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accession-icon SRP156760
Combined Experimental and System-Level Analyses Reveal the Complex Regulatory Network of miR-124 during Human Neurogenesis [Timecourse RNA-Seq]
  • organism-icon Homo sapiens
  • sample-icon 910 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Non-coding RNAs regulate many biological processes including neurogenesis. The brain-enriched miR-124 is assigned as a key player of neuronal differentiation via its complex, but little understood, regulation of thousands of annotated targets. To systematically chart its regulatory functions, we used CRISPR/Cas9 gene editing to disrupt all six miR-124 alleles in human stem cells. Upon neuronal induction, miR-124-depleted cells underwent neurogenesis and became functional neurons, albeit with altered morphology and neurotransmitter specification. By RNA-induced-silencing-complex precipitation, we found that other miRNA species were upregulated in miR-124 depleted neurons. Furthermore, we identified 98 miR-124 targets of which some directly led to decreased viability. We performed advanced transcription-factor-network analysis and revealed indirect miR-124 effects on apoptosis and neuronal subtype differentiation. Our data emphasizes the need for combined experimental- and systems-level analyses to comprehensively disentangle and reveal miRNA functions, including their involvement in the neurogenesis of diverse neuronal cell types found in the human brain. Overall design: RNA profile for timecourse of neuronal Neurogenin-1 and 2-triggered differentiation from human iPSCs (wildtype and ?miR-124).

Publication Title

Combined Experimental and System-Level Analyses Reveal the Complex Regulatory Network of miR-124 during Human Neurogenesis.

Sample Metadata Fields

Subject

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accession-icon SRP156757
Combined Experimental and System-Level Analyses Reveal the Complex Regulatory Network of miR-124 during Human Neurogenesis [AGO2-RIP-Seq -miRNAs]
  • organism-icon Homo sapiens
  • sample-icon 93 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Non-coding RNAs regulate many biological processes including neurogenesis. The brain-enriched miR-124 is assigned as a key player of neuronal differentiation via its complex, but little understood, regulation of thousands of annotated targets. To systematically chart its regulatory functions, we used CRISPR/Cas9 gene editing to disrupt all six miR-124 alleles in human stem cells. Upon neuronal induction, miR-124-depleted cells underwent neurogenesis and became functional neurons, albeit with altered morphology and neurotransmitter specification. By RNA-induced-silencing-complex precipitation, we found that other miRNA species were upregulated in miR-124 depleted neurons. Furthermore, we identified 98 miR-124 targets of which some directly led to decreased viability. We performed advanced transcription-factor-network analysis and revealed indirect miR-124 effects on apoptosis and neuronal subtype differentiation. Our data emphasizes the need for combined experimental- and systems-level analyses to comprehensively disentangle and reveal miRNA functions, including their involvement in the neurogenesis of diverse neuronal cell types found in the human brain. Overall design: RNA interacting protein immunoprecipitation with AGO2 for miR-124 target enrichment from neuronal Neurogenin-1 and 2-triggered differentiation from human iPSCs (wildtype and ?miR-124) and subsequent sequencing.

Publication Title

Combined Experimental and System-Level Analyses Reveal the Complex Regulatory Network of miR-124 during Human Neurogenesis.

Sample Metadata Fields

Subject

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accession-icon GSE23695
Comparison of Expression profile between CD3-CD56dimCD16+ CD57+ and CD57neg NK cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Thirty to 60% of CD56dimCD16bright NK cells in healthy adults express CD57, which is not expressed on immature CD56bright NK cells or fetal and newborn NK cells. We hypothesized that CD57+ NK cells within the CD56dim mature NK cell subset are highly mature and might be terminally differentiated.

Publication Title

CD57 defines a functionally distinct population of mature NK cells in the human CD56dimCD16+ NK-cell subset.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE19147
CD3+ T-cells of B-cell chronic lymphocytic leukemia
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Analysis of T-cells isolated from CD3+ T-cells of patients with B-cell chronic lymphocytic leukemia (B-CLL). In contrast to other types of cancers, the non-malignant T-cell compartment of B CLL patients is expanded. Results provide insights into the role of T-cells in B-CLL.

Publication Title

Expanded CD8+ T cells of murine and human CLL are driven into a senescent KLRG1+ effector memory phenotype.

Sample Metadata Fields

Specimen part

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accession-icon GSE74780
Expression data from WT and Klrc1-/- CD8+ T cells
  • organism-icon Mus musculus
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

CD8+ T cells and NK cells protect from viral infections by killing virally-infected cells and secreting interferon-g. Several inhibitory receptors limit the magnitude and duration of these anti-viral responses.

Publication Title

The Inhibitory Receptor NKG2A Sustains Virus-Specific CD8⁺ T Cells in Response to a Lethal Poxvirus Infection.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP077926
Type-I-Interferons induce the decimation of antiviral B cells at the onset of chronic infection [RNA-seq]
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Abstract: Immune subversion represents a hallmark of persistent infection, but microbial suppression of B cell responses remains mechanistically ill-defined. Adoptive transfer experiments in a chronic viral infection model evidenced the rapid and profound decimation of B cells that responded to virus or to concomitantly administered protein. Decimation affected naïve and memory B cells and resulted from biased differentiation into short-lived antibody-secreting cells. It was driven by type I interferon (IFN-I) signaling to several cell types including dendritic cells, T cells and myeloid cells. Durable B cell responses were restored upon IFN-I receptor blockade or, partially, when depleting myeloid cells or key IFN-I-induced cytokines. B cell decimation represents a molecular mechanism of humoral immune subversion and reflects an unsustainable “all-in” response of B cells in IFN-I-driven inflammation. Overall design: We adoptively transferred naïve KL25HL cells (LCMV-WE-GP-specific B cells) to aIFNAR- or isotype control-treated syngeneic recipient mice, followed by rLCMV-Cl13/WE-GP. On day 3 of infection, spleen were harvested and proliferated KL25HL B cell progeny (CD45.1+B220+CFSElo) were FACS-sorted and total RNA was processed for RNAseq. n=4

Publication Title

Interferon-driven deletion of antiviral B cells at the onset of chronic infection.

Sample Metadata Fields

Age, Specimen part, Cell line, Subject

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accession-icon GSE68761
Analyzing synergistic and non-synergistic interactions in signalling pathways using Boolean Nested Effect Models
  • organism-icon Homo sapiens
  • sample-icon 74 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Understanding the structure and interplay of cellular signalling pathways is one of the great challenges in molecular biology. Boolean Networks can infer signalling networks from observations of protein activation. In situations where it is difficult to assess protein activation directly, Nested Effect Models are an alternative. They derive the network structure indirectly from downstream effects of pathway perturbations. To date, Nested Effect Models cannot resolve signalling details like the formation of signalling complexes or the activation of proteins by multiple alternative input signals. Here we introduce Boolean Nested Effect Models (B-NEM). B-NEMs combine the use of downstream effects with the higher resolution of signalling pathway structures in Boolean Networks. We show that B-NEMs accurately reconstruct signal flows in simulated data. Using B-NEM we then resolve BCR signalling via PI3K and TAK1 kinases in BL2 lymphoma cell lines.

Publication Title

Analyzing synergistic and non-synergistic interactions in signalling pathways using Boolean Nested Effect Models.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon SRP047000
Genome-wide analysis of whole transcriptome in E(z) temperature sensitive cells [RNA-Seq]
  • organism-icon Drosophila melanogaster
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

PcG protein complex PRC2 is a methyltransferase specific for histone H3 lysine27, and H3K27me3 is essential for stable transcription silencing. Less well known but quantitatively much more important is the genome-wide role of PRC2 that dimethylates ~70% of total H3K27. Here we show that H3K27me2 occurs in inverse proportion to transcriptional activity in genes and intergenic regions and its loss results in global transcriptional derepression proportionally greatest in previously silent or weakly transcribed regions. H3K27me2 levels are controlled by opposing roaming activities of PRC2 and the H3K27 demethylase dUTX. Unexpectedly, we find an equally pervasive distribution of histone H2A ubiquitylated at lysine 118 (H2AK118ub), attributed to the RING1 subunit of PRC1-type complexes. Overall design: Examination of global changes in transcription genome-wide when E(z) is inactivated by monitoring total RNA from E(z) temperature-sensitive cells at 25°C and 31°C in duplicate

Publication Title

Genome-wide activities of Polycomb complexes control pervasive transcription.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE25635
Histone acetylation dependent microarray analysis uncovers a role for Tip60 HAT activity in nervous system function and general metabolism
  • organism-icon Drosophila melanogaster
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Drosophila Genome 2.0 Array (drosophila2)

Description

Tip60 is a key histone acetyltransferase (HAT) enzyme that plays a central role in diverse biological processes critical for general cell function, however the chromatin-mediated cell-type specific developmental pathways that are dependent exclusively upon the HAT activity of Tip60 remain to be explored. Here, we investigate the role of Tip60 HAT activity in transcriptional control during multicellular development, in vivo by examining genome-wide changes in gene expression in a Drosophila model system specifically depleted for endogenous dTip60 HAT function. We show that amino acid residue E431 in the catalytic HAT domain of dTip60 is critical for the acetylation of endogenous histone H4 in our fly model in vivo, and demonstrate that dTip60 HAT activity is essential for multicellular development. Moreover, our results uncover a novel role for Tip60 HAT activity in controlling neuronal specific gene expression profiles essential for nervous system function as well as a central regulatory role for Tip60 HAT function in general metabolism.

Publication Title

Microarray analysis uncovers a role for Tip60 in nervous system function and general metabolism.

Sample Metadata Fields

Specimen part

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accession-icon GSE69871
Expression data from lipopolysaccharide treated and untreated equine alveolar macrophages and basal comparison with peritoneal macrophages
  • organism-icon Equus caballus
  • sample-icon 13 Downloadable Samples
  • Technology Badge Icon Equus caballus Gene 1.0 ST Array (equgene10st)

Description

Alveolar macrophages are the first line of defense against pathogens in the lungs of all mammalian species and therefore may constitute an appropriate therapeutic target cell in the treatment and prevention of opportunistic airway infections. Analysis of alveolar macrophages from several species has revealed a unique cellular phenotype and transcriptome, presumably linked to their distinct airway environment and function in host defense. The current study extends these findings to the horse.

Publication Title

Comparative transcriptome analysis of equine alveolar macrophages.

Sample Metadata Fields

Treatment

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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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