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accession-icon GSE41500
Chromatin H3K27me3/H3K4me3 histone marks define gene sets in high grade serous ovarian cancer that distinguish malignant, tumour sustaining and chemo-resistant ovarian tumour cells.
  • 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

Chromatin H3K27me3/H3K4me3 histone marks define gene sets in high-grade serous ovarian cancer that distinguish malignant, tumour-sustaining and chemo-resistant ovarian tumour cells.

Sample Metadata Fields

Age, Specimen part, Disease stage, Cell line

View Samples
accession-icon GSE41498
Profiling of ovarian tumour and benign lesions
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Investigation of malignancy-associated expression of gene sets based on ovarian tumour histone modification status.

Publication Title

Chromatin H3K27me3/H3K4me3 histone marks define gene sets in high-grade serous ovarian cancer that distinguish malignant, tumour-sustaining and chemo-resistant ovarian tumour cells.

Sample Metadata Fields

Age, Disease stage

View Samples
accession-icon GSE41499
Expression profiling of ovarian cancer cell lines
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Paired platinum-sensitive & platinum-resistant cell lines PEO1 and PEO4 (respectively) were derived from the same patient. Cell line cultures were profiled with the HT-HGU133a GeneChip to investigate chemotherapy resistance related expression of genes marked with different histone modifications in a primary ovarian tumour (clinical data for the primary ovarian tumour is available as Series supplementary file).

Publication Title

Chromatin H3K27me3/H3K4me3 histone marks define gene sets in high-grade serous ovarian cancer that distinguish malignant, tumour-sustaining and chemo-resistant ovarian tumour cells.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE62764
Genome-wide peripheral blood transcriptome analysis of Arab female Lupus and Lupus nephritis
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

Genome-wide alternative splice analysis of RNA from lupus and its severe form lupus nephritis

Publication Title

Genome-wide peripheral blood transcriptome analysis of Arab female lupus and lupus nephritis.

Sample Metadata Fields

Sex, Specimen part, Disease stage

View Samples
accession-icon SRP109109
Epidermal Wnt signaling regulates transcriptome heterogeneity and proliferative fate in neighboring cells
  • organism-icon Mus musculus
  • sample-icon 278 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

We performed single-cell mRNA-Seq on wild-type mouse keratinocytes co-cultured with keratinocytes in which beta-catenin was activated. We identified seven distinct cell states in cultures that had not been exposed to the beta-catenin stimulus. Using temporal single-cell analysis we reconstruct the cell fate changes induced by neighbor Wnt activation. Gene expression heterogeneity was reduced in neighboring cells and this effect was most dramatic for protein synthesis associated genes. The changes in gene expression were accompanied by a shift from a quiescent to a more proliferative stem cell state. By integrating imaging and reconstructed sequential gene expression changes during the state transition we identified transcription factors, including Smad4 and Bcl3, that were responsible for effecting the transition in a contact-dependent manner. Our data indicate that non cell autonomous Wnt/beta-catenin signaling decreases transcriptional heterogeneity and further our understanding of how epidermal Wnt signaling orchestrates regeneration and self-renewal. Overall design: Comparison of cells exposed to Wnt activated neighbors versus unactivated.

Publication Title

Epidermal Wnt signalling regulates transcriptome heterogeneity and proliferative fate in neighbouring cells.

Sample Metadata Fields

Specimen part, Treatment, Subject

View Samples
accession-icon SRP039077
Gene expression analysis of airway epithelial cells exposed to flagellin via RNA-seq
  • organism-icon Homo sapiens
  • sample-icon 61 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

Airway epithelial cells (AEC) are critical components of the inflammatory and immune response during exposure to pathogens. AECs in monolayer culture and differentiated epithelial cells in air-liquid interface (ALI) represent two distinct and commonly used in vitro models, yet differences in their response to pathogens have not been investigated. In this study, we compared the transcriptional effects of flagellin on AECs in monolayer culture versus ALI culture using exon microarrays and RNAsequencing. We found that AECs cultured in monolayer and ALI have strikingly different transcriptional states at baseline. When challenged with flagellin, monolayer AEC cultures greatly increased transcription of numerous genes mapping to wounding response, immunity and inflammatory response. In contrast, AECs in ALI culture had an unexpectedly muted response to flagellin, both in number of genes expressed and relative enrichment of inflammatory and immune pathways. In conclusion, In vitro culturing methods have a dramatic effect on the transcriptional profile of AECs at baseline and after stimulation with flagellin. These differences suggest that epithelial responses to pathogen challenges are distinctly different in culture models of intact and injured epithelium. Overall design: A total of eight independent RNAseq experiments were conducted. Four RNAseq experiments (n = 2 unstimulated, n = 2 stimulated with flagellin) were performed using AECs grown in monolayer. Four RNAseq experiments (n =2 unstimulated, n = 2 stimulated with flagellin) were conducted using AECs grown in ALI cultures

Publication Title

Plasticity of airway epithelial cell transcriptome in response to flagellin.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE38792
Visceral fat trancriptome in obstructive sleep apnea
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Rationale: Obstructive sleep apnea (OSA) has been associated with metabolic dysregulation and systemic inflammation. This may be due to pathophysiologic effects of OSA on visceral adipose tissue. We sought to assess the transcriptional consequences of OSA on adipocytes by utilizing pathway-focused analyses.

Publication Title

A pathway-based analysis on the effects of obstructive sleep apnea in modulating visceral fat transcriptome.

Sample Metadata Fields

Subject

View Samples
accession-icon GSE55460
Gene expression analysis of airway epithelial cells exposed to flagellin via RNA-seq and microarray
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Plasticity of airway epithelial cell transcriptome in response to flagellin.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE55459
Gene expression analysis of airway epithelial cells exposed to flagellin via microarray
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Airway epithelial cells (AEC) are critical components of the inflammatory and immune response during exposure to pathogens. AECs in monolayer culture and differentiated epithelial cells in air-liquid interface (ALI) represent two distinct and commonly used in vitro models, yet differences in their response to pathogens have not been investigated. In this study, we compared the transcriptional effects of flagellin on AECs in monolayer culture versus ALI culture using exon microarrays and RNAsequencing. We found that AECs cultured in monolayer and ALI have strikingly different transcriptional states at baseline. When challenged with flagellin, monolayer AEC cultures greatly increased transcription of numerous genes mapping to wounding response, immunity and inflammatory response. In contrast, AECs in ALI culture had an unexpectedly muted response to flagellin, both in number of genes expressed and relative enrichment of inflammatory and immune pathways. In conclusion, In vitro culturing methods have a dramatic effect on the transcriptional profile of AECs at baseline and after stimulation with flagellin. These differences suggest that epithelial responses to pathogen challenges are distinctly different in culture models of intact and injured epithelium.

Publication Title

Plasticity of airway epithelial cell transcriptome in response to flagellin.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE73667
Expression data from sorted monoyctes/macrophages
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

Tissue injury, such as incisional wound, results in an inflammatory response as well as acute to chronic mechanical and thermal pain. It is now understood that there is a strong contribution of these immune cells to the pain phenotype.

Publication Title

CD11b+Ly6G- myeloid cells mediate mechanical inflammatory pain hypersensitivity.

Sample Metadata Fields

Sex, Age

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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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