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accession-icon GSE62005
Regulation of dendritic cell genes by alpha fetoprotein
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Human dendritic cells (DC) are suppressed by tumor-derived alpha fetoprotein (AFP), but less so by cord blood-derived normal AFP.

Publication Title

Tumor-derived α-fetoprotein impairs the differentiation and T cell stimulatory activity of human dendritic cells.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE31703
Ecological success of a group of Saccharomyces cerevisiae / Saccharomyces kudriavzevii hybrids in the Northern European wine making environment.
  • organism-icon Saccharomyces cerevisiae x saccharomyces kudriavzevii, Saccharomyces cerevisiae
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

The aim of this project was to evaluate the ploidy of a S. cerevisiae *S. kudriavzevii hybrid in comparison to the lab strain S288C. Other wine yeast have been icluded in the project for the global analysis.

Publication Title

Ecological success of a group of Saccharomyces cerevisiae/Saccharomyces kudriavzevii hybrids in the northern european wine-making environment.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP131347
Transcriptional profile in dermal fibroblasts from patients with collagen VI related muscular dystrophy
  • organism-icon Homo sapiens
  • sample-icon 19 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Objectives: The collagen VI related muscular dystrophies (COL6-RD), Ullrich congenital muscular dystrophy (UCMD) and Bethlem myopathy (BM) are among the most common congenital muscular dystrophies, but the pathogenesis, including the role of mutant collagen VI in the matrix is poorly understood. To better define the pathways disrupted by mutations in collagen VI, we have used a transcriptional profiling approach with RNA-Seq to identify differentially expressed genes in COL6-RD patients from controls. Methods: We have used RNA-Seq to identify differentially expressed genes in cultured dermal fibroblasts from 13 COL6-RD patients (8 dominant negative and 5 null) and 6 controls. Sequence reads were analyzed using the TopHat/Cufflinks pipeline. Results: Differentially expressed transcripts between COL6-RD patient and control fibroblasts include upregulation of ECM components and downregulation of factors controlling matrix remodeling and repair. DN and null samples are differentiated by downregulation of genes involved with DNA replication and repair in null samples Overall design: Expression profiles of dermal fibroblasts from 13 COL6-RD patients with dominant negative (8) or null (5) mutations compared to 6 control fibroblasts.

Publication Title

Transcriptome profiling identifies regulators of pathogenesis in collagen VI related muscular dystrophy.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP081553
Characterization of genetic loss-of-function of Fus in zebrafish
  • organism-icon Danio rerio
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

The RNA-binding protein FUS is implicated in transcription, alternative splicing of neuronal genes and DNA repair. Mutations in FUS have been linked to human neurodegenerative diseases such as ALS (amyotrophic lateral sclerosis). We genetically disrupted fus in zebrafish (Danio rerio) using the CRISPR-Cas9 system. The fus knockout animals are fertile and did not show any distinctive phenotype. Mutation of fus induces mild changes in gene expression on the transcriptome and proteome level in the adult brain. We observed a significant influence of genetic background on gene expression and 3’UTR usage, which could mask the effects of loss of Fus. Unlike published fus morphants, maternal zygotic fus mutants do not show motoneuronal degeneration and exhibit normal locomotor activity. Overall design: We performed paired-end sequencing (100bp reads) of the polyA+ transcriptome from brains of five individuals with Fus-/- genotype and four with Fus wild type genotype. Note on RNA-Seq replicates: after performing first RNA sequencing on four replicates of Fus-/- and WT (labeled with the prefix "Sample_imb_ketting_2014_13_") we received a notice from Illumina stating a problem with the library preparation kit lot that was used to prepare the libraries. Due to that, we performed RNA sequencing a second time, using the same input RNA, except for the Fus knockout replicate #3, because there was not enough input RNA left. Instead, a different Fus knockout replicate (#1) was sequenced. However, we compared the mapped reads from sequencing run 1 and sequencing run 2 using plotCorrelaction from DeepTools, and the samples are highly correlated (at least 0.97 and 0.95, Spearman and Pearson correlation respectively). Therefore, we considered first ("Sample_imb_ketting_2014_13_") and second sequencing runs as technical replicates.

Publication Title

Characterization of genetic loss-of-function of Fus in zebrafish.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE157738
Monocyte-derived DC Expression Data from Advanced Staged Melanoma Patients
  • organism-icon Homo sapiens
  • sample-icon 102 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.0 ST Array (hugene20st)

Description

The metastatic form of Melanoma has a reported ten-year survival rate of approximately 15%. Clinical trials have shown modest success in a subset of patients. Particularly, combinational therapy using checkpoint blockade has shown the most success, but many patients do not respond. The patients that do respond to treatments often have a pre-existing antitumor immunity.

Publication Title

Dysregulated NF-κB-Dependent ICOSL Expression in Human Dendritic Cell Vaccines Impairs T-cell Responses in Patients with Melanoma.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon SRP165272
Quantifying post-transcriptional regulation in the development of Drosophila melanogaster [devel]
  • organism-icon Drosophila melanogaster
  • sample-icon 50 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Proteome and transcriptome often show poor correlation, hindering the system-wide analysis of post-transcriptional regulation. Here, the authors study proteome and transcriptome dynamics during Drosophila embryogenesis and present basic mathematical models describing the temporal regulation of most protein-RNA pairs. Overall design: Whole embryos of Drosophila melanogaster measured at 14 time points during the first 20h of development (0h, 1h, 2h, 3h, 4h, 5h, 6h, 8h, 10h, 12h, 14h, 16h, 18h, 20h). Each sample was measured in biological quadruplicates. RNAseq samples correspond to proteome measurements deposited in ProteomeXchange as PXD005713.

Publication Title

Quantifying post-transcriptional regulation in the development of Drosophila melanogaster.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP127187
RNA deep sequencing analysis of glioma stem cells(GSCs) and non-GSCs
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

To explore potential molecular mechanisms underlying the temporal process of DNA damage and repair in CSCs, we utilized deep RNA sequencing to analyze the expression of DNA damage and repair-associated genes at the transcriptome level. Our gene set analysis of CSCs and matched non-CSCs revealed a stemness-associated upward trend of global gene expression, particularly in NHEJ, mismatch excision repair (MMR) and HR pathways. Overall design: The RNA profiles of IN528, T3961, and T4121 CSCs and matched non-CSCs were generated by deep sequencing.

Publication Title

Temporal DNA-PK activation drives genomic instability and therapy resistance in glioma stem cells.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP043188
HeLa cell polyA- RNA-seq
  • organism-icon Homo sapiens
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIlluminaHiSeq2000

Description

Coilin iCLIP data revealed 42 novel human snoRNAs of intronic origin. To validate their expression and estimate abundance of novel and annotated snoRNAs, we performed RNA-seq on polyA- and rRNA-depleted RNA isolated from HeLa cells. Results show that expression of novel snoRNAs is comparable to the previously annotated snoRNAs. Overall design: 1 replicate of RNA depleted of polyA and ribosomal RNA.

Publication Title

The coilin interactome identifies hundreds of small noncoding RNAs that traffic through Cajal bodies.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP074198
Gene expression profiling of melanoma cell lines by RNASeq
  • organism-icon Homo sapiens
  • sample-icon 61 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Panel of 53 melanoma cell lines were gene expression profiled by RNA-Seq for molecular classification Overall design: mRNA profiles of 53 melanoma cell lines

Publication Title

Interleukin 32 expression in human melanoma.

Sample Metadata Fields

Disease, Disease stage, Cell line, Subject

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accession-icon GSE95472
Gene expression data from BT549 attached/suspended cells
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Cells grown in forced suspension culture mimic the early steps of metastasis. In order to determine what might be driving the ability of TNBC cells to survive in suspension, a global gene expression profiling experiment was performed. Human triple negative breast cancer (TNBC) cell line BT549 was grown in attached or forced suspension conditions for 24 hours, then RNA was harvested to look for changes in global gene expression.

Publication Title

Androgen Receptor Supports an Anchorage-Independent, Cancer Stem Cell-like Population in Triple-Negative Breast Cancer.

Sample Metadata Fields

Specimen part

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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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