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accession-icon GSE28177
Expression data from HAART interruption in HIV patients
  • organism-icon Homo sapiens
  • sample-icon 6 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

We evaluated longitudinal changes in viral replication and emergence of viral variants in the context of T cell homeostasis and gene expression in GALT of three HIV-positive patients who initiated HAART during primary HIV infection but opted to interrupt therapy thereafter. Longitudinal viral sequence analysis revealed that a stable proviral reservoir was established in GALT during primary HIV infection that persisted through early HAART and post-therapy interruption. Proviral variants in GALT and peripheral blood mononuclear cells (PBMCs) displayed low levels of genomic diversity at all times. A rapid increase in viral loads with a modest decline of CD4 T cells in peripheral blood was observed, while gut mucosal CD4 T cell loss was severe following HAART interruption. This was accompanied by increased mucosal gene expression regulating interferon (IFN)-mediated antiviral responses and immune activation, a profile similar to those found in HAART-naive HIV-infected patients.

Publication Title

The gut mucosal viral reservoir in HIV-infected patients is not the major source of rebound plasma viremia following interruption of highly active antiretroviral therapy.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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accession-icon GSE51472
Expression data of human aortic valve cusps
  • organism-icon Homo sapiens
  • sample-icon 14 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Calcific aortic valve disease is the most common form of valvular heart disease in the Western World. Milder degrees of aortic valve calcification is called aortic sclerosis and severe calcification with impaired leaflet motion is called aortic stenosis.

Publication Title

MicroRNA-125b and chemokine CCL4 expression are associated with calcific aortic valve disease.

Sample Metadata Fields

Specimen part, Disease, Disease stage

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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

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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

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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 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

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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
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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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