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accession-icon GSE22283
expression data in lung of mice bearing inducible FGF18 transgene
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Better understanding alveolarization mechanisms could help improving prevention and treatment of diseases characterized by reduced alveolar number, especially bronchopulmonary dysplasia (BPD). Although signaling through fibroblast growth factor (FGF) receptors is essential for alveolarization, involved ligands are unidentified. FGF18 whose expression peaks during alveolar septation is likely to be involved. Herein, a mouse model of inducible, lung-targeted FGF18-transgene was used to advance the onset of FGF18 expression, and genome-wide expression changes were determined.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE7491
Expression data from rat lung alveolar development
  • organism-icon Rattus norvegicus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Lung alveolarization is a complex process that involves interactions between several cell types and leads to considerable increase in gas-exchange surface area. The step designated secondary septation includes elastogenesis from interstitial fibroblasts.

Publication Title

Gene expression profiling in lung fibroblasts reveals new players in alveolarization.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE17824
Transcriptional profiling after inhibition of cellulose synthesis by TA and IXB in Arabidopsis thaliana suspension cells
  • organism-icon Arabidopsis thaliana
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Transcriptional profiling after inhibition of cellulose synthesis by thaxtomin A and isoxaben in Arabidopsis thaliana suspension cells

Publication Title

Transcriptional profiling in response to inhibition of cellulose synthesis by thaxtomin A and isoxaben in Arabidopsis thaliana suspension cells.

Sample Metadata Fields

Specimen part

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accession-icon E-MTAB-1381
Transcription profiling by array of siderophore-drug resistant mutant of Pseudomonas aeruginosa PAO1 in order to obtain information on resistance mechanism(s)
  • organism-icon Pseudomonas aeruginosa
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Pseudomonas aeruginosa Array (paeg1a)

Description

The aim of the experiment was to identify genes differentially expressed between the susceptible wild type strain P. aeruginosa PAO1 (PT5) and a mutant resistant to a drug-siderophore conjugate, in order to obtain information on the resistance mechanism(s). A mutant of PT5 able to grow at 4 mg/l BAL30072, a drug-siderophore conjugate, was selected in vitro . The susceptible wild type strain PT5 and the mutant (BAL6) were grown in LB medium and the mutant also in the presence of 4 mg/l BAL30072 to mid-exponential growth phase (OD600 =2) in triplicate cultures. RNA was extracted using the RNeasy Kit (Qiagen). A total of nine Affymterix P. aeruginosa arrays were hybridized (one for each replicate) under standard conditions.

Publication Title

Involvement of AmpC and Fe-uptake systems in Pseudomonas aeruginosa PAO1 in susceptibility to the siderophore sulfactam BAL30072

Sample Metadata Fields

Compound

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accession-icon GSE8279
Transgenerational Stability of the Arabidopsis Epigenome Is Coordinated by CG Methylation
  • organism-icon Arabidopsis thaliana
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Maintenance of CG methylation (mCG) patterns is essential for chromatin-mediated epigenetic regulation of transcription in plants and mammals. Using successive generations of an Arabidopsis thaliana mutant deficient in maintaining mCG, we found that mCG loss triggered genome-wide activation of alternative epigenetic mechanisms. However, these mechanisms involving RNA-directed DNA methylation, inhibiting expression of DNA demethylases, and retargeting of histone H3K9 methylation act in a stochastic and uncoordinated fashion. As a result, new and aberrant epigenetic patterns were progressively formed over several plant generations in the absence of mCG. Interestingly, the unconventional redistribution of epigenetic marks was necessary to rescue the loss of mCG, since mutant plants impaired in rescue activities were severely dwarfed and sterile. Our results provide evidence that mCG is a central coordinator of epigenetic memory that secures stable transgenerational inheritance in plants.

Publication Title

Transgenerational stability of the Arabidopsis epigenome is coordinated by CG methylation.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE53454
Human islets exposed to cytokines IL-1 and IFN-
  • organism-icon Homo sapiens
  • sample-icon 86 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In the context of T1 Diabetes, pro-inflammatory cytokines IL-1 and IFN- are known to contribute to -cell apoptosis;

Publication Title

Temporal profiling of cytokine-induced genes in pancreatic β-cells by meta-analysis and network inference.

Sample Metadata Fields

Specimen part, Treatment, Time

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accession-icon GSE53453
Rat insulin-producing INS-1E exposed to cytokines IL-1 and IFN-
  • organism-icon Rattus norvegicus
  • sample-icon 40 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 1.0 ST Array (ragene10st)

Description

In the context of T1 Diabetes, pro-inflammatory cytokines IL-1 and IFN- are known to contribute to -cell apoptosis;

Publication Title

Temporal profiling of cytokine-induced genes in pancreatic β-cells by meta-analysis and network inference.

Sample Metadata Fields

Cell line, Treatment, Time

View Samples
accession-icon GSE77816
Expression analysis of WT and Zbtb4 -/- mouse primary fibroblasts
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.0 ST Array (mogene20st)

Description

ZBTB4 is a mammalian transcription factor with Zinc fingers and a BTB/POZ domain, which can bind methylated CpGs, as well as certain unmethylated consensus sequences. ZBTB4 is frequently downregulated in human cancers, but it is unclear whether this is a cause or consequence of transformation. To investigate the role of ZBTB4 in normal and pathological conditions, we generated Zbtb4-/- mice

Publication Title

Loss of the Methyl-CpG-Binding Protein ZBTB4 Alters Mitotic Checkpoint, Increases Aneuploidy, and Promotes Tumorigenesis.

Sample Metadata Fields

Specimen part

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accession-icon GSE54629
Whole-blood transcriptomic profiling highlights rituximab response in rheumatoid arthritis
  • organism-icon Homo sapiens
  • sample-icon 137 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Objective: We performed whole-blood transcriptomic profiling for patients with rheumatoid arthritis (RA) who received rituximab (RTX). We aimed to identify a molecular signature that could predict the clinical response to RTX and transcriptomic changes after RTX therapy.

Publication Title

No associated publication

Sample Metadata Fields

Treatment

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accession-icon GSE10445
MERLION LUNG CANCER STUDY
  • organism-icon Homo sapiens
  • sample-icon 70 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Series of stage IB lung adenocarcinomas and large cell carcinomas. The aim of the study was to predict outcome using a Copy Number Driven Gene Expression signature.

Publication Title

Prediction of clinical outcome in multiple lung cancer cohorts by integrative genomics: implications for chemotherapy selection.

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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