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accession-icon SRP202046
Single-cell transcriptomics of the embryonic mouse pancreas
  • organism-icon Mus musculus
  • sample-icon 58 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Data accompaning to van Gurp et al. Development 2019. single-cell sequencing of the developing mouse pancreas followed by Seurat analysis to discover genes important for alpha and beta cell differentiation. Overall design: Single-cells from mouse embryonic pancreas at E12.5, E13.5, E14.5, E15.5 and E18.5 were isolated and enriched for MIP-GFP and sorted into 384-well plates. Afterwards, SORT-seq was performed and single-cell transcriptomics profiles were obtained.

Publication Title

A transcriptomic roadmap to α- and β-cell differentiation in the embryonic pancreas.

Sample Metadata Fields

Subject

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accession-icon SRP080991
A single-cell transcriptome atlas of the human pancreas [CEL-seq2]
  • organism-icon Homo sapiens
  • sample-icon 32 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

To understand organ function it is important to have an inventory of the cell types present in the tissue and of the corresponding markers that identify them. This is a particularly challenging task for human tissues like the pancreas, since reliable markers are limited. Transcriptome-wide studies are typically done on pooled islets of Langerhans, which obscures contributions from rare cell types and/or potential subpopulations. To overcome this challenge, we developed an automated single-cell sequencing platform to sequence the transcriptome of thousands of single pancreatic cells from deceased organ donors, allowing in silico purification of all main pancreatic cell types. We identify cell type-specific transcription factors, a subpopulation of REG3A-positive acinar cells, and cell surface markers that allow sorting of live alpha and beta cells with high purity. This resource will be useful for developing a deeper understanding of pancreatic biology and pathophysiology of diabetes mellitus. Overall design: Islets of Langerhans were extracted from human cadaveric pancreata and kept in culture until single-cell dispersion and FACS sorting. Single-cell transcriptomics was performed on live cells from this mixture using an automated version of CEL-seq2 on live, FACS sorted cells. The StemID algorithm was used to identify clusters of cells corresponding to the major pancreatic cell types and to mine for novel cell type-specific genes as well as subpopulations within the known pancreatic cell types.

Publication Title

A Single-Cell Transcriptome Atlas of the Human Pancreas.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE36555
Host-influenza A virus(infA) interactions
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Temporal- and strain-specific host microRNA molecular signatures associated with swine-origin H1N1 and avian-origin H7N7 influenza A virus infection.

Sample Metadata Fields

Cell line

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accession-icon GSE36553
mRNA profiling during infection with H1N1 influenza A virus (A/Mexico/InDRE4487/H1N1/2009)
  • organism-icon Homo sapiens
  • sample-icon 40 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

MicroRNAs (miRNAs) repress the expression levels of genes by binding to mRNA transcripts, acting as master regulators of cellular processes. Differential expression of miRNAs has been linked to viral-associated diseases involving members of the hepacivirus, herpesvirus, and retrovirus families. In contrast, limited biological and molecular information has been reported on the potential role of cellular miRNAs in the lifecycle of influenza A viruses (infA). In this study, we hypothesize that elucidating the miRNA expression signatures induced by low-pathogenic swine-origin influenza A virus (S-OIV) pandemic H1N1 (2009) and highly pathogenic avian-origin (A-OIV) H7N7 (2003) infections could reveal temporal and strain-specific miRNA fingerprints during the viral lifecycle, shedding important insights into the potential role of cellular miRNAs in host-infA interactions. Using a microfluidic microarray platform, we profiled cellular miRNA expression in human A549 cells infected with S- and A-OIVs at multiple time-points during the viral lifecycle, including global gene expression profiling during S-OIV infection. Using target prediction and pathway enrichment analyses, we identified the key cellular pathways associated with the differentially expressed miRNAs and predicted mRNA targets during infA infection, including immune system, cell proliferation, apoptosis, cell cycle, and DNA replication and repair. By identifying the specific and dynamic molecular phenotypic changes (microRNAome) triggered by S- and A-OIV infection in human cells, we provide experimental evidence demonstrating a series of temporal- and strain-specific host molecular responses involving different combinatorial contributions of multiple cellular miRNAs. Our results also identify novel potential exosomal miRNA biomarkers associated with pandemic S-OIV and deadly A-OIV-host infection.

Publication Title

Temporal- and strain-specific host microRNA molecular signatures associated with swine-origin H1N1 and avian-origin H7N7 influenza A virus infection.

Sample Metadata Fields

Cell line

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accession-icon GSE20037
cdr2 siRNA knockdown during passage through mitosis: HeLa cells, Rat1 wild type and c-myc null cells
  • organism-icon Homo sapiens, Rattus norvegicus
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

[Hela cells]: We performed cdr2 knockdown with a pool of 4 cdr2-specific siRNAs to test whether cdr2 may regulate c-myc target genes as cells passage through mitosis.

Publication Title

The onconeural antigen cdr2 is a novel APC/C target that acts in mitosis to regulate c-myc target genes in mammalian tumor cells.

Sample Metadata Fields

Cell line

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accession-icon GSE19415
Expression data from primary ovine fetal turbinate cells infected with Orf Virus IA82 and deletion mutant OV-IA82024
  • organism-icon Ovis aries
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Bovine Genome Array (bovine)

Description

Reverse genetics has been widely used to investigate function of viral genes. In the present study we investigated the gene expression profile of a primary ovine cell (OFTu) in response to infection with the wild type (OV-IA82) and deletion mutant virus (OV-IA82024) aiming to determine possible functions for ORFV024 during ORFV infection.

Publication Title

A novel inhibitor of the NF-{kappa}B signaling pathway encoded by the parapoxvirus orf virus.

Sample Metadata Fields

Specimen part

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accession-icon GSE19556
Transcriptional program of terminal granulocytic differentation
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

To characterize the transcriptional program that governs terminal granulocytic differentation in vivo, we performed comprehensive microarray analysis of human bone marrow population highly enriched for promyelocytes, myelocytes / metamyelocytes and neotrophils.

Publication Title

Human neutrophils secrete bioactive paucimannosidic proteins from azurophilic granules into pathogen-infected sputum.

Sample Metadata Fields

Specimen part

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accession-icon GSE19652
Effector T cells driving monophasic vs relapse/remitting experimental autoimmune uveitis show unique pathway signatures
  • organism-icon Rattus norvegicus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Rat Genome 230 2.0 Array (rat2302)

Description

Experimental autoimmune uveitis (EAU) in Lewis rats is a model for the clinical heterogeneity of human uveitis. The autoantigens inducing disease in the rat are also seen in human disease. Depending upon the specific autoantigen used, the experimental disease course can be either monophasic or relapsing/remitting and appears to be dictated by the T cell effector phenotype elicited. We investigated potential differences between monophasic and relapsing/remitting effector T cells using transcriptomic profiling and pathway analysis. RNA samples isolated from three independent T cell lines derived from each specificity where analyzed by microarrays.

Publication Title

Effector T cells driving monophasic vs. relapsing/remitting experimental autoimmune uveitis show unique pathway signatures.

Sample Metadata Fields

Specimen part

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accession-icon GSE14825
Expression data from rhabdomyosarcoma cells expressing Myod and E-protein heterodimer and controls
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Rhabdomyosarcomas (RMS) are characterized by expression of myogenic specification genes, such as MyoD and/or Myf5, as well as their bHLH partners for heterodimerization, the E-proteins. We have shown that expression of a forced heterodimer of MyoD with one of the E2A proteins, E12, leads to differentiation in a RMS cell culture model when exposed to low serum conditions.

Publication Title

MyoD and E-protein heterodimers switch rhabdomyosarcoma cells from an arrested myoblast phase to a differentiated state.

Sample Metadata Fields

Cell line

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accession-icon GSE33246
Gene Regulation of Intestinal Porcine Epithelial Cells IPECJ2 is Dependent on the Site of Deoxynivalenol Toxicological Action
  • organism-icon Sus scrofa
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

Here we analysed different mechanisms of apical and basolateral deoxynivalenol (DON) toxicity reflected in the gene expression.

Publication Title

Gene regulation of intestinal porcine epithelial cells IPEC-J2 is dependent on the site of deoxynivalenol toxicological action.

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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