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accession-icon SRP158188
RNA-seq profiles of reprogramming cells at Day 3 and Day 6 from MEFs to iPS cells
  • organism-icon Mus musculus
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

AIM: To detect differences in transcriptional profiles after knocking down Brca1, Bard1 or Wdr5, compared to a negative control in early reprogramming to pluripotency. DESCRIPTION: RNA-seq profiles of early reprogramming mouse embryonic fibroblasts (MEFs) transduced with lentivirus containing doxycycline-inducible OSKM factors to induce pluripotency . Before starting reprogramming, OSKM-MEFs were transfected with different siRNAs and then they were reprogrammed for 3 or 6 days. Overall design: The control sample consists of cells transfected with non-targeting siRNA. The other samples were transfected with either siBrca1, siWdr5 or siBard1. For every knockdown there is a biological replicate.

Publication Title

The corepressor NCOR1 and OCT4 facilitate early reprogramming by suppressing fibroblast gene expression.

Sample Metadata Fields

Cell line, Subject

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accession-icon SRP158239
CELSeq2-profiles for siRNA screening and daily timecourse for early reprogramming to pluripotency.
  • organism-icon Mus musculus
  • sample-icon 3 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

AIM: To find molecular signatures associated to the siRNA-mediated knockdowns in order to be able to identify similarities among different knockdowns. DESCRIPTION: Each sample includes biological triplicates for 35 siRNA-mediated knockdowns targeting 30 chromatin-associated proteins during in early reprogramming to iPS at day 6. A daily timecourse from reprogramming cells, without treatment from MEFs until day 6 is also included in triplicate. Overall design: RNA was harvested for all samples in bulk and the CELSeq2 method was used to prepare the RNAseq libraries

Publication Title

The corepressor NCOR1 and OCT4 facilitate early reprogramming by suppressing fibroblast gene expression.

Sample Metadata Fields

Cell line, Subject

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accession-icon GSE16801
Comparative gene expression analysis of 2 subpopulations of dermal papilla cells.
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

Different types of hair follicles can be found in the skin of mice. It is believed that the signals that control hair follicle differentiation arise from cells in a structure called the dermal papilla. Understanding the nature of those signals is of interest for the biology of the normal tissue.

Publication Title

Sox2-positive dermal papilla cells specify hair follicle type in mammalian epidermis.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE38255
Differential accumulation of splice variants and transcripts as a result of PI3K inhibition in T lymphocytes and the potential role of their gene products in T cell silencing
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [probe set (exon) version (huex10st)

Description

Using measles virus induced T cell suppression as a model, we established that T cell inhibitory protein isoforms can be produced from alternatively spliced pre-mRNAs as a result of virus-mediated ablation of T cell receptor dependent activation of the phosphatidylinositol-3-kinase (PI3K). To asses production of alternative splice variants in response to PI3K abrogation in T cells at a whole cell level, we performed a Human Exon 1.0 ST Array on RNAs isolated from T cells stimulated only or stimulated after PI3K inhibition. We developed a simple algorithm based on a splicing index to detect genes that undergo alternative splicing (AS) or are differentially regulated (RG) on T cell suppression. Applying our algorithm on this model 9% of the genes were assigned as AS, while only 3% were attributed to RG. Though there are overlaps, AS and RG genes differed with regard to functional regulated at the level of AS or RG were found enriched in different functional groups with AS targeting e. g. extra cellular matrix (ECM)-receptor interaction and focal adhesion, while cytokine-receptor interaction, Jak-STAT and p53 pathways were mainly RG. When combined, AS/RG dependent alterations targeted pathways essential for T cell receptor signaling, cytoskeletal dynamics and cell cycle entry strongly supporting the notion that PI3K abrogations interferes with key T cell activation processes at both levels, and that candidates represented within both categories bear the potential to actively contribute to T cell suppression

Publication Title

Accumulation of splice variants and transcripts in response to PI3K inhibition in T cells.

Sample Metadata Fields

Specimen part, Treatment, Subject

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accession-icon GSE42682
Repression of genes for stimulators of glycolysis
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

The overall aim of the present work was to identify MTG16 functions in leukemia cells. Alterations in quantity of the MTG16 co-repressor might affect gene regulation and cell metabolism in malignant cells. Differentiated cells secure energy for cellular homeostasis largely by mitochondrial oxidation. Whereas, mature cells, proliferating tumour cells including leukemia cells depend on glycolysis and mitochondrial respiration may be low even in oxygenrich environments.The same signal transduction pathways that govern cell proliferation give instructions for nutrient uptake and co-regulate metabolic processes. In this manner, the metabolism of tumor cells, and other highly proliferating cells, is adapted to stimulate anabolic glycolysisdriven processes for incorporation of nutrients into nucleotides, amino acids and lipids to synthesize macromolecules required for growth and proliferation.

Publication Title

The transcriptional co-repressor myeloid translocation gene 16 inhibits glycolysis and stimulates mitochondrial respiration.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP117757
RNA sequencing of Foxd1Cre;Smo(flox/-) mutant kidneys
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

Purpose: To analyze the mRNA content of Foxd1Cre;Smo(flox/-) mutant kidneys. Methods: We collected E13.5 wildtype and Foxd1Cre;Smo(flox/-) mutant kidneys and isolated RNA to do RNA-Seq. Results: Identified differentially expressed transcripts in Foxd1Cre;Smo(flox/-) mutant kidneys compared to wildtype controls. Conclusions: Our work provides novel insight into how Hedgehog signaling from stromal cells influences renal development. Overall design: RNA sequencing of Foxd1Cre;Smo(flox/-) mutant kidneys compared to controls.

Publication Title

Hedgehog-GLI signaling in <i>Foxd1-</i>positive stromal cells promotes murine nephrogenesis via TGFβ signaling.

Sample Metadata Fields

Specimen part, Subject

View Samples
accession-icon SRP150723
Effect of BMP inhibition or stimulation of primary human keratinocytes
  • organism-icon Homo sapiens
  • sample-icon 59 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

BMP treatment induces expression of late differenitation genes in primary human keratinocytes. Overall design: RNA-seq analysis after treatment with EGFR inhibitor AG1478 with or without BMP27 or BMP inhibitor DMH1. each treatment and control was performed in triplicate

Publication Title

Single-Cell ID-seq Reveals Dynamic BMP Pathway Activation Upstream of the MAF/MAFB-Program in Epidermal Differentiation.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP147553
Splicing and epigenetic factors jointly regulate epidermal differentiation
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

We report the effects of silencing SRSF1 or ZMAT2 in human epidermal stem cells on the transcriptome of epidermal stem cells. We found that silencing ZMAT2 or SRSF1 affects global splicing, however, ZMAT2 seems to regulate splicing of a smaller more specific subset of genes. Overall design: RNA-sequencing data following silencing SRSF1 or ZMAT2

Publication Title

Splicing and Chromatin Factors Jointly Regulate Epidermal Differentiation.

Sample Metadata Fields

Specimen part, Subject, Time

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accession-icon SRP155035
STVI-120 Induction of differentiation in human epidermal stem cells followed by differential splicing analysis
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge IconNextSeq 500

Description

We report the effects of induction of differentiation in human epidermal stem cells on the splicing of the transcriptome. Overall design: RNA-sequencing data following induction of differentiation in human epidermal stem cells

Publication Title

Splicing and Chromatin Factors Jointly Regulate Epidermal Differentiation.

Sample Metadata Fields

Specimen part, Treatment, Subject

View Samples
accession-icon GSE48125
Neonatal antibotic prophylaxis modulates intestinal immunity and prevents necrotizing enterocolitis in preterm neonates
  • organism-icon Sus scrofa
  • sample-icon 16 Downloadable Samples
  • Technology Badge Icon Affymetrix Porcine Genome Array (porcine)

Description

Caesarean-delivered preterm pigs were fed 3 d of parenteral nutrition followed by 2 d of enteral formula feeding. Antibiotics (n=11) or control saline (n=13) were given twice daily from birth to tissue collection at d 5. NEC-lesions and intestinal structure, function, microbiology and immunity markers were recorded.

Publication Title

Antibiotics modulate intestinal immunity and prevent necrotizing enterocolitis in preterm neonatal piglets.

Sample Metadata Fields

Specimen part, 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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