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accession-icon GSE41233
Using Blood-Informative Transcripts in Geographical Genomics: Impact of Lifestyle on Gene Expression in Fijians
  • organism-icon Homo sapiens
  • sample-icon 41 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

This study explores the impact of lifestyle and environment on gene expression through whole transcriptome profiling of peripheral blood samples in Fijian population (native Melanesians and Indians) living in the rural and urban areas.

Publication Title

Using blood informative transcripts in geographical genomics: impact of lifestyle on gene expression in fijians.

Sample Metadata Fields

Sex, Age, Specimen part, Subject

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accession-icon GSE112798
Machine learning predicts individual cancer patient responses to therapeutic drugs with high accuracy
  • organism-icon Homo sapiens
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Samples of primary tumors collected from 23 ovarian cancer patients

Publication Title

Machine learning predicts individual cancer patient responses to therapeutic drugs with high accuracy.

Sample Metadata Fields

Sex, Specimen part, Disease

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accession-icon GSE27431
miRNAs in ovarian cancer: A systems approach (MAS5, plier, GCRMA)
  • organism-icon Homo sapiens
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

MicroRNAs (miRNAs) are short (~22 nucleotides) regulatory RNAs that can modulate gene expression and are aberrantly expressed in many diseases including cancer. Previous studies have shown that miRNAs inhibit the translation and facilitate the degradation of their targeted mRNAs making them attractive candidates for use in cancer therapy. However, the potential clinical utility of miRNAs in cancer therapy rests heavily upon our ability to understand and accurately predict the consequences of fluctuations in levels of miRNAs within the context of complex tumor cells. To evaluate the predictive power of current models, levels of miRNAs and their targeted messenger RNAs (mRNAs) were measured in laser captured micro-dissected (LCM) ovarian cancer epithelial cells (CEPI) and compared with levels present in ovarian surface epithelial cells (OSE). We found that the predicted inverse correlation between changes in levels of miRNAs and levels of their mRNA targets held for only ~6-11% of predicted target mRNAs. Our results underscore the complexities of miRNA-mediated regulation in vivo and caution against the widespread clinical application of miRNAs and miRNA inhibitors until the basis of these complexities is more fully understood.

Publication Title

Evidence for the complexity of microRNA-mediated regulation in ovarian cancer: a systems approach.

Sample Metadata Fields

Cell line

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accession-icon GSE56973
Functional and evolutionary significance of human microRNA seed region mutations
  • organism-icon Homo sapiens
  • sample-icon 23 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

Functional and evolutionary significance of human microRNA seed region mutations.

Sample Metadata Fields

Cell line

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accession-icon GSE52460
Transcriptional override: a regulatory network model of indirect responses to modulations in microRNA expression
  • organism-icon Homo sapiens
  • sample-icon 18 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

Transcriptional override: a regulatory network model of indirect responses to modulations in microRNA expression.

Sample Metadata Fields

Specimen part

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accession-icon GSE52037
Transcriptional override: a regulatory network model of indirect responses to modulations in microRNA expression (mRNA)
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

MicroRNAs are small non-coding molecules that have been shown to repress the translation of thousands of genes. Changes in microRNA expression in a variety of diseases, including cancer, are leading to the development of microRNAs as early indicators of disease, and to their potential use as therapeutic agents. A significant hurdle to the use of microRNAs as therapeutics is our inability to predict the molecular and cellular consequences of perturbations in the levels of specific microRNAs on targeted cells. While the direct gene (mRNA) targets of individual microRNAs can be computationally predicted and are often experimentally validated, assessing the indirect effects of microRNA variation remains a major challenge in molecular systems biology. We present experimental evidence for a computational model that quantifies the extent to which down-regulated transcriptional repressors contribute to the unanticipated upregulation of putative microRNA targets. An appreciation of the effects of these repressors may provide a more complete understanding of the indirect effects of microRNA dysregulation in diseases such as cancer, and to their successful clinical application.

Publication Title

Transcriptional override: a regulatory network model of indirect responses to modulations in microRNA expression.

Sample Metadata Fields

Specimen part

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accession-icon GSE23392
miRNAs in ovarian cancer: A systems approach
  • organism-icon Homo sapiens
  • sample-icon 8 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

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE81248
Gene expression data from HEY cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The innate immune system is vital to rapidly responding to pathogens and Toll-like receptors (TLRs) are a critical component of this response. Nanovesicular exosomes play a role in immunity, but to date their exact contribution to the dissemination of the TLR response is unknown. To understand the effect of exosomal cargo released from locally stimulated cells on distal cell expression, we collected exosomes from local ovarian adenocarcinoma (HEY) cells that were either unstimulated (control-exosomes), stimulated with pIC (pIC-exosomes), or lipopolysaccharide (LPS-exosomes) for 48 hours. The three groups of exosomes were added to nave (distal) cells and the gene expression profiles were compared between local TLR stimulation (for 6 hours) and distal stimulation mediated by exosomes at the 48-hour time point

Publication Title

TLR-exosomes exhibit distinct kinetics and effector function.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE73978
Expression data from pancreatic ductal adenocarcinoma (PDAC) cell lines AsPC1, BxPC3 and their cisplatin-resistant derivatives AsPC1-R and BxPC3-R
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Cisplatin is a broad-spectrum anticancer drug, which is estimated to be administered to 40-80% of patients undergoing chemotherapy. However, its clinical utility is often limited due to factors that include acquired resistance of cancer cells to cisplatin. Because cisplatin is currently evaluated as a prospective agent for combined chemotherapy of pancreatic ductal adenocarcinoma (PDAC), we have investigated mechanisms involved in the acquired resistance of PDAC cells to cisplatin using gene expression study of two different parental-resistant pairs of PDAC cell lines.

Publication Title

No associated publication

Sample Metadata Fields

Cell line

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accession-icon GSE28781
Inflammation and Extracellular Matrix Genes Differentially Expressed Following Overlapping Zotarolimus- and Sirolimus-Eluting Stent Implantation
  • organism-icon Sus scrofa
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

An unanticipated complication of the use of bare metal stents in percutaneous transluminal coronary angioplasty is in-stent restenosis resulting in >50% late lumen diameter loss in treated patients. In an effort to reduce in-stent restenosis, drug eluting stents containing the immunosuppressant sirolimus or zotarolimus have recently been developed. We report here the molecular response of arterial tissue to the implanting of these drug-eluting stents.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

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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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