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accession-icon GSE55187
Partial phenotypic rescue of the Sesb1 mitochondrial ANT1 disease model in Drosophila
  • organism-icon Drosophila melanogaster
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

Study of gene expression patterns of Drosophila melanogaster Sesb1 mutants compared to wild type

Publication Title

Phenotypic rescue of a Drosophila model of mitochondrial ANT1 disease.

Sample Metadata Fields

Sex

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accession-icon GSE32959
An integrative computational systems biology approach identifies differentially regulated dynamic transcriptome signatures which drive the initiation of human T helper cell differentiation
  • organism-icon Homo sapiens
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The aim of this dataset was to study in detail the transcription kinetics initiated by cytokines IL-12 and IL-4 in early differentiation of Th1 and Th2 cells, respectively.

Publication Title

An integrative computational systems biology approach identifies differentially regulated dynamic transcriptome signatures which drive the initiation of human T helper cell differentiation.

Sample Metadata Fields

Specimen part

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accession-icon GSE17241
Genome-wide analysis of SATB1 target genes in human T helper cells
  • organism-icon Homo sapiens
  • sample-icon 46 Downloadable Samples
  • Technology Badge IconSentrix Human-6 Expression BeadChip

Description

Special AT-rich binding protein 1 (SATB1) is a global chromatin organizer and a transcription factor induced by interleukin-4 (IL-4) during the early T helper 2 (Th2) cell differentiation. In this study, we investigated the role of SATB1 in T helper cell differentiation by performing gene expression profiling of human differentiating Th cells in which expression of SATB1 was downregulated by RNA interference (RNAi). Our results indicate that SATB1 is involved in the regulation of more than three hundred genes in primary human CD4+ T cells, including several IL-12 and/or IL-4 regulated factors, suggesting a role in the development or function of Th subtypes.

Publication Title

SATB1 dictates expression of multiple genes including IL-5 involved in human T helper cell differentiation.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE35103
Gene expression profiling of human Th17 cell differentiation
  • organism-icon Homo sapiens
  • sample-icon 50 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

The study aims at identifying transcriptional changes induced by in vitro polarization of human cord blood CD4+ cells towards Th17 subtype with combination of IL6, IL1b and TGFb by using timeseries data.

Publication Title

Identification of early gene expression changes during human Th17 cell differentiation.

Sample Metadata Fields

Specimen part, Time

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accession-icon GSE39444
Nanotoxicogenomic study of ZnO and TiO2 responses
  • organism-icon Homo sapiens
  • sample-icon 161 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip, Affymetrix Human Genome U219 Array (hgu219)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Gene expression profiling of immune-competent human cells exposed to engineered zinc oxide or titanium dioxide nanoparticles.

Sample Metadata Fields

Specimen part, Treatment, Time

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accession-icon GSE39316
Nanotoxicogenomic study of ZnO and TiO2 responses (Illumina)
  • organism-icon Homo sapiens
  • sample-icon 90 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

A comprehensive in vitro assessment of two commercial metal oxide nanoparticles, TiO2 and ZnO, was performed using human monocyte-derived macrophages (HMDM), monocyte-derived dendritic cells (MDDC), and T cell leukemia-derived cell line (Jurkat). TiO2 nanoparticles were found to be non-toxic whereas ZnO nanoparticles caused dose-dependent cell death. Subsequently, global gene expression profiling was performed to identify signaling pathways underlying the cytotoxicity caused by ZnO nanoparticles. Analysis was done with doses, 1g/ml and 10g/ml after 6 and 24 hours of exposure. Interestingly, 2703 genes were significantly differentially expressed in HMDM upon exposure to 10g/ml ZnO nanoparticles, while in MDDCs only 12 genes were affected. In Jurkat cells, 980 genes were differentially expressed. It is noteworthy that the gene expression of metallothioneins was upregulated in all the three cell types. In addition to the common ZnO-inducible changes, a notable proportion of the genes were regulated in a cell type-specific manner. Using a panel of ZnO nanoparticles, we obtained an additional support that the cellular response to ZnO nanoparticles is caused by particle dissolution. Gene ontology analysis revealed that the top biological processes disturbed in HMDM and Jurkat cells were regulating cell death and growth. In addition, genes controlling immune system development were affected. Bioinformatics assessment showed that the top human disease category associated with ZnO-responsive genes in both HMDM and Jurkat cells was cancer. Overall, the study revealed novel genes and pathways for mediating ZnO nanoparticle-induced toxicity and demonstrated the value of assessing nanoparticle responses through combined transcriptomics and bioinformatics approach.

Publication Title

Gene expression profiling of immune-competent human cells exposed to engineered zinc oxide or titanium dioxide nanoparticles.

Sample Metadata Fields

Specimen part, Treatment, Time

View Samples
accession-icon GSE39330
Nanotoxicogenomic study of ZnO and TiO2 responses (Affymetrix)
  • organism-icon Homo sapiens
  • sample-icon 71 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

A comprehensive in vitro assessment of two commercial metal oxide nanoparticles, TiO2 and ZnO, was performed using human monocyte-derived macrophages (HMDM), monocyte-derived dendritic cells (MDDC), and T cell leukemia-derived cell line (Jurkat). TiO2 nanoparticles were found to be non-toxic whereas ZnO nanoparticles caused dose-dependent cell death. Subsequently, global gene expression profiling was performed to identify signaling pathways underlying the cytotoxicity caused by ZnO nanoparticles. Analysis was done with doses, 1ug/ml and 10ug/ml after 6 and 24 hours of exposure. Interestingly, 2703 genes were significantly differentially expressed in HMDM upon exposure to 10ug/ml ZnO nanoparticles, while in MDDCs only 12 genes were affected. In Jurkat cells, 980 genes were differentially expressed. It is noteworthy that the gene expression of metallothioneins was upregulated in all the three cell types. In addition to the common ZnO-inducible changes, a notable proportion of the genes were regulated in a cell type-specific manner. Using a panel of ZnO nanoparticles, we obtained an additional support that the cellular response to ZnO nanoparticles is caused by particle dissolution. Gene ontology analysis revealed that the top biological processes disturbed in HMDM and Jurkat cells were regulating cell death and growth. In addition, genes controlling immune system development were affected. Bioinformatics assessment showed that the top human disease category associated with ZnO-responsive genes in both HMDM and Jurkat cells was cancer. Overall, the study revealed novel genes and pathways for mediating ZnO nanoparticle-induced toxicity and demonstrated the value of assessing nanoparticle responses through combined transcriptomics and bioinformatics approach.

Publication Title

Gene expression profiling of immune-competent human cells exposed to engineered zinc oxide or titanium dioxide nanoparticles.

Sample Metadata Fields

Treatment, Time

View Samples
accession-icon GSE67185
Genome wide STAT3 RNAi expression profiling data from Thp,Th0 and Th17 cells
  • organism-icon Homo sapiens
  • sample-icon 108 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

STAT3 is an immidiate regulator of Th17 differentiation. STAT3 difieciency downmodulate Th17 specific genes and Th17 responses. Therefore, we intend to identify genome wide targets of STAT3.

Publication Title

Genome-wide Analysis of STAT3-Mediated Transcription during Early Human Th17 Cell Differentiation.

Sample Metadata Fields

Specimen part, Treatment, Time

View Samples
accession-icon GSE18017
Stat6 mediated regulation of transcription to initiate Th2 program in human T cells
  • organism-icon Homo sapiens
  • sample-icon 111 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2), Illumina human-6 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Genome-wide profiling of interleukin-4 and STAT6 transcription factor regulation of human Th2 cell programming.

Sample Metadata Fields

Specimen part

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accession-icon GSE17974
Genome-wide analysis of early transcriptional events induced by cytokine IL-4 in human cord blood CD4+ T cells
  • organism-icon Homo sapiens
  • sample-icon 57 Downloadable Samples
  • Technology Badge IconIllumina human-6 v2.0 expression beadchip, Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The aim of this dataset was to study in detail the transcription kinetics initiated by cytokine IL-4 in early differentiation of Th2 cells.

Publication Title

Genome-wide profiling of interleukin-4 and STAT6 transcription factor regulation of human Th2 cell programming.

Sample Metadata Fields

Specimen part

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

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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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