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accession-icon GSE34114
Temporal response of mouse peritoneal cells to a non-pathogenic E. coli infection
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Analysis of early and late changes in the mouse peritoneal cells in response to E. coli induced sepis. Result provide an insight into the molecular function and pathways expressed at these different time points.

Publication Title

Transcriptomic analysis of peritoneal cells in a mouse model of sepsis: confirmatory and novel results in early and late sepsis.

Sample Metadata Fields

Sex, Treatment

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accession-icon GSE26647
Gene Expression Changes Associated with the Progression of Intraductal Papillary Mucinous Neoplasms
  • organism-icon Homo sapiens
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Purpose: The diagnosis of high grade intraductal papillary mucinous neoplasm (IPMN) is difficult to distinguish from low grade IPMN. The aim of this study was to identify potential markers for the discrimination of high grade and invasive IPMN from low and moderate grade IPMN.

Publication Title

Gene expression changes associated with the progression of intraductal papillary mucinous neoplasms.

Sample Metadata Fields

Disease, Disease stage, Subject

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accession-icon GSE61573
Radiation response in xenografts of the head and neck cancer UT14 cell line
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Low passage head and neck squamous cancer cells (UT-14-SCC) were injected into the flanks of female nu/nu mice to generate xenografts. After tumors reached a size of 500mm3, they were treated with either sham RT or 15 Gy in one fraction.

Publication Title

Gene expression changes during repopulation in a head and neck cancer xenograft.

Sample Metadata Fields

Cell line

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accession-icon GSE40020
Gene expression characterization of HPV positive head and neck cancer to predict response to Chemoradiation
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

Background: Human papillomavirus has been shown to have a causal role in the development of head and neck squamous cell carcinoma and represents a distinct and well-defined pathology. While HPV-positive HNSCC is associated with a better response to treatment and prognosis, a subset of patients do not respond favorably to current standard of care thus suffering unnecessary morbidity and delay to receive effective therapy.

Publication Title

Gene Expression Characterization of HPV Positive Head and Neck Cancer to Predict Response to Chemoradiation.

Sample Metadata Fields

Disease, Disease stage

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accession-icon GSE68417
Gene expression characterization of high and low grade clear cell renal cell carcinoma
  • organism-icon Homo sapiens
  • sample-icon 49 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Patients undergoing either partial or radical nephrectomy at William Beaumont Hospital (Royal Oak, MI) were consented prior to surgery with local IRB oversight. Samples were collected at time of surgery and stored at -80C according to CAP (College of American Pathologist)-accredited standard operating procedures. Disease pathology of frozen samples was validated with hematoxylin and eosin stained tissue sections from adjacently collected formalin fixed paraffin embedded tissue.

Publication Title

Characterization of clear cell renal cell carcinoma by gene expression profiling.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE6956
Tumor Immunobiological Differences in Prostate Cancer between African-American and European-American Men
  • organism-icon Homo sapiens
  • sample-icon 79 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

The incidence and mortality rates of prostate cancer are significantly higher in African-American men when compared to European-American men. We tested the hypothesis that differences in tumor biology contribute to this survival health disparity. Using microarray technology, we obtained gene expression profiles of primary prostate tumors resected from 33 African-American and 36 European-American patients. These tumors were matched on clinical parameters. We also evaluated 18 non-tumor prostate tissues from 7 African-American and 11 European-American patients. The resulting datasets were analyzed for expression differences on the gene and pathway level comparing African-American with European-American patients. Our analysis revealed a significant number of genes, e.g., 162 transcripts at a false-discovery rate less than 5%, to be differently expressed between African-American and European-American patients. Using a disease association analysis, we identified a common relationship of these transcripts with autoimmunity and inflammation. These findings were corroborated on the pathway level with numerous differently expressed genes clustering in immune response, stress response, cytokine signaling, and chemotaxis pathways. Furthermore, a two-gene tumor signature was identified that accurately differentiated between African-American and European-American patients. This finding was confirmed in a blinded analysis of a second sample set. In conclusion, the gene expression profiles of prostate tumors indicate prominent differences in tumor immunobiology between African-American and European-American men. The profiles portray the existence of a distinct tumor microenvironment in these two patient groups.

Publication Title

Tumor immunobiological differences in prostate cancer between African-American and European-American men.

Sample Metadata Fields

Race

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accession-icon GSE7055
Expression of microRNAs and Protein-coding Genes Associated with Perineural Invasion in Prostate Cancer
  • organism-icon Homo sapiens
  • sample-icon 47 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

BACKGROUND. Perineural invasion (PNI) is the dominant pathway for local invasion in prostate cancer. To date, only few studies have investigated the molecular differences between prostate tumors with PNI and those without it.

Publication Title

Expression of microRNAs and protein-coding genes associated with perineural invasion in prostate cancer.

Sample Metadata Fields

Race

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accession-icon GSE13762
Comparative gene expression profile of 1,25-dihydroxyvitamin D3-treated human monocyte-derived dendritic cells
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We have carried out global gene expression analysis to clarify the interrelationship between 1,25-dihydroxyvitamin D3 and differentiation-driven gene expression patterns in developing human monocyte-derived dendritic cells. Monocytes were treated with 10 nM 1,25-dihydroxyvitamin D3 or vehicle 14 hours after plating for 12 hours or 5 days. Monocytes, differentiating dendritic cells (+/-1,25-dihydroxyvitamin D3 for 12 hours) and immature dendritic cells (+/-1,25-dihydroxyvitamin D3 for 5 days) were harvested. This design allows one to identify genes regulated by differentiation and/or 1,25-dihydroxyvitamin D3 in human monocyte-derived dendritic cells.

Publication Title

1,25-dihydroxyvitamin D3 is an autonomous regulator of the transcriptional changes leading to a tolerogenic dendritic cell phenotype.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP091573
Networks of cultured iPSC-derived neurons reveal the human synaptic activity-regulated adaptive gene program
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconNextSeq 500, Illumina HiSeq 2000

Description

We studied the synaptic activity-regulated gene expression response in the human genetic background using cultured human iPSC-derived (hiPSCd) neuronal networks and networks of hiPSCd neurons mixed with mouse primary neurons. Our results confirm that genetic changes affect the synaptic activity-regulated gene program, proposing a functional mechanism how they have driven evolution of human cognitive abilities. Overall design: We compared RNA profiles of untreated hiPSCd neurons and hiPSCd neurons treated with bicuculline and 4-aminopyridine for 1 or 4 hours. Samples were collected from hiPSCd neuron-only cultures and from co-cultures of hiPSCd neurons and mouse primary hippocampal neurons.

Publication Title

Networks of Cultured iPSC-Derived Neurons Reveal the Human Synaptic Activity-Regulated Adaptive Gene Program.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE68138
An Immune and Inflammation Signature in Prostate Tumors of Smokers
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 52 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st), Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

An Immune-Inflammation Gene Expression Signature in Prostate Tumors of Smokers.

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)

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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