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accession-icon SRP062428
Temporal transcriptomics suggest that twin-peaking genes reset the clock
  • organism-icon Mus musculus
  • sample-icon 46 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

The mammalian suprachiasmatic nucleus (SCN) drives daily rhythmic behavior and physiology, yet a detailed understanding of its coordinated transcriptional programmes is lacking. To reveal the true nature of circadian variation in the mammalian SCN transcriptome we combined laser-capture microdissection (LCM) and RNA-Seq over a 24-hour light / dark cycle. We show that 7-times more genes exhibited a classic sinusoidal expression signature than previously observed in the SCN. Another group of 766 genes unexpectedly peaked twice, near both the start and end of the dark phase; this twin-peaking group is significantly enriched for synaptic transmission genes that are crucial for light-induced phase-shifting of the circadian clock. 342 intergenic non-coding RNAs, together with novel exons of annotated protein-coding genes, including Cry1, also show specific circadian expression variation. Overall, our data provide an important chronobiological resource (www.wgpembroke.com/shiny/SCNseq/) and allow us to propose that transcriptional timing in the SCN is gating clock resetting mechanisms. Overall design: Pooled dissected tissue of the suprachiasmatic nucleus from five adult male mice provided one of three replicates for each of six timepoints over a 12:12 light/dark (LD) cycle (ZT2, 6, 10, 14, 18 and 22). Each biological replicate was sequenced over 3 seperate lanes using Illumina HiSeq.

Publication Title

Temporal transcriptomics suggest that twin-peaking genes reset the clock.

Sample Metadata Fields

Specimen part, Cell line, Subject

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accession-icon GSE95472
Gene expression data from BT549 attached/suspended cells
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Cells grown in forced suspension culture mimic the early steps of metastasis. In order to determine what might be driving the ability of TNBC cells to survive in suspension, a global gene expression profiling experiment was performed. Human triple negative breast cancer (TNBC) cell line BT549 was grown in attached or forced suspension conditions for 24 hours, then RNA was harvested to look for changes in global gene expression.

Publication Title

Androgen Receptor Supports an Anchorage-Independent, Cancer Stem Cell-like Population in Triple-Negative Breast Cancer.

Sample Metadata Fields

Specimen part

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accession-icon GSE87584
Simultaneous microRNA and mRNA expression profiling on mammary epithelial cells isolated from mice at pregnancy day 14 and lactation day 2
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Constitutive expression of microRNA-150 in mammary epithelium suppresses secretory activation and impairs de novo lipogenesis.

Sample Metadata Fields

Sex, Specimen part, Subject

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accession-icon GSE73837
Gene expression in postnatal mammary gland development -pregnancy day 14 and lactation day 2
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Previoulsly expression profiling of the whole mammary gland across different stages of pregnancy and lactation has been performed on different strains of mice. Since mammary gland has both epithelial and stromal compartments, to specifically identify the genes involved in the transition from pregnancy to lactation a process termed as secretory activation, expression profiling of isolated mammary epithelial cells (MECs) from four CD1 mice each at Pregnancy day 14 (P14) and Lactation day 2 (L2) was performed in the current study.

Publication Title

Constitutive expression of microRNA-150 in mammary epithelium suppresses secretory activation and impairs de novo lipogenesis.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon SRP078250
RNA sequencing of C57BL/6NJ (B6NJ) x C57BL/6J (B6J) - F2 mice
  • organism-icon Mus musculus
  • sample-icon 64 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

RNA-seq analysis of 16 B6J x B6NJ-F2 mice which are homozygous for either the wild-type B6J allele (binge-resistant; J/J) or mutant B6NJ allele (binge-prone; N/N), at rs240617401, a marker denoting a missense SNP in Cyfip2. Genotype identity is denoted as either J for binge-resistant; J/J, or N for binge-prone; N/N. Overall design: A sample size of N=8 per genotype was employed (4 females, 4 males; 69-100 days old at the time of sacrifice). Striatum punches were harvested on Day 24 immediately following the 5-min behavioral test on the EPM, stored in RNAlater for 48 h, blotted dry with a kimwipe, and transferred to -80ºC. Total RNA was isolated and shipped to the University of Chicago Genomics Core Facility for cDNA library preparation using the Illumina TruSeq Stranded mRNA LT Sample Prep Kit (50 bp single-end reads). Samples were sequenced using the Illumina HiSeq 4000 with 16 samples per lane over four lanes (technical quadruplicates). FASTQ files were quality checked via FASTQC and all samples exhibited Phred quality scores greater than 30 (i.e. less than 0.1% sequencing error). FASTQ files were used to align reads to the reference genome using TopHat (mm10; UCSC Genome Browser). Read counts per gene were quantified using the HTSeq Python package.

Publication Title

Cytoplasmic FMR1-Interacting Protein 2 Is a Major Genetic Factor Underlying Binge Eating.

Sample Metadata Fields

Sex, Specimen part, Subject

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accession-icon SRP078380
RNA sequencing of Cyfip2N/- and Cyfip2N/N mice
  • organism-icon Mus musculus
  • sample-icon 64 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 4000

Description

RNA-seq analysis of 8 Cyfip2N/- and 8 Cyfip2N/N mice. Cyfip2N/- are mice contain one copy of the B6NJ missense mutation and one copy of the nonsense mutation (binge-resistant; N/-), whereas Cyfip2N/N are mice that have two mutated B6NJ allele (binge-prone; N/N), at rs240617401, a marker denoting a missense SNP in Cyfip2. Genotype identity is denoted as either J for binge-resistant; N/-, or N for binge-prone; N/N. Overall design: A sample size of N=8 per genotype was employed (4 females, 4 males; 82-84 days old at the time of sacrifice). Striatum punches were harvested on Day 24 immediately following the 5-min behavioral test on the EPM, stored in RNAlater for 48 h, blotted dry with a kimwipe, and transferred to -80ºC. Total RNA was isolated and shipped to the University of Chicago Genomics Core Facility for cDNA library preparation using the Illumina TruSeq Stranded mRNA LT Sample Prep Kit (50 bp single-end reads). Samples were sequenced using the Illumina HiSeq 4000 with 16 samples per lane over four lanes (technical quadruplicates). FASTQ files were quality checked via FASTQC and all samples exhibited Phred quality scores greater than 30 (i.e. less than 0.1% sequencing error). FASTQ files were used to align reads to the reference genome using TopHat (mm10; UCSC Genome Browser). Read counts per gene were quantified using the HTSeq Python package.

Publication Title

Cytoplasmic FMR1-Interacting Protein 2 Is a Major Genetic Factor Underlying Binge Eating.

Sample Metadata Fields

Sex, Specimen part, Cell line, Subject

View Samples
accession-icon GSE61208
Gene expression data from 4T1 irradiated tumors treated with TGFbeta blockade
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Accumulating data support the concept that ionizing radiation therapy (RT) has the potential to convert the tumor into an in situ, individualized vaccine; however this potential is rarely realized by RT alone. Transforming growth factor (TGF) is an immunosuppressive cytokine that is activated by RT and inhibits the antigen-presenting function of dendritic cells and the differentiation of effector CD8+ T cells. Here we tested the hypothesis that TGF hinders the ability of RT to promote anti-tumor immunity. Development of tumor-specific immunity was examined in a pre-clinical model of metastatic breast cancer.

Publication Title

TGFβ Is a Master Regulator of Radiation Therapy-Induced Antitumor Immunity.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon SRP127404
Genetic dissection of the a-globin super-enhancer in vivo [RNA-seq]
  • organism-icon Mus musculus
  • sample-icon 1 Downloadable Sample
  • Technology Badge IconIllumina HiSeq 2000

Description

Many genes determining cell identity are regulated by clusters of Mediator-bound enhancer elements collectively referred to as super-enhancers. These super-enhancers have been proposed to manifest higher-order properties important in development and disease. Here we report a comprehensive functional dissection of one of the strongest putative super-enhancers in erythroid cells. By generating a series of mouse models, deleting each of the five regulatory elements of the a-globin super-enhancer individually and in informative combinations, we demonstrate that each constituent enhancer seems to act independently and in an additive fashion with respect to hematological phenotype, gene expression, chromatin structure and chromosome conformation, without clear evidence of synergistic or higher-order effects. Our study highlights the importance of functional genetic analyses for the identification of new concepts in transcriptional regulation. Overall design: Mouse fetal liver erythroid RNA-seq. The RNA of the erythroid cells was metabolically labelled using 4-thiourdine nucleotide analogue supplementation of viable cells in culture. RNA transcripts that incorporated the analogue and hence were synthesised during this period of exposure, were then isolated from the pre-exiting bulk RNA by the addition of a biotin moiety and pull down.

Publication Title

Genetic dissection of the α-globin super-enhancer in vivo.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE8128
E14 ES cells and Embryoid bodies
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Gene expression in murine ES cells

Publication Title

Modeling insertional mutagenesis using gene length and expression in murine embryonic stem cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE7187
Microarray analysis of mdx mice expressing high levels of utrophin: therapeutic implications for DMD
  • organism-icon Mus musculus
  • sample-icon 17 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Expression 430A Array (moe430a)

Description

Duchenne Muscular Dystrophy (DMD) is a fatal muscle wasting disorder caused by dystrophin deficiency. Previous work suggested that increased expression of the dystrophin-related protein utrophin in the mdx mouse model of DMD can prevent dystrophic pathophysiology. Physiological tests showed that the transgenic mouse muscle functioned in a way similar to normal muscle. More recently, it has become possible to analyse disease pathways using microarrays, a sensitive method to evaluate the efficacy of a therapeutic approach. We thus examined the gene expression profile of mdx mouse muscle compared to normal mouse muscle and compared the data with that obtained from the transgenic line expressing utrophin. The data confirm that the expression of utrophin in the mdx mouse muscle results in a gene expression profile virtually identical to that seen for the normal mouse. This study confirms that a strategy to up-regulate utrophin is likely to be effective in preventing the disease.

Publication Title

Microarray analysis of mdx mice expressing high levels of utrophin: therapeutic implications for dystrophin deficiency.

Sample Metadata Fields

No sample metadata fields

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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