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accession-icon E-TABM-21
Transcription profiling by array of Arabidopsis mutant for constans or flowering locus T after exposure to different photoperiods
  • organism-icon Arabidopsis thaliana
  • sample-icon 18 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Response to photoperiod in Arabidopsis wildtype, co, and ft mutant plants.

Publication Title

Integration of spatial and temporal information during floral induction in Arabidopsis.

Sample Metadata Fields

Specimen part

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accession-icon GSE27163
The Regulatory Specificity of a Homeodomain Protein is Determined by Unique DNA-Binding Sequences
  • organism-icon Drosophila melanogaster
  • sample-icon 11 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

Homeodomain (HD) proteins comprise a large family of evolutionarily conserved transcription factors (TFs) having diverse developmental functions, yet they paradoxically recognize very similar DNA sequences. To investigate how HDs control cell-specific gene expression patterns, we determined the DNA binding specificities of a broad range of HDs critical for Drosophila embryonic mesoderm development. These studies revealed particular sequences that are bound by one HD and not by others. Such HD-preferred binding sites are overrepresented in the noncoding regions of genes that are regulated by the corresponding HD. Moreover, we show at single-cell resolution in intact embryos that the HD Slouch (Slou) controls myoblast gene expression through unique DNA sequences that are preferentially bound by Slou. These findings demonstrate that the sequence of a HD-binding site dictates which HD family member binds to and regulates a particular enhancer. This represents a novel mechanism for how cell type-specific TFs induce the distinct genetic programs of individual embryonic cells.

Publication Title

Molecular mechanism underlying the regulatory specificity of a Drosophila homeodomain protein that specifies myoblast identity.

Sample Metadata Fields

Specimen part

View Samples
accession-icon GSE17941
A Transcriptional Signature and Common Gene Networks Link Cancer with Metabolic Syndrome and Auto-immune Diseases
  • organism-icon Homo sapiens
  • sample-icon 49 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

Epidemiological studies have revealed concurrence of specific cancers with other disease states such as metabolic syndrome, inflammatory disease and autoimmune disease. Patients with these chronic conditions have a higher incidence of various cancers, more aggressive tumors, and a higher mortality rate. It has been proposed that obesity, inflammation and chronic disease should be correlated with cancer at the molecular level, but common gene signatures or networks have yet to be described. Here, we identify genes regulated during the process of cellular transformation in both a breast epithelial cell line and a set of isogenic fibroblastic cell lines.

Publication Title

A transcriptional signature and common gene networks link cancer with lipid metabolism and diverse human diseases.

Sample Metadata Fields

Cell line, Time

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accession-icon SRP099689
Genome-wide analysis of transcription, H2A.Z, nucleosomes and HSF1 dynamics in response to temperature increase in Arabidopsis thaliana [RNA-Seq II]
  • organism-icon Arabidopsis thaliana
  • sample-icon 14 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Plants are sessile organisms and therefore must sense and respond to changes of their surrounding conditions such as ambient temperature, which vary diurnally and seasonally. It is not yet clear how plants sense temperature and integrate this information into their development. We have previously shown that H2A.Z-nucleosomes are evicted in response to warmer temperatures. It is not clear however, whether the link between transcriptional responsiveness and changes in H2A.Z binding in context of temperature shifts is a global trend that can be seen throughout the genome, or the phenomenon is specific to a specialised set of temperature-responsive genes. In addition to the role of H2A.Z-nucleosome dynamics in the transcriptional response to temperature, it was shown that genes strongly misregulated in the h2a.z mutant are enriched for gene categories involved in response to multiple environmental cues. This suggests that H2A.Z could be implicated in the transcriptional response to various environmental inputs, raising the question: What brings the specificity of H2A.Z dynamics in response to temperature? To address this question we have profiled H2A.Z-nucleosome occupancy genome wide (using ChIP-seq) during a time course after temperature variation and compared its dynamics to transcriptional changes. We identified a fast, targeted and transient eviction of H2A.Z associated with transcriptional activation in response to temperature for a few hundreds genes. This eviction is associated with a reduction of the stability of the nucleosome. Moreover the genes with a fast H2A.Z eviction were strongly enriched in heat shock elements in their promoter and we observed a strong association between HSF1 binding and H2AZ eviction at warm temperature. These results highlight the importance of the interplay between transcription factors and chromatin to allow a controlled and dynamics response to temperature. Overall design: RNA-seq were generated in duplicate for seedlings shifted to warm temperature

Publication Title

Transcriptional Regulation of the Ambient Temperature Response by H2A.Z Nucleosomes and HSF1 Transcription Factors in Arabidopsis.

Sample Metadata Fields

Subject

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accession-icon SRP115918
Genome-wide analysis of transcription, H2A.Z, nucleosomes and HSF1 dynamics in response to temperature increase in Arabidopsis thaliana [RNA-Seq III]
  • organism-icon Arabidopsis thaliana
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 1000

Description

Plants are sessile organisms and therefore must sense and respond to changes of their surrounding conditions such as ambient temperature, which vary diurnally and seasonally. It is not yet clear how plants sense temperature and integrate this information into their development. We have previously shown that H2A.Z-nucleosomes are evicted in response to warmer temperatures. It is not clear however, whether the link between transcriptional responsiveness and changes in H2A.Z binding in context of temperature shifts is a global trend that can be seen throughout the genome, or the phenomenon is specific to a specialised set of temperature-responsive genes. In addition to the role of H2A.Z-nucleosome dynamics in the transcriptional response to temperature, it was shown that genes strongly misregulated in the h2a.z mutant are enriched for gene categories involved in response to multiple environmental cues. This suggests that H2A.Z could be implicated in the transcriptional response to various environmental inputs, raising the question: What brings the specificity of H2A.Z dynamics in response to temperature? To address this question we have profiled H2A.Z-nucleosome occupancy genome wide (using ChIP-seq) during a time course after temperature variation and compared its dynamics to transcriptional changes. We identified a fast, targeted and transient eviction of H2A.Z associated with transcriptional activation in response to temperature for a few hundreds genes. This eviction is associated with a reduction of the stability of the nucleosome. Moreover the genes with a fast H2A.Z eviction were strongly enriched in heat shock elements in their promoter and we observed a strong association between HSF1 binding and H2AZ eviction at warm temperature. These results highlight the importance of the interplay between transcription factors and chromatin to allow a controlled and dynamics response to temperature. Overall design: RNA-seq were generated in duplicate for seedlings shifted to warm temperature

Publication Title

Transcriptional Regulation of the Ambient Temperature Response by H2A.Z Nucleosomes and HSF1 Transcription Factors in Arabidopsis.

Sample Metadata Fields

Subject

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accession-icon GSE16712
Gene Expression Profiles of Germinal Center B Cells
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

We report the gene expression profiles of germinal center B cells obtained by FACS analyses of normal human lymph nodes.

Publication Title

Identification and functional relevance of de novo DNA methylation in cancerous B-cell populations.

Sample Metadata Fields

Specimen part

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accession-icon GSE48836
Transcript profiling of ERF115 transgenic Arabidopsis thaliana
  • organism-icon Arabidopsis thaliana
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

This experiment was set up in order to identify the (direct) transcriptional targets of the Ethylene Response Factor 115 (ERF115) transcription factor. Because ERF115 expression occurs in quiescent center (QC) cells and strong effects on the QC cells were observed in ERF115 overexpression plants, root tips were harvested for transcript profiling in order to focus on root meristem and QC specific transcriptional targets.

Publication Title

ERF115 controls root quiescent center cell division and stem cell replenishment.

Sample Metadata Fields

Age, Specimen part

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accession-icon GSE44867
Identification of targets regulated by HSF1 in response to HSP90 inhibitors
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

A375 cells with inducible knockdown HSF1 with and without HSP90 inhibitor treatment

Publication Title

Targeting HSF1 sensitizes cancer cells to HSP90 inhibition.

Sample Metadata Fields

Cell line, Treatment

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accession-icon SRP077255
Vav proteins are key regulators of Card9 signaling for innate antifungal immunity
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Fungal infections are major causes of morbidity and mortality, especially in immunocompromised individuals. The innate immune system senses fungal pathogens through a family of Syk-coupled C-type lectin receptors (CLRs), which signal through the conserved immune adapter Card9. Although Card9 complexes are essential for antifungal defense in humans and mice, the mechanisms that couple CLR-proximal events to Card9 control are not well defined. Here, using a proteomic approach, we identified Vav proteins as key activators of the Card9 pathway. Vav1, Vav2 and Vav3 cooperate downstream of Dectin-1, Dectin-2 and Mincle to selectively engage Card9 for NF-?B control and proinflammatory gene transcription but are not involved in MAPK activation. Although Vav family members show functional redundancy, Vav1/2/3 triple-deficient cells are severely impaired for NF-?B and cytokine responses upon stimulation with CLR agonists or hyphae, and Vav1/2/3-/- mice phenocopy Card9-/- animals with extreme susceptibility to fungi and rapid mortality upon Candida albicans infection. In this context, Vav3 is the single most important Vav in mice, and a polymorphism in human VAV3 is associated with susceptibility to candidemia in patients. Our results reveal a molecular mechanism for CLR-mediated Card9 regulation that controls innate immunity to fungal infections. Overall design: RNA profiles of unstimulated or Curdlan-stimulated bone marrow-derived dendritic cells (BMDCs) from wild type (WT) and Vav1/2/3-/- (VAV KO) mice were generated by deep sequencing, in triplicate, using Illumina HiSeq 2000.

Publication Title

Vav Proteins Are Key Regulators of Card9 Signaling for Innate Antifungal Immunity.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP068706
RNA-sequencing of single whole cells and nuclei from mouse dentate granule cells
  • organism-icon Mus musculus
  • sample-icon 201 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Single-cell sequencing methods have emerged as powerful tools for identification of heterogeneous cell types within defined brain regions. Application of single-cell techniques to study the transcriptome of activated neurons can offer insight into molecular dynamics associated with differential neuronal responses to a given experience. Through evaluation of common whole-cell and single-nuclei RNA-sequencing (snRNA-seq) methods, here we show that snRNA-seq faithfully re-capitulates transcriptional patterns associated with experience-driven induction of activity, including immediate early genes (IEGs) such as Fos, Arc, and Egr1. SnRNA-seq of mouse dentate granule cells reveals large-scale changes in the activated neuronal transcriptome after brief novel environment exposure, including induction of MAPK pathway genes . In addition, we observe a continuum of activation states, revealing a pseudo-temporal pattern of activation from gene expression alone. In summary, snRNA-seq of activated neurons enables the examination of gene expression beyond IEGs,allowing for novel insights into neuronal activation patterns in vivo. Overall design: Examination of 1) 82 whole-cell (WC) dentate granule cells from a PTZ- or saline-treated mouse, and 2) 23 single-nuclei (SN) from dentate granule cells of a homecage (HC) mouse or 96 nuclei from a mouse exposed to a novel environment (NE)

Publication Title

Nuclear RNA-seq of single neurons reveals molecular signatures of activation.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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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