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accession-icon GSE9963
Gene expression data on human optic nerve head astrocytes
  • organism-icon Homo sapiens
  • sample-icon 81 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a), Affymetrix Human Genome U95A Array (hgu95a)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Susceptibility to glaucoma: differential comparison of the astrocyte transcriptome from glaucomatous African American and Caucasian American donors.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE9944
Gene expression data on human optic nerve head astrocytes in Caucasian and African americans with or without glaucoma
  • organism-icon Homo sapiens
  • sample-icon 63 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U95A Array (hgu95a)

Description

To determine whether optic nerve head astrocytes, a key cellular component of glaucomatous neuropathy, exhibit differential gene expression in primary culture of astrocytes from African American donors with or without glaucoma, compared to astrocytes from Caucasian American donors with or without glaucoma.

Publication Title

Susceptibility to glaucoma: differential comparison of the astrocyte transcriptome from glaucomatous African American and Caucasian American donors.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon SRP127255
A Forward Genetic Screen Targeting the Endothelium Reveals a Regulatory Role for the Lipid Kinase Pi4ka in Myelo- and Erythropoiesis [clonality]
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

Definitive hematopoietic cells arise from hemogenic endothelium during mid-gestation, indicating a direct link between blood and the endothelial-lined vessels. We sought to determine whether mutations initiated in the hemogenic endothelium would yield hematopoietic abnormalities or malignancies. Here we demonstrate that transposon mutagenesis targeting endothelial cells in mice promotes the development of hematopoietic pathologies that are both myeloid and lymphoid in nature. Sequencing of the disrupted genes identified several previously recognized candidate cancer drivers and furthermore revealed that mutations in the lipid kinase Pi4ka can result in myeloid and erythroid dysfunction. Subsequent validation experiments showed that targeted inactivation of the Pi4ka catalytic domain or reduction in mRNA expression inhibited myeloid and erythroid cell differentiation in vitro and promoted anemia in vivo through a mechanism that includes, but it is not limited to deregulation of Akt signaling. Finally, we provide evidence linking PI4KAP2, previously considered a “pseudogene”, with human myeloid and erythroid leukemia. Overall design: mRNA transcriptional comparison between two pieces of spleen from three SBxVEC-Cre+ animals and three control animals to assess clonality of each spleen as a whole.

Publication Title

A Forward Genetic Screen Targeting the Endothelium Reveals a Regulatory Role for the Lipid Kinase Pi4ka in Myelo- and Erythropoiesis.

Sample Metadata Fields

Specimen part, Cell line, Subject

View Samples
accession-icon SRP100788
Single cell RNA-seq of 444 epithelial cells from the mammary glands of pubescent and adult mice
  • organism-icon Mus musculus
  • sample-icon 422 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Mammary glands were collected from 8 pubescent (4.7-4.9 week-old) female mice and 8 adult (10 week old) female mice. Freshly sorted epithelial cells were submitted to a Fluidigm C1 System machine for single cell capture and cDNA synthesis. Cells were visualized under the microscope to ensure integrity of the captured single cells prior to cDNA preparation. Libraries were prepared using the Nextera XT kit and sequencing was carried out on an Illumina NextSeq 500 to achieve paired-end 75 bp reads. Overall design: RNA-seq profiling was completed for 221 cells from pubescent mice and 223 cells from adult mice.

Publication Title

Construction of developmental lineage relationships in the mouse mammary gland by single-cell RNA profiling.

Sample Metadata Fields

Cell line, Subject

View Samples
accession-icon SRP100784
Single cell RNA-seq of 346 epithelial cells from the mammary glands of pre-pubescent, pubescent and adult mice
  • organism-icon Mus musculus
  • sample-icon 346 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Mammary glands were collected from pre-pubescent (2 weeks old), pubescent (4.7- 4.9 weeks old) and adult (10 week-old) female mice. Freshly sorted epithelial cells were submitted to a Fluidigm C1 System machine for single cell capture and cDNA synthesis. Cells were visualized under a microscope to ensure integrity of the captured single cells prior to cDNA preparation. Libraries were prepared using the Nextera XT kit and sequencing was carried out on an Illumina Hiseq 2000 to achieve 100 bp paired-end reads. Overall design: RNA-seq profiling was completed for 144 cells from 8 pre-puberty (2 week old) mice, 136 cells from 8 pubescent (4.7-4.9 week old) mice and 66 cells from 8 adult (10 week old) mice.

Publication Title

Construction of developmental lineage relationships in the mouse mammary gland by single-cell RNA profiling.

Sample Metadata Fields

Cell line, Subject

View Samples
accession-icon SRP100792
Single cell RNA-seq of 312 basal epithelial cells from the mammary glands of pregnant and adult mice
  • organism-icon Mus musculus
  • sample-icon 311 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Mammary glands were collected from 8 pregnant (12.5 day) mice and 8 adult (10 week old) female mice. Basal epithelial cells were FACS sorted. Freshly sorted cells were submitted to a Fluidigm C1 System machine for single cell capture and cDNA synthesis. Cells were visualized under the microscope to ensure integrity of the captured single cells prior to cDNA preparation. Libraries were prepared using the Nextera XT kit and sequencing was carried out on an Illumina NextSeq 500 to achieve paired-end 75 bp reads. Overall design: RNA-seq profiling was completed for 75 cells from pregnant mice and 237 cells from adult mice.

Publication Title

Construction of developmental lineage relationships in the mouse mammary gland by single-cell RNA profiling.

Sample Metadata Fields

Cell line, Subject

View Samples
accession-icon SRP100785
Single cell RNA-seq of 278 epithelial cells from the mammary glands of pregnant and non-pregnant mice
  • organism-icon Mus musculus
  • sample-icon 278 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Mammary glands were collected from 8 pregnant (12.5 day) mice and 8 non-pregnant adult (10 week old) female mice. Epithelial cells were FACS sorted from the pregnant mice. Cells from the adult mice were FACS sorted as basal or luminal. Freshly sorted cells were submitted to a Fluidigm C1 System machine for single cell capture and cDNA synthesis. Cells were visualized under the microscope to ensure integrity of the captured single cells prior to cDNA preparation. Libraries were prepared using the Nextera XT kit and sequencing was carried out on an Illumina NextSeq 500 to achieve 75 bp paired-end reads. Overall design: 112 basal cells and 43 luminal cells were profiled from the adult mice. 123 total epithelial cells were profiled from the pregnant mice.

Publication Title

Construction of developmental lineage relationships in the mouse mammary gland by single-cell RNA profiling.

Sample Metadata Fields

Cell line, Subject

View Samples
accession-icon SRP100783
Single cell RNA-seq of 186 basal and luminal epithelial cells from the mammary gland of adult mice
  • organism-icon Mus musculus
  • sample-icon 169 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Mammary glands of 8 adult (10 week-old) female mice were collected. Freshly sorted basal and luminal epithelial cells were submitted to a Fluidigm C1 System machine for single cell capture and cDNA synthesis. Cells were visualized under the microscope to ensure integrity of the captured single cells prior to cDNA preparation. Libraries were prepared using the Nextera XT kit and sequencing was carried out on an Illumina Hiseq 2000 to achieve 100bp paired-end reads. Overall design: 96 basal and 90 luminal cells were profiled from 8 mice.

Publication Title

Construction of developmental lineage relationships in the mouse mammary gland by single-cell RNA profiling.

Sample Metadata Fields

Cell line, Subject

View Samples
accession-icon GSE81942
PRMT1 and CSNK1a1 control epidermal progenitor maintenance
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

CSNK1a1 Regulates PRMT1 to Maintain the Progenitor State in Self-Renewing Somatic Tissue.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE110049
PRMT1 and CSNK1a1 control epidermal progenitor maintenance (PRMT1/CSNK1a1 transcriptome profiling data sets)
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Here we determine the target gene sets controlled by PRMT1 or CSNK1a1 in maintaining the undifferentiated state of primary human keratinocytes.

Publication Title

CSNK1a1 Regulates PRMT1 to Maintain the Progenitor State in Self-Renewing Somatic Tissue.

Sample Metadata Fields

Treatment

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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