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accession-icon GSE13044
Gene expression profiling in the lung and liver of low and high dose Perfluorooctanoic Acid exposed mouse fetuses
  • organism-icon Mus musculus
  • sample-icon 59 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Exposure to PFOA during gestation altered the expression of genes related to fatty acid catabolism in both the fetal liver and lung. In the fetal liver, the effects of PFOA were robust and also included genes associated with lipid transport, ketogenesis, glucose metabolism, lipoprotein metabolism, cholesterol biosynthesis, steroid metabolism, bile acid biosynthesis, phospholipid metabolism, retinol metabolism, proteosome activation, and inflammation. These changes are consistent with activation of PPAR alpha. Non-PPAR alpha related changes were suggested as well.

Publication Title

Gene expression profiling in the lung and liver of PFOA-exposed mouse fetuses.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE55487
Isolation and genomic characterization of cancer stem cells in head and neck cancer
  • organism-icon Homo sapiens
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [transcript (gene) version (huex10st)

Description

This study investigated the use of three different established cell sorting strategies to isolate and characterize stem cells from head and neck cancer cell lines.

Publication Title

Isolation and genomic characterization of stem cells in head and neck cancer.

Sample Metadata Fields

Cell line

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accession-icon SRP034592
eRNA: A graphic user interface-based tool for RNA sequencing data analysis [mRNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

we performed RNA sequencing analysis using 10 tissue samples from human prostate and evaluated efficiency and accuracy of eRNA on mRNA-seq data analysis. Overall design: We sequenced mRNAs from the 10 human tissue samples. After that, we identified mRNAs in these samples against known human genes.

Publication Title

eRNA: a graphic user interface-based tool optimized for large data analysis from high-throughput RNA sequencing.

Sample Metadata Fields

No sample metadata fields

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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 GSE20161
Networks and miRNAs implicated in aggressive prostate cancer
  • organism-icon Homo sapiens
  • sample-icon 90 Downloadable Samples
  • Technology Badge IconIllumina human-6 v2.0 expression beadchip

Description

Background: Prostate cancer (PC), a complex disease, can be relatively harmless or extremely aggressive. To identify candidate genes involved in causal pathways of aggressive PC, we implemented a systems biology approach by combining differential expression analysis and co-expression network analysis to evaluate transcriptional profiles using lymphoblastoid cell lines from 62 PC patients with aggressive phenotype (Gleason grade > 8) and 63 PC patients with nonaggressive phenotype (Gleason grade < 5). From 13935 mRNA genes and 273 microRNAs tested, we identified significant differences in 1100 mRNAs and 7 microRNAs with false discovery rate < 0.01. We also identified a co-expression module demonstrating significant association with the aggressive phenotype of PC (p=3.67x10-11). The module of interest was characterized by over-representation of cell cycle-related genes (false discovery rate = 3.50x10-50). From this module, we further defined 20 hub genes that were highly connected to other genes. Interestingly, five of the 7 differentially expressed microRNAs have been implicated in cell cycle regulation and two (miR-145 and miR-331-3p) are predicted to target three of the 20 hub genes. Ectopic expression of these two microRNAs reduced expression of target hub genes and subsequently resulted in cell growth inhibition and apoptosis. These results suggest that cell cycle is likely to be a molecular pathway causing aggressive phenotype of PC. Further characterization of cell cycle-related genes (particularly, the hub genes) and miRNAs that regulate these hub genes could facilitate identification of candidate genes responsible for the aggressive phenotype and lead to a better understanding of PC etiology and progression [Cancer Res 2009;69(24):94907].

Publication Title

Gene networks and microRNAs implicated in aggressive prostate cancer.

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 GSE76295
Isolation and comparative analysis of mesenchymal stem cells from human umbilical cord II
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Transcriptome Array 2.0 (hta20)

Description

A non-controversial and non-invasive source of adult stem cells (ASCs), particularly hematopoietic stem cells (HSCs) and mesenchymal stem cells (MSCs) is human umbilical cord blood. HSCs derived from cord blood have been used for treating leukemia and other blood disorders for the last 30 years. While the presence of MSCs in cord blood is limited, umbilical cord has been found to be promising source of MSCs. However, the cord is an anatomically complex organ and potential isolation of MSCs from its various parts has not been fully explored.

Publication Title

Isolation and comparative analysis of potential stem/progenitor cells from different regions of human umbilical cord.

Sample Metadata Fields

Specimen part

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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 GSE14794
Genome-wide Transcriptional Profiling Reveals MicroRNA-correlated Genes and Pathways in Human Lymphoblastoid Cell Lines
  • organism-icon Homo sapiens
  • sample-icon 90 Downloadable Samples
  • Technology Badge IconIllumina human-6 v2.0 expression beadchip

Description

Background: Expression level of many genes shows abundant natural variation in human populations. The variations in gene expression are believed to contribute to phenotypic differences. Emerging evidence has shown that microRNAs (miRNAs) are one of the key regulators of gene expression. However, past studies have focused on the miRNA target genes and use loss- or gain-of-function approach that may not reflect natural association between miRNA and mRNAs. Methodology/Principal Findings: To examine miRNA regulatory effect on global gene expression under endogenous condition, we performed pair-wise correlation coefficient analysis on expression levels of 366 miRNAs and 14,174 messenger RNAs (mRNAs) in 90 immortalized lymphoblastoid cell lines, and observed significant correlations between the two species of RNA transcripts. We identified a total of 7,207 significantly correlated miRNA-mRNA pairs (false discovery rate q <0.01). Of those, 4,085 pairs showed positive correlations while 3,122 pairs showed negative correlations. Gene ontology analyses on the miRNA-correlated genes revealed significant enrichments in several biological pathways related to cell cycle, cell communication and signal transduction. Individually, each of three miRNAs (miR-331, -98 and -33b) demonstrated significant correlation with the genes in cell cycle-related biological processes, which is consistent with important role of miRNAs in cell cycle regulation. Surprisingly, most miRNA-correlated genes were not direct targets predicted by mRNA target prediction program, TargetScan, suggesting indirect endogenous relationship between miRNAs and their correlated mRNAs. Conclusions/Significance: This study demonstrates feasibility of using naturally expressed transcript profiles to identify endogenous correlation between miRNA and miRNA. By applying this genome-wide approach, we have identified thousands of miRNA-correlated genes and revealed potential role of miRNAs in several important cellular functions. The study results along with accompanying data sets will provide a wealth of high-throughput data to further evaluate the miRNA-regulated genes and eventually in phenotypic variations of human populations.

Publication Title

Genome-wide transcriptional profiling reveals microRNA-correlated genes and biological processes in human lymphoblastoid cell lines.

Sample Metadata Fields

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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