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accession-icon GSE5667
Transcription data from Normal Skin and Nonlesional and Lesional Atopic Dermatitis/Eczema Skin
  • organism-icon Homo sapiens
  • sample-icon 34 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Atopic dermatitis (AD) is a common pruritic dermatitis with macroscopically nonlesional skin that is often abnormal. Therefore, we used high-density oligonucleotide arrays to identify cutaneous gene transcription changes associated with early AD inflammation as potential disease control targets. Skin biopsy specimens analyzed included normal skin from five healthy nonatopic adults and both minimally lesional skin and nearby or contralateral nonlesional skin from six adult AD patients.

Publication Title

Early cutaneous gene transcription changes in adult atopic dermatitis and potential clinical implications.

Sample Metadata Fields

Specimen part

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accession-icon SRP110669
Single-cell landscape of transcriptional heterogeneity and cell fate decisions during mouse early gastrulation
  • organism-icon Mus musculus
  • sample-icon 633 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

This study explores lineage and regulatory processes involved in early post implantation mouse embryos using single-cell RNA-seq Overall design: Single cells from C57Bl/6Babr mouse embryos at E3.5, E4.5, E5.5 and E6.5 were isolated and subjected to single-cell RNA-seq protocol.

Publication Title

Single-Cell Landscape of Transcriptional Heterogeneity and Cell Fate Decisions during Mouse Early Gastrulation.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE61930
SaOS-2 transfected with CD99 in differentiation medium for 14 days
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Integrated approaches to miRNAs target definition: time-series analysis in an osteosarcoma differentiative model.

Sample Metadata Fields

Specimen part, Cell line, Time

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accession-icon GSE61928
SaOS-2 transfected with CD99 in differentiation medium for 14 days [total RNA]
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We explored the transcriptional modification induced by CD99 transfection in the osteosarcoma cell lines SaOS-2 after 0, 7 and 14 days in differentiation medium.

Publication Title

Integrated approaches to miRNAs target definition: time-series analysis in an osteosarcoma differentiative model.

Sample Metadata Fields

Specimen part, Cell line, Time

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accession-icon GSE34917
IRF-8 extinguishes neutrophil production and promotes dendritic cell lineage commitment in both myeloid and lymphoid progenitors
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

IRF-8 extinguishes neutrophil production and promotes dendritic cell lineage commitment in both myeloid and lymphoid mouse progenitors.

Sample Metadata Fields

Specimen part

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accession-icon GSE34892
IRF-8 extinguishes neutrophil production and promotes dendritic cell lineage commitment in both myeloid and lymphoid progenitors (Affymetrix).
  • organism-icon Mus musculus
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

While most blood lineages are assumed to mature through a single cellular and developmental route downstream of hematopoietic stem cells (HSCs), dendritic cells (DCs) can be derived from both myeloid and lymphoid progenitors in vivo. To determine how distinct progenitors can generate similar downstream lineages, we examined the transcriptional changes that accompany loss of in vivo myeloid potential as common myeloid progenitors (CMPs) differentiate into common dendritic cell progenitors (CDPs), and as lymphoid-primed multipotent progenitors (LMPPs) differentiate into all lymphoid progenitors (ALPs). Microarray studies revealed that Interferon regulatory factor 8 (IRF-8) expression increased during each of these transitions. Competitive reconstitutions using Irf8-/- bone marrow demonstrated cell-intrinsic defects in the formation of CDPs and all splenic dendritic cell subsets. Irf8-/- CMPs and, unexpectedly, Irf8-/- ALPs produced more neutrophils in vivo than their wild type counterparts at the expense of DCs. Retroviral expression of IRF-8 in multiple progenitors led to reduced neutrophil production and increased numbers of DCs, even in the granulocyte-macrophage progenitor (GMP), which does not normally possess conventional DC potential. These data suggest that IRF-8 represses a neutrophil module of development and promotes convergent DC development from multiple lymphoid and myeloid progenitors autonomously of cellular context.

Publication Title

IRF-8 extinguishes neutrophil production and promotes dendritic cell lineage commitment in both myeloid and lymphoid mouse progenitors.

Sample Metadata Fields

Specimen part

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accession-icon GSE46608
Transcriptional regulation of germinal center B and plasma cell fates by dynamical control of IRF4
  • organism-icon Mus musculus
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The transcription factor IRF4 regulates immunoglobulin class switch recombination and plasma cell differentiation. Its differing concentrations appear to regulate mutually antagonistic programs of B and plasma cell gene expression. We show IRF4 to be also required for generation of germinal center (GC) B cells. Its transient expression in vivo induced the expression of key GC genes including Bcl6 and Aicda. In contrast, sustained and higher concentrations of IRF4 promoted the generation of plasma cells while antagonizing the GC fate. IRF4 cobound with the transcription factors PU.1 or BATF to Ets or AP-1 composite motifs, associated with genes involved in B cell activation and the GC response. At higher concentrations, IRF4 binding shifted to interferon sequence response motifs; these enriched for genes involved in plasma cell differentiation. Our results support a model of "kinetic control" in which signaling-induced dynamics of IRF4 in activated B cells control their cell-fate outcomes.

Publication Title

Transcriptional regulation of germinal center B and plasma cell fates by dynamical control of IRF4.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE46606
Transcriptional regulation of germinal center B and plasma cell fates by dynamical control of IRF4 (expression)
  • organism-icon Mus musculus
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Temporal analysis of B cell activation in vitro using CD40L and IL-2/4/5 cytokines in wild type Irf4+/+ B cells or in mutant Irf4-/- B cells harboring a tet-inducible allele of Irf4. IRF4 expression was restored, or not, in the Irf4-/- background by culturing in the presence of low or high concentrations of doxycycline. The results provide insight in the role of IRF4 expression levels in coordinating different programs of B cell differentiation.

Publication Title

Transcriptional regulation of germinal center B and plasma cell fates by dynamical control of IRF4.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon SRP153037
Response of triple negative breast cancer to BAZ2A/B inhibition and BET bromodomain inhibition alone and in combination (RNAseq)
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Three triple negative breast cancer cell lines (MDAMB231, SUM159, and HCC1806) were treated with small molecule inhibitors (JQ1, BET bromodomain inhibitor; GSK2801, BAZ2A/B bromodomain inhibitor) alone and in combination for 72 hours Overall design: 12 experimental samples

Publication Title

GSK2801, a BAZ2/BRD9 Bromodomain Inhibitor, Synergizes with BET Inhibitors to Induce Apoptosis in Triple-Negative Breast Cancer.

Sample Metadata Fields

Cell line, Treatment, Subject

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accession-icon SRP039962
Next Generation Sequencing of Wild-Type FVB/NJ Mouse Cardiac Small RNA
  • organism-icon Mus musculus
  • sample-icon 39 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Purpose: Next-generation sequencing (NGS) provides for quantitation of RNA abundances and comparison of RNA abundances within tissues and cells in a manner not possible with previous microarray technologies. We have made widespread use of Illumina sequencing technologies for RNA quantitation in several publications involving mouse hearts, dating from 2010, and wish to share both high-quality raw sequencing data and data processed to quantitate mRNA abundances from wild-type mice, male and female, at a variety of ages. These data will provide a resource for investigators using microarrays to understand the concentration of transcripts of interest relative to other cardiac RNAs, and will permit deeper interpretation of previous microarray studies. Overall design: 39 cardiac small RNA (microRNA) profiles of 4- to 16 week-old FVB/NJ wild type (WT) mice were generated on Illumina HiSeq 2000 instruments.

Publication Title

Great Expectations: MicroRNA-30d and Cardiac Resynchronization Therapy.

Sample Metadata Fields

No sample metadata fields

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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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