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accession-icon GSE66272
Genome-wide analysis of gene expression patterns in human kidney cancer
  • organism-icon Homo sapiens
  • sample-icon 51 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

Integrated microRNA and mRNA Signature Associated with the Transition from the Locally Confined to the Metastasized Clear Cell Renal Cell Carcinoma Exemplified by miR-146-5p.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE66270
Genome-wide analysis of gene expression patterns in human kidney cancer [patients without metastasis]
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To investigate the mechanisms of ccRCC progression and metastasis, we performed expression profiling of human kidney cancer and benign tissues.

Publication Title

Integrated microRNA and mRNA Signature Associated with the Transition from the Locally Confined to the Metastasized Clear Cell Renal Cell Carcinoma Exemplified by miR-146-5p.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon GSE66271
Genome-wide analysis of gene expression patterns in human kidney cancer [patients with metastasis]
  • organism-icon Homo sapiens
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To investigate the mechanisms of kidney tumor progression and metastasis, we performed expression profiling of human kidney cancer and benign tissues.

Publication Title

Integrated microRNA and mRNA Signature Associated with the Transition from the Locally Confined to the Metastasized Clear Cell Renal Cell Carcinoma Exemplified by miR-146-5p.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon SRP049605
Identification of a Molecular Signature for Acute Lyme Disease by Human Transcriptome Profiling
  • organism-icon Homo sapiens
  • sample-icon 97 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Lyme disease is challenging to diagnose, as clinical manifestations are variable and current tools to detect nucleic acid or antibody responses from Borrelia burgdorferi infection have low sensitivity. Here we conducted the first study of the global transcriptome of patients with Lyme disease to identify potential diagnostic biomarkers. Twenty-nine patients were enrolled and compared to 13 healthy controls at three time points after infection. Fifteen publicly available transcriptome datasets from patients in vivo or infection models in vitro were used to assess specificity of differentially expressed genes (DEGs). We found that Lyme disease results in profound and sustained changes in the patient transcriptomes, with a specific signature that shares =44% DEGs with other infections. Overall design: Gene expression profile from peripheral mononuclear blood cells (PBMC) of Lyme disease patients against healthy controls was undertaken. A total of 29 Lyme disease patients were sampled at 3 time points: acute Lyme pre-treatment (V1), 3 weeks later, immediately following completion of a standard course of antibiotics (V2), and 6 months following treatment completion (V5). 13 healthy controls were also sampled at one time point. Total RNA was extracted from 10e7 PBMC, followed by mRNA purification, paired-end barcode library preparation and sequencing on an Illumina Hiseq 2000.

Publication Title

Longitudinal Transcriptome Analysis Reveals a Sustained Differential Gene Expression Signature in Patients Treated for Acute Lyme Disease.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE9812
Molecular heterogeneity of developing retinal ganglion and amacrine cells
  • organism-icon Mus musculus
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

During development of the central nervous system (CNS), cycling uncommitted progenitor cells give rise to a variety of distinct neuronal and glial cell types. As these different cell types are born, they progress from newly specified cells to fully differentiated neurons and glia. In order to define the developmental processes of individual cell types, single cell expression profiling was carried out on developing ganglion and amacrine cells of the murine retina. Individual cells from multiple developmental stages were isolated and profiled on Affymetrix oligonucleotide arrays. These experiments have yielded an expanded view of the processes underway in developing retinal ganglion and amacrine cells, as well as several hundred new marker genes for these cell types. In addition, this study has allowed for the definition of some of the molecular heterogeneity both between developing ganglion and amacrine cells and among subclasses of each cell type.

Publication Title

Molecular heterogeneity of developing retinal ganglion and amacrine cells revealed through single cell gene expression profiling.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE12027
Transcript profiling of Lymphangioleiomyomatosis (LAM) nodules in Human Patients
  • organism-icon Homo sapiens
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Lymphangioleiomyomatosis (LAM) is characterized by cystic lung destruction caused by smooth, muscle-like LAM cells which have mutations in the tumor suppressor genes Tuberous Sclerosis Complex (TSC) 1 or 2, and the capacity to metastasize. Since chemokines and their receptors function in chemotaxis of metastatic cells, we hypothesized that LAM cells may be recruited by chemokine(s) in the lung. Quantification of 25 chemokines in bronchoalveolar lavage fluid from LAM patients and healthy volunteers revealed that concentrations of MCP-1/CCL2, GROa/CXCL1 and ENA-78/CXCL5 were significantly higher in samples from LAM patients than healthy volunteers. In this transcript analysis, expression of chemokine and chemokine receptor mRNA in LAM cells differed from those in melanoma and smooth muscle cells. Subsequent immunohistochemistry of lung sections from 30 LAM patients confirmed protein expression of chemokines and these receptors varied among LAM patient and differed from that seen in breast cancer and melanoma cells. . In vitro, MCP-1/CCL2 induced selective migration of cells showing loss of heterozygosity of TSC2 from a heterogeneous populations of cells grown from explanted LAM lungs. In addition, the frequencies of single-nucleotide polymorphisms in the MCP-1 gene promoter region differed significantly in LAM patients and healthy volunteers (p=0.018), and one polymorphism was associated significantly more frequently with the decline of lung function. These observations are consistent with the notion that chemokines such as MCP-1 may serve to specify site of LAM cell metastasis.

Publication Title

Chemokine-enhanced chemotaxis of lymphangioleiomyomatosis cells with mutations in the tumor suppressor TSC2 gene.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE9715
Transcript Profiling of TSC Tumor Fibroblasts in Human Patients
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Patients with tuberous sclerosis complex (TSC) develop hamartomas containing biallelic inactivating mutations in either TSC1 or TSC2, resulting in mammalian target of rapamycin (mTOR) activation. Hamartomas overgrow epithelial and mesenchymal cells in TSC skin. The pathogenetic mechanisms for these changes had not been investigated, and the existence or location of cells with biallelic mutations (two-hit cells) that resulted in mTOR activation was unclear. We compared TSC skin hamartomas (facial angiofibromas and periungual fibromas) to normal-appearing skin of the same patient, and observed more proliferation and mTOR activation in hamartoma epidermis. Two-hit cells were not detected in the epidermis. Fibroblast-like cells in the dermis, however, exhibited allelic deletion of TSC2, in both touch preparations of fresh tumor samples and cells grown from TSC skin tumors, suggesting that increased epidermal proliferation and mTOR activation were not caused by second-hit mutations in the keratinocytes but by mesenchymal-epithelial interactions. Gene expression arrays, used to identify potential paracrine factors released by mesenchymal cells, revealed more epiregulin mRNA in fibroblast-like angiofibroma and periungual fibroma cells than in fibroblasts from normal-appearing skin of the same patient. Elevation of epiregulin mRNA was confirmed using real-time PCR, and increased amounts of epiregulin protein were demonstrated using immunoprecipitation and ELISA. Epiregulin stimulated keratinocyte proliferation and phosphorylation of ribosomal protein S6 in vitro. These results suggest that hamartomatous TSC skin tumors are induced by paracrine factors released by two-hit cells in the dermis, and that proliferation with mTOR activation of the overlying epidermis is an effect of epiregulin.

Publication Title

Mesenchymal-epithelial interactions involving epiregulin in tuberous sclerosis complex hamartomas.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE10589
Comparison of gene expression between the thyroid of mice lacking Slc26a4 and heterzygous controls.
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Determination of differential expression of genes in the thyroid of pendrin (Slc26a4) heterozygous and knockout mice at a time point corresponding to maximal thyroid gland activity, postnatal day 15 (P15).

Publication Title

Developmental delays consistent with cochlear hypothyroidism contribute to failure to develop hearing in mice lacking Slc26a4/pendrin expression.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE18038
Gene expression profiling of mesenchyme-derived cell populations in the human airways
  • organism-icon Homo sapiens
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Mesenchyme-derived cells in the human airway wall including airway smooth muscle cells, fibroblasts and myofibroblasts are known to play important roles in airway remodeling. The lack of specific phenotypic markers makes it difficult to define these cell populations in primary cultures. The objectives of this study were to evaluate reported markers and to identify novel markers to define these cell types.

Publication Title

Can lineage-specific markers be identified to characterize mesenchyme-derived cell populations in the human airways?

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP028155
Transcriptomic analysis of ERR alpha orphan nuclear receptor
  • organism-icon Homo sapiens
  • sample-icon 73 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Determination of the genes regulated by ERRalpha nuclear receptor in MDA-MB231 cells Overall design: MDA-MB231 cells were inactivated for ERRalpha using siRNA. Three different siRNAs were used (siE1, siE2, siE3). Cells treated with a control siRNA (siC samples) were used for comparison. Duplicate samples were analyzed. Transcriptomic analysis was performed by RNA-Seq

Publication Title

ERRα induces H3K9 demethylation by LSD1 to promote cell invasion.

Sample Metadata Fields

Cell line, Subject

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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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