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accession-icon GSE57810
Expression profiling of tumor cells from MYCN-driven neuroblastoma upon BRD4 or AURKA inhibition
  • organism-icon Mus musculus
  • sample-icon 12 Downloadable Samples
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Description

Amplification of MYCN is the most prominent genetic marker of high-stage neuroblastoma, a childhood tumor originating from the neural crest. We generated a cell line (mNB-A1) from tumors developed in transgenic mouse and treated these cells with DMSO (n=6), the BRD4-inhibitor JQ1 (n=3) or the AURKA-inhibitor MLN8237 (n=3) for 24 h.

Publication Title

A Cre-conditional MYCN-driven neuroblastoma mouse model as an improved tool for preclinical studies.

Sample Metadata Fields

Specimen part, Cell line, Treatment

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accession-icon GSE11723
Role of Notch signaling on hematopoietic stem cell differentiation
  • organism-icon Mus musculus
  • sample-icon 9 Downloadable Samples
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Description

Although Notch signaling has been clearly implicated in lymphoid differentiation, its role in myeloid lineages differentiation is unclear.

Publication Title

Notch signaling specifies megakaryocyte development from hematopoietic stem cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE18351
Expression profile of isolated lymphoblasts from mice treated with vehicle or SAHM1
  • organism-icon Mus musculus
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon

Description

NOTCH proteins regulate signaling pathways involved in cellular differentiation, proliferation and death. Overactive Notch signaling as been observed in numerous cancers and has been extensively studied in the context of T-cell acute lymphoblastic leukemia (T-ALL) where more than 50% of pateints harbour mutant NOTCH1. Small molecule modulators of these proteins would be important for understanding the role of NOTCH proteins in malignant and normal biological processes.

Publication Title

Direct inhibition of the NOTCH transcription factor complex.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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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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