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accession-icon GSE61396
Identification of candidate rhinovirus C (RV-C) receptors by gene expression analysis
  • organism-icon Homo sapiens
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Members of rhinovirus C (RV-C) species are more likely to cause wheezing illnesses and asthma exacerbations compared to other rhinoviruses. The cellular receptor for these viruses was heretofore unknown. We measured gene expression (Human Gene 1.0 ST Array, Affymetrix) in two series of experiments involving cells that were either susceptible or not susceptible to RV-C infection. In one experimental series, susceptible cells included whole sinus mucosal tissue specimens (n = 5), epithelial cell suspension from sinus tissue, and nasal epithelium obtained via brushing, while non-susceptible cells included monolayers of primary undifferentiated epithelial cells and transformed cell lines (n = 5). In a second experimental series, we compared three pairs of undifferentiated and fully differentiated (ALI) sinus epithelial cell cultures. We identified a total of 12 genes upregulated in RV-C susceptible cells (represented by 14 probe sets) encoding proteins localized to plasma membrane, and/or with predicted or functionally demonstrated receptor activity, including members of the Human MHC class II, stomatin, guanine nucleotide-binding, type I cytokine and atypical chemokine receptor and cadherin protein families.

Publication Title

Cadherin-related family member 3, a childhood asthma susceptibility gene product, mediates rhinovirus C binding and replication.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE90548
Expression data from U2OS-ER-alpha cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Understanding the mechanism of SRC-1 dependent and independent E2 signaling in bone will provide a better understanding of the biology underlying osteoporosis.

Publication Title

Steroid receptor coactivator-1 can regulate osteoblastogenesis independently of estrogen.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon SRP143395
Leveraging chromatin accessibility for transcriptional regulatory network inference in T Helper 17 Cells [RNA-seq]
  • organism-icon Mus musculus
  • sample-icon 134 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500, Illumina Genome Analyzer IIx, Illumina HiSeq 2000

Description

Transcriptional regulatory networks (TRNs) provide insight into cellular behavior by describing interactions between transcription factors (TFs) and their gene targets. The Assay for Transposase Accessible Chromatin (ATAC)-seq, coupled with transcription-factor motif analysis, provides indirect evidence of chromatin binding for hundreds of TFs genome-wide. Here, we propose methods for TRN inference in a mammalian setting, using ATAC-seq data to influence gene expression modeling.   We rigorously test our methods in the context of T Helper Cell Type  17 (Th17) differentiation, generating new ATAC-seq data to complement existing Th17 genomic resources (plentiful gene expression data, TF knock-outs and ChIP-seq experiments).  In this resource-rich mammalian setting our extensive benchmarking provides quantitative, genome-scale evaluation of TRN inference combining ATAC-seq and RNA-seq data. We refine and extend our previous Th17 TRN, using our new TRN inference methods to integrate all Th17 data (gene expression, ATAC-seq, TF KO, ChIP-seq). We highlight new roles for individual TFs and groups of TFs (“TF-TF modules”) in Th17 gene regulation.  Given the popularity of ATAC-seq (a widely adapted protocol with high resolution and low sample input requirements),  we anticipate that application of our methods will improve TRN inference in new mammalian systems and be of particular use for rare, uncharacterized cell types. Overall design: Gene expression (RNA-seq) of naive and Th17- and Th0-polarized CD4 T Cells

Publication Title

Leveraging chromatin accessibility for transcriptional regulatory network inference in T Helper 17 Cells.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE92994
Critical role of the transcription factors IRF1 and BATF in preparing the chromatin landscape during Type 1 regulatory cell differentiation
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix HT Mouse Genome 430A Array (htmg430a)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Critical role of IRF1 and BATF in forming chromatin landscape during type 1 regulatory cell differentiation.

Sample Metadata Fields

Specimen part, Treatment, Time

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accession-icon SRP095844
Critical role of the transcription factors IRF1 and BATF in preparing the chromatin landscape during Type 1 regulatory cell differentiation [RNA-seq]
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Type 1 regulatory T (Tr1) cells are induced by interleukin-27 (IL-27) and have critical roles in the control of autoimmunity and resolution of inflammation. Here, we show that the transcription factors IRF1 and BATF are induced early during treatment with IL-27 and are required for the differentiation and function of Tr1 cells in vitro and in vivo. Epigenetic and transcriptional analyses reveal that both transcription factors influence chromatin accessibility and expression of genes required for Tr1 cell function. IRF1 and BATF deficiencies uniquely alter the chromatin landscape, suggesting that these factors serve a pioneering function during Tr1 cell differentiation. Overall design: Transcriptinal analysis of IL27-induced of WT, Irf1 KO, and Batf KO cells

Publication Title

Critical role of IRF1 and BATF in forming chromatin landscape during type 1 regulatory cell differentiation.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE92940
Expression data for wildtype CD4+ T cells cells differentiated in Tr1 conditions for 2 hours
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix HT Mouse Genome 430A Array (htmg430a)

Description

Type 1 regulatory T (Tr1) cells are induced by the interleukin-27 (IL-27) and have critical roles in the control of autoimmunity and resolution of inflammation. Here, we show that the transcription factors IRF1 and BATF are induced early during treatment with IL-27 and are required for the differentiation and function of Tr1 cells in vitro and in vivo . Epigenetic and transcriptional analyses reveal that both transcription factors influence chromatin accessibility and expression of genes required for Tr1 cell function. IRF1 and BATF deficiencies uniquely alter the chromatin landscape, suggesting that these factors serve a pioneering function during Tr1 cell differentiation.

Publication Title

Critical role of IRF1 and BATF in forming chromatin landscape during type 1 regulatory cell differentiation.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE10014
Genomic analysis of axon pruning in Drosophila mushroom body neurons
  • organism-icon Drosophila melanogaster
  • sample-icon 25 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome Array (drosgenome1)

Description

Genomic analysis of axon pruning in Drosophila mushroom body neurons identifies the RNA-binding protein Boule as a negative regulator

Publication Title

Genomic analysis of Drosophila neuronal remodeling: a role for the RNA-binding protein Boule as a negative regulator of axon pruning.

Sample Metadata Fields

Age

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accession-icon GSE10012
Timecourse: MB neurons at the onset and early steps of axon pruning
  • organism-icon Drosophila melanogaster
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome Array (drosgenome1)

Description

Drosophila mushroom body (MB) neurons undergo axon pruning during metamorphosis through a process of localized degeneration of specific axon branches. Developmental axon degeneration is initiated at the onset of metamorphosis by the pre-pupal rise in the steroid hormone ecdysone. This study identifies genes that alter their expression in MB neurons at the onset and early steps of axon pruning.

Publication Title

Genomic analysis of Drosophila neuronal remodeling: a role for the RNA-binding protein Boule as a negative regulator of axon pruning.

Sample Metadata Fields

Age

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accession-icon GSE10013
EcR-dependent gene expression in MB neurons at the onset of axon pruning
  • organism-icon Drosophila melanogaster
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome Array (drosgenome1)

Description

This study identifies genes that show EcR-dependent gene expression in MB neurons at the onset of axon pruning.

Publication Title

Genomic analysis of Drosophila neuronal remodeling: a role for the RNA-binding protein Boule as a negative regulator of axon pruning.

Sample Metadata Fields

Age

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accession-icon GSE63290
Temporal analysis of RNA turnover in Interferon Gamma treated bone marrow-derived macrophages
  • organism-icon Mus musculus
  • sample-icon 47 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Interferon gamma treatment of macrophages results in hundreds if not thousands of alterations in gene expression and an antiviral state being established in these cells. Little is known about relationship between transcript synthesis, abundance and decay in macrophages during the first hours after interferon gamma treatment and how these factors influence the antiviral cellular phenotype.

Publication Title

An Interferon Regulated MicroRNA Provides Broad Cell-Intrinsic Antiviral Immunity through Multihit Host-Directed Targeting of the Sterol Pathway.

Sample Metadata Fields

Age, Specimen part

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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)

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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