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accession-icon GSE33728
Melanoma cell culture phenotypes
  • organism-icon Homo sapiens
  • sample-icon 15 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

Systematic classification of melanoma cells by phenotype-specific gene expression mapping.

Sample Metadata Fields

Cell line

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accession-icon GSE28335
Melanoma cell culture phenotypes I
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Recent trials with MAPK inhibitors have shown promising results in many patients with metastatic melanoma; however, nearly all responding patients experience disease relapse. We describe here how melanoma cells respond to MAPK inhibition in a phenotype-specific manner, suggesting that slow cycling invasive phenotype cells provide a treatment-resistant pool from which disease relapse may be derived. The implication is that while MAPK inhibition may successfully treat proliferating cells, another cell population needs to be addressed at the same time.

Publication Title

A proliferative melanoma cell phenotype is responsive to RAF/MEK inhibition independent of BRAF mutation status.

Sample Metadata Fields

Cell line

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accession-icon SRP158776
RNA sequencing of FHR1-treated human monocytes
  • organism-icon Homo sapiens
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

The plasma protein FHR1 induces release of inflammatory cytokines IL-1ß, IL-6, IL-18 or TNFa from blood-derived human monocytes. RNA sequencing was performed from RNA of BSA- or FHR1-treated monocytes from 4 different donors. In response to FHR1, 522 monocytic genes were upregulated (gene ontology enrichment analysis), including 35 inflammation related genes, e.g. TNF. Also, G protein-coupled receptors such as EMR2/ADGRE2 were upregulated in response to FHR1. Overall design: Blood-derived monocytes were treated with BSA or FHR1, after 4h RNA was isolated. RNA of 4 donors were combined and sequenced.

Publication Title

Serum FHR1 binding to necrotic-type cells activates monocytic inflammasome and marks necrotic sites in vasculopathies.

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon SRP041581
T-TRAP Profiling Reveals Dynamic Changes in the Transcriptome during Circuit Assembly
  • organism-icon Drosophila melanogaster
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Purpose: Communication between growth cones and their environment plays a central role in assembling neural circuits. We use Tandemly-Tagged Ribosome Affinity Purification (T-TRAP) of mRNA from R cells followed by RNA-seq for multiple time points during development to follow gene expression during target selection and synapse formation. Methods: We chose a ribosome trap method by modifying the N-terminus of the Drosophila ribosomal protein RpL10 with two tandemly arranged epitopes, 3X FLAG and GFP, separated by the Tobacco Etch Virus (TEV) protease site and expressed this in specific cell types using the GAL4/UAS system. cDNA libraries were prepared from mRNA associated with the affinity purified ribosomes and sequenced using an Illumina HiSeq 2000. We mapped raw reads to the D. melanogaster reference genome (release FB2013_01) with the gapped aligner Tophat. Only reads uniquely aligned were collected.Transcript expression levels were quantified using RPKM units using customized scripts written in Perl. Results: In this study, we observed massive changes in expression of cell surface proteins over short time scales (i.e. 5 fold differences in the expression of many hundreds of genes over 5 hr intervals) as R cell growth cones encounter the processes of many different neurons during their conversion from growth cones to synaptic terminals. In addition, to changes in transcripts encoding cell surface proteins, other mRNAs changed significantly as did non-coding RNAs (lincRNAs) associated with ribosomes. Although dramatic changes in transcript levels of presynaptic proteins were not observed preceding the onset of synapse formation, marked changes in the 3''-untranslated regions of these transcripts were seen. Conclusions: These studies provide a step towards merging traditional genetic and global genomic approaches to understanding cellular recognition underlying the assembly of neural circuits. Overall design: We chose 7 time points for RNA-seq analysis of R cells during pupal development corresponding to 24, 35, 40, 45, 53, 65 and 96 hrs after pupal formation (APF).

Publication Title

Rapid Changes in the Translatome during the Conversion of Growth Cones to Synaptic Terminals.

Sample Metadata Fields

Age, Specimen part, Subject

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accession-icon GSE87217
Expression data from elicitor-treated Arabidopsis seedling roots
  • organism-icon Arabidopsis thaliana
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Cellulose-Derived Oligomers Act as Damage-Associated Molecular Patterns and Trigger Defense-Like Responses.

Sample Metadata Fields

Specimen part, Treatment, Time

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accession-icon GSE87216
Expression data from elicitor-treated Arabidopsis seedling roots [3h]
  • organism-icon Arabidopsis thaliana
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Plants can perceive the presence of pathogens at the cell surface and plant damage-derived molecules via recognition of conserved microbial molecules, named pathogen- or microbe-associated molecular patterns (PAMPs) and damage associated molecular patterns (DAMPs). Well-studied examples of PAMPs are chito-oligomers, breakdown products of fungal cell walls and insect exoskeletons. Pectin-derived oligogalacturonides (OGs) are well-characterized DAMPs. Both PAMPs nd DAMPs are capable of activating plant immunity, generating changes in gene expression that lead to increased production of defense compounds and proteins; thus, equipping the plant cell to defend itself.

Publication Title

Cellulose-Derived Oligomers Act as Damage-Associated Molecular Patterns and Trigger Defense-Like Responses.

Sample Metadata Fields

Specimen part, Treatment, Time

View Samples
accession-icon GSE87215
Expression data from elicitor-treated Arabidopsis seedling roots [25min]
  • organism-icon Arabidopsis thaliana
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Plants can perceive the presence of pathogens at the cell surface and plant damage-derived molecules via recognition of conserved microbial molecules, named pathogen- or microbe-associated molecular patterns (PAMPs) and damage associated molecular patterns (DAMPs). Well-studied examples of PAMPs are chito-oligomers, breakdown products of fungal cell walls and insect exoskeletons. Pectin-derived oligogalacturonides (OGs) are well-characterized DAMPs. Both PAMPs nd DAMPs are capable of activating plant immunity, generating changes in gene expression that lead to increased production of defense compounds and proteins; thus, equipping the plant cell to defend itself.

Publication Title

Cellulose-Derived Oligomers Act as Damage-Associated Molecular Patterns and Trigger Defense-Like Responses.

Sample Metadata Fields

Specimen part, Treatment, Time

View Samples
accession-icon GSE26717
Microarray analysis of R7 and R8 targeting
  • organism-icon Drosophila melanogaster
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

The formation of neuronal connections requires the precise guidance of developing axons towards their targets. In the Drosophila visual system, photoreceptor neurons (R cells) project from the eye into the brain. These cells are grouped into some 750 clusters comprised of eight photoreceptors or R-cells each. R cells fall into three classes, R1-R6, R7 and R8. Posterior R8 cells are the first to project axons into the brain. How these axons select a specific pathway is not known.

Publication Title

Robo-3--mediated repulsive interactions guide R8 axons during Drosophila visual system development.

Sample Metadata Fields

Specimen part

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accession-icon E-MEXP-547
Transcription profiling of elicitor treatment over time (0, 30, 60 min) in Arabidopsis Landsberg (wt) and fls2-17 (flagellin receptor mutant)
  • organism-icon Arabidopsis thaliana
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Transcriptional changes upon elicitor treatment over time (0, 30, 60 min) have been analysed with the A.thaliana Landsberg (wt) and fls2-17 (flagellin receptor mutant).

Publication Title

Perception of the bacterial PAMP EF-Tu by the receptor EFR restricts Agrobacterium-mediated transformation.

Sample Metadata Fields

Age, Compound, Time

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accession-icon GSE48547
Fate changes leading to multipotency of isolated mesenchymal cells
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Cell isolation induces fate changes of bone marrow mesenchymal cells leading to loss or alternatively to acquisition of new differentiation potentials.

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)

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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