
Expression data from dosing an antisense oligonucleotide in mice
  • organism-icon Mus musculus
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Identifying and avoiding off-target effects of RNase H-dependent antisense oligonucleotides in mice.

Sample Metadata Fields

Sex, Specimen part, Treatment

View Samples
accession-icon GSE100698
Expression data from dosing four different antisense oligonucleotides in mice II
  • organism-icon Mus musculus
  • sample-icon 20 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

We used microarrays to globally profile the gene expression changes observed in liver after 3 days when dosing antisense oligonucleotides in mice

Publication Title

Identifying and avoiding off-target effects of RNase H-dependent antisense oligonucleotides in mice.

Sample Metadata Fields

Sex, Specimen part, Treatment

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accession-icon GSE93245
Expression data from transfection of two different antisense oligonucleotides in HuH7 cells
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We used microarrays to globally profile the gene expression changes observed after 24h when transfecting antisense oligonucleotides in HuH77 cells

Publication Title

Managing the sequence-specificity of antisense oligonucleotides in drug discovery.

Sample Metadata Fields

Treatment

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accession-icon GSE100697
Expression data from dosing an antisense oligonucleotide in mice I
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

We used microarrays to globally profile the gene expression changes observed in liver after 3 days when dosing an antisense oligonucleotide in mice

Publication Title

Identifying and avoiding off-target effects of RNase H-dependent antisense oligonucleotides in mice.

Sample Metadata Fields

Sex, Specimen part, Treatment

View Samples
accession-icon GSE85260
Different effects of IL-13 and IL-4 on M in the presence of IL-10
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Tumor-associated macrophages (TAM) represent an abundant cell population of the immune infiltrate in solid tumors and have been shown to orchestrate escape from immune surveillance. Macrophages display a very plastic phenotype which is recapitulated in vitro by classifying certain subsets according to exposure with defined, individual cytokines. The tumor-promoting M2 macrophages are polarized in vitro by differentiating human monocyte-derived macrophages with the T helper cell type 2 (Th2) response cytokines interleukin-4 and interleukin-13 or the immunosuppressive cytokine interleukin-10. Notably, only the latter macrophage subset undergoes apoptosis when treated with the colony stimulating factor 1 receptor (CSF1R) blocking antibody emactuzumab. However, under physiologic conditions the phenotype of TAM is shaped by a combination of cytokines. Hence, we evaluated if the addition of IL-10 to IL-4 or IL-13 differentiated macrophages is able to override IL-4/-13 mediated signaling and to restore susceptibility to emactuzumab. Though addition of IL-10 did not restore emactuzumab susceptibility, we surprisingly detected that only IL-4 differentiated macrophages sustained their specific marker expression while IL-10 skewed the IL-13 differentiated macrophage profile towards the IL-10 regulated phenotype. In-depth characterization by gene expression profiling revealed unique signatures of IL-4+IL-10 and IL-13+IL-10 differentiated macrophage subsets characterized by upregulation of the canonical NFB signaling or Wnt/-catenin signaling pathways, respectively. In silico-based analysis of a large cohort of cancer patients revealed distinct interleukin-4 or interleukin-13 overexpression patterns in a subset of patients with partial co-expression of IL-10 but almost absent IL-4/IL-13 co-expression. These patients may have less TAM depletion under therapy with CSF1R inhibitors.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE103512
Gene expression profiles of breast, colorectal, prostate, and non-small cell lung cancer
  • organism-icon Homo sapiens
  • sample-icon 280 Downloadable Samples
  • Technology Badge Icon Affymetrix HT HG-U133+ PM Array Plate (hthgu133pluspm)

Description

Gene expression profiles from 280 formalin-fixed and paraffin embedded normal and tumor samples of four cancer types

Publication Title

Regulatory T-cell Genes Drive Altered Immune Microenvironment in Adult Solid Cancers and Allow for Immune Contextual Patient Subtyping.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE65010
Gene expression profiling of effector and regulatory T-cells from peripheral blood of rheumatoid arthritis (RA) patients and healthy volunteers.
  • organism-icon Homo sapiens
  • sample-icon 42 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Objective: Conflicting evidence exists regarding the suppressive capacity of Tregs from the peripheral blood (PB) of patients with rheumatoid arthritis (RA). Our aim was to determine whether Tregs are intrinsically defective in RA using a wide range of read-out assays. Methods: CD3+CD4+CD25+CD127low Tregs from CD45RO+ and CD45RA+ compartments of PB from patients with RA and healthy controls (HC) were analysed for phenotype, cytokine expression profile (ex vivo and after in vitro stimulation), suppression of effector T-cell proliferation and cytokine production, suppression of monocyte-derived cytokine/chemokine production, and gene expression profiling. Results: No differences were observed between patients with RA and HC regarding Treg frequency, ex vivo phenotype (CD4, CD25, CD127, CD39, CD161) or pro-inflammatory cytokine profile (IL-17, IFN-gamma, TNF-alpha). FOXP3 expression was increased in Tregs from RA blood. The ability of Tregs to suppress T-cell proliferation or cytokine (IFN-gamma, TNF-alpha) production upon co-culture with autologous CD45RO+ effector T-cells and monocytes was not significantly different between patients with RA and HC. CD45RO+ Tregs from RA blood showed a slightly impaired ability to suppress production of some cytokines/chemokines by autologous LPS-activated monocytes (IL-1-beta, IL-1Ra, IL-7, CCL3, CCL4), but this was not true for all patients and other cytokines/chemokines (TNF-alpha, IL-6, IL-8, IL-12, IL-15, CCL5) were suppressed in the majority of patients similarly to HC. Finally, gene expression profiling of CD45RA+ or CD45RO+ Tregs from PB revealed no statistically significant differences between patients with RA and HC. Conclusions: Our findings suggest that Tregs isolated from PB of patients with RA are not intrinsically defective.

Publication Title

Phenotypic, Functional, and Gene Expression Profiling of Peripheral CD45RA+ and CD45RO+ CD4+CD25+CD127(low) Treg Cells in Patients With Chronic Rheumatoid Arthritis.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject

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accession-icon GSE63107
Ingenol mebutate induces profound inflammatory and wound healing responses in uninvolved and actinic keratosis skin
  • organism-icon Homo sapiens
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We studied the transcriptomic profile of actinic keratosis (AK) skin compared to matched samples from uninvolved skin (US) before and after treatment with ingenol mebutate gel.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE8070
Expression profiling of pancreas development
  • organism-icon Mus musculus
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

Development of the pancreas from the endoderm is initiated at embryonic day 9 of mouse development and over the following days several different cell types develop from pancreas progenitor cells. A distinct phase of pancreas development, known as the secondary transition, is initiated at day 13 of development and one of the key features of this transition is a massive increase in the number of mature endocrine cells. To study gene expression in pancreas during the secondary transition we performed high-density oligonucleotide microarray experiments on dorsal pancreas tissue isolated from NMRI embryos on consecutive days from e12.5 to e16.5.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE71370
Profiling of CD14+ monocytes from paired rheumatoid arthritis (RA)-patient peripheral blood and synovial fluid samples
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

CD14+ monocytes sorted from the synovial fluid or peripheral blood of rheumatoid arthritis patients were analyzed by full transcriptome microarray analysis. Monocytes from healthy control samples (peripheral blood) were also profiled.

Publication Title

MicroRNA-155 contributes to enhanced resistance to apoptosis in monocytes from patients with rheumatoid arthritis.

Sample Metadata Fields

Specimen part, Disease, Disease stage, Subject

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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