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accession-icon GSE21033
Timecourse analysis of gene expression by murine bone marrow-generated dendritic cells following treatment with Poly I:C
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

BACKGROUND: Dendritic cells (DC) play a central role in primary immune responses and become potent stimulators of the adaptive immune response after undergoing the critical process of maturation. Understanding the dynamics of DC maturation would provide key insights into this important process. Time course microarray experiments can provide unique insights into DC maturation dynamics. Replicate experiments are necessary to address the issues of experimental and biological variability. Statistical methods and averaging are often used to identify significant signals. Here a novel strategy for filtering of replicate time course microarray data, which identifies consistent signals between the replicates, is presented and applied to a DC time course microarray experiment.

Publication Title

Dynamics of dendritic cell maturation are identified through a novel filtering strategy applied to biological time-course microarray replicates.

Sample Metadata Fields

Specimen part

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accession-icon GSE42007
A Kinetic Analysis of Auxin-mediated Changes in Transcript Abundance in Arabidopsis Reveals New Mediators of Root Growth and Development
  • organism-icon Arabidopsis thaliana
  • sample-icon 48 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Auxin-dependent transcript abundance was assayed by transferring 6 day old Arabidopsis grown on a a nylon mesh to IAA-containing or control media

Publication Title

A kinetic analysis of the auxin transcriptome reveals cell wall remodeling proteins that modulate lateral root development in Arabidopsis.

Sample Metadata Fields

Specimen part

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accession-icon GSE41342
Data from a time course study of gene expression in a mouse model of osteoarthritis
  • organism-icon Mus musculus
  • sample-icon 26 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Genome 430 2.0 Array (mouse4302)

Description

The purpose of this study was to characterize the histologic development of OA in a mouse model where OA is induced by destabilization of the medial meniscus (DMM model) and to identify genes regulated during different stages of the disease, using RNA isolated from the joint organ and analyzed using microarrays.427 genes from the microarrays passed consistency and significance filters. There was an initial up-regulation at 2 and 4 weeks of genes involved in morphogenesis, differentiation, and development, including growth factor and matrix genes, as well as transcription factors including Atf2, Creb3l1, and Erg. Most genes were off or down-regulated at 8 weeks with the most highly down-regulated genes involved in cell division and the cytoskeleton. Gene expression increased at 16 weeks, in particular extracellular matrix genes including Prelp, Col3a1 and fibromodulin.The results support a phasic development of OA with early matrix remodelling and transcriptional activity followed by a more quiescent period that is not maintained.

Publication Title

Disease progression and phasic changes in gene expression in a mouse model of osteoarthritis.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE52354
Gene expression comparison of E14.5 Foxd1 null and wild type kidneys
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Mouse Gene 1.0 ST Array (mogene10st)

Description

Forkhead transcription factors are essential for diverse processes in early embryonic development and organogenesis. Foxd1 is required during kidney development and its inactivation results in failure of nephron progenitor cell differentiation. Foxd1 is expressed in interstitial cells adjacent to nephron progenitor cells, suggesting an essential role for the progenitor cell niche in nephrogenesis. To better understand how cortical interstitial cells in general, and FOXD1 in particular, influence the progenitor cell niche, we examined the differentiation states of two progenitor cell subtypes in Foxd1-/- tissue. We found that while nephron progenitor cells are retained in a primitive CITED1-expressing compartment, cortical interstitial cells prematurely differentiate. To identify pathways regulated by FOXD1, we used microarray analysis and screened for target genes by comparison of Foxd1 null and wild type tissues.

Publication Title

FOXD1 promotes nephron progenitor differentiation by repressing decorin in the embryonic kidney.

Sample Metadata Fields

Specimen part

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accession-icon SRP028118
Derivation of endothelial colony forming cells from human pluripotent stem cells
  • organism-icon Homo sapiens
  • sample-icon 5 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Human induced pluripotent stem (hiPS) cells and human embryonic stem (hES) cells differentiate into cells of the endothelial lineage, but derivation of cells with human umbilical cord blood endothelial colony forming cell (ECFC)-like properties has not been reported. Here we describe a novel serum- and stromal cell-free ECFC differentiation protocol for the derivation of clinically relevant numbers of ECFCs (> 108) from hiPS and hES cells. We identified NRP-1+CD31+ selected cells that displayed a stable endothelial phenotype exhibiting high clonal proliferative potential, extensive replicative capacity, formation of human vessels that inosculated with host vasculature upon transplantation, but lacking in teratoma formation in vivo. We also identified NRP-1-VEGF165-KDR-mediated activation of KDR as a critical mechanism for the emergence and derivation of ECFCs from hiPS and hES cells. This protocol advances the field by generating highly replicative but stable endothelial cells for use as a potential cell therapy for human clinical disorders. Overall design: Transcriptome sequencing of undifferentiated day 0 hiPS cells, Day 3 differentiated hiPS-derived mesoderm proginator cells, Day 12 hiPS-derived NRP-1+CD31+ cells, Day 12 H9-hES-derived NRP-1+CD31+ cells and cord blood-derived Endothelial colony forming cells.

Publication Title

Differentiation of human pluripotent stem cells to cells similar to cord-blood endothelial colony-forming cells.

Sample Metadata Fields

Specimen part, Subject

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accession-icon GSE86376
A new axis linking diabetes to cancer: Glucose regulates tumor suppressor TET2 and 5hmC through AMPK
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Glucose-regulated phosphorylation of TET2 by AMPK reveals a pathway linking diabetes to cancer.

Sample Metadata Fields

Specimen part, Cell line

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accession-icon GSE85990
Expression data of A2058-TET2WT, A2058-TET2M, and Mock cells treated under high-g and normal-g
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Diabetes is a complex metabolic syndrome characterized by prolonged high blood glucose levels. It is known that diabetes is associated with an elevated risk of cancer, however, the underlying molecular mechanisms are largely unknown. In particular, it remains unclear as to how hyperglycemia may affect epigenetic checkpoints and tumor suppressor pathways, thus enabling oncogenic transformation. Here we show that long-term hyperglycemic conditions adversely impact the anti-tumor epigenetic mark DNA 5-hydroxymethylcytosine (5hmC) through direct regulation of the tumor suppressor and DNA 5mC hydroxymethylase, TET2. We identify TET2 as a novel substrate of the AMP-activated kinase (AMPK).

Publication Title

Glucose-regulated phosphorylation of TET2 by AMPK reveals a pathway linking diabetes to cancer.

Sample Metadata Fields

Specimen part, 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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