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accession-icon SRP180359
Epithelial mesenchymal transition (EMT) in A549 NSCLC cells. TGFbeta was used to induce EMT, RNA isolated and subjected to RNAseq on Illumina HiSeq
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The capacity of cancer cells to undergo epithelial mesenchymal trans-differentiation has been implicated as a factor driving metastasis, through the acquisition of enhanced migratory/invasive cell programs and the engagement of anti-apoptotic mechanisms promoting drug and radiation resistance. Our aim was to define molecular signaling changes associated with mesenchymal trans-differentiation in two KRas mutant NSCLC models. We focused on central transcription and epigenetic regulators predicted to be important for mesenchymal cell survival. Overall design: Haley, J.A., Haughney, E., Ullman, E., Bean, J., Haley, J.D.* and Fink, M.Y. (2014) 'Altered Transcriptional Control Networks with Trans-Differentiation of Isogenic Mutant KRas NSCLC Models' Front. Oncology, doi/10.3389/fonc.2014.00344.

Publication Title

Altered Transcriptional Control Networks with Trans-Differentiation of Isogenic Mutant-KRas NSCLC Models.

Alternate Accession IDs

GSE125369

Sample Metadata Fields

Treatment, Subject

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accession-icon GSE94746
Differential gene expression in the adipose tissue of crossbred beef cows with divergent gain after feed restriction and ad libitum feeding studies.
  • organism-icon Bos taurus
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Bovine Gene 1.1 ST Array (bovgene11st)

Description

Beef cow adipose tissue transcriptome

Publication Title

Differential transcript abundance in adipose tissue of mature beef cows during feed restriction and realimentation.

Alternate Accession IDs

E-GEOD-94746

Sample Metadata Fields

Specimen part

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accession-icon GSE64913
Altered epithelial gene expression in peripheral airways of severe asthma
  • organism-icon Homo sapiens
  • sample-icon 70 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Management of severe asthma remains a challenge despite treatment with glucocorticosteroid therapy. The majority of studies investigating disease mechanisms in treatment-resistant severe asthma have previously focused on the large central airways, with very few utilizing transcriptomic approaches. The small peripheral airways, which comprise the majority of the airway surface area, remain an unexplored area in severe asthma and were targeted for global epithelial gene expression profiling in this study.

Publication Title

Altered Epithelial Gene Expression in Peripheral Airways of Severe Asthma.

Alternate Accession IDs

E-GEOD-64913

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Subject

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accession-icon GSE113717
De novo lipogenesis represents a therapeutic target in Kras mutant NSCLC
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

We examine the potential of Kras as a metabolic target in lung cancer using the KrasLSL-G12D lung cancer model. We demonstrate that mutant Kras drives a lipogenic gene expression program, and that fatty acid synthesis is important in Kras-induced tumorigenesis.

Publication Title

De novo lipogenesis represents a therapeutic target in mutant Kras non-small cell lung cancer.

Alternate Accession IDs

E-GEOD-113717

Sample Metadata Fields

Specimen part

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accession-icon GSE73159
Differential gene expression in the duodenum, jejunum, and ileum among crossbred beef steers with divergent gain and feed intake phenotypes.
  • organism-icon Bos taurus
  • sample-icon 47 Downloadable Samples
  • Technology Badge Icon Bovine Gene 1.1 ST Array (bovgene11st)

Description

Steer small intestine transcriptome

Publication Title

Differential gene expression in the duodenum, jejunum and ileum among crossbred beef steers with divergent gain and feed intake phenotypes.

Alternate Accession IDs

E-GEOD-73159

Sample Metadata Fields

Specimen part

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accession-icon GSE70760
Gene expression patterns in house dust mite stimulated CD4 T cells and IgG:IgE ratios
  • organism-icon Homo sapiens
  • sample-icon 89 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

PBMC from house dust mite (HDM) sensitized atopics were cultured in the presence or absence of HDM extract for 24 hours.

Publication Title

Distinguishing benign from pathologic TH2 immunity in atopic children.

Alternate Accession IDs

E-GEOD-70760

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE16032
Gene expression data from severe asthmatic children: PBMC profiles during acute exacerbation versus convalescence
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Severe asthma exacerbations in children requiring hospitalisation are typically associated with viral infection, and occur almost exclusively amongst atopics, but the significance of these comorbidities is unknown. We hypothesised that underlying interactions between immunoinflammatory pathways related to responses to aeroallergen and virus are involved, and that evidence of these interactions is detectable in circulating cells during exacerbations.

Publication Title

Interactions between innate antiviral and atopic immunoinflammatory pathways precipitate and sustain asthma exacerbations in children.

Alternate Accession IDs

E-GEOD-16032

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE6116
Transcriptional Biomarkers to Predict Female Mouse Lung Tumors in Rodent Cancer Bioassays - A 13 Chemical Training Set
  • organism-icon Mus musculus
  • sample-icon 70 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The primary goal of toxicology and safety testing is to identify agents that have the potential to cause adverse effects in humans. Unfortunately, many of these tests have not changed significantly in the past 30 years and most are inefficient, costly, and rely heavily on the use of animals. The rodent cancer bioassay is one of these safety tests and was originally established as a screen to identify potential carcinogens that would be further analyzed in human epidemiological studies. Today, the rodent cancer bioassay has evolved into the primary means to determine the carcinogenic potential of a chemical and generate quantitative information on dose-response behavior in chemical risk assessments. Due to the resource-intensive nature of these studies, each bioassay costs $2 to $4 million and takes over three years to complete. Over the past 30 years, only 1,468 chemicals have been tested in a rodent cancer bioassay. By comparison, approximately 9,000 chemicals are used by industry in quantities greater than 10,000 lbs and nearly 90,000 chemicals have been inventoried by the U.S. Environmental Protection Agency as part of the Toxic Substances Control Act. Given the disparity between the number of chemicals tested in a rodent cancer bioassay and the number of chemicals used by industry, a more efficient and economical system of identifying chemical carcinogens needs to be developed.

Publication Title

Application of genomic biomarkers to predict increased lung tumor incidence in 2-year rodent cancer bioassays.

Alternate Accession IDs

E-GEOD-6116

Sample Metadata Fields

Sex, Age, Subject

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accession-icon SRP048202
mRNA profiling of hypoxia+SU5416-induced pulmonary hypertension (PH) mouse model treated with an inhibitor of miR-130/301 family
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Purpose: Guided by an in silico combination of microRNA (miRNA) target prediction, analysis of transcriptomic changes in 137 human diseases, and advanced gene network modeling, we predicted the miR-130/301 family of miRNAs as a shared regulator of a fibrotic gene network across human diseases, thus orchestrating broad control over disease manifestation. The goals of this study are to compare the lung mRNA profile of mouse model of Pulmonary hypertension, one of the most fibrotic pathology uncovered by our in silico prediction, treated with an inhibitor of miR-130/301 (Short-130) to mice treated with a control inhibitor (Short-NC). Methods: Eight-week-old mice (C57BL/6) were injected with SU5416 (20 mg/kg/dose; Sigma-Aldrich), followed by exposure to normobaric hypoxia (10% O2; OxyCycler chamber, Biospherix Ltd.) for 2 weeks. After 2 weeks and confirmation of PH development in 5 mice (right heart catheterization), mice were further treated with 3 intrapharyngeal injections (every 4 days) of control or miR-130/301 shortmer oligonucleotides, designed as fully modified antisense oligonucleotides complementary to the seed sequence of the miR-130/301 miRNA family (10 mg/kg/dose; Regulus). Specifically, the control and miR-130/301 shortmer oligonucleotides were nontoxic, lipid-permeable, high-affinity oligonucleotides. The miR-130/301 shortmer carried a sequence complementary to the active site of the miR-130/301 miRNA family, containing a phosphorothioate backbone and modifications (fluoro-, methoxyethyl, and bicyclic sugar) at the sugar 2' position. Three days after the last injection, right heart catheterization was performed followed by harvesting of lung tissue for RNA extraction. Lung mRNA profiles of those mice or control mice (Normoxia+SU5416) were generated by deep sequencing, in triplicate, using Illumina HiSeq 2000. The sequence reads that passed quality filters were analyzed at the gene-level count. The gene level counts were then normalized with the R/Bioconductor package limma using the voom /variance stabilization method. The data were quality controlled for outliers using principal component analysis (PCA). Differential expression analysis between transcriptome profiles of experimental groups was performed using the R / Bioconductor package limma. Results: Transcriptomic analyses of whole lung from mice with hypoxia+SU5416-induced PH revealed a generalized de-repression of miR-130/301 targets by Short-130 treatment. Importantly, although whole lung transcriptomics likely captured only a subset of the miR-130/301 targets affecting the diseased pulmonary vasculature, pathway enrichment nonetheless revealed pronounced representation of several pathways known to be involved in fibrosis. Thus, the miR-130/301 family indeed induces a programmatic shift at the molecular level toward the fibrotic pathophenotype in vivo Overall design: Whole lung mRNA profiles of Normoxia (Control) and hypoxia+SU5416-induced PH mice treated with Short-NC or Short-130 were generated by deep sequencing, in triplicate, using Illumina HiSeq 2000.

Publication Title

Matrix Remodeling Promotes Pulmonary Hypertension through Feedback Mechanoactivation of the YAP/TAZ-miR-130/301 Circuit.

Alternate Accession IDs

GSE61828

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE34218
Temporal expression of miR-17-92a regulates effector and memory CD8+ T cell differentiation
  • organism-icon Mus musculus
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Temporal expression of microRNA cluster miR-17-92 regulates effector and memory CD8+ T-cell differentiation.

Alternate Accession IDs

E-GEOD-34218

Sample Metadata Fields

Specimen part

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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