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accession-icon SRP021517
Gene Expression Analysis of Zebrafish Melanocytes, Iridophores, and Retinal Pigmented Epithelium Reveals Indicators of Biological Function and Developmental Origin
  • organism-icon Danio rerio
  • sample-icon 35 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000, IlluminaGenomeAnalyzerIIx

Description

In order to facilitate understanding of pigment cell biology, we developed a method to concomitantly purify melanocytes, iridophores, and retinal pigmented epithelium from zebrafish, and analyzed their transcriptomes. Comparing expression data from these cell types and whole embryos allowed us to reveal gene expression co-enrichment in melanocytes and retinal pigmented epithelium, as well as in melanocytes and iridophores. We found 214 genes co-enriched in melanocytes and retinal pigmented epithelium, indicating the shared functions of melanin-producing cells. We found 62 genes significantly co-enriched in melanocytes and iridophores, illustrative of their shared developmental origins from the neural crest. This is also the first analysis of the iridophore transcriptome. Gene expression analysis for iridophores revealed extensive enrichment of specific enzymes to coordinate production of their guanine-based reflective pigment. We speculate the coordinated upregulation of specific enzymes from several metabolic pathways recycles the rate-limiting substrate for purine synthesis, phosphoribosyl pyrophosphate, thus constituting a guanine cycle. The purification procedure and expression analysis described here, along with the accompanying transcriptome-wide expression data, provide the first mRNA sequencing data for multiple purified zebrafish pigment cell types, and will be a useful resource for further studies of pigment cell biology. Overall design: mRNA profiles of zebrafish pigment cells were generated using Illumina GAIIX sequencing

Publication Title

Gene expression analysis of zebrafish melanocytes, iridophores, and retinal pigmented epithelium reveals indicators of biological function and developmental origin.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP132263
RNA-seq analysis of BAP1-depleted uveal melanoma cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

OCM-1A uveal melanoma cells were infected with lentivirus carrying shRNA expression constructs specific for BAP1 or GFP (control), and placed under selection for 6 days. RNA-seq was performed. Overall design: Samples represent three independent experiments treated with control or BAP1 shRNA

Publication Title

Transposase mapping identifies the genomic targets of BAP1 in uveal melanoma.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject, Time

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accession-icon GSE22667
Expression data from human PBMC induced by PCB 153
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Exposure to Polychlorobiphenyls (PCBs) is known to cause serious health effects in human but the gene expression profiles leading to development of differnet diseases and disorders are not fully understood. The knowledge of global gene expression will help us to devlop early disease or disorder biomarkers for PCB induced health effects.

Publication Title

Global gene expression and Ingenuity biological functions analysis on PCBs 153 and 138 induced human PBMC in vitro reveals differential mode(s) of action in developing toxicities.

Sample Metadata Fields

Sex, Age, Specimen part, Treatment

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accession-icon GSE22632
Expression data from human PBMC induced by PCB 138.
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Exposure to Polychlorobiphenyls (PCBs) is known to cause serious health effects in human but the gene expression profiles leading to development of differnet diseases and disorders are not fully understood. The knowledge of global gene expression will help us to devlop early disease or disorder biomarkers for PCB induced health effects.

Publication Title

Global gene expression and Ingenuity biological functions analysis on PCBs 153 and 138 induced human PBMC in vitro reveals differential mode(s) of action in developing toxicities.

Sample Metadata Fields

Sex, Age, Specimen part, Treatment

View Samples
accession-icon GSE20540
Gene expression profiles of myeloma cells interacting with bone marrow stromal cells in vitro
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Conventional anti-cancer drug screening is typically performed in the absence of accessory cells (e.g. stromal cells) of the tumor microenvironment, which can profoundly alter anti-tumor drug activity. To address this major limitation, we have developed assays (e.g. the tumor cell-specific in vitro bioluminescence imaging (CS-BLI) assay) to selectively quantify tumor cell viability, in presence vs. absence of non-malignant stromal cells or drug treatment. These assays have allowed us to identify that neoplastic cells from diverse malignancies exhibit stroma-induced resistance to different anti-tumor agents. In this analysis, we evaluated the molecular changes triggered in myeloma cells by their in vitro interaction with stromal cells. The transcriptional profile of 3 human multiple myeloma (MM) cell lines (MM.1S, MM.1R, INA-6) co-cultured with stromal cells vs. when cultured alone was characterized by oligonucleotide microarray analysis, using the human U133 plus 2.0 Affymetrix GeneChip.

Publication Title

Tumor cell-specific bioluminescence platform to identify stroma-induced changes to anticancer drug activity.

Sample Metadata Fields

Cell line

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accession-icon SRP047476
Impact of regulatory variation from RNA to protein
  • organism-icon Homo sapiens
  • sample-icon 71 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

Genetic variants that impact gene regulation are important contributors to human phenotypic variation. For this reason, considerable efforts have been made to identify genetic associations with differences in mRNA levels of nearby genes, namely, cis expression quantitative trait loci (eQTLs). The phenotypic consequences of eQTLs are presumably due, in most cases, to their ultimate effects on protein expression levels. Yet, only few studies have quantified the impact of genetic variation on proteins levels directly. It remains unclear how faithfully eQTLs are reflected at the protein level, and whether there is a significant layer of cis regulatory variation acting primarily on translation or steady state protein levels. To address these questions, we measured ribosome occupancy by high-throughput sequencing, and relative protein levels by high-resolution quantitative mass spectrometry, in a panel of lymphoblastoid cell lines (LCLs) in which we had previously measured transcript expression using RNA sequencing. We then mapped genetic variants that are associated with changes in transcript expression (eQTLs), ribosome occupancy (rQTLs), or protein abundance (pQTLs). Most of the QTLs we detected are associated with transcript expression levels, with consequent effects on ribosome and protein levels. However, we found that eQTLs tend to have significantly reduced effect sizes on protein levels, suggesting that their potential impact on downstream phenotypes is often attenuated or buffered. Additionally, we confirmed the presence of a class of cis QTLs that specifically affect protein abundance with little or no effect on mRNA levels; most of these QTLs have little effect on ribosome occupancy, and hence may arise from differences in post-translational regulation. Overall design: We measured level of translation transcriptome-wide in lymphoblastoid cell lines derived from 72 HapMap Yoruba individuals using ribosome profiling assay, for which we have transcript level, protein level (62 out of 72) and genotype information collected.

Publication Title

Genomic variation. Impact of regulatory variation from RNA to protein.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE35364
Cancer-associated fibroblast transfected with miR-155, anti-miR-31 and anti-miR-214
  • organism-icon Homo sapiens
  • sample-icon 11 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

MicroRNAs reprogram normal fibroblasts into cancer-associated fibroblasts in ovarian cancer.

Sample Metadata Fields

Specimen part, Time

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accession-icon GSE35250
NOF vs. coCAF 7d
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Campare the difference between pairwise NOF and coCAF tissues for three patients

Publication Title

MicroRNAs reprogram normal fibroblasts into cancer-associated fibroblasts in ovarian cancer.

Sample Metadata Fields

Specimen part, Time

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accession-icon SRP118934
Analysis of gene expression in SKOV3 ovarian cancer cells after knockdown of the long non-coding RNA DNM3OS
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

RNA-sequencing was performed to gain insight into the mechanism responsible for the mesenchymal-to-epithelial transition (MET) induced by loss of long non-coding RNA (lncRNA) DNM3OS in SKOV3 ovarian cancer cells. Following siRNA-mediated knockdown of DNM3OS or non-targeting control, RNA-sequencing was performed. This high-throughput data revealed knockdown of DNM3OS down-regulated the expression of genes and pathways known to induce EMT in ovarian cancer. Overall design: DNM3OS was knockdown in SKOV3 ovarian cancer cells and gene expression profiles were compared with controls using RNA-sequencing.

Publication Title

Decoding critical long non-coding RNA in ovarian cancer epithelial-to-mesenchymal transition.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP114405
Whole Retina RNAseq after injury and Cyclopamine(C) treatment in zebrafish
  • organism-icon Danio rerio
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

several genes are being regulated after injury at various time points and after cyclopamine treatment. Overall design: Examination of uninjured, 12hpi, 4dpi and cyclopamine treated 4dpi retinae with paired-end reads.

Publication Title

let-7 MicroRNA-Mediated Regulation of Shh Signaling and the Gene Regulatory Network Is Essential for Retina Regeneration.

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)

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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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