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accession-icon GSE43552
Expression profiling of human medulloblastoma cell line ONS76 upon siRNA-mediated knockdown of KDM5A/LSD1
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

KDM5A/LSD1 is an important epigenetic regulator in medulloblastoma, the most frequent brain tumor of childhood. Here, the response of ONS76 medulloblastoma cells upon siRNA-mediated knockdown of KDM5A is analysed.

Publication Title

The KDM1A histone demethylase is a promising new target for the epigenetic therapy of medulloblastoma.

Sample Metadata Fields

Specimen part, Cell line, Treatment

View Samples
accession-icon GSE13273
LSD1 knock down in SY5Y Cells
  • organism-icon Homo sapiens
  • sample-icon 4 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To analyze the functional relevance of LSD1 in neuroblastic tumors, SH-SY5Y cells were transiently transfected with siRNA directed against LSD1 or with a scrambled control siRNA. Microarray analysis revealed changes in expression that were consistent with these observations 72 hours after LSD1 knock-down. At this time, 28 genes were significantly induced at least 1.5-fold and 29 genes were significantly repressed at least 1.5-fold. Among the 28 induced genes, 4 are markers of cytoskeletal remodelling (TNS1, TPM1, DNM2, DNAL4), indicating differentiation, and 3 (TPM1, DNM2 and SHANK2) are functionally linked to neurite dynamics and synaptic trafficking. TaqMan quantitative RT-PCR confirmed the expression changes detected via microarray analysis for LSD1, DNAL4, DNM2, TNS1 and TPM1

Publication Title

Lysine-specific demethylase 1 is strongly expressed in poorly differentiated neuroblastoma: implications for therapy.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE100240
Gene expression data from posterior fossa ependymomas
  • organism-icon Homo sapiens
  • sample-icon 37 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We have discovered two major molecular subgroups of PFA molecular group posterior fossa ependymomas by DNA methylation profiling. These are also distinguished by gene expression profiling using Affymetrix U133v2 arrays with correspondence to data generated by DNA methylation profiling.

Publication Title

Molecular heterogeneity and CXorf67 alterations in posterior fossa group A (PFA) ependymomas.

Sample Metadata Fields

Sex, Specimen part

View Samples
accession-icon GSE64415
Gene expression data from ependymal tumor samples
  • organism-icon Homo sapiens
  • sample-icon 205 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Ependymal tumors across age groups have been classified and graded solely by histopathology. It is, however, commonly accepted that this classification scheme has limited clinical utility based on its lack of reproducibility in predicting patient outcome. We aimed at establishing a reliable molecular classification using DNA methylation fingerprints and gene expression data of the tumors on a large cohort of 500 tumors. Nine robust molecular subgroups, three in each anatomic compartment of the central nervous system (CNS), were identified.

Publication Title

Molecular Classification of Ependymal Tumors across All CNS Compartments, Histopathological Grades, and Age Groups.

Sample Metadata Fields

Sex, Specimen part

View Samples
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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accession-icon GSE53410
Identification of alternative splicing events regulated by the splicing factor SRSF1 using data from exon-junction microarray technologies
  • organism-icon Homo sapiens
  • sample-icon 9 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Exon 1.0 ST Array [hjay.r1 version (huex10st)

Description

Analysis to identify genome-wide differential alternative splicing events in A549 cells in which the levels of the gene SRSF1 were down-regulated with a specific siRNA

Publication Title

Identification of alternative splicing events regulated by the oncogenic factor SRSF1 in lung cancer.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE34047
SA, elf18 treatment of WT and tbf1 mutant
  • organism-icon Arabidopsis thaliana
  • sample-icon 22 Downloadable Samples
  • Technology Badge Icon Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)

Description

Identification of TBF1-dependent and SA, elf18-responsive genes in Arabidopsis

Publication Title

The HSF-like transcription factor TBF1 is a major molecular switch for plant growth-to-defense transition.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE17170
A systems genetics approach implicates USF1, FADS3 and other causal candidate genes for familial combined hyperlipidemia
  • organism-icon Homo sapiens
  • sample-icon 68 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Assessment of mRNA expression levels in fat biopsies from subcutaneous adipose tissue from unrelated individuals.

Publication Title

A systems genetics approach implicates USF1, FADS3, and other causal candidate genes for familial combined hyperlipidemia.

Sample Metadata Fields

Specimen part

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accession-icon GSE17300
Overexpression of USF1 in HEK293T cells
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Overexpression of USF1 in HEK293T cells in vitro to ascertain the genes downstream of USF1. Will identify direct targets as well as indirect targets of USF1.

Publication Title

A systems genetics approach implicates USF1, FADS3, and other causal candidate genes for familial combined hyperlipidemia.

Sample Metadata Fields

Cell line

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accession-icon SRP193559
Inactivation of CFTR by CRISPR/Cas9 alters transcriptional regulation of inflammatory pathways and other networks
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2500, NextSeq 550

Description

Individuals with cystic fibrosis (CF) experience elevated inflammation in multiple organs, but whether this reflects an inherent feature of CF cells or is a consequence of a pro-inflammatory environment is not clear. Using CRISPR/Cas9-mediated mutagenesis of CFTR, 17 subclonal cell lines were generated from Caco-2 cells. Clonal lines with functional CFTR (CFTR+) were compared to those without (CFTR-) to directly address the role of CFTR in inflammatory gene regulation. All lines maintained CFTR mRNA production and formation of tight junctions. CFTR+ lines displayed short circuit currents in response to forskolin, while the CFTR- lines did not. Baseline expression of both cytokines was not different between the lines regardless of CFTR genotype. All lines responded to TNFa and IL1b by increasing IL6 and CXCL8 (IL8) mRNA levels, but the CFTR- lines produced more CXCL8 mRNA than the CFTR+ lines. Transcriptomes of 6 CFTR- and 6 CFTR+ lines, before and after stimulation by TNFa, were compared for differential expression as a function of CFTR genotype. While some genes appeared to be differentially expressed simply because of CFTR's absence, others required stimulation for differences to be apparent. Together, these data suggest cells respond to CFTR's absence by modulating transcriptional networks, some of which are only apparent when cells are exposed to different environmental contexts, such as inflammation. With regards to inflammation, these data suggest a model in which CFTR's absence leads to a poised, pro-inflammatory state of cells that is only revealed by stimulation. Overall design: Compare cells with intact CFTR to cells lacking CFTR for overall gene expression under basal and TNFa-stimulated conditions

Publication Title

Inactivation of CFTR by CRISPR/Cas9 alters transcriptional regulation of inflammatory pathways and other networks.

Sample Metadata Fields

Specimen part, Treatment, Subject

View Samples

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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Developed by the Childhood Cancer Data Lab

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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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