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accession-icon GSE34014
Gene expression profiling and ChIP-Seq study of HoxB4-mediated HSC development from ES cells
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Dynamic HoxB4-regulatory network during embryonic stem cell differentiation to hematopoietic cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE23117
Gene expression in minor salivary gland of patients with Sjogren's syndrome (SS) and control
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To study the gene expression profile of salivary glands with varying degrees of inflammation in Sjogren's and non Sjogren's patients

Publication Title

Chitinases in the salivary glands and circulation of patients with Sjögren's syndrome: macrophage harbingers of disease severity.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE33953
Time-course transcriptome measure of HoxB4-mediated HSC development from ES cells
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Efficient in vitro generation of hematopoietic stem cells (HSCs) from embryonic stem cells (ESCs) holds great promise for cell-based therapies of hematological diseases. To date, HoxB4 remains to be the most effective transcription factor (TF) whose over-expression in ESCs confers long-term repopulating ability to ESC-derived HSCs. Despite its importance, the components and dynamics of the HoxB4 transcriptional regulatory network is poorly understood, hindering efforts to develop a more efficient protocol for in vitro derivation of HSCs. Towards this goal, we performed global gene expression profiling and chromatin immunoprecipitation coupled with deep sequencing (ChIP-Seq) at four stages of the HoxB4-mediated HSC development. Joint analyses of ChIP-Seq and gene expression profiles unveil a number of global features of the HoxB4 regulatory network.

Publication Title

Dynamic HoxB4-regulatory network during embryonic stem cell differentiation to hematopoietic cells.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE31314
Gene expression profile of preclinical arthritis and its modulation by antigen-induced tolerance
  • organism-icon Rattus norvegicus
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Gene 1.0 ST Array (ragene10st)

Description

During the course of adjuvant arthritis, maximal changes in gene expression were observed at the incubation phase. A major group of genes affected was related to immune activity. Tolerance induction by mycobacterial heat-shock protein 65 (Bhsp65), the disease-related antigen, caused upregulation of a large number of genes. These included immune activity genes as well as cell proliferation-related genes.

Publication Title

The gene expression profile of preclinical autoimmune arthritis and its modulation by a tolerogenic disease-protective antigenic challenge.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE69340
Expression data from cerebral cortices of bacTRAP transgenic mice
  • organism-icon Mus musculus
  • sample-icon 27 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

We used microarrays of eight different cell types in cortex to conduct specificity index analysis for detailed cell type specific molecular profile.

Publication Title

Layer 2/3 pyramidal cells in the medial prefrontal cortex moderate stress induced depressive behaviors.

Sample Metadata Fields

Specimen part

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accession-icon E-MEXP-637
Transcription profiling by array of Arabidopsis mutant for brx after treatment with brassinolide or indole-3-acetic acid
  • organism-icon Arabidopsis thaliana
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

We compared the seedling transcription profiles to determine the effects of loss-of-function of the BRX gene of Arabidopsis. BRX is required for optimal root growth. We compared seedlings of a loss-of-function line (brx) with its control background (Sav-0). Because the loss-of-function line was derived from introgression, a brx line that was complemented by a transgenic wild type copy of BRX was also included as a control. This line (rescued brx) allows the identification of expression differences that are due to introgression drag. See Mouchel et al. 2004, Genes & Dev. Vol. 18, p. 700 for a detailed description. We also compared to response of the different genotypes to the application of the phytohormones brassinolide (BL) and indole acetic acid (IAA)

Publication Title

BRX mediates feedback between brassinosteroid levels and auxin signalling in root growth.

Sample Metadata Fields

Age, Compound, Time

View Samples
accession-icon GSE3566
Enigma (CG9006) RNAi vs control RNAi in Drosophila Kc-167 cells.
  • organism-icon Drosophila melanogaster
  • sample-icon 5 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome Array (drosgenome1)

Description

5 day RNAi treatment to knockdown Enigma, CG9006, a Drosophila mitochondrial protein with homology to acyl-CoA dehydrogenases.

Publication Title

Enigma, a mitochondrial protein affecting lifespan and oxidative stress response in Drosophila.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE74410
Prdm1
  • organism-icon Mus musculus
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Single-cell RNA-seq reveals cell type-specific transcriptional signatures at the maternal-foetal interface during pregnancy.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP065344
Single-cell RNA-seq transcriptome profiling of Prdm1+ lineages in E9.5 mouse placenta
  • organism-icon Mus musculus
  • sample-icon 77 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Our goal was to transcriptionally profile Prdm1+ cell lineages of maternal and embryonic origin in mid-gestation mouse placenta in order to study vascular mimicry and additional processes in the placenta. Overall design: Profiling of 61 single cells and 17 clusters of 2 or 3 cells chosen based on expression of Prdm1, a paternally inherited Prdm1-Venus fluorescent reporter, progenitor trophoblast marker Gjb3 and spiral artery trophoblast giant cell marker Prl7b1.

Publication Title

Single-cell RNA-seq reveals cell type-specific transcriptional signatures at the maternal-foetal interface during pregnancy.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE74409
Molecular function of Prdm1/Blimp1 in trophoblast giant cell differentiation.
  • organism-icon Mus musculus
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIllumina MouseWG-6 v2.0 expression beadchip

Description

Expression profiling of wild-type and Prdm1 null mouse trophoblast giant cell cultures using Illumina whole genome mouse V2 arrays.

Publication Title

Single-cell RNA-seq reveals cell type-specific transcriptional signatures at the maternal-foetal interface during pregnancy.

Sample Metadata Fields

Specimen part

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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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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