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accession-icon SRP045126
Homo sapiens Transcriptome or Gene expression
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

RNA-seq Identification of a Novel Fusion Gene in a Mesenchymal Tumor

Publication Title

Characterization of FN1-FGFR1 and novel FN1-FGF1 fusion genes in a large series of phosphaturic mesenchymal tumors.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE65882
Identification of genes involved with P. aeruginosa biofilms
  • organism-icon Pseudomonas aeruginosa
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Pseudomonas aeruginosa Array (paeg1a)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Contribution of stress responses to antibiotic tolerance in Pseudomonas aeruginosa biofilms.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE65870
Identification of genes involved with P. aeruginosa biofilm antibiotic resistance by microarray analysis
  • organism-icon Pseudomonas aeruginosa
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Pseudomonas aeruginosa Array (paeg1a)

Description

Microarray analysis was used to identify changes in the level of transcription of genes in P. aeruginosa drip flow biofilms in response to ciprofloxacin and tobramycin exposure. This data was evaluated and used to select strains that carry transposon mutations in genes that might play a role in antibiotic tolerance of biofilms. The strains were evaluated for defects in biofilm tolerance.

Publication Title

Contribution of stress responses to antibiotic tolerance in Pseudomonas aeruginosa biofilms.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE65869
Identification of genes induced in P. aeruginosa biofilms by microarray analysis
  • organism-icon Pseudomonas aeruginosa
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Pseudomonas aeruginosa Array (paeg1a)

Description

Transcriptome analysis was applied to characterize the physiological activities of Psuedomonas aeruginosa cells grown for three days in drip flow biofilm reactors when compared to the activities of P. aeruginosa grown planktonically to exponential phase in the same media. Here, rather than examining the effect of an individual gene on biofilm antibiotic tolerance, we used a transcriptomics approach to identify regulons and groups of related genes that are induced during biofilm growth of Pseudomonas aeruginosa. We then tested for statistically significant overlap between the biofilm-induced genes and independently compiled gene lists corresponding to stress responses and other putative antibiotic protective mechanisms. This data was evaluated and used to select strains that carry transposon mutations in genes that might play a role in antibiotic tolerance of biofilms. The strains were evaluated for defects in biofilm tolerance.

Publication Title

Contribution of stress responses to antibiotic tolerance in Pseudomonas aeruginosa biofilms.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE42214
Wheat drought responses
  • organism-icon Triticum aestivum
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Wheat Genome Array (wheat)

Description

Three wheat genotypes were exposed to water stress and root tissue collected for expression analysis

Publication Title

Introgression of novel traits from a wild wheat relative improves drought adaptation in wheat.

Sample Metadata Fields

Specimen part

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accession-icon GSE22164
Physiology of Pseudomonas aeruginosa in Biofilms Revealed by Comparative Transcriptomic Analysis.
  • organism-icon Pseudomonas aeruginosa
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Pseudomonas aeruginosa Array (paeg1a)

Description

Abstract: Transcriptome analysis was applied to characterize the physiological activities of Pseudomonas aeruginosa grown for three days in drip-flow biofilm reactors. Conventional applications of transcriptional profiling often compare two paired data sets that differ in a single experimentally controlled variable. In contrast this study obtained the transcriptome of a single biofilm state, ranked transcript signals to make the priorities of the population manifest, and compared rankings for a priori identified physiological marker genes between the biofilm and published data sets.

Publication Title

Physiology of Pseudomonas aeruginosa in biofilms as revealed by transcriptome analysis.

Sample Metadata Fields

Treatment

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accession-icon GSE24052
Expression data in whole Arabidopsis seedlings after treatment with the herbicide dicamba
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Dicamba is an auxin-like herbicide that can stimulate the production of ethylene and ABA biosynthesis. The subsequent stomatal closure and build-up of reactive oxygen species is hypothesized to contribute to plant death.

Publication Title

Mutant analysis in Arabidopsis provides insight into the molecular mode of action of the auxinic herbicide dicamba.

Sample Metadata Fields

Specimen part

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accession-icon GSE33670
Expression data from human memory CD4 T-cells stimulated with autologous monocytes pulsed with HCMV
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The present study reports an unbiased analysis of the genetic profile and regulation of NKG2D expressing CD4 T-cells.An Affymetrix microarray analysis was used to explore the genetic profile of NKG2D+ versus NKG2D- CD4 T-cells. The genetic profile was studied by single gene analysis and gene set enrichment analysis. I found that several immune regulatory receptors was regulated differently in NKG2D+ versus NKG2D- CD4 T-cells. Futhermore, I found that NKG2D+ CD4 T-cells display a genetic profile of cytotoxic T-cells. The gene set enrichment analysis revealed a change in 19 processes, including ARF GTPase activator activity; RNA splicing; Signal transduction; Interspecies interaction between organisms; Regulation of ARF GTPase activity; Cell motility; Mitosis; Cell cycle; Anaphase-promoting complex-dependent proteasomal ubiquitin-dependent protein catabolic process; Induction of apoptosis by extracellular signals; Negative regulation of apoptosis; mRNA export from nucleus; Positive regulation of ubiquitin-protein ligase activity involved in mitotic cell cycle; Cell division; Protein polymerization; Spliceosome assembly; Microtubule-based movement; Immune response; mRNA processing.

Publication Title

Regulation and gene expression profiling of NKG2D positive human cytomegalovirus-primed CD4+ T-cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE89445
Expression data from D.melanogaster guts with a constitutively active Imd in the presence or absence of a microbiome
  • organism-icon Drosophila melanogaster
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

Innate immune responses contributed to the containment of intestinal microbes.

Publication Title

Constitutive Immune Activity Promotes Tumorigenesis in Drosophila Intestinal Progenitor Cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE36331
Chemokine expression in retinal pigment epithelial cells in response to co-culture with activated T Cells
  • organism-icon Homo sapiens
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Purpose: To investigate the effects of T cell-derived cytokines on gene and protein expression of chemokines in a human RPE cell line (ARPE-19).

Publication Title

Chemokine expression in retinal pigment epithelial ARPE-19 cells in response to coculture with activated T cells.

Sample Metadata Fields

Specimen part, Cell line

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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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