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accession-icon GSE108983
Reprogramming of heterologous cells by defined factors to generate lineage-restricted biomolecules
  • organism-icon Mus musculus
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

The ability of transcriptional regulators to drive lineage conversion of somatic cells offers great potential for the treatment of human disease. While current research in this field is focused on the generation of induced pluripotent stem cells or direct lineage transdifferentiation, less attention has been paid to the possibility of reprogramming cells to produce cytokines, growth factors and hormones. To explore the concept of switching on specific target genes in heterologous cells, we developed a model system to screen candidate factors for their ability to activate the archetypal megakaryocyte-specific chemokine platelet factor 4 (PF4) in fibroblasts. We found that co-expression of the transcriptional regulators GATA1 and FLI1 resulted in a significant increase in levels of PF4, which became magnified over time. We also determined that inclusion of a third factor, TAL1, further enhanced upregulation of PF4 expression. Our study therefore identified of TAL1 as an important component in the combination of transcriptional regulators that contribute to megakaryocyte programming, and demonstrated that such combinations can be used to produce potentially beneficial chemokines in readily available heterologous cell types.

Publication Title

Partial reprogramming of heterologous cells by defined factors to generate megakaryocyte lineage-restricted biomolecules.

Sample Metadata Fields

Time

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accession-icon GSE25616
Liver expression data from lactating QSi5 mice
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The liver plays a crucial role in energy partitioning and is particularly important for the increased demand from the mammary gland during lactation. The present study identifies genes associated with negative energy balance in lactating mice.

Publication Title

No associated publication

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE50083
Microarray analysis of monoclonal K562 lines transfected with pEF1a or pEF1a-Pu.2
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

Ectopic expression of the novel Pu.1 isoform Pu.2 in K562 was performed to investigate the biological function and importance of this novel protein

Publication Title

No associated publication

Sample Metadata Fields

Cell line

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accession-icon GSE114384
Expression data of sheep exposed to Mycobacterium avium subsp. Paratuberculosis
  • organism-icon Ovis aries
  • sample-icon 124 Downloadable Samples
  • Technology Badge Icon Affymetrix Bovine Genome Array (bovine)

Description

In this study, consistent gene expression changes were analysed to identify gene-to-gene interaction and functional pathway relationships associated with the MAP exposure outcomes of either a paucibacillary or a multibacillary disease form or sheep resilient to disease. The results suggest that although groups of genes are differentially changed in the MAP exposed sheep regardless of clinical outcome, there are distinct variations in gene expression patterns between the paucibacillary and multibacillary forms of disease and of particular note was the finding that MAP exposed animals with evidence of recovery or resilience respond to MAP exposure with a pattern of gene and molecular pathway interactions distinct from those animals that progress to clinical paratuberculosis.

Publication Title

No associated publication

Sample Metadata Fields

Specimen part, Disease, Treatment

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accession-icon GSE31130
Non-overlapping progesterone receptor cistromes contribute to cell-specific transcriptional outcomes in breast cells
  • organism-icon Homo sapiens
  • sample-icon 60 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip, Illumina HumanHT-12 V3.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Non-overlapping progesterone receptor cistromes contribute to cell-specific transcriptional outcomes.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE85998
Expression data from mouse liver
  • organism-icon Mus musculus
  • sample-icon 47 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.1 ST Array (mogene21st)

Description

Livers from 15 month old mice mainatined on one of 25 different diets varying in protein, carbohydrate, fat (P,C,F) and energy content were analysed. Energy content was categorised as low (8kJ/g), medium (13kJ/g) or high (17kJ/g) Mice were placed on diet from 3 weeks of age and a subset culled for various analyses. The rest of the cohort was allowed to live out their natural life to assess lifespan.

Publication Title

Defining the Nutritional and Metabolic Context of FGF21 Using the Geometric Framework.

Sample Metadata Fields

Specimen part

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accession-icon GSE31128
Progestin regulation of gene expression in breast cancer and minimally transformed breast cell lines
  • organism-icon Homo sapiens
  • sample-icon 48 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

Time course of response to synthetic progestin ORG2058 in T-47D and ZR-75-1 breast cancer cell lines and in two PR positive clones of the MCF-10A cell line: AB9 and AB32.

Publication Title

Non-overlapping progesterone receptor cistromes contribute to cell-specific transcriptional outcomes.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE73037
Cross-species Gene Expression Analysis Identifies a Novel Set of Genes Implicated in Human Insulin Sensitivity
  • organism-icon Mus musculus, Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Cross-species gene expression analysis identifies a novel set of genes implicated in human insulin sensitivity.

Sample Metadata Fields

Specimen part, Time

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accession-icon GSE28260
Renal cortex and medulla microRNA and mRNA expression differences between hypertensive and normotensive patients
  • organism-icon Homo sapiens
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Gene expression profiling reveals renin mRNA overexpression in human hypertensive kidneys and a role for microRNAs.

Sample Metadata Fields

Sex, Specimen part

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accession-icon GSE106324
Oxidative stress time-course in adipocytes
  • organism-icon Mus musculus
  • sample-icon 32 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 2.1 ST Array (mogene21st)

Description

3T3-L1 adipocytes were treated inhibitors against the glutathione and thioredoxin cycling pools for several time-points (2-24 h).

Publication Title

The transcriptional response to oxidative stress is part of, but not sufficient for, insulin resistance in adipocytes.

Sample Metadata Fields

Cell line, Treatment

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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)

fund-icon Fund the CCDL

Developed by the Childhood Cancer Data Lab

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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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