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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 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 GSE106076
ZFN engineered hiPSC with the FTDP-17 associated MAPT IVS10+16 mutation w/wo additional P301S mutation and comparison of FTDP-17 IVS10+16 patient derived hiPSC and ZFN engineered hiPSC
  • organism-icon Homo sapiens
  • sample-icon 65 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Genetically Engineered iPSC-Derived FTDP-17 MAPT Neurons Display Mutation-Specific Neurodegenerative and Neurodevelopmental Phenotypes.

Sample Metadata Fields

Specimen part, Treatment

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accession-icon GSE104013
ZFN engineered hiPSC with the FTDP-17 associated MAPT IVS10+16 mutation w/wo additional P301S mutation
  • organism-icon Homo sapiens
  • sample-icon 46 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

The development of an effective therapy against tauopathies like Alzheimers disease (AD) and frontotemporal dementia (FTD) remains challenging, partly due to limited access to fresh brain tissue, the lack of translational in vitro disease models and the fact that underlying molecular pathways remain to be deciphered. Several genes play an important role in the pathogenesis of AD and FTD, one of them being the MAPT gene encoding the microtubule-associated protein tau. Over the past few years, it has been shown that induced pluripotent stem cells (iPSC) can be used to model various human disorders and can serve as translational in vitro tools. Therefore, we generated iPSC harboring the pathogenic FTDP-17 (frontotemporal dementia and parkinsonism linked to chromosome 17) associated mutations IVS10+16 with and without P301S in MAPT using Zinc Finger Nuclease technology. Whole transcriptome analysis of MAPT IVS10+16 neurons reveals neuronal subtype differences, reduced neural progenitor proliferation potential and aberrant WNT signaling. Notably, all phenotypes were recapitulated using patient-derived neurons. Finally, an additional P301S mutation causes an increased calcium bursting frequency, reduced lysosomal acidity and tau oligomerization.

Publication Title

Genetically Engineered iPSC-Derived FTDP-17 MAPT Neurons Display Mutation-Specific Neurodegenerative and Neurodevelopmental Phenotypes.

Sample Metadata Fields

Treatment

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accession-icon GSE106075
Comparison of FTDP-17 IVS10+16 patient derived hiPSC and ZFN engineered hiPSC
  • organism-icon Homo sapiens
  • sample-icon 23 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U219 Array (hgu219)

Description

The development of an effective therapy against tauopathies like Alzheimers disease (AD) and frontotemporal dementia (FTD) remains challenging, partly due to limited access to fresh brain tissue, the lack of translational in vitro disease models and the fact that underlying molecular pathways remain to be deciphered. Several genes play an important role in the pathogenesis of AD and FTD, one of them being the MAPT gene encoding the microtubule-associated protein tau. Over the past few years, it has been shown that induced pluripotent stem cells (iPSC) can be used to model various human disorders and can serve as translational in vitro tools. Therefore, we generated iPSC harboring the pathogenic FTDP-17 (frontotemporal dementia and parkinsonism linked to chromosome 17) associated mutations IVS10+16 with and without P301S in MAPT using Zinc Finger Nuclease technology. Whole transcriptome analysis of MAPT IVS10+16 neurons reveals neuronal subtype differences, reduced neural progenitor proliferation potential and aberrant WNT signaling. Notably, all phenotypes were recapitulated using patient-derived neurons. Finally, an additional P301S mutation causes an increased calcium bursting frequency, reduced lysosomal acidity and tau oligomerization.

Publication Title

Genetically Engineered iPSC-Derived FTDP-17 MAPT Neurons Display Mutation-Specific Neurodegenerative and Neurodevelopmental Phenotypes.

Sample Metadata Fields

Specimen part, Treatment

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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 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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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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