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accession-icon GSE51378
Expression data from wild type (WT) and TREM2 null alveolar macrophages (AM)
  • organism-icon Mus musculus
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

TREM-2 has been described to be a phagocytic receptor. We assessed the influence of TREM-2 on gene expression in alveolar macrophages (AM)

Publication Title

The triggering receptor expressed on myeloid cells 2 inhibits complement component 1q effector mechanisms and exerts detrimental effects during pneumococcal pneumonia.

Sample Metadata Fields

Specimen part

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accession-icon GSE25970
Reference maps of human ES and iPS cell variation enable high-throughput characterization of pluripotent cell lines
  • organism-icon Homo sapiens
  • sample-icon 43 Downloadable Samples
  • Technology Badge Icon Affymetrix HT Human Genome U133A Array (hthgu133a)

Description

The developmental potential of human pluripotent stem cells suggests that they can produce disease-relevant cell types for biomedical research. However, substantial variation has been reported among pluripotent cell lines, which could affect their utility and clinical safety. Such cell-line specific differences must be better understood before one can confidently use embryonic stem (ES) or induced pluripotent stem (iPS) cells in translational research. Towards this goal we have established genome-wide reference maps of DNA methylation and gene expression for 20 previously derived human ES lines and 12 human iPS cell lines, and we have measured the in vitro differentiation propensity of these cell lines. This resource enabled us to assess the epigenetic and transcriptional similarity of ES and iPS cells and to predict the differentiation efficiency of individual cell lines. The combination of assays yields a scorecard for quick and comprehensive characterization of pluripotent cell lines.

Publication Title

Reference Maps of human ES and iPS cell variation enable high-throughput characterization of pluripotent cell lines.

Sample Metadata Fields

Sex, Cell line

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accession-icon GSE38557
DNA methylation dynamics during in vivo differentiation of blood and skin stem cells
  • organism-icon Mus musculus
  • sample-icon 10 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

DNA methylation is a mechanism of epigenetic regulation that is common to all vertebrates. Functional studies support its relevance for tissue homeostasis, but the global dynamics of DNA methylation during in vivo differentiation have not been worked out in detail. Here we report high-resolution DNA methylation maps of adult stem cell differentiation in mouse, focusing on 19 purified cell populations of the blood and skin lineages. Except for global demethylation in erythrocytes, observed DNA methylation changes were locus-specific and relatively modest in size. They frequently overlapped with lineage-associated transcription factors and their binding sites, suggesting that DNA methylation may protect cells from aberrant transcription factor activation. DNA methylation and gene expression provided highly complementary information, and combining the two enabled us to infer the blood lineage hierarchy directly from genomic data. In summary, our dataset and analysis demonstrate that in vivo differentiation of adult stem cells is associated with small but informative changes in the distribution of DNA methylation across the mouse genome.

Publication Title

DNA methylation dynamics during in vivo differentiation of blood and skin stem cells.

Sample Metadata Fields

Specimen part

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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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