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accession-icon SRP049140
Identifying synaptically enriched mRNA by using next generation sequencing
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Preparation of Synaptosomes by density gradient and compare synaptically enriched mRNA to total homogenate transcriptome Overall design: In brief, mouse brains were homogenized in 5 ml homogenization buffer (0.32 M sucrose, 1 mM EDTA pH 7.4, 1 mM dithiothreitol, phenylmethanesulfonyl fluoride solution (Sigma, 93482-50ML-F), complete mini-protease inhibitor (Roche Diagnostics) for 10 sec using a polytron. The homogenate was centrifuged at 1,000g for 10 min at 4 °C yielding the nuclear fraction (Nuc) and the supernatant (Sup). The supernatant was centrifuged at 31,000g for 5 min at 4°C using a discontinuous Percoll gradient. The layer between 3% and 10% of Percoll were collected, washed in 30 ml of homogenization buffer and further centrifuged at 22,000 × g for 15 min at 4°CT. The pellet was resuspended in in EBC buffer (50 mM Tris-HCl pH 8.0, 120 mM NaCl and 0.5% NP-40) containing complete mini-protease inhibitor (Roche Diagnostics) and phosphatase inhibitor cocktail 1 and 2 (Sigma–Aldrich)) for Western blot analysis or lysis buffer for RNA extraction (GenElute Mammalian Total RNA Miniprep Kit, Sigma).

Publication Title

Mutations in NONO lead to syndromic intellectual disability and inhibitory synaptic defects.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE62090
Gene expression profiling of human Ewing sarcoma cells after knockdown of EGR2 or EWSR1-FLI1.
  • organism-icon Homo sapiens
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.1 ST Array (hugene21st)

Description

To get insight in the functional role of EGR2 for Ewing sarcoma, we performed a transcriptional profiling of Ewing sarcoma cells after knockdown of EGR2 and compared the resulting transcriptional signature with that of EWSR1-FLI1-silenced Ewing sarcoma cells. In accordance with the strong EGR2-induction by EWSR1-FLI1, both genes highly significantly overlap in their transcriptional signatures. Gene-set enrichment analyses (GSEA) and DAVID (Database for Annotation, Visualisation and Integrated Discovery) gene ontology analyses indicated a strong impact of EGR2 on cholesterol and lipid biosynthesis resembling its function in orchestrating lipid metabolism of myelinating Schwann cells.

Publication Title

Chimeric EWSR1-FLI1 regulates the Ewing sarcoma susceptibility gene EGR2 via a GGAA microsatellite.

Sample Metadata Fields

Cell line, Treatment

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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

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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

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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

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accession-icon SRP100782
Single cell RNA-seq of eight thousand epithelium cells from the mammary glands of adult mice
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

Epithelial cells were isolated by FACS from the mammary glands of adult (10 week old) female mice. A basal subpopulation of the epithelial cells was also isolated. Freshly sorted cells were submitted to a 10X Genomics Chromium System for single cell capture. cDNA synthesis and library preparation was done according to the protocol supplied by the manufacturer. Sequencing was carried out on an Illumina NextSeq500 sequencer to achieve 75 bp paired-end reads. Overall design: Transcriptional profiling was completed for 4771 basal cells and 3302 total epithelial cells 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
...

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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