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accession-icon GSE22061
Gene expression profiles of HCT116 colorectal carcinoma cells treated with HDAC inhibitors
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Histone deacetylases (HDACs) regulate gene expression. Inhibition of class I HDACs has been shown to inhibit cancer cell growth. Largazole, a new potent HDAC inhibitor, shows strong antitumor activity, presumably by modulating transcription of cancer relevant genes.

Publication Title

Anticolon cancer activity of largazole, a marine-derived tunable histone deacetylase inhibitor.

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE33275
Gene expression in P. aeruginosa cystic fibrosis isolates grown on Nematode Growth Medium
  • organism-icon Pseudomonas aeruginosa
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Pseudomonas aeruginosa Array (paeg1a)

Description

Pseudomonas aeruginosa (P. aeruginosa) lung infection is a significant cause of mortality in patients with cystic fibrosis (CF). Existing experimental data in our lab showed significantly different levels of virulence of "early" and "late" P. aeruginosa infection isolates in a C. elegans slow killing model. We wished to examine the expression profile of these isolates in order to explore genes that may be responsible for the observed differences. The expression profiles of two pairs of isolates (four isolates in total) were compared to each other using the Affymetrix P. aeruginosa PAO1 genome array, to gain insight into properties mediating virulence in these isolates. Data analysis was carried out using BIOCONDUCTOR software.

Publication Title

Modulation of gene expression by Pseudomonas aeruginosa during chronic infection in the adult cystic fibrosis lung.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE61395
Transcriptional profiling of lung cancer cells transfected with Zeb1.
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

To elucidate the mechanisms by which the mir-200 and the miR-183~96~182 cluster could regulate EMT and thus cellular migration, invasion and metastasis in NSCLC, we searched for common predicted targets of these microRNA families that might have a potential role in these biological processes. First we performed a cross comparison of multiple gene expression datasets from our mouse models of metastasis. We overlapped 224 genes that were elevated greater than four-folds upon Zeb1 induction in 393P cells with 210 genes that showed greater than two-fold increase in expression in the metastatic 344SQ cells compared to the non-metastatic 393P cells and 143 genes that were repressed to less than 0.5-fold in cells with exogenous expression of miR-200. This resulted in an enriched list of 45 genes that are potential miR-200 targets having a role in the process of EMT and metastasis. Next we performed an overlap of genes that were predicted targets of the miR-200 family members and the miR-183~96~182 cluster using the microRNA prediction algorithms miRanda (www.microRNA.org) and identified a list of 17 highly conserved common targets with a mirSVR score less than -6.0. The only 2 genes common in both the overlapping subsets were Zeb1 and Foxf2.

Publication Title

The miR-200 family and the miR-183~96~182 cluster target Foxf2 to inhibit invasion and metastasis in lung cancers.

Sample Metadata Fields

Cell line, Treatment

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accession-icon GSE60369
Myb permits multilineage airway epithelial cell differentiation
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 R2 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Myb permits multilineage airway epithelial cell differentiation.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE6122
Gene expression in PAO1, clonal AES-1 and non-clonal isolates of Pseudomonas aeruginosa
  • organism-icon Pseudomonas aeruginosa
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Pseudomonas aeruginosa Array (paeg1a)

Description

Pseudomonas aeruginosa (P. aeruginosa) lung infection is a significant cause of mortality in patients with cystic fibrosis (CF). Most CF patients acquire unique P. aeruginosa strains from the environment; however clonal strains have been identified in CF communities in several countries. Two clonal strains infect 10% to 40% of patients in three CF clinics in mainland eastern Australia. The expression profiles of four planktonically-grown isolates of one Australian clonal strain (AES-1), and four nonclonal CF P. aeruginosa isolates were compared to each other and to the reference strain PAO1 using the Affymetrix P. aeruginosa PAO1 genome array, to gain insight into properties mediating the enhanced infectivity of AES-1. The isolates were subsequently grown as 3-day old biofilms and similarly extracted for RNA and compared as above. Data analysis was carried out using BIOCONDUCTOR software.

Publication Title

Gene expression characteristics of a cystic fibrosis epidemic strain of Pseudomonas aeruginosa during biofilm and planktonic growth.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE10527
Genome-wide gene expression in soleus muscle of rats artificially selected for high and low running capacity
  • organism-icon Rattus norvegicus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Purpose: Aerobic capacity is a strong predictor of cardiovascular mortality. To determine the relationship between inborn aerobic capacity and soleus gene expression we examined genome-wide gene expression in soleus muscle of rats artificially selected for high and low running capacity (HCR and LCR, respectively) over 16 generations. The artificial selection of LCR caused accumulation of risk factors of cardiovascular disease similar to the metabolic syndrome seen in man, whereas HCR had markedly better cardiac function. We also studied alterations in gene expression in response to exercise training in the two groups, since accumulating evidence indicates that exercise has profound beneficial effects on the metabolic syndrome.

Publication Title

Gene expression profiling of skeletal muscle in exercise-trained and sedentary rats with inborn high and low VO2max.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE9445
Low and High Capacity Runners - Sedentary and Trained: Left Ventricle
  • organism-icon Rattus norvegicus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Aerobic capacity is a strong predictor of cardiovascular mortality. To determine the relationship between aerobic capacity and cardiac gene expression we examined genome-wide gene expression in hearts of rats artificially selected for high- and low running capacity (HCR and LCR, respectively) over 16 generations. HCR were born with an athletic phenotype, whereas LCR exhibited features of the metabolic syndrome.

Publication Title

Aerobic capacity-dependent differences in cardiac gene expression.

Sample Metadata Fields

Sex

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accession-icon GSE60365
Effects of Myb shRNA on Airway Epithelial Cells
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina MouseWG-6 v2.0 R2 expression beadchip

Description

The epithelium of the pulmonary airway is specially differentiated to provide defense against environmental insults, but also subject to dysregulated differentiation that results in lung disease. The current paradigm for airway epithelial differentiation is a one-step program whereby a p63+ basal epithelial progenitor cell generates a ciliated or secretory cell lineage, but the cue for this transition and whether there are intermediate steps is poorly defined. Here we identify transcription factor Myb as a key regulator that permits early multilineage differentiation of airway epithelial cells. Myb+ cells were identified as p63 and therefore distinct from basal progenitor cells, but were still negative for markers of differentiation.

Publication Title

Myb permits multilineage airway epithelial cell differentiation.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE37693
Gene Expression Effects of IL-13 on Primary Human Airway Epithelial Cells
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

Primary culture airway epithelial cells, grown under physiologic air-liquid interface conditions, with, or without IL-13 in order to study the effects of this cytokine on mucous cell metaplasia, an important feature of asthma and COPD.

Publication Title

IL-13-induced airway mucus production is attenuated by MAPK13 inhibition.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE10304
Gene expression in AES-2 clonal isolates of Pseudomonas aeruginosa
  • organism-icon Pseudomonas aeruginosa
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Pseudomonas aeruginosa Array (paeg1a)

Description

Pseudomonas aeruginosa (P. aeruginosa) lung infection is a significant cause of mortality in patients with cystic fibrosis (CF). Most CF patients acquire unique P. aeruginosa strains from the environment; however clonal strains have been identified in CF communities in several countries. Two clonal strains infect 10% to 40% of patients in three CF clinics in mainland eastern Australia. The expression profiles of four planktonically-grown isolates of one Australian clonal strain (AES-2), and four nonclonal CF P. aeruginosa isolates were compared to each other and to the reference strain PAO1 using the Affymetrix P. aeruginosa PAO1 genome array, to gain insight into properties mediating the enhanced infectivity of AES-1. The isolates were subsequently grown as 3-day old biofilms and similarly extracted for RNA and compared as above. Data analysis was carried out using BIOCONDUCTOR software.

Publication Title

Transcriptome analyses and biofilm-forming characteristics of a clonal Pseudomonas aeruginosa from the cystic fibrosis lung.

Sample Metadata Fields

No sample metadata fields

View Samples

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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