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accession-icon GSE83864
Gene Expression Network Analyses in Response to Air Pollution Exposures in the Trucking Industry
  • organism-icon Homo sapiens
  • sample-icon 165 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

To investigate the cellular responses induced by air pollution exposures, we performed genome-wide gene expression microarray analysis using whole blood RNA sampled at three time-points across the work weeks of 63 non-smoking employees in the trucking industry. Our objective was to identify the genes and gene networks differentially activated in response to micro-environmental measures of occupational exposure to three pollutants: PM2.5 (particulate matter 2.5 microns in diameter) and elemental carbon (EC) and organic carbon (OC).

Publication Title

Gene expression network analyses in response to air pollution exposures in the trucking industry.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE26410
Inflammation leads to loss of smooth muscle cells but fails to induce invasiveness in a prostate tumor model
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Inflammation has a causal role in many cancers. In prostate cancers, epidemiological data suggest a link between prostatitis and subsequent cancer development, but a proof for this concept in a tumor model has been lacking. A constitutively active version of the IkappaB kinase 2 (IKK2), the molecule activated by a plethora of inflammatory stimuli, was expressed specifically in the prostate epithelium. Signaling of the IKK2/NF-kappaB axis was insufficient for transformation of prostate tissue. However, while PTEN+/- epithelia exhibited intraepithelial neoplasias only recognizable by nuclear alterations, additional IKK2 activation led to an increase in tumor size and formation of cribriform structures and to a fiber increase in the fibroblastic stroma. This phenotype was coupled with inflammation in the prostate gland characterized by infiltration of granulocytes and macrophages. Molecular characterization of the tissues showed a specific loss of smooth muscle markers as well as expression of chemokines attracting immune cells. Isolation of epithelial and stromal cells showed differential chemokine expression by these cells. Correlation studies showed the inflammatory phenotype coupled to loss of smooth muscle in infiltrated glands, but maintenance of the phenotype in glands where inflammation had decreased. Despite the loss of the smooth muscle barrier, tumors were not invasive in a stable genetic background. Data mining revealed that smooth muscle markers are downregulated in human prostate cancers and literature data show that loss of these markers in primary tumors is associated with subsequent metastasis. Our data show that loss of smooth muscle and invasiveness of the tumor are not coupled. Thus, inflammation during early steps of tumorigenesis can lead to increased tumor size and a potential change in the subsequent metastatic potential, but the tumor requires an additional transformation to become a carcinoma.

Publication Title

Persistent inflammation leads to proliferative neoplasia and loss of smooth muscle cells in a prostate tumor model.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE27485
Gene expression from Mouse Embryonic Fibroblasts
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Gene expression from Wild-type and NFAT5 knock-out Mouse Embryonic Fibroblasts

Publication Title

Transcriptional regulation of gene expression during osmotic stress responses by the mammalian target of rapamycin.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon SRP153906
Physiological and molecular dissection of daily variance in exercise capacity
  • organism-icon Mus musculus
  • sample-icon 18 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Physical performance relies on the concerted action of myriad responses, many of which are under circadian clock control. Little is known, however, regarding the time-dependent effect on exercise performance at the molecular level. We found that both mice and humans exhibit day-time variance in exercise capacity between the early and late part of their active phase. The day-time variance in mice was dependent on exercise intensity and relied on the circadian clock proteins PER1/2. High throughput gene expression and metabolic profiling of skeletal muscle revealed metabolic pathways that are differently activated upon exercise in a day-time dependent manner. Remarkably, we discovered that ZMP, an endogenous AMPK activator, is induced by exercise in a time-dependent manner to regulate key steps in glycolytic and fatty acid oxidation pathways and potentially enhance exercise capacity. Overall, we propose that time of the day is a major modifier of exercise capacity and associated metabolic pathways. Overall design: basal, high intensity and moderate intensity runnig protocol at ZT14 and ZT22 in gastrocnemius muscle in C57B6 mice

Publication Title

Physiological and Molecular Dissection of Daily Variance in Exercise Capacity.

Sample Metadata Fields

Sex, Cell line, Subject, Time

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accession-icon GSE51105
A signature predicting poor prognosis in gastric and ovarian cancer represents a coordinated macrophage and stromal-response.
  • organism-icon Homo sapiens
  • sample-icon 90 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Genome wide mRNA expression profiling of 94 gastric tumours derived from Australian based cohort was performed. . From this data we identified a cluster of co-expressed genes termed the stromal response cluster which almost perfectly differentiates tumor from its non-malignant gastric tissue and hence can be regarded as a highly tumor-specific gene expression signature. We show that these genes are consistently co-expressed across a range of independent gastric datasets as well as other cancer types suggesting a conserved functional role in cancer.

Publication Title

A signature predicting poor prognosis in gastric and ovarian cancer represents a coordinated macrophage and stromal response.

Sample Metadata Fields

Specimen part

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accession-icon SRP097735
Neuroblastoma cells undergo transcriptomic alterations during dissemination into the bone marrow and subsequent tumor progression
  • organism-icon Homo sapiens
  • sample-icon 79 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Background: Neuroblastoma is the most common extracranial solid tumor in childhood. The vast majority of stage M patients present with disseminated tumor cells (DTCs) in the bone marrow (BM). Although these cells represent a major obstacle in the treatment of neuroblastoma patients, their transcriptomic profile was not intensively analyzed so far. Results: RNA-Seq of stage M primary tumors, enriched BM-derived DTCs and the corresponding non-tumor mononuclear cells (MNCs) revealed that DTCs largely retained the gene expression signature of tumors. However, we identified 322 genes that were differentially expressed (q < 0.001, |log2FC|>2). Particularly genes encoded by mitochondrial DNA were highly up-regulated in DTCs, whereas e.g. genes involved in angiogenesis were down-regulated. Furthermore, 224 genes were highly expressed in DTCs and only slightly, if at all, in MNCs (q < 8x10-75 log2FC > 6). Interestingly, we found that the gene expression profiles of diagnostic DTCs largely resembled those of relapse DTCs with only 113 differentially expressed genes under relaxed cut-offs (q < 0.01, |log2FC| > 0.5). Notably, relapse DTCs showed a positional enrichment of 31 down-regulated genes encoded by chromosome 19, including five tumor suppressor genes (SIRT6, PUMA, STK11, CADM4 and GLTSCR2). Conclusion: This first RNA-Seq analysis of DTCs from neuroblastoma patients revealed their unique expression profile in comparison to the corresponding MNCs and tumor samples, and, interestingly, also expression differences between diagnostic and relapse DTCs preferentially affecting chromosome 19. As these alterations might be associated with treatment failure and disease relapse, they should be considered for further functional studies. Overall design: Tumor (n=16), bone marrow-derived disseminated tumor cells (n=42) and corresponding bone marrow-derived non-tumor cells (n=28) of stage M neuroblastoma patients were used for RNA-Seq

Publication Title

Neuroblastoma cells undergo transcriptomic alterations upon dissemination into the bone marrow and subsequent tumor progression.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE17665
Methamphetamine preconditioning responses to methamphetamine-induced injury in the rat ventral midbrain
  • organism-icon Rattus norvegicus
  • sample-icon 13 Downloadable Samples
  • Technology Badge IconIllumina ratRef-12 v1.0 expression beadchip

Description

Methamphetamine (METH) is an illicit drug which is neurotoxic to the mammalian brain. Numerous studies have revealed significant decreases in dopamine and serotonin levels in the brains of animals exposed to moderate-to-large METH doses given within short intervals of time. In contrast, repeated injections of small nontoxic doses of the drug followed by a challenge with toxic METH doses afford significant protection against monoamine depletion. The present study was undertaken to test the possibility that repeated injections of the drug might be accompanied by transcriptional changes involved in rendering the nigrostriatal dopaminergic system refractory to METH toxicity. Our results confirm that METH preconditioning can provide significant protection against METH-induced striatal dopamine depletion. In addition, the presence and absence of METH preconditioning were associated with substantial differences in the identity of the genes whose expression was affected by a toxic METH challenge.

Publication Title

Methamphetamine preconditioning alters midbrain transcriptional responses to methamphetamine-induced injury in the rat striatum.

Sample Metadata Fields

Sex, Age, Specimen part, Treatment

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accession-icon GSE87807
Exit from HSC dormancy is controlled via vitamin A/retinoic acid (II)
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Identification of the role of retinoic acid on the activation of the dHSCs

Publication Title

Vitamin A-Retinoic Acid Signaling Regulates Hematopoietic Stem Cell Dormancy.

Sample Metadata Fields

Specimen part

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accession-icon GSE31355
A genome wide methylation map of neuroblastoma cell lines
  • organism-icon Homo sapiens
  • sample-icon 15 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

Genome-wide promoter methylation analysis in neuroblastoma identifies prognostic methylation biomarkers.

Sample Metadata Fields

Treatment

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accession-icon GSE31229
Neuroblastoma cell lines treated with DAC (2'-deoxy-5-azacytidine), a DNA-methylation inhibitor
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

8 neuroblastoma (NB) cell lines (CLB-GA, IMR-32, SH-SY5Y, N206, CHP-902R, LAN-2, SK-N-AS, SJNB-1) were profiled on the Affymetrix HGU-133plus2,0 platform before and after treatment with DAC (2'-deoxy-5-azacytidine) to investigate the influence on expression after inhibiting DNA-methylation

Publication Title

Genome-wide promoter methylation analysis in neuroblastoma identifies prognostic methylation biomarkers.

Sample Metadata Fields

Treatment

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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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