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accession-icon SRP081074
CD133+ vs. CD133- cells in GBML8, a primary glioblastoma tumorsphere culture
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

CD133+ and CD133- cells were FACS islated from GBML8 cells to find gene signatures upregulated in cancer stem cells Overall design: After surface immuno staining, CD133+ and CD133- cells were FACS isolated and subjected to RNA isolation. Experiment represent averaged data of 2 independent FACS isolations.

Publication Title

GPR133 (ADGRD1), an adhesion G-protein-coupled receptor, is necessary for glioblastoma growth.

Sample Metadata Fields

Specimen part, Subject

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accession-icon SRP099826
RNA-seq of H9-hESC derived human neural stem cells with combinations of mutant IDH1-R132H overexpression, P53 shRNA knockdown and/or ATRX shRNA knockdown
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

RNA-seq was performed to assess gene expression alterations by the addition of serial oncogenic hits (mutant-IDH1, P53 knockdown and ATRX knockdown) in human neural stem cells. Overall design: All RNA-seq was performed in duplicates, there are four conditions total. Vector NSCs are the control line and have an empty mCherry vector and a scramble shRNA vector. One hit NSCs express mutant-IDH1 and have a scamble shRNA vector. Two-hit NSCs express mutant IDH1 and have p53 knockdown. Three-hit NSCs express mutant-IDH1, P53 knockdown and ATRX knockdown.

Publication Title

Low-Grade Astrocytoma Mutations in IDH1, P53, and ATRX Cooperate to Block Differentiation of Human Neural Stem Cells via Repression of SOX2.

Sample Metadata Fields

Subject

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accession-icon SRP103733
TonEBP/NFAT5 controls inflammatory transcriptional response to TNF-a in nucleus pulposus cells
  • organism-icon Rattus norvegicus
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500

Description

RNA sequencing of nucleus pulposus cells transduced with shRNA (control or TonEBP-targeted) and either untreated or treated with TNF-a (24h) Overall design: Total mRNA was collected from primary nucleus pulposus cells and subjected to RNA sequencing, n=3 for all experimental groups

Publication Title

TNF-α promotes nuclear enrichment of the transcription factor TonEBP/NFAT5 to selectively control inflammatory but not osmoregulatory responses in nucleus pulposus cells.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE73038
Gene expression data from CNS-PNETs and various other brain tumor samples
  • organism-icon Homo sapiens
  • sample-icon 177 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Primitive neuroectodermal tumors of the central nervous system (CNS PNETs) are highly aggressive, poorly differentiated embryonal tumors occurring predominantly in young children. Using DNA methylation and gene expression profiling we have demonstrated that a significant proportion of institutionally diagnosed CNS PNETs display molecular profiles indistinguishable from those of various other well defined CNS tumor entities, facilitating diagnosis and appropiate therapy for children with these tumors. From the remaining fraction of CNS PNETs, we have identified four distinct new CNS tumor entities extending to other neuroepithelial tumors, each associated with a recurrent genetic alteration and particular histopathological and clinical features. These molecular entities, designated CNS Neuroblastoma with FOXR2 activation (CNS NB FOXR2), CNS Ewing sarcoma family tumor with CIC alteration (CNS EFT CIC), CNS high grade neuroepithelial tumor with MN1 alteration (CNS HGNET MN1), and CNS high grade neuroepithelial tumor with BCOR alteration (CNS HGNET BCOR), will enable meaningful clinical trials and the development of therapeutic strategies for patients affected by these poorly differentiated CNS tumors.

Publication Title

New Brain Tumor Entities Emerge from Molecular Classification of CNS-PNETs.

Sample Metadata Fields

Sex, Age

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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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