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accession-icon GSE26878
Digital gene and expression profiling of primary acute lymphoblastic leukemia (ALL) cells
  • organism-icon Homo sapiens
  • sample-icon 12 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

Digital gene expression profiling of primary acute lymphoblastic leukemia cells.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon SRP056802
Genome-wide mapping of TEL-AML1 targets in acute leukemia
  • organism-icon Homo sapiens
  • sample-icon 24 Downloadable Samples
  • Technology Badge IconIllumina HiSeq 2000

Description

Around 20-25% of childhood acute lymphoblastic leukemias carry the TEL-AML1 (TA) fusion gene. It is a fusion of two central hematopoietic transcription factors, TEL (ETV6) and AML1 (RUNX1). Despite its prevalence, the exact genomic targets of TA have remained elusive. We evaluated gene loci and enhancers targeted by TA genome-wide in precursor B acute leukemia cells using global nuclear run-on sequencing (GRO-seq). Overall design: Nascent RNA expression profiles were generated with GRO-seq after TEL-AML1 expression in the Nalm6 pre-B-ALL cell line in four different time points (0, 4, 12 and 24 h). TEL-AML1-mut and luciferase induction cell lines were used as controls. Two replicates were included for all six samples.

Publication Title

Genome-wide repression of eRNA and target gene loci by the ETV6-RUNX1 fusion in acute leukemia.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE26865
Gene expression profiling of primary acute lymphoblastic leukemia (ALL) cells
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

The aim of this study was to benchmark digital gene expression (DGE) profiling by massively parallel sequencing against the most commonly used method for gene expression analysis. We compared the DGE levels to expression levels from Affymetrix arrays. Data from Affymetrix Human Genome U133 plus 2.0 GeneChips was available for 12 of the 21 RNA samples from ALL patient cells analyzed by DGE.

Publication Title

Digital gene expression profiling of primary acute lymphoblastic leukemia cells.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE104301
Dual Blockade of the Lipid Kinase PIP4Ks and Mitotic Pathways Leads to Cancer-selective Lethality
  • organism-icon Homo sapiens
  • sample-icon 23 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V4.0 expression beadchip

Description

We discover drugs with a dual-inhibitory mechanism provides a unique pharmacological strategy against cancer and evidence of cross-activation between the Ras/Raf/MEK/ERK and PI3K/AKT/mTOR pathways via a RasPIK3IP1PI3K signaling network

Publication Title

Dual blockade of the lipid kinase PIP4Ks and mitotic pathways leads to cancer-selective lethality.

Sample Metadata Fields

Specimen part, Treatment

View Samples
accession-icon GSE30624
Dual Role of FoxA1 in Androgen Receptor Binding to Chromatin, Androgen Signaling and Prostate Cancer
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Dual role of FoxA1 in androgen receptor binding to chromatin, androgen signalling and prostate cancer.

Sample Metadata Fields

Specimen part, Cell line

View Samples
accession-icon GSE30622
Dual Role of FoxA1 in Androgen Receptor Binding to Chromatin, Androgen Signaling and Prostate Cancer [Expression Array]
  • organism-icon Homo sapiens
  • sample-icon 16 Downloadable Samples
  • Technology Badge IconIllumina HumanHT-12 V3.0 expression beadchip

Description

We report the dual role of FoxA1 in androgen receptor recruitment to the chromatin of androgen responsive prostate cancer cell line LNCaP-1F5 using ChIP-sequencing. Depletion of FoxA1 reprograms both androgen and glucocorticoid receptor recruitment and subsequent gene expression. The ChIP-seq has been performed using AR, FoxA1, GR, H3K4me2 antibodies. We have also mapped the DNaseI-hypersensitive sites (DHS) using deep sequencing.

Publication Title

Dual role of FoxA1 in androgen receptor binding to chromatin, androgen signalling and prostate cancer.

Sample Metadata Fields

Cell line

View Samples
accession-icon GSE49032
Genome-wide signatures of differential DNA methylation and gene expression in pediatric ALL
  • organism-icon Homo sapiens
  • sample-icon 108 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

Genome-wide signatures of differential DNA methylation in pediatric acute lymphoblastic leukemia.

Sample Metadata Fields

Specimen part, Disease, Disease stage

View Samples
accession-icon GSE47051
Genome-wide differential gene expression signatures in pediatric acute lymphoblastic leukemia subtypes
  • organism-icon Homo sapiens
  • sample-icon 108 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We surveyed the genome-wide DNA methylation levels and gene expression patterns in patients with pediatric acute lymphoblastic leukemia. Using Affymetrix U133 Plus 2.0 GeneChips, we identified a relatively small set of CpG sites that are highly correlated with gene expression.

Publication Title

Genome-wide signatures of differential DNA methylation in pediatric acute lymphoblastic leukemia.

Sample Metadata Fields

Specimen part

View Samples
accession-icon SRP058699
Gene expression of rhabdomyosarcoma cells infected with cytolytic and non-cytolytic variants of coxsackievirus B2 Ohio
  • organism-icon Homo sapiens
  • sample-icon 12 Downloadable Samples
  • Technology Badge IconIlluminaHiSeq2000

Description

In this study the gene expression in cells infected with lytic and non-lytic variants of coxsackievirus B2 Ohio (CVB2O) were analyzed using next generation sequencing. This approach was selected with the purpose of elucidating the effects of lytic and non-lytic viruses on host cell transcription. Total RNA was extracted from infected cells, next generation sequencing was performed, and the reads were subsequently mapped against the human and CVB2O genomes. The amount of intracellular virions was measured, showing a relative amount of virus RNA 13 times higher in the cells infected with the lytic variant, vVP1Q164K, compared to cells infected by the non-lytic CVB2Owt. Furthermore, differential gene expression in the cells infected with the two viruses was identified and a number of genes singled out as possible keys to the answer of how the viruses interact with the host cells, resulting in lytic or non-lytic infections. Overall design: 4 samples, two samples of one strain, one sample of a different strain, and one control sample

Publication Title

The Transcriptome of Rhabdomyosarcoma Cells Infected with Cytolytic and Non-Cytolytic Variants of Coxsackievirus B2 Ohio-1.

Sample Metadata Fields

No sample metadata fields

View Samples
accession-icon GSE25332
Restoring miR-200c to aggressive endometrial cancer cell line
  • organism-icon Homo sapiens
  • sample-icon 8 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Using a mimic miR-200c was restored to an aggressive, Type 2 endometrial cancer cell line, Hec50

Publication Title

MicroRNA-200c mitigates invasiveness and restores sensitivity to microtubule-targeting chemotherapeutic agents.

Sample Metadata Fields

Specimen part, Cell line

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)

fund-icon Fund the CCDL

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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