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accession-icon GSE79706
Characterization of Human Lung Airway APC Subsets
  • organism-icon Homo sapiens
  • sample-icon 65 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The respiratory system is a complex network of many cell types, including subsets of macrophages and dendritic cels, that work together to maintain steady-state respiration. Due to limitations in acquiring cells from healthy human lung, these subsets remain poorly characterized transcriptionally and phenotypically. We set out to systemically identify these subsets in human airways, by developing a schema of isolating large numbers of cells by whole lung bronchoalveolar lavage. Six subsets of phagocytic antigen presenting cells were consistently observed, which varied in their ability to internalize bacterial particles. Subsets could be further separated by their inherent capacities to upregulate CD83, CD86, and CCR7. Whole genome transcriptional profiling revealed a clade of true dendritic cells distinct from a macrophage/monocyte clade. Each clade, and each member of both clades, could be discerned by specific genes of increased expression, which would serve as markers for future studies in healthy and diseased states.

Publication Title

Transcriptional Classification and Functional Characterization of Human Airway Macrophage and Dendritic Cell Subsets.

Sample Metadata Fields

Sex, Age

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accession-icon GSE37781
Prolactin-inducible Stat5a-mediated and Stat5b-mediated gene profiles
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Stat5a and Stat5b proteins are highly homologous with greater than 90% amino acid identity and share binding to the palindromic Stat5 consensus sequence, TTCNNNGAA, but individual roles of each transcription factor in breast cancer have not been thoroughly evaluated. To determine the degree of similarity between transcripts modulated by Stat5a and Stat5b proteins in human breast cancer, we utilized genome-wide transcript profiling to identify genes regulated specifically by Stat5a or Stat5b in response to prolactin.

Publication Title

Low levels of Stat5a protein in breast cancer are associated with tumor progression and unfavorable clinical outcomes.

Sample Metadata Fields

Cell line

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accession-icon GSE70922
Expression data from germ-free and conventional mice fed lard or fish oil for 11 weeks
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Dietary lipids and gut microbiota may both influence adipose tissue physiology. By feeding conventional and germ-free mice high fat diets with different lipid compositon we aimed to investigate how dietary lipids and the gut microbiota interact to influence inflammation and metabolism in epididymal adipiose tissue (EWAT)

Publication Title

Crosstalk between Gut Microbiota and Dietary Lipids Aggravates WAT Inflammation through TLR Signaling.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE44927
Transcriptional responses of control and MDV3100 resistant lines to DMSO or MDV3100
  • organism-icon Homo sapiens
  • sample-icon 39 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

LNCaP-derived MDV3100-resistant clones were treated with MDV3100 for 24h prior to collection

Publication Title

An F876L mutation in androgen receptor confers genetic and phenotypic resistance to MDV3100 (enzalutamide).

Sample Metadata Fields

Cell line

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accession-icon GSE44924
Testing rescue of AR signaling by ectopic expression of mutant AR allele in the presence of MDV-3100
  • organism-icon Homo sapiens
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Genetically engineered LNCaPs overexpressing various AR alleles were treated with 0.1% DMSO or 10uM MDV3100 for 24h prior to collection

Publication Title

An F876L mutation in androgen receptor confers genetic and phenotypic resistance to MDV3100 (enzalutamide).

Sample Metadata Fields

Cell line

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accession-icon SRP065678
ATRX is necessary for cellular senescence and represses HRAS to drive cells from quiescence into senescence [RNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2500

Description

Senescence is a state of stable cell cycle exit that has important implications for development, physiology and disease. It is distinct from quiescence in which cells can be induced to re-enter the cell cycle. Although it is well known that there are massive changes in the heterochromatin of senescent cells, the molecular mechanisms underpinning the transition from reversible quiescence into irreversible senescence have remained elusive. Here, we demonstrate that the chromatin-remodeling enzyme ATRX is required for senescence. ATRX accumulates in nuclear foci during both replicative and cellular senescence. Using ChIP-seq and RNA-seq we identified HRAS as part of an ATRX regulated gene expression program associated with senescence. Repression of HRAS is sufficient to promote the transition of quiescent cells into senescence. Thus we conclude that the repression of HRAS is likely a direct consequence of ATRX binding and critical to how it mediates its role in senescence. Overall design: mRNA expression profiles were analyzed in dedifferentiated liposarcoma cell lines under cycling, quiescent and senescent (using two unique inducers) conditions via RNA-seq

Publication Title

ATRX is a regulator of therapy induced senescence in human cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE52434
Transcriptional responses of mantle cell lymphoma (MCL) lines to IKKB inhibition
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

MCL cell lines were treated with DMSO or 5uM AFN700 for 20hrs

Publication Title

Pharmacological and genomic profiling identifies NF-κB-targeted treatment strategies for mantle cell lymphoma.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE42549
Transcriptional responses of mantle cell lymphoma (MCL) lines to PKC inhibition
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

MCL lines (biological replicates) were treated with DMSO or 2.5uM Sotrastaurin for 3hrs

Publication Title

Pharmacological and genomic profiling identifies NF-κB-targeted treatment strategies for mantle cell lymphoma.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE52435
Transcriptional responses of mantle cell lymphoma (MCL) after NIK knockdown
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

MCL lines were treated with or without 100ng/ml doxycycline for 7 days

Publication Title

Pharmacological and genomic profiling identifies NF-κB-targeted treatment strategies for mantle cell lymphoma.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE9076
Rat prostate cancer cells with high Ndrg-1 and vector control - analysis of differentially expressed genes
  • organism-icon Rattus norvegicus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

AT6.1 cells transfected to over-express Ndrg-1 were compared with AT6.1 vector control cells in a microarray analysis. The aim of the study was to identify differentially expressed genes between the two cell lines, as these may be modulated by Ndrg-1.

Publication Title

The iron-regulated metastasis suppressor, Ndrg-1: identification of novel molecular targets.

Sample Metadata Fields

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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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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