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accession-icon GSE81010
Microarray data of mouse primary E2A-PBX1 leukemia and preleukemia cells
  • organism-icon Mus musculus
  • sample-icon 33 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Microarray data of mouse primary E2A-PBX1 leukemias and preleukemia cells were compared to wild-type B-cell progenitor cells

Publication Title

E2A-PBX1 Remodels Oncogenic Signaling Networks in B-cell Precursor Acute Lymphoid Leukemia.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE65088
Biomarker-based classification of bacterial and fungal whole-blood infections in a genome-wide expression study
  • organism-icon Homo sapiens
  • sample-icon 57 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

Sepsis is a clinical syndrome that can be caused by bacteria or fungi. Early knowledge on the nature of the causative agent is a prerequisite for targeted anti-microbial therapy. Besides currently used detection methods like blood culture and PCR-based assays, the analysis of the transcriptional response of the host to infecting organisms holds great promise. In this study, we aim to examine the transcriptional footprint of infections caused by the bacterial pathogens Staphylococcus aureus and Escherichia coli and the fungal pathogens Candida albicans and Aspergillus fumigatus in a human whole-blood model. Moreover, we use the expression information to build a random forest classifier to determine if the pathogen is bacterial, fungal or neither of the two. After normalizing the transcription intensities using stably expressed reference genes, we filtered the gene set for biomarkers of bacterial or fungal blood infections. This selection is based on differential expression and an additional gene relevance measure. In this way, we identified 38 biomarker genes, including IL6, SOCS3, and IRG1 which were already associated to sepsis by other studies. Using these genes, we trained the classifier and assessed its performance. It yielded a 96% accuracy (sensitivities >93%, specificities >97%) for a 10-fold stratified cross-validation and a 92% accuracy (sensitivities and specificities >83%) for an additional dataset comprising Cryptococcus neoformans infections. Furthermore, the noise-robustness of the classifier suggests high rates of correct class predictions on datasets of new species. In conclusion, this genome-wide approach demonstrates an effective feature selection process in combination with the construction of a well-performing classification model. Further analyses of genes with pathogen-dependent expression patterns can provide insights into the systemic host responses, which may lead to new anti-microbial therapeutic advances.

Publication Title

Biomarker-based classification of bacterial and fungal whole-blood infections in a genome-wide expression study.

Sample Metadata Fields

Sex, Specimen part, Subject, Time

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accession-icon GSE19534
Alpha-synuclein deficiency affects brain Foxp1 expression and ultrasonic vocalization
  • organism-icon Mus musculus
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Alpha-synuclein is an abundant protein implicated in synaptic function and plasticity, but the molecular mechanism of its action is not understood. Missense mutations and gene duplication/triplication events result in Parkinson's disease, a neurodegenerative disorder of old age with impaired movement and emotion control. Here, we systematically investigated the striatal as well as the cerebellar transcriptome profile of alpha-synuclein-deficient mice via a genome-wide microarray survey in order to gain hypothesis-free molecular insights into the physiological function of alpha-synuclein. A genotype-dependent, specific and strong downregulation of forkhead box P1 (Foxp1) transcript levels was observed in all brain regions from postnatal age until old age and could be validated by qPCR. In view of the co-localization and heterodimer formation of FOXP1 with FOXP2, a transcription factor with a well established role for vocalization, and the reported regulation of both alpha-synuclein and FOXP2 expression during avian song learning, we performed a detailed assessment of mouse movements and vocalizations in the postnatal period. While there was no difference in isolation-induced behavioral activity in these animals, the alpha-synuclein-deficient mice exhibited an increased production of isolation-induced ultrasonic vocalizations (USVs). This phenotype might also reflect the reduced expression of the anxiety-related GABA-A receptor subunit gamma 2 (Gabrg2) we observed. Taken together, we identified an early behavioral consequence of alpha-synuclein deficiency and accompanying molecular changes, which supports the notion that the neural connectivity of sound or emotion control systems is affected.

Publication Title

Alpha-synuclein deficiency affects brain Foxp1 expression and ultrasonic vocalization.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE39788
Mapping of Three Genetic Determinants of Susceptibility to Estrogen-Induced Mammary Cancer within the Emca8 Locus on Rat Chromosome 5
  • organism-icon Rattus norvegicus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

We are using the ACI rat model of 17beta-estradiol induced mammary cancer to define the mechanisms through which estrogens contribute to breast cancer development; identify and functionally characterize the genetic variants that determine susceptibility; and define the hormone-gene-environment interactions that influence development of mammary cancer in this physiologically relevant rat model. Female ACI rats are uniquely susceptible to development of mammary cancer when treated continuously with physiologic levels of 17beta-estradiol. Induction of mammary cancer in female ACI rats occurs through a mechanism that is largely dependent upon estrogen receptor-alpha. Interval mapping analyses of progeny generated in intercrosses between susceptible ACI rats and resistant Brown Norway (BN) rats revealed seven quantitative trait loci (QTL), designated Emca3 (Estrogen-induced mammary cancer) through Emca9, each of which harbors one or more genetic determinants of mammary cancer susceptibility. Genes that reside within Emca8 on RNO5 and were differentially expressed between 17beta-estradiol treated ACI and ACI.BN-Emca8 congenic rats were identified as Emca8 candidates.

Publication Title

Mapping of three genetic determinants of susceptibility to estrogen-induced mammary cancer within the Emca8 locus on rat chromosome 5.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE6965
Gene expression profile of human dendritic cells after infection with A. fumigatus
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

DCs are localized under the mucosa of the lungs and the gastrointestinal tract, and therefore come into close contact with A. fumigatus germ tubes during early steps of infection as soon as fungi become invasive. For a more detailed insight into differentially regulated genes, whole genome microarray analysis was performed.

Publication Title

Impact of mycophenolic acid on the functionality of human polymorphonuclear neutrophils and dendritic cells during interaction with Aspergillus fumigatus.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE69723
Gene expression profiles of human immature dendritic cells co-cultivated with Aspergillus fumigatus, Candida albicans and LPS for 6h
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

In a whole-transcriptome study, cellular responses of DCs confronted with the fungi A. fumigatus, C. albicans or the bacterial cell wall component LPS were investigated. Therefore DCs of four independent donors were analyzed after 6 hours co-culture with A. fumigatus, C. albicans and LPS by Affymetrix whole genome expression arrays. In general, transcriptomic analysis revealed a clustering of the A. fumigatus and C. albicans stimulated DCs. However, LPS and fungi-dependent gene expression showed more common similarities compared to the untreated control. Stimulation with LPS induced a differential regulation of 2793 genes after 6h, while confrontation with A. fumigatus and C. albicans resulted in 743 and 974 differentially regulated genes, respectively. Kruppel-like factor 4 (KLF4) was identified as the only transcription factor that was down-regulated in DCs by both fungi but induced by stimulation with LPS.

Publication Title

Krüppel-like Factor 4 modulates interleukin-6 release in human dendritic cells after in vitro stimulation with Aspergillus fumigatus and Candida albicans.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE98062
Gene expression in non-adherent MDA-MB-468 subpopulation
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Plasticity between adhesive and less-adhesive states is important for mammalian cell behaviour. To investigate adhesion plasticity, we have selected a stable isogenic subpopulation of MDA-MB-468 breast carcinoma cells which grows in suspension. These suspension cells are unable to re-adhere to various matrices or to contract three-dimensional collagen lattices.

Publication Title

A dual phenotype of MDA-MB-468 cancer cells reveals mutual regulation of tensin3 and adhesion plasticity.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE77969
Gene expression profiles of human immature dendritic cells after 12h of co-cultivation with Aspergillus fumigatus, Candida albicans and LPS
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

In a whole-transcriptome study, cellular responses of DCs confronted with the fungi A. fumigatus, C. albicans or the bacterial cell wall component lipopolysaccharide (LPS) were investigated. Therefore, DCs of four independent donors were harvested after 12 hours co-culture with A. fumigatus, C. albicans and LPS and analyzed with Affymetrix whole genome expression arrays. In general, transcriptomic analysis revealed a clustering of the A. fumigatus- and C. albicans-stimulated DCs. However, LPS and fungi-dependent gene expression showed more common similarities compared to the untreated control.

Publication Title

Specific and Novel microRNAs Are Regulated as Response to Fungal Infection in Human Dendritic Cells.

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon E-MEXP-2
Transcription profiling time series of hematopoietic progenitor cells treated with TNFalpha as they differentiate to dendritic cells
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95A Array (hgu95a), Affymetrix Human Genome U95 Version 2 Array (hgu95av2)

Description

Dendritic Cell differentiation - Transcription Regulator cluster follow-up: The data files associated to this experiment show gene expression levels for a subset of 481 transcripts (out of 12626 genes represented on Affymetrix Genechip HG_U95Av2) corresponding to Transcription Regulators whose expression is changed during the differentiation process of Dendritic Cells as assessed in the 9 conditions tested. Another subset of genes, corresponding to a cluster of CD molecules is available from E-MEXP-1 experiment.

Publication Title

Transcriptional profiling identifies Id2 function in dendritic cell development.

Sample Metadata Fields

Sex, Specimen part, Time

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accession-icon GSE31747
ZEBOV-induced changes in macrophage gene expression
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95 Version 2 Array (hgu95av2)

Description

Zaire ebolavirus (ZEBOV) infections are associated with high lethality in primates. ZEBOV primarily targets mononuclear phagocytes, which are activated upon infection and secrete mediators believed to trigger initial stages of pathogenesis. The characterization of the responses of target cells to ZEBOV infection may therefore not only further understanding of pathogenesis but also suggest possible points of therapeutic intervention. Gene expression profiles of primary human macrophages exposed to ZEBOV were determined using DNA microarrays and quantitative PCR to gain insight into the cellular response immediately after cell entry. Significant changes in mRNA concentrations encoding for 88 cellular proteins were observed. Most of these proteins have not yet been implicated in ZEBOV infection. Some, however, are inflammatory mediators known to be elevated during the acute phase of disease in the blood of ZEBOV-infected humans. Interestingly, the cellular response occurred within the first hour of Ebola virion exposure, i.e. prior to virus gene expression. This observation supports the hypothesis that virion binding or entry mediated by the spike glycoprotein (GP1,2) is the primary stimulus for an initial response. Indeed, ZEBOV virions, LPS, and virus-like particles consisting of only the ZEBOV matrix protein VP40 and GP1,2 (VLPVP40-GP) triggered comparable responses in macrophages, including pro-inflammatory and pro-apoptotic signals. In contrast, VLPVP40 (particles lacking GP1,2) caused an aberrant response. Notably, some cellular interferon-inducible genes were upregulated six hours after exposure to virions and LPS, but not after exposure to VLPVP40-GP. This suggests that GP1,2 binding to macrophages plays an important role in the immediate cellular response.

Publication Title

Ebola virion attachment and entry into human macrophages profoundly effects early cellular gene expression.

Sample Metadata Fields

Disease, Disease stage, Subject

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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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