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accession-icon SRP015725
Differences in miRNA Detection Levels are Technology and Sequence Dependent [NGS]
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

We undertook an integrative technological approach to compare miRNA detection capability of three high-throughput commercial platforms. Overall design: We artificially introduced human precursor, 2’-O-methyl modified and mature spiked-in miRNAs in a controlled fashion into native human placenta total RNA.

Publication Title

Differences in microRNA detection levels are technology and sequence dependent.

Sample Metadata Fields

Subject

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accession-icon GSE28715
Identification of Med26 target genes in Human HEK 293T cells
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Med26 is a subunit of the Human Mediator complex. The Mediator complex is an evolutionarily conserved coregulatory complex that interacts with RNA polymerase II to regulate gene expression. In metazoa, Mediator is composed of some 30 distinct subunits. Mediator exists in multiple, functionally distinct forms that share a common core of subunits and can be distinguished by the presence or absence of a kinase module composed of Med12, Med13, Cdk8, and Cyclin C. In higher eukaryotes, a subset of Mediator complexes is associated with an additional subunit, Med26. This Med26-containing Mediator copurifies from cells with little or no kinase module, but near-stoichiometric Pol II. Evidence suggests that Med26-containing Mediator plays a key role in transcriptional activation however, the mechanism(s) by which Med26 contributes to this process are not known. To identify Med26 target genes, we used Affymetrix U133A plus 2.0 expression arrays to analyze mRNA expression in 293T cells from which Med26 had been depleted by transient transfection by each of three different siRNAs.

Publication Title

Human mediator subunit MED26 functions as a docking site for transcription elongation factors.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon SRP062126
RNA-Seq: assessment of transcript level analysis tools [seq]
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

This study uses spiked-in transcript in order to compares various bioinformatics approaches and tools to assemble, quantify abundance and detect differentially expressed transcripts using RNA-Seq data. Mouse total RNA seq was extracted from embryonic stem cells (ES) before (designated as day 0) and four days after the addition of retinoic acid. 48 spikes were made in vitro from plasmid constructs and added to the total RNA in different concentrations (each mix has a set of different spike concentrations, see paper''s method). We found that detection of differential expression at the gene level is acceptable, yet on the transcript-isofom level all tools tested were lacking accuracy and precision. Overall design: Mouse total RNA was extracted from embryonic stem cells (ES) before (designated as day 0) and four days after the addition of retinoic acid (RA) (designated as day 4). Mouse spike-ins consisting of 48 different mouse RNA transcripts were generated in vitro from plasmid constructs and added to the total RNA. 23 of the spike-ins originate from 10 different locus regions, so that each locus is represented by at least two different transcripts. The remaining 25 spike-ins represent different loci.

Publication Title

Using Synthetic Mouse Spike-In Transcripts to Evaluate RNA-Seq Analysis Tools.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE75138
RNA-Seq: assessment of transcript level analysis tools [array]
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This study uses spiked-in transcript in order to compare various bioinformatics approaches and tools to assemble, quantify abundance and detect differentially expressed transcripts using RNA-Seq data. Mouse total RNA seq was extracted from embryonic stem cells (ES) before (designated as day 0) and four days after the addition of retinoic acid. 48 spikes were made in vitro from plasmid constructs and added to the total RNA in different concentrations (each mix has a set of different spike concentrations, see paper's method). We found that detection of differential expression at the gene level is acceptable, yet on the transcript-isofom level all tools tested were lacking accuracy and precision.

Publication Title

Using Synthetic Mouse Spike-In Transcripts to Evaluate RNA-Seq Analysis Tools.

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE980
Measles Virus-Infected Dendritic Cells
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95 Version 2 Array (hgu95av2)

Description

Human CD14+ monocytes were isolated and grown in GM-CSF and IL-4 for six days. The cells were then infected with measles virus, Chicago-1 strain, and RNA was isolated at 3, 6, 12, and 24 hours post-infection.

Publication Title

Gene expression patterns in dendritic cells infected with measles virus compared with other pathogens.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE42872
Expression data from BRAFV600E A375 melanoma cells treated with vehicle or vemurafenib
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Vemurafenib is a BRAF inhibitor with specificity for the most common BRAF mutant encountered in melanomas (BRAFV600E). Vemurafenib suppresses the proliferation of BRAF mutant human melanoma cells by suppressing downstream activation of the MEK/ERK mitogen activated protein kinases.

Publication Title

Response of BRAF-mutant melanoma to BRAF inhibition is mediated by a network of transcriptional regulators of glycolysis.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE83896
Small molecules increase direct neural conversion of human fibroblasts
  • organism-icon Homo sapiens
  • sample-icon 29 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Time course micro array experiment to identify transcriptional changes in response to exposure of hFLs to different combinations of small molecules during direct neuronal reprogramming

Publication Title

Small molecules increase direct neural conversion of human fibroblasts.

Sample Metadata Fields

Specimen part, Treatment, Time

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accession-icon GSE67158
Eomes+ natural Th1 (nTh1) T cells share functional features with classical Th1 (cTh1) cells.
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Identification of intrathymic Eomes+ natural Th1 cells creates a novel idea that there is more than one way for the generation of innate CD4 T cells. To more deeply characterize this type of innate T cells, we compared the gene expression profile between nTh1 cells generated in CIITAtg mice and classic Th1 cells differentiated from naive CD4 T cells in Th1-polarizing condition.

Publication Title

Thymic low affinity/avidity interaction selects natural Th1 cells.

Sample Metadata Fields

Age, Specimen part

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accession-icon SRP067193
Frontal Cortex Transcriptome Analysis of Mice Exposed to Electronic Cigarettes During Early Life Stages
  • organism-icon Mus musculus
  • sample-icon 99 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Our study demonstrated that e-cigarettes, both with and without nicotine, induced sex-dependent gene expression change. This RNA-seq study examined the expression profiles of brain frontal cortex samples from mice exposed to classic tobacco flavored bluâ„¢ e-cigarettes during gestation and lactation. Overall design: Brains were extracted and sectioned from ~1-month-old male and female offspring the week following exposure, RNA was isolated and purified from frontal cotrex tissues, and gene expression profiles were analyzed by RNA Sequencing.

Publication Title

Microglia Activation and Gene Expression Alteration of Neurotrophins in the Hippocampus Following Early-Life Exposure to E-Cigarette Aerosols in a Murine Model.

Sample Metadata Fields

Sex, Specimen part, Cell line, Subject

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accession-icon GSE19772
Expression Data From HCMV-Infected Human Monocytes 48 Hours Post-Infection: Role of PI(3)K
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95 Version 2 Array (hgu95av2)

Description

Human cytomegalovirus (HCMV) induces pro-inflammatory monocytes following infection and we have evidence that phosphatidylinositol 3-kinase [PI(3)K] is a key mediator in this activation. To begin to address how this signalling pathway is responsible for the functional changes in infected monocytes, we examined the role this pathway played in the transcriptome of infected monocytes. Global transcriptional profiling using cDNA microarrays revealed a significant number of genes were regulated in a PI(3)K-dependent manner, identifying this pathway as a key cellular control point in the conversion of monocytes to an activated pro-inflammatory state following HCMV infection.

Publication Title

PI3K-dependent upregulation of Mcl-1 by human cytomegalovirus is mediated by epidermal growth factor receptor and inhibits apoptosis in short-lived monocytes.

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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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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