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accession-icon GSE59949
Expression data from human dental follicle cells
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

We analysed the genexpression of dental follicle cells (DFCs) after 3 days osteogenic differentiation with BMP2 after transfection with a DLX3 plasmid (pDLX3) and after transfection with an empty plasmid (pEV)

Publication Title

A protein kinase A (PKA)/β-catenin pathway sustains the BMP2/DLX3-induced osteogenic differentiation in dental follicle cells (DFCs).

Sample Metadata Fields

Specimen part

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accession-icon GSE10086
Expression profiling of V600E BRAF and RTK-activated cells upon MEK inhibition
  • organism-icon Homo sapiens
  • sample-icon 35 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

This study used microarray expression analysis to identify global changes in transcript alteration in response to MEK inhibition. Genes under ERK control were identified in a panel of V600E BRAF and RTK-activated tumor cells and xenografts, using short-term inhibition of ERK activity using the MEK inhibitor PD0325901 (Pfizer).

Publication Title

(V600E)BRAF is associated with disabled feedback inhibition of RAF-MEK signaling and elevated transcriptional output of the pathway.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE10087
Paired MEK inhibited and control
  • organism-icon Homo sapiens
  • sample-icon 31 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

This study used microarray expression analysis to identify global changes in transcript alteration in response to MEK inhibition. Genes under ERK control were identified in a panel of V600E BRAF and RTK-activated tumor cells and xenografts, using short-term inhibition of ERK activity using the MEK inhibitor PD0325901 (Pfizer).

Publication Title

(V600E)BRAF is associated with disabled feedback inhibition of RAF-MEK signaling and elevated transcriptional output of the pathway.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE43221
Transcript levels in CCE WT and RARgamma knockout murine embryonic stem cells treated with either all-trans retinoic acid (8 and 24 hr) or with vehicle control
  • organism-icon Mus musculus
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina MouseRef-8 v2.0 expression beadchip

Description

Retinoic acid receptors (RARs) , , and heterodimerize with Retinoid X receptors (RXR) , , and and bind the cis-acting response elements known as RAREs to execute the biological functions of retinoic acid during mammalian development. RAR mediates the anti-proliferative and apoptotic effects of retinoids in certain tissues and cancer cells, such as melanoma and neuroblastoma cells. Furthermore, ablation of RAR enhanced the tumor incidence of Ras transformed keratinocytes and was associated with resistance to retinoid mediated growth arrest and apoptosis.

Publication Title

RARγ is essential for retinoic acid induced chromatin remodeling and transcriptional activation in embryonic stem cells.

Sample Metadata Fields

Specimen part, Treatment, Time

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accession-icon GSE31628
Gene expression profiles of DFCs and SHED 48 hours after in vitro transfection with a TP53 plasmid, a SP1 plasmid, or an empty vector.
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.1 ST Array (hugene11st)

Description

Dental follicle is a loose connective tissue that surrounds the developing tooth. Dental follicle cells (DFCs) have a promising potential for tissue engineering applications including periodontal and bone regeneration. However, little is known about the molecular mechanisms underlying osteogenic differentiation. In a previous study we detected that more than 35 % of genes that are regulated during osteogenic differentiation of DFCs have promoter binding sites for the transcription factors TP53 and SP1. However, the role of these transcription factors in dental stem cells is still unknown. We hypothesize that both factors influence the processes of cell proliferation and differentiation in dental stem cells. Therefore, we transiently transfected DFCs and dental pulp stem cells (SHED; Stem cells from human exfoliated decidiuous teeth) with expression vectors for these transcription factors. After overexpression of SP1 and TP53, SP1 influenced cell proliferation and TP53 osteogenic differentiation in both dental cell types. The effects on cell proliferation and differentiation were less pronounced after siRNA mediated silencing of TP53 and SP1. This indicates that the effects we observed after TP53 and SP1 overexpression are indirect and subject of complex regulation. Interestingly, upregulated biological processes in DFCs after TP53-overexpression resemble the downregulated biological processes in SHED after SP1-overexpression. Here, regulated processes are involved in cell motility, wound healing and programmed cell death. In conclusion, our study demonstrates that SP1 and TP53 influence cell proliferation and differentiation and similar biological processes in both SHED and DFCs.

Publication Title

Transcription factors TP53 and SP1 and the osteogenic differentiation of dental stem cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE10088
Time course of MEK inhibition
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A 2.0 Array (hgu133a2)

Description

This study used microarray expression analysis to identify global changes in transcript alteration in response to MEK inhibition. Genes under ERK control were identified in a representative V600E BRAF cell line as a function of time following exposure to a small molecule inhibitor of MEK.

Publication Title

(V600E)BRAF is associated with disabled feedback inhibition of RAF-MEK signaling and elevated transcriptional output of the pathway.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE20963
Gene expression profiles of dental follicle cells after 7 days of differentiation in vitro with BMP2, IGF2 and dexamethasone
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We analysed gene expression profiles in dental follicle cells after 7 days of osteogenic differentiation with different inducers.

Publication Title

The differentiation and gene expression profile of human dental follicle cells.

Sample Metadata Fields

Specimen part

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accession-icon GSE18072
Gene expression profiles of dental follicle cells before and after osteogenic differentiation in vitro
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 1.0 ST Array (hugene10st)

Description

We analysed gene expression profiles in dental follicle cells before and after osteogenic differentiation with dexamethasone.

Publication Title

Gene expression profiles of dental follicle cells before and after osteogenic differentiation in vitro.

Sample Metadata Fields

Specimen part

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accession-icon GSE24739
Gene expression differences between highly enriched normal and chronic myelogenous leukemia quiescent stem/progenitor cells and correlations with biological abnormalities
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In comparing gene expression of normal and CML CD34+ quiescent (G0) and proliferating (G1/S/G2/M) cells, 292 genes were down-regulated and 192 genes were up-regulated in the CML G0 cells. The differentially expressed genes were grouped according to their reported functions and correlations were sought with biological differences previously observed between the same groups. The most apparent correlations include: i) Normal and CML G0 cells are more primitive than G1/S/G2/M cells; ii) CML G0 cells are in a more advanced stage of development and more poised to begin proliferating than normal G0 cells; iii) When CML G0 cells are stimulated to proliferate, they undergo further differentiation and maturation more rapidly than normal G0 cells, but both granulopoiesis and erythropoiesis are less efficient than normal; iv) Whereas normal G0 cells form only granulocyte/monocyte (GM) colonies when stimulated by cytokines, CML G0 cells consistently form a combination of GM and erythroid clusters and colonies; and v) Prominin-1 (CD133) is the gene most down-regulated in CML G0 cells and its down-regulation appears to be associated with the spontaneous formation of erythroid colonies by CML progenitors without EPO. The gene most over-expressed in CML G0 cells is LepR, but its role in contributing to the myeloid expansion and other abnormalities is unknown. It was hoped that LepR might serve as a therapeutic target, but leptin had no stimulatory or inhibitory effect on either normal or CML G0 cells, our attempts to make a specific LepR antibody were unsuccessful, and no other potentially targetable over-expressed surface antigens were identified.

Publication Title

Gene Expression Differences between Enriched Normal and Chronic Myelogenous Leukemia Quiescent Stem/Progenitor Cells and Correlations with Biological Abnormalities.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE2603
Subpopulations of MDA-MB-231 and Primary Breast Cancers
  • organism-icon Homo sapiens
  • sample-icon 119 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Subpopulations of MDA-MB-231 that exhibit different metastatic tropisms when injected into immuno-deficient mice. Also, a cohort of primary breast cancers surgically resected at the Memorial Sloan-Kettering Cancer Center (MSKCC).

Publication Title

Genes that mediate breast cancer metastasis to lung.

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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