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accession-icon GSE25678
Expression Profiling of Erythroid Progenitors After MYB shRNA Knockdown
  • organism-icon Homo sapiens
  • sample-icon 7 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

MYB plays a critical role as a regulator of erythropoieisis. We have shown that MYB silences epsilon and gamma-globin expression in erythroid progenitors. We here examine erythroid cells at the basophilic erythroblast stage of differentiation with MYB shRNA or control lentiviral transduction prior to differentiation.

Publication Title

MicroRNA-15a and -16-1 act via MYB to elevate fetal hemoglobin expression in human trisomy 13.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon SRP006674
ChipSeq of FoxP3 bound regions and mRNAseq data of human Treg and CD4+ Th cells
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge IconIlluminaGenomeAnalyzerII

Description

Regulatory T-cells (Treg) play an essential role in the negative regulation of immune answers by developing an attenuated cytokine response that allows suppressing proliferation and effector function of T-cells (CD4+ Th). The transcription factor FoxP3 is responsible for the regulation of many genes involved in the Treg gene signature. Its ablation leads to severe immune deficiencies in human and mice. Recent developments in sequencing technologies have revolutionized the possibilities to gain insights into transcription factor binding by ChiP-Seq and into transcriptome analysis by mRNA-Seq. We combine FoxP3 ChiP-Seq and mRNA-Seq in order to understand the transcriptional differences between primary human CD4+ T helper and regulatory T-cells, as well as to study the role of FoxP3 in generating those differences. We show, that mRNA-Seq allows analyzing the transcriptomal landscape of T-cells including the expression of specific splice variants at much greater depth than previous approaches, whereas 50% of transcriptional regulation events have not been described before by using diverse array technologies.

Publication Title

Next-generation insights into regulatory T cells: expression profiling and FoxP3 occupancy in Human.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE13285
Human Fetal Hemoglobin Expression is Regulated by the Developmental Stage-Specific Repressor BCL11A
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302), Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Human fetal hemoglobin expression is regulated by the developmental stage-specific repressor BCL11A.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE13284
Human CD34-derived erythroid progenitors treated with BCL11A siRNAs
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Differences in the amount of fetal hemoglobin (HbF) that persists into adulthood affect the severity of sickle cell disease and the beta-thalassemia syndromes. Genetic association studies have identified sequence variants in the gene BCL11A that influence HbF levels. Here we examine BCL11A as a potential regulator of HbF expression. The high HbF BCL11A genotype is associated with reduced BCL11A expression. Moreover, abundant expression of full-length forms of BCL11A is developmentally restricted to adult erythroid cells. Down-regulation of BCL11A expression in primary adult erythroid cells leads to robust HbF expression. Consistent with a direct role of BCL11A in globin gene regulation, we find that BCL11A occupies several discrete sites in the beta-globin gene cluster. BCL11A emerges as a therapeutic target for reactivation of HbF in beta-hemoglobin disorders.

Publication Title

Human fetal hemoglobin expression is regulated by the developmental stage-specific repressor BCL11A.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE13283
Mouse Erythroleukemia (MEL) Cells Expressing Tagged Versions of BCL11A
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302), Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Differences in the amount of fetal hemoglobin (HbF) that persists into adulthood affect the severity of sickle cell disease and the beta-thalassemia syndromes. Genetic association studies have identified sequence variants in the gene BCL11A that influence HbF levels. Here we examine BCL11A as a potential regulator of HbF expression. The high HbF BCL11A genotype is associated with reduced BCL11A expression. Moreover, abundant expression of full-length forms of BCL11A is developmentally restricted to adult erythroid cells. Down-regulation of BCL11A expression in primary adult erythroid cells leads to robust HbF expression. Consistent with a direct role of BCL11A in globin gene regulation, we find that BCL11A occupies several discrete sites in the beta-globin gene cluster. BCL11A emerges as a therapeutic target for reactivation of HbF in beta-hemoglobin disorders.

Publication Title

Human fetal hemoglobin expression is regulated by the developmental stage-specific repressor BCL11A.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP073509
Quantitative Analysis of cortical transcriptomes through Next Generation Sequencing from wild-type mice, wild-type mice treated with IL1b, IL-1R8-/- mice and IL-1R8-/- mice treated with IL1b antagonist Anakinra
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Quantitative Analysis of cortical transcriptomes through Next Generation Sequencing (RNA-Seq) from wild-type mice, wild-type mice treated with IL1b (200 ng/mouse, 14h), IL-1R8-/- mice and IL-1R8-/- mice treated with IL1b antagonist Anakinra (25 mg/kg per day for 3 consecutive days, i.p. administration). mRNA profiles of cortical tissue from adult wild-type mice, wild-type mice treated with IL1b (200 ng/kg, 14h), IL-1R8-/- mice (Garlanda et al., 2004), and IL-1R8-/- mice treated with Anakinra (25 mg/kg per day for 3 consecutive days, i.p. administration) were generated by next-generation sequencing (RNA-seq) using Illumina HiSeq 2500 apparatus in paired-end configuration (2x125bp). Each condition was assessed in triplicate (12 mRNA-seq libraries) and, to reduce biological variability, each mRNA library was generated from pooled total RNA isolated from cortical tissue of 3 individual mice. In total, 9 mice per condition were used. Libraries were stranded and multiplexed. To increase sequencing depth, libraries were sequenced in two different lanes. All the libraries were loaded in each of the two lanes. Quality control of the raw data was performed with FastQC (http://www.bioinformatics.babraham.ac.uk/projects/fastqc/). Libraries were trimmed for adapter removal using Trimmomatic (Bolger et al., 2014) and mapped to reference genome (Ensembl GRCm38) using TopHat2 (Kim et al., 2013) and Bowtie2 (Langmead et al., 2009). Library sizes of primary mapped reads were between 70 and 96 million reads. Samtools was used to manipulate BAM files (Li et al., 2009). For calling of differentially expressed genes (DEG), mapped reads were counted with HTSeq v0.6.1 (Anders et al., 2014) and count tables were analysed using DeSeq2 v1.10.1 R-package (Love et al., 2014) with a design of one factor with four levels (“wild-type”, “wild-type + IL1?”, “IL-1R8-/-”, “IL-1R8-/- + Anakinra"), and differences between groups were tested using contrasts for wild-type + IL1b versus wild-type; IL-1R8-/- versus wild-type; IL-1R8-/- + Kineret versus wild-type. For consideration of differentially regulated genes between conditions, we used adjusted p-value < 0.1 or adjusted p-value < 0.05 as indicated in the manuscript. Overall design: mRNA profiles in adult mouse cerebral cortex of wild type (WT), WT mice treated with IL1b (200 ng/kg, 14h), IL-1R8-/- mice, and IL-1R8-/- mice treated with IL1b antagonist Anakinra (25 mg/kg per day for 3 consecutive days, i.p. administration) were generated by deep sequencing, in triplicate, using Illumina HiSeq 2500. Each sample was prepared by pooling cortical tissue from 3 idenpendent mice.

Publication Title

Lack of IL-1R8 in neurons causes hyperactivation of IL-1 receptor pathway and induces MECP2-dependent synaptic defects.

Sample Metadata Fields

Treatment, Subject

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accession-icon GSE12945
Expression data from colorectal cancers
  • organism-icon Homo sapiens
  • sample-icon 62 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Wiskott-Aldrich syndrome (WAS) predisposes patients to leukemia and lymphoma. WAS is caused by mutations in the protein WASP which impair its interaction with the WIPF1 protein. Here, we aim to identify a module of WIPF1-coexpressed genes and to assess its use as a prognostic signature for colorectal cancer, glioma, and breast cancer patients. Two public colorectal cancer microarray data sets were used for discovery and validation of the WIPF1 co-expression module. Based on expression of the WIPF1 signature, we classified more than 400 additional tumors with microarray data from our own experiments or from publicly available data sets according to their WIPF1 signature expression. This allowed us to separate patient populations for colorectal cancers, breast cancers, and gliomas for which clinical characteristics like survival times and times to relapse were analyzed. Groups of colorectal cancer, breast cancer, and glioma patients with low expression of the WIPF1 co-expression module generally had a favorable prognosis. In addition, the majority of WIPF1 signature genes are individually correlated with disease outcome in different studies. Literature gene network analysis revealed that among WIPF1 co-expressed genes known direct transcriptional targets of c-myc, ESR1 and p53 are enriched. The mean expression profile of WIPF1 signature genes is correlated with the profile of a proliferation signature. The WIPF1 signature is the first microarray-based prognostic expression signature primarily developed for colorectal cancer that is instrumental in other tumor types: low expression of the WIPF1 module is associated with better prognosis.

Publication Title

An expression module of WIPF1-coexpressed genes identifies patients with favorable prognosis in three tumor types.

Sample Metadata Fields

Sex, Age

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accession-icon GSE53598
Effects of mixed exercise training on gene expression in human skeletal muscle
  • organism-icon Homo sapiens
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

Background: Exercise has a positive effect on overall health. This study was performed to get an overview of the effects of mixed exercise training on skeletal muscl

Publication Title

Identification of human exercise-induced myokines using secretome analysis.

Sample Metadata Fields

Sex, Age, Race

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accession-icon GSE6281
Gene expression time-course in the human skin during elicitation of allergic contact dermatitis
  • organism-icon Homo sapiens
  • sample-icon 33 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Genes involved in the inflammatory response resulting in allergic contact dermatitis (ACD) are only partly known. In this study, we introduce the use of high density oligonucleotide arrays for gene expression profiling in human skin during the elicitation of ACD. Skin biopsies from normal and nickel-exposed skin were obtained from 7 nickel-allergic patients and 5 non-allergic controls at four different time points during elicitation of eczema: 0h, 7h, 48h and 96h. Each gene expression profile was analysed by hybridization to high density oligonucletide arrays.

Publication Title

Gene expression time course in the human skin during elicitation of allergic contact dermatitis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE66521
Transcriptomic response of Saccharomyces cerevisiae in mixed-culture wine fermentation with Hanseniaspora guilliermondii
  • organism-icon Saccharomyces cerevisiae
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Yeast Genome 2.0 Array (yeast2)

Description

Natural grape-juice fermentations involve the sequential development of different yeast species which strongly influence the chemical and sensorial traits of the final product. In the present study,we aimed to examine the transcriptomic response of Saccharomyces cerevisiae to the presence of Hanseniaspora guilliermondii wine fermentation.

Publication Title

Genomic expression program of Saccharomyces cerevisiae along a mixed-culture wine fermentation with Hanseniaspora guilliermondii.

Sample Metadata Fields

Treatment, Time

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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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