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accession-icon GSE9874
Expression profiles of human macrophages
  • organism-icon Homo sapiens
  • sample-icon 60 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The project was designed to identify genes with an altered expression in macrophages from subjects with atherosclerosis compared to macrophages from control subjects.

Publication Title

Expression profiling of macrophages from subjects with atherosclerosis to identify novel susceptibility genes.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP108538
Multiplex Enhancer Interference Reveals Collaborative Control of Gene Regulation by Estrogen Receptor Alpha Bound Enhancers [RNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Multiple regulatory regions have the potential to regulate a single gene, yet how these elements combine to impact gene expression remains unclear. To uncover the combinatorial relationships between enhancers, we developed Enhancer-interference (Enhancer-i), a CRISPR interference-based approach that can prevent enhancer activation simultaneously at multiple regulatory regions. We applied Enhancer-i to promoter-distal estrogen receptor a binding sites (ERBS), which cluster around estradiol-responsive genes and therefore may collaborate to regulate gene expression. Targeting individual sites revealed predominant ERBS that are completely required for the transcriptional response, indicating a lack of redundancy. Simultaneous interference of different ERBS combinations identified supportive ERBS that contribute only when predominant sites are active. Using mathematical modeling, we find strong evidence for collaboration between predominant and supportive ERBS. Overall, our findings expose a complex functional hierarchy of enhancers, where multiple loci bound by the same transcription factor combine to fine tune the expression of target genes. Overall design: The effects of Enhancer interference (Enhancer-i) and control guide RNA treatment on the transcriptome before and after estrogen treatment, with 2 replicates per condition.

Publication Title

Multiplex Enhancer Interference Reveals Collaborative Control of Gene Regulation by Estrogen Receptor α-Bound Enhancers.

Sample Metadata Fields

Specimen part, Treatment, Subject

View Samples
accession-icon GSE44543
Expression data from mouse embryonic stem cells
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Analysis of the transcriptome of -catenin flox/- mES cells in comparison with -catenin null mES cells or -catenin null mES cells stably transfected with an E-cadherin--catenin fusion protein.

Publication Title

E-cadherin is required for the proper activation of the Lifr/Gp130 signaling pathway in mouse embryonic stem cells.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE24888
Phytochemical variations in medicinal herbs affecting bioefficacy: Equisetum arvense extracts in the global market place as a case study
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

We used phytochemical profiling techniques to generate a list of compounds present in each of 13 Equisetum arvense samples sourced globally. We used microarrays to detail the global programme of gene expression underlying the treatment of the model system Saccharomyces cerevisiae to a chosen number of these extracts. A thorough bioinformatic analysis was performed to identify the relationship between phytochemical and gene expression response profiles.

Publication Title

The Saccharomyces cerevisiae transcriptome as a mirror of phytochemical variation in complex extracts of Equisetum arvense from America, China, Europe and India.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE28446
Expression data from Arabidopsis mature siliques
  • organism-icon Arabidopsis thaliana
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Analysis of the transcriptomes of nearly ripe siliques (18-19 DAP) of the rdo2-1, rdo3 and hub1-2 (rdo4) mutants in comparison with wild-type Ler, using Affymetrix GeneChip Arabidopsis ATH1 Genome Array.

Publication Title

Identification of the Arabidopsis REDUCED DORMANCY 2 gene uncovers a role for the polymerase associated factor 1 complex in seed dormancy.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE50786
Comparison of histone deacetylase 9-1 mutant (SALK_001723) dry seed transcriptome with Col wild-type
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Analysis of the transcriptome of dry hda9-1 mutant seeds with those of Col wild-type seeds, using Affymetrix GeneChip Arabidopsis ATH1 Genome Array.

Publication Title

HISTONE DEACETYLASE 9 represses seedling traits in Arabidopsis thaliana dry seeds.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE20246
Effect of Runx2 Knockdown by siRNA in granulosa cell cultures.
  • organism-icon Rattus norvegicus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

LH-indced RUNX2 expression is important for luteal gene expression.

Publication Title

RUNX2 transcription factor regulates gene expression in luteinizing granulosa cells of rat ovaries.

Sample Metadata Fields

Sex, Age, Specimen part

View Samples
accession-icon SRP021058
The effects of dietary selenium on selenocysteine incorporation and selenoprotein expression
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The goal of this study was to determine the effects of dietary selenium levels on translational control of selenoprotein synthesis in mouse liver. Overall design: Wild type mice and mice expressing a mutant Sec-tRNA gene (TrspA37G) were fed diets supplemented with 0, 0.1, or 2 ppm selenium for 6 weeks. Livers were harvested and ribosome and mRNA profiles were generated by deep-sequencing using the Illumina HiSeq 2000.

Publication Title

Translational redefinition of UGA codons is regulated by selenium availability.

Sample Metadata Fields

Age, Cell line, Treatment, Subject

View Samples
accession-icon SRP150538
Differential RNA-seq analysis of chemosensory sensilla of the wing
  • organism-icon Drosophila melanogaster
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

We carry out a differential RNAseq analysis of a row of sensilla on the anterior wing margin and find expression of many genes associated with pheromone and chemical perception. Overall design: We collected wings from wild type and from Poxn mutants that lack chemosensory sensilla on the wing. We performed RNAseq on three biological replicates from each genotype.

Publication Title

Chemosensory sensilla of the Drosophila wing express a candidate ionotropic pheromone receptor.

Sample Metadata Fields

Age, Specimen part, Subject

View Samples
accession-icon GSE2379
Hypopharyngeal_cancer_transcriptome
  • organism-icon Homo sapiens
  • sample-icon 38 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95A Array (hgu95a)

Description

Gene expression analysis of a unique HNSCC (Head and Neck Squamous Cell Carcinoma) localization, the hypopharynx. Four normal and 34 tumor samples were analysed using Affymetrix HG-U95A microarrays containing probe sets representing ~12650 distinct transcription features.

Publication Title

Identification of genes associated with tumorigenesis and metastatic potential of hypopharyngeal cancer by microarray analysis.

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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