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accession-icon GSE46889
Temporal Gene Expression Patterns in the skin of D6 null and wild type mice after inflammation with the chemical irritant TPA
  • organism-icon Mus musculus
  • sample-icon 30 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The chemokine decoy receptor D6 internalises and degrades inflammatory CC chemokines enabling resolution of inflammation. In D6 deficient mice (D6 KO), otherwise innocuous cutaneous inflammatory stimuli induce a grossly exaggerated inflammatory response that bears many similarities to human psoriasis. In the present study we have used transcriptomic approaches to define the molecular make up of this response.

Publication Title

Microarray analyses demonstrate the involvement of type I interferons in psoriasiform pathology development in D6-deficient mice.

Sample Metadata Fields

Sex, Specimen part, Treatment, Time

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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 GSE29181
Core transcriptional regulatory circuit controlled by the TAL1 complex in human T-cell acute lymphoblastic leukemia
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Core transcriptional regulatory circuit controlled by the TAL1 complex in human T cell acute lymphoblastic leukemia.

Sample Metadata Fields

Disease, Cell line

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accession-icon GSE29179
Identification of differentially expressed genes upon shRNA knockdown of TAL1 and its regulatory partners in T-ALL cells (Jurkat)
  • organism-icon Homo sapiens
  • sample-icon 11 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer II

Description

The oncogenic transcription factor TAL1/SCL is aberrantly overexpressed in over 40% of cases of T-cell acute lymphoblastic leukemia (T-ALL), emphasizing the importance of the TAL1-regulated transcriptional program in the molecular pathogenesis of T-ALL. Here we identify the core transcriptional regulatory circuit controlled by TAL1 and its regulatory partners HEB, E2A, GATA3, ETS1 and RUNX1 in T-ALL cells. We find that TAL1 forms an interconnected auto-regulatory loop with its partners, which contributes to the sustained upregulation of its direct target genes. Importantly, we also find the MYB oncogenic transcription factor is directly activated by the TAL1 complex and positively regulates many of the same target genes, thus forming a feed-forward positive regulatory loop that further promotes the TAL1-regulated oncogenic program.

Publication Title

Core transcriptional regulatory circuit controlled by the TAL1 complex in human T cell acute lymphoblastic leukemia.

Sample Metadata Fields

Cell line

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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

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accession-icon GSE45276
Expression data from Control, AKT and RAS transduced cells
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Mutations in both RAS and the PTEN/PIK3CA/AKT signaling module are found in the same human tumors. PIK3CA and AKT are downstream effectors of RAS, and the selective advantage conferred by mutation of two genes in the same pathway is unclear. Based on a comparative molecular analysis, we show that activated PIK3CA/AKT is a weaker inducer of senescence than is activated RAS. More-over, concurrent activation of RAS and PIK3CA/AKT impairs RAS-induced senescence.

Publication Title

Activation of the PIK3CA/AKT pathway suppresses senescence induced by an activated RAS oncogene to promote tumorigenesis.

Sample Metadata Fields

Cell line

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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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