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accession-icon SRP052056
RNA-Sequencing of human papillary thyroid carcinomas
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

RNA-Sequencing analysis of 18 papillary thyroid carcinoma biopsies and of 4 healthy donors'' thyroids. In this analysis we assessed differential gene expression and investigated the mutational landscape in this tumor type. Analysis of gene fusion was also performed, leading to the identification of a novel chimeric transcript, potential driver in tumor initiation. Overall design: Total RNA isolated from 18 papillary thyroid carcinoma biopsies and 4 healthy donors'' thyroids.

Publication Title

New somatic mutations and WNK1-B4GALNT3 gene fusion in papillary thyroid carcinoma.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE138978
Brain-to-cervical lymph node signaling after stroke
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Microarray analysis of isolated lymphatic endothelial cells from cervical lymph nodes (CLNs) of ischemic mice showed the activation of transmembrane tyrosine kinase pathways.

Publication Title

Brain-to-cervical lymph node signaling after stroke.

Sample Metadata Fields

Treatment

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accession-icon GSE142262
MiR-210 impact on the transcriptome suggests regulation of inflammation and regeneration pathways
  • organism-icon Mus musculus
  • sample-icon 22 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

In order to understand the consequences of miR-210 blocking on the ischemia response, the transcriptomic changes were investigated by microarray technology in gastrocnemius muscles of ANTI-210 and SCR treated mice, 7 days after ischemia.

Publication Title

Hypoxia-Induced miR-210 Is Necessary for Vascular Regeneration upon Acute Limb Ischemia.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP061888
RNA-Sequencing shows novel transcriptomic signatures in failing and non-failing human heart
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

The knowledge of an expression network signature in end-stage heart failure (HF) diseased hearts may offer important insights into the complex pathogenesis of advanced cardiac failure, as well as it may provide potential targets for therapeutic intervention. In this study, the NGS sequencing of RNA (RNA-Seq) method was employed to obtain the whole transcriptome of cardiac tissues from transplant recipients with advanced stage of HF. The analysis of RNA-Seq data presents novel challenges and many methods have been developed for the purpose of mapping reads to genomic features and quantifying gene expression. The main goal of this work was to identify, characterize and catalogue all the transcripts expressed within cardiac tissue and to quantify the differential expression of transcripts in both physio- and pathological conditions through whole transcriptome analyses. Expression levels, differential splicing, allele-specific expression, RNA editing and fusion transcripts constitute important information when comparing samples for disease related studies. Analysis methods for RNA-Seq data are continuing to evolve. Thus, in order to find the best solution for filter generated list of differentially expressed genes, an informatic approach of NOISeq BIO method has been applied in this RNA-Seq analysis. Most of the genes obtained by filtering differentially expressed gene list, have been experimentally validated by Real time RT-PCR. Noteworthy, these findings provide valuable resources for further studies of the molecular mechanisms involved in heart ischemic response thus leading to potential novel biomarkers and targets for therapeutic intervention in the onset and progression of cardiomyopathies. Overall design: Heart biopsies from candidates for solid organ transplantation were collected and their RNA samples were used for high-throughput sequencing purposes. Libraries were sequenced on the Illumina HiSeq2000 NGS platform.

Publication Title

Heart failure: Pilot transcriptomic analysis of cardiac tissue by RNA-sequencing.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE36100
DKK2 Mediates Osteolysis, Invasiveness, and Metastatic Spread in Ewing Sarcoma
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Ewing sarcoma, an osteolytic malignancy that mainly affects children and young adults, is characterized

Publication Title

DKK2 mediates osteolysis, invasiveness, and metastatic spread in Ewing sarcoma.

Sample Metadata Fields

Cell line

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accession-icon GSE50254
Integration of toxicological end points with molecular measurements in a 28-day rat repeated dose inhalation study with cigarette smoke provides mechanistic understanding of smoke impact
  • organism-icon Rattus norvegicus
  • sample-icon 75 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Demonstration of reduced biological effects with a prototypic modified risk tobacco product.

Publication Title

A 28-day rat inhalation study with an integrated molecular toxicology endpoint demonstrates reduced exposure effects for a prototypic modified risk tobacco product compared with conventional cigarettes.

Sample Metadata Fields

Sex, Specimen part, Treatment

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accession-icon GSE71634
Gene expression profiling of healthy controls upon Interferon-beta stimulation
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

This experiment was carried out in the context of a pharmacogenetic study of long-term (4-year follow-up) response to Interferon-beta treatment in two cohorts of Italian Multiple Sclerosis patients, to identify genetic variants (SNPs) that may influence response to IFN-beta. We integrated results from meta-analysis of the two cohorts with gene expression profiling of IFN stimulated PBMCs from 20 healthy controls and eQTL analyses, to look at possible enrichment of IFN-beta induced genes with genes mapped by top-ranking meta-analyzed SNPs.

Publication Title

Pharmacogenetic study of long-term response to interferon-β treatment in multiple sclerosis.

Sample Metadata Fields

Sex, Specimen part, Disease, Disease stage, Subject

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accession-icon GSE31620
MicroRNA-1 is a candidate tumor suppressor and prognostic marker
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

MicroRNAs (miRs) are small non-coding RNAs that can function as tumor suppressor genes. We previously reported that miR-1 is among the most consistently down-regulated miRs in primary human prostate tumors. In this follow-up study, we further corroborated this finding in an independent dataset and made the novel observation that miR-1 expression is further reduced in distant metastasis and is a predictor of disease recurrence. Moreover, we performed in vitro experiments to explore the candidate tumor suppressor function of miR-1. Cell-based assays showed that miR-1 is epigenetically silenced in human prostate cancer cells. Overexpression of miR-1 in these cells led to growth inhibition and down-regulation of genes in pathways regulating cell cycle progression, mitosis, DNA replication/repair, and actin dynamics. This observation was further corroborated with protein expression analysis and 3-UTR-based reporter assays, indicating that genes in these pathways are either direct or indirect targets of miR-1. A gene set enrichment analysis revealed that miR-1-mediated tumor suppressor effects are globally similar to those of histone deacetylase inhibitors. Lastly, we obtained preliminary evidence that miR-1 alters gH2A.X marker expression and affects the cellular organization of F-actin and filipodia formation. In conclusion, our findings indicate that miR-1 acts as a tumor suppressor in prostate cancer by influencing multiple cancer-related processes and by inhibiting cell proliferation and motility.

Publication Title

MicroRNA-1 is a candidate tumor suppressor and prognostic marker in human prostate cancer.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE3920
EC_interferon
  • organism-icon Homo sapiens
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

IFNs are highly pleiotropic cytokines also endowed with marked anti-angiogenic activity. In this study, the mRNA expression profiles of endothelial cells (EC) exposed in vitro to IFN-alpha, IFN-beta, or

Publication Title

Identification of genes selectively regulated by IFNs in endothelial cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE144248
Cholesterol homeostasis modulates platinum sensitivity in human ovarian cancer
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Here we show that platinum-resistant ovarian cancer cells also show reduced cholesterol biosynthesis, and mostly rely on uptake of exogenous cholesterol for their needs. Expression of FDPS and OSC, enzymes involved in cholesterol synthesis, are decreased both in drug-resistant cells and upon TRAP1 silencing, whereas the expression of LDL receptor, the main mediator of extracellular cholesterol uptake, is increased. Strikingly, treatment with different statins to inhibit cholesterol synthesis reduces cisplatin-induced apoptosis, whereas silencing of LIPG, an enzyme involved in lipid metabolism, increases sensitivity to the drug.

Publication Title

Cholesterol Homeostasis Modulates Platinum Sensitivity in Human Ovarian Cancer.

Sample Metadata Fields

Specimen part, Cell line

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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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