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accession-icon GSE71871
Epigenetic silencing of Th1 chemokines shapes tumor immunity, immunotherapy and patient outcome
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.1 ST Array (hugene21st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Epigenetic silencing of TH1-type chemokines shapes tumour immunity and immunotherapy.

Sample Metadata Fields

Treatment

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accession-icon GSE71869
Epigenetic silencing of Th1 chemokines shapes tumor immunity, immunotherapy and patient outcome [GSK126]
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.1 ST Array (hugene21st)

Description

To define the gene profile altered by EZH2 and H3K27me3 in response to IFNg, we performed several microarrays in primary ovarian cancer cells transfected with shEZH2 or treated with GSK126. We found that 155 and 124 genes were altered by shEZH2 and GSK126 treatment, respectively, and 20 genes were increased or decreased by both shEZH2 and GSK126 treatment.

Publication Title

Epigenetic silencing of TH1-type chemokines shapes tumour immunity and immunotherapy.

Sample Metadata Fields

Treatment

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accession-icon GSE71870
Epigenetic silencing of Th1 chemokines shapes tumor immunity, immunotherapy and patient outcome [shEZH2]
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.1 ST Array (hugene21st)

Description

To define the gene profile altered by EZH2 and H3K27me3 in response to IFNg, we performed several microarrays in primary ovarian cancer cells transfected with shEZH2 or treated with GSK126. We found that 155 and 124 genes were altered by shEZH2 and GSK126 treatment, respectively, and 20 genes were increased or decreased by both shEZH2 and GSK126 treatment.

Publication Title

Epigenetic silencing of TH1-type chemokines shapes tumour immunity and immunotherapy.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP188564
CD8+ T cells regulate tumor ferroptosis during cancer immunotherapy
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

CD8+ T cells activated by cancer immunotherapy execute tumor clearance mainly by inducing cell death through perforin-granzyme- and Fas/Fas ligand-pathways. Ferroptosis is a form of cell death that differs from apoptosis and results from iron-dependent lipid peroxide accumulation. Although it was mechanistically illuminated in vitro, emerging evidence has shown that ferroptosis may be implicated in a variety of pathological scenarios. However, the involvement of ferroptosis in T cell immunity and cancer immunotherapy is unknown. Here, we find that immunotherapy-activated CD8+ T cells enhance ferroptosis-specific lipid peroxidation in tumor cells, and in turn, increased ferroptosis contributes to the anti-tumor efficacy of immunotherapy. Mechanistically, IFNg released from CD8+ T cells downregulates expression of SLC3A2 and SLC7A11, two subunits of glutamate-cystine antiporter system xc-, restrains tumor cell cystine uptake, and as a consequence, promotes tumor cell lipid peroxidation and ferroptosis. In preclinical models, depletion of cyst(e)ine by cyst(e)inase in combination with checkpoint blockade synergistically enhances T cell-mediated anti-tumor immunity and induces tumor cell ferroptosis. Thus, T cell-promoted tumor ferroptosis is a novel anti-tumor mechanism. Targeting tumor ferroptosis pathway constitutes a therapeutic approach in combination with checkpoint blockade. Overall design: Human HT-1080 mRNA profiles treated by IFNg for 8 hours was determined by RNA-Seq.

Publication Title

CD8<sup>+</sup> T cells regulate tumour ferroptosis during cancer immunotherapy.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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accession-icon GSE106324
Oxidative stress time-course in adipocytes
  • organism-icon Mus musculus
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.1 ST Array (mogene21st)

Description

3T3-L1 adipocytes were treated inhibitors against the glutathione and thioredoxin cycling pools for several time-points (2-24 h).

Publication Title

The transcriptional response to oxidative stress is part of, but not sufficient for, insulin resistance in adipocytes.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE106270
Treatment of 3T3-L1 adipose cells with Glucose Oxidase
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

3T3-L1 adipose cells were grown, differentiated and insulin resistance was stimulated by addition of Glucose Oxidase.

Publication Title

The transcriptional response to oxidative stress is part of, but not sufficient for, insulin resistance in adipocytes.

Sample Metadata Fields

Specimen part

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accession-icon GSE57999
Expression data from baseline and post-endurance training in human PBMCs
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

There is an association between transcriptome and the exercise-related phenotype. Peripheral blood cells suffer alterations in the gene expression pattern in response to perturbations caused by exercise. The acute response to endurance activates stress and inflammation, as well as growth and tissue repair responses.

Publication Title

PBMCs express a transcriptome signature predictor of oxygen uptake responsiveness to endurance exercise training in men.

Sample Metadata Fields

Sex, Specimen part, Disease, Disease stage, Treatment, Subject, Time

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accession-icon GSE44734
Expression data from neurotrophin transgenic mice
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

A limited number of growth factors are capable of regulating numerous developmental processes, but how they accomplish this is unclear. In the gustatory system, brain-derived neurotrophic factor (BDNF) and neurotrophin-4 (NT4) have different developmental roles but exert their effects through the same receptors (TrkB and p75).

Publication Title

BDNF and NT4 play interchangeable roles in gustatory development.

Sample Metadata Fields

Specimen part

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accession-icon GSE85998
Expression data from mouse liver
  • organism-icon Mus musculus
  • sample-icon 47 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.1 ST Array (mogene21st)

Description

Livers from 15 month old mice mainatined on one of 25 different diets varying in protein, carbohydrate, fat (P,C,F) and energy content were analysed. Energy content was categorised as low (8kJ/g), medium (13kJ/g) or high (17kJ/g) Mice were placed on diet from 3 weeks of age and a subset culled for various analyses. The rest of the cohort was allowed to live out their natural life to assess lifespan.

Publication Title

Defining the Nutritional and Metabolic Context of FGF21 Using the Geometric Framework.

Sample Metadata Fields

Specimen part

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accession-icon SRP150181
Comparative gene expression analysis in the Arabidopsis thaliana root apex using RNA-seq and microarray transcriptome profiles [RNA-seq]
  • organism-icon Arabidopsis thaliana
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

The root apex is an important section of the plant root, involved in environmental sensing and cellular development. Analyzing the gene profile of root apex in diverse environments is important and challenging, especially when the samples are limiting and precious, such as in spaceflight. The feasibility of using tiny root sections for transcriptome analysis was examined in this study.To understand the gene expression profiles of the root apex, Arabidopsis thaliana Col-0 roots were sectioned into Zone-I (0.5 mm, root cap and meristematic zone) and Zone-II (1.5 mm, transition, elongation and growth terminating zone). Gene expression was analyzed using microarray and RNA seq.Both the techniques, arrays and RNA-Seq identified 4180 common genes as differentially expressed (with > two-fold changes) between the zones. In addition, 771 unique genes and 19 novel TARs were identified by RNA-Seq as differentially expressed which were not detected in the arrays. Single root tip zones can be used for full transcriptome analysis; further, the root apex zones are functionally very distinct from each other. RNA-Seq provided novel information about the transcripts compared to the arrays. These data will help optimize transcriptome techniques for dealing with small, rare samples. Overall design: Arabidopsis thaliana var. Columbia (COL-0) seedlings were grown on sterile solid media plates containing 0.5 % phytagel. The plates were vertically placed in growth chambers with continuous light (80-100 µmol m -2) at a constant temperature of 19° C. Eight day old seedlings were harvested into RNA-later solution in a 50 mL centrifuge tubes and stored at -20 °C freezer. The root tips were dissected into zone-I: 0.5mm from the tip including the root cap and root division zones, and zone-II: 1.5mm sections including root elongation and root hair zone. Microarray and sequencing experiments were performed.

Publication Title

Comparing RNA-Seq and microarray gene expression data in two zones of the <i>Arabidopsis</i> root apex relevant to spaceflight.

Sample Metadata Fields

Age, Specimen part, Subject

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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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