refine.bio
  • Search
      • Normalized Compendia
      • RNA-seq Sample Compendia
  • Docs
  • About
  • My Dataset
github link
Showing
of 462 results
Sort by

Filters

Technology

Platform

accession-icon GSE19190
Distinct epithelial gene expression phenotypes in childhood respiratory allergy
  • organism-icon Homo sapiens
  • sample-icon 57 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

Distinct epithelial gene expression phenotypes in childhood respiratory allergy.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

View Samples
accession-icon GSE19187
Nasal epithelium gene expression profiling in child respiratory allergic disease
  • organism-icon Homo sapiens
  • sample-icon 36 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Background: In asthma, airway epithelium remodeling can already be detected during childhood, and epithelial cells are more susceptible to virus and oxidative stress. Their exact role in natural history and severity of children allergic respiratory disease remains however surprisingly unexplored.

Publication Title

Distinct epithelial gene expression phenotypes in childhood respiratory allergy.

Sample Metadata Fields

Sex, Age, Specimen part, Disease, Disease stage

View Samples
accession-icon GSE19182
Gene expression profiling of differentiated HNECs stimulated by IL4, IL13, IFNalpha, IFNbeta, IFNgamma and controls
  • organism-icon Homo sapiens
  • sample-icon 21 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Background: In asthma, airway epithelium remodeling can already be detected during childhood, and epithelial cells are more susceptible to virus and oxidative stress. Their exact role in natural history and severity of children allergic respiratory disease remains however surprisingly unexplored.

Publication Title

Distinct epithelial gene expression phenotypes in childhood respiratory allergy.

Sample Metadata Fields

Specimen part, Disease

View Samples
accession-icon GSE52589
Early SIV infection and effects of pathogenic and commensal enteric bacteria on expression in ileum tissue
  • organism-icon Macaca mulatta
  • sample-icon 28 Downloadable Samples
  • Technology Badge Icon Affymetrix Rhesus Macaque Genome Array (rhesus)

Description

We used the ileal loop model to assess the effects of enteric bacteria organisms on host gene expression in intestinal tissue independent of and following early SIV infection. SIV infection in the gut causes rapid and severe immune dysfunction and damage to the intestinal structure, this may alter the intimate interaction with lumenal organisms. This study was performed to determine whether early SIV infection, prior to the depletion of CD4+ T cells, can alter interaction of the host with pathogenic Salmonella serovar Typhimurium (ST) or commensal Lactobacillus plantarum (LP), and to further understand the earliest changes to the intestinal mucosa following SIV infection.

Publication Title

Early mucosal sensing of SIV infection by paneth cells induces IL-1β production and initiates gut epithelial disruption.

Sample Metadata Fields

Specimen part

View Samples
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

View Samples
accession-icon GSE78087
Expression data from Col-0 and hcr1 roots
  • organism-icon Arabidopsis thaliana
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Arabidopsis Gene 1.1 ST Array (aragene11st)

Description

Transcript profiling analysis of Hydraulic conductivity of Root 1 (HCR1) mutant compared to wild type (Col-0) using ARABIDOPSIS GENE1.1ST ARRAY STRIP (901793, Affymetrix, Santa Clara, USA).

Publication Title

A Potassium-Dependent Oxygen Sensing Pathway Regulates Plant Root Hydraulics.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE52640
Transcript profiling of transgenic rice lines where the OsMADS26 gene is over-expressed or down growing cultivated in standard or osmotic stress condition
  • organism-icon Oryza sativa
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Rice Genome Array (rice)

Description

Functional analyses of MADS-box transcription factors in plants have unraveled their role in major developmental programs (e.g; flowering and floral organ identity), in stress-related developmental processes such as abscission, fruit ripening and senescence and the role of some of them in stress response regulation was reported. The aim of this study was to decipher the genes that are under the control of the OsMADS26 transcription factor in rice in standard or osmotic stress condition.

Publication Title

OsMADS26 Negatively Regulates Resistance to Pathogens and Drought Tolerance in Rice.

Sample Metadata Fields

Age, Specimen part

View Samples
accession-icon GSE2817
Wavelet modelling of microarray data provides chromosomal pattern of expression which predicts survival in gliomas
  • organism-icon Homo sapiens
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Genetic and epigenetic processes result in gene expression changes through alteration of the chromatin structure. The relative position of genes on chromosomes has therefore important functional implications and can be exploited to model microarray datasets. Gliomas are the most frequent primary brain tumours in adults and their prognosis is related to histology and grade. In oligodendrogliomas, allelic loss of 1p/19q and hypermethylation of MGMT promoter is associated with longer survival and chemosensitivity. In this work we used oligonucleotide microarray to study a group of 30 gliomas with various oligodendroglial and astrocytic components. We used an original approach combining a wavelet model of inter-probe genomic distance (CHROMOWAVE) and unsupervised method of analysis (Singular Value Decomposition) in order to discover new prognostic chromosomal patterns of gene expression. We identified a major pattern of variation that strongly correlated with survival (p= 0.007) and could be visualized as a genome-wide chromosomal pattern including widespread gene expression changes on 1p, 19q, 4, 18, 13 and 9q and multiple smaller clusters scattered along chromosomes. Gene expression changes on chromosomes 1p, 19q and 9q were significantly correlated with the allelic loss of these regions as measured by FISH. Differential expression of genes implicated in drug resistance was also a feature of this chromosomal pattern and in particular low expression of MGMT was correlated with favourable prognosis (p<0.0001). Remarkably, unsupervised analysis of the expression of individual genes and not of their chromosomal ensemble produced a pattern that could not be associated with prognosis, emphasizing the determinant role of the wavelet mathematical modelling.

Publication Title

Chromosomal patterns of gene expression from microarray data: methodology, validation and clinical relevance in gliomas.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon E-MEXP-580
Transcription profiling by array of Saccharomyces cerevisiae mutant for YHB1 after treatment with DETA NONOate
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome S98 Array (ygs98)

Description

Nitric oxide and NO-derived species (RNS) are defense molecules with broad antimicrobial activity. Micro-organisms have developed strategies to sense RNS and counteract their damaging effects. We used Saccharomyces cerevisiae, harbouring a deletion of YHB1 that encodes the main NO scavenger enzyme, to study consequences of RNS exposure on whole genome transcriptional response. The expression of >700 genes was altered on RNS treatment. No major role for ROS-scavenging enzymes was found, and the respiratory chain, the main site of ROS production, had only minor involvement in the RNS-induced stress. The changes were generally transient and also found after treatment with the respiratory inhibitor myxothiazol. 117 genes however showed a persistent response which was not observed after myxothiazol treatment. Of these, genes of the glutathione and DNA repair systems, iron homeostasis and transport were found up-regulated. Severe repression of genes of respiratory chain enzymes was observed. Many of these genes are known to be regulated by the transcription factor Hap1p suggesting that RNS might interfere with Hap1p activity. We showed also that Msn2/4p and Yap1p, key regulators of the response to, respectively, general stress and oxidative stress, played a role in mediating the RNS-induced response.

Publication Title

Transcriptional response to nitrosative stress in Saccharomyces cerevisiae.

Sample Metadata Fields

Compound, Time

View Samples
accession-icon GSE2394
Neuromuscular Junction
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge Icon Affymetrix Murine Genome U74A Version 2 Array (mgu74av2)

Description

NMJ Junction various time points normal C57BL10 LCM mRNA

Publication Title

Intracellular expression profiling by laser capture microdissection: three novel components of the neuromuscular junction.

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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

Powered by Alex's Lemonade Stand Foundation

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.

BSD 3-Clause LicensePrivacyTerms of UseContact