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accession-icon GSE23579
Gene expression profilings of fetal human and mouse cerebral cortex exposed to alcohol
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

A dataset for coordinated transcriptome analysis of the effect of ethanol on human embryonic cerebral slices in vitro and on the mouse embryonic cerebral cortex in a in vivo model.

Publication Title

Combined transcriptome analysis of fetal human and mouse cerebral cortex exposed to alcohol.

Sample Metadata Fields

Time

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accession-icon GSE7047
Transcriptome profile of Trypanosoma cruzi-infected cells
  • organism-icon Homo sapiens, Trypanosoma cruzi
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

As Trypanosoma cruzi, the etiological agent of Chagas disease, multiplies in the cytoplasm of nucleated host cells, infection with this parasite is highly likely to affect host cells. We performed an exhaustive transcriptome analysis of T. cruzi-infected HeLa cells using an oligonucleotide microarray containing probes for greater than 47,000 human gene transcripts. In comparison with uninfected cells, those infected with T. cruzi showed greater than threefold up-regulation of 41 genes and greater than threefold down-regulation of 23 genes. Real-time reverse transcriptase-polymerase chain reaction (RT-PCR) of selected, differentially expressed genes confirmed the microarray data. Many of these up- and down-regulated genes were related to cellular proliferation, including seven up-regulated genes encoding proliferation inhibitors and three down-regulated genes encoding proliferation promoters, strongly suggesting that T. cruzi infection inhibits host cell proliferation, which may allow more time for T. cruzi to replicate and produce its intracellular nests. These findings provide new insight into the molecular mechanisms by which intracellular T. cruzi infection influences the host cell, leading to pathogenicity.

Publication Title

Transcriptome profile of Trypanosoma cruzi-infected cells: simultaneous up- and down-regulation of proliferation inhibitors and promoters.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP049553
Self-organization of polarized cerebellar plate neuroepithelium in three-dimensional culture of human pluripotent stem cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq1500

Description

During cerebellar development, the main portion of the cerebellar plate neuroepithelium (NE) gives birth to Purkinje cells and interneurons, while the germinal zone at its dorsal edge, called the rhombic lip (RL), generates granule cells and cerebellar nuclei neurons. However, it remains elusive how these components work together to generate the intricate structure of the cerebellar anlage. In this study, we found that a polarized cerebellar anlage structure self-organizes in three-dimensional (3D) human ES cell (hESC) culture. This NE is capable of differentiating into electrophysiologically functional Purkinje cells. The addition of FGF19 promotes spontaneous generation of dorsoventrally polarized NE structures containing cerebellar and basal plates. Furthermore, further addition of SDF1 promoted the generation of stratified cerebellar plate NE with RL-like germinal zones self-forming at the edge. Thus, hESC-derived cerebellar progenitors exhibit substantial self-organizing potential for generating a polarized structure reminiscent of the early human cerebellar anlage at the first trimester. Overall design: Examination of mRNA profile in two different treated human ES cells .

Publication Title

Self-organization of polarized cerebellar tissue in 3D culture of human pluripotent stem cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE30309
Gene expression changes in response to the overexpression of the Arabidopsis RKD4 gene
  • organism-icon Arabidopsis thaliana
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

The Arabidopsis RWP-RK protein RKD4 is expressed specifically in early embryogenesis and triggers embryonic cell division sequences. We used Affymetrix ATH1 microarrays to analyze the pattern of gene expression changes in response to induced ectopic expression of RKD4 in post-embryonic organs.

Publication Title

The Arabidopsis RWP-RK protein RKD4 triggers gene expression and pattern formation in early embryogenesis.

Sample Metadata Fields

Specimen part, Disease

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accession-icon SRP140447
Transcriptome analysis of lung epithelial cells and lung fibroblasts from various developmental stages (E18.5, P0.5, P2, P7, P28, and P56)
  • organism-icon Mus musculus
  • sample-icon 21 Downloadable Samples
  • Technology Badge IconIon Torrent Proton

Description

In the alveoli, lung fibroblasts are in close contact with alveolar epithelial cells type 2, and are considered to support alveolar epithelial cells, forming an alveolar stem cell niche. However, what fibroblast-to-epithelial cell interactions occur during the alveolar maturation stage remains unclear. To understand the lung fibroblast-to-epithelial cell interactions, we performed time-course 3´SAGE-seq analysis of lung epithelial cells and fibroblasts. Overall design: Lung epithelial cells and lung fibroblasts from various developmental stages (E18.5, P0.5, P2, P7, P28, and P56) were purified by cell sorting. The time series transcriptome of the epithelial cells and fibroblasts was generated by 3'SAGE-seq using Ion Proton sequencer.

Publication Title

Mesenchymal-Epithelial Interactome Analysis Reveals Essential Factors Required for Fibroblast-Free Alveolosphere Formation.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon SRP096715
Transcriptome analysis of the effect of DAPT in GHMT-induced cardiac reprogramming
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The purpose of this experiment is to anlyze the transcriptomic changes associated with Notch inhibition, by DAPT treatment, during cardiac reprogramming mediated by GHMT (Gata4, Hand2, Mef2c anf Tbx5). Overall design: RNA-seq was performed on MEFs infected with GHMT (Gata4, Hand2, Mef2c anf Tbx5) and treated for 15 days with DMSO (vehicle) or DAPT.

Publication Title

Notch Inhibition Enhances Cardiac Reprogramming by Increasing MEF2C Transcriptional Activity.

Sample Metadata Fields

Specimen part, Cell line, Treatment, Subject

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accession-icon GSE19488
Down-regulated Genes in Mouse Dental Papillae and Pulp
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Goal of experiment: Identify genes down-regulated between pre- and post-natal stages in mouse dental papillae.

Publication Title

Down-regulated genes in mouse dental papillae and pulp.

Sample Metadata Fields

No sample metadata fields

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accession-icon SRP072875
Single-nucleus RNA-seq on undifferentiated human KD3 myoblasts and differentiated myotubes and mononucleated cells.
  • organism-icon Homo sapiens
  • sample-icon 253 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

We report the application of single-nucleus-based sequencing technology for high-throughput profiling of transcriptome in immortazalized human myoblast KD3. By obtaining over sixty billion bases of sequence from mRNA, we generated comprehensive transcriptome profiles from KD3 undifferentiated myoblast and differentiated multi-nucleated myotube and mono-nucleated cells. We find that the data from single-nucleus RNA-seq is consistent with the transcriptome from single-cell RNA-seq. The pri-mRNA expression characterized by single-nucleus RNA-seq can reflect the actual miRNA level in the whole cell. Overall design: Examination of transcriptome in 1 cell type in 3 differential stages.

Publication Title

Single-nucleus RNA-seq of differentiating human myoblasts reveals the extent of fate heterogeneity.

Sample Metadata Fields

Subject

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accession-icon GSE55981
Cell cycle-independent temporal identity transitions in cortical progenitor cells as revealed by single cell transcriptome analysis
  • organism-icon Mus musculus
  • sample-icon 68 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

During cerebral development, a variety of neurons are sequentially generated by self-renewing progenitor cells, apical progenitors (APs). A temporal change in AP identity is thought to produce a diversity of progeny neurons, while underlying mechanisms are largely unknown. Here we performed single cell genome-wide transcriptome profiling of APs at different neurogenic stages, and identified a set of genes that are temporally expressed in APs in a manner independent of differentiation state. Surprisingly, the temporal pattern of such AP gene expression was not affected by arresting cell cycling. Consistently, a transient cell cycle arrest of APs in vivo did not prevent descendant neurons to acquire their correct laminar fates. in vitro cell culture of APs revealed that transitions in AP gene expression involved in both cell-autonomous and non-autonomous mechanisms. These results suggest that timers controlling AP temporal identity run independently of cell cycle progression and Notch activation mode.

Publication Title

Cell-cycle-independent transitions in temporal identity of mammalian neural progenitor cells.

Sample Metadata Fields

Specimen part

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accession-icon SRP075338
mRNA profiles of hematopoieitc stme cells treated with interferon gamma and/or vitronectin
  • organism-icon Mus musculus
  • sample-icon 27 Downloadable Samples
  • Technology Badge IconIon Torrent Proton

Description

Purpose: The goals of this study are to elucidate the influence of integrin ß3 signaling on STAT1-dependnet gene expression in IFN?-treated HSCs. Methods: Wild type (WT) HSCs were cultured with or without IFN? and/or VN in the presence of stem cell factor (SCF) plus thrombopoietin (TPO). Subsequently, cultured HSC fraction (CD48- c-kit+ Sca-1+ Lineage-) were sorted, followed by mRNA sequence using Ion Proton (n>4). Moreover, to extract genes whose expression were changed via STAT1 in the presence of IFN?, mRNA profiles of STAT1-/- HSCs treated with or without IFN? were also generated by the same way. The sequence reads that passed quality filters were analyzed by CLC genomic workbench. Results: Using an optimized data analysis workflow, we mapped about 30 million sequence reads per sample to the mouse genome (build mm10) with CLC genomic workbench. Indeed, hierarchical clustering analysis showed that IFN?-treated STAT1-/- HSCs was categorized to the group including Wt HSCs cultured in the absence of IFN? rather than HSCs treated with IFN?. Furthermore, gene set enrichment analysis (GSEA) showed that STAT1-dependent upregulated gene sets were significantly enriched within genes whose expression was enhanced in HSCs treated with VN and IFN?. In contrast, integrin ß3 signaling in the absence of IFN? appears to not influence the expression of IFN?/STAT1-dependent genes, as evidenced by the observation that VN treatment was statistically and significantly independent of the enrichment of gene sets that were both up-regulated by STAT1 Conclusions: Our study represents that STAT1 plays a central role in IFN?-mediated HSC responses and integrin ß3 signaling in HSCs promotes STAT1-dependent gene expression in the presence of IFN?. Overall design: After HSCs derived from wild type (WT) and STAT1-/- mice were treated with IFNg and/or vitronectin for 5 days, mRNA profiles were generated by deep sequencing using Ion Proton system (n>4).

Publication Title

Integrin αvβ3 enhances the suppressive effect of interferon-γ on hematopoietic stem cells.

Sample Metadata Fields

Specimen part, Cell line, Subject

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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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