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accession-icon GSE53733
Expression data from primary Glioblastoma in adults
  • organism-icon Homo sapiens
  • sample-icon 68 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

Gene expression profiling revealed over-representation of a distinct (proneural-like) expression signature in long-term survivors that was linked to IDH1/2 mutation. However, among the IDH1/2-wildtype patients, tumors from long-term survivors did not show distinct gene expression profiles and included proneural, classical and mesenchymal glioblastoma subtypes.

Publication Title

Molecular characterization of long-term survivors of glioblastoma using genome- and transcriptome-wide profiling.

Sample Metadata Fields

Specimen part

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accession-icon GSE22470
Translocations Activating IRF4 Identify a Subtype of Germinal-Center-Derived B-cell Lymphoma Affecting Predominantly Children and Young Adults
  • organism-icon Homo sapiens
  • sample-icon 271 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Background: Germinal center B-cell (GCB) lymphomas are common in children and adults. The prognosis strongly depends on age. Subgroups of GCB-lymphomas are characterized by chromosomal translocations affecting immunoglobulin (IG) loci leading to oncogene deregulation.

Publication Title

Translocations activating IRF4 identify a subtype of germinal center-derived B-cell lymphoma affecting predominantly children and young adults.

Sample Metadata Fields

Sex, Age

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accession-icon SRP010139
Gene Mapping via Bulked Segregant RNA-Seq (BSR-Seq)
  • organism-icon Zea mays
  • sample-icon 2 Downloadable Samples
  • Technology Badge IconIllumina Genome Analyzer IIx

Description

Bulked segregant analysis (BSA) is an efficient method to rapidly and efficiently map genes responsible for mutant phenotypes. This procedure, however, requires access to quantitative genetic markers that are polymorphic in the mapping population. We have developed a modification of BSA (BSR-Seq) that makes use of RNA-Seq reads to efficiently map genes even in populations for which no polymorphic markers have been previously identified. Because of the digital nature of next-generation sequencing (NGS) data, it is possible to conduct de novo SNP discovery and quantitatively genotype BSA samples using the same RNA-Seq data. In addition, analysis of the RNA-Seq data provides information on the effects of the mutant on global patterns of gene expression at no extra cost. In combination these results greatly simplify gene cloning experiments. To demonstrate the utility of this strategy BSR-Seq was used to clone the glossy3 (gl3) gene of maize. Mutants of the glossy loci exhibit altered accumulation of epicuticular waxes on juvenile leaves. We previously generated a large collection of glossy mutants using the Mu transposon system. By subjected a reference allele to BSR-Seq, we were able to map the gl3 locus to a ~2.3Mb interval that is consistent with the results of prior mapping experiments. The single gene located in the 2.3Mb mapping interval that contained a Mu insertion and whose expression was down-regulated in the mutant pool was subsequently demonstrated to be the gl3 gene via the analysis of multiple independently Mu transposon induced mutant alleles. The gl3 gene encodes a putative myb transcription factor, which directly or indirectly affects the expression of a number of genes involved in the biosynthesis of very-long-chain fatty acids.

Publication Title

Changes in genome content generated via segregation of non-allelic homologs.

Sample Metadata Fields

No sample metadata fields

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accession-icon GSE57612
Characterization of genomic imbalances in diffuse large B-cell lymphoma by high resolution SNP-chip analysis
  • organism-icon Homo sapiens
  • sample-icon 148 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

This SuperSeries is composed of the SubSeries listed below.

Publication Title

Characterization of genomic imbalances in diffuse large B-cell lymphoma by detailed SNP-chip analysis.

Sample Metadata Fields

Sex, Age

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accession-icon GSE57611
HGU133A expression array data for diffuse large B cell lymphoma samples
  • organism-icon Homo sapiens
  • sample-icon 148 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

The pathogenesis of diffuse large B cell lymphomas (DLBCL) is only partly understood. We analyzed 148 DLBCL by high resolution single nucleotide polymorphism (SNP)-chips to characterize genomic imbalances. Seventy-nine cases were of the germinal center B-cell like (GCB) type of DLBCL, 49 of the activated B-cell like (ABC) subtype and 20 were type 3 DLBCL. Twenty-four regions of recurrent genomic gains and 38 regions of recurrent genomic losses were identified over the whole cohort, with a median of 25 imbalances per case for ABC-DLBCL and 19 per case for GCB-DLBCL. Several recurrent copy number changes showed differential frequencies in the GCB- and ABC-DLBCL subgroups, including gains of HDAC7A predominantly in GCB-DLBCL (38% of cases) and losses of BACH2 and CASP8AP2 predominantly in ABC-DLBCL (35%), hinting at disparate pathogenetic mechanisms in these entities. Correlating gene expression and copy number revealed a strong gene dosage effect in all tumors, with 34% of probesets showing a concordant expression change in affected regions. Two new potential tumor suppressor genes emerging from the analysis, CASP3 and IL5RA, were sequenced in 10 and 16 candidate cases, respectively. However, no mutations were found, pointing to a potential haploinsufficiency effect of these genes, considering their reduced expression in cases with deletions. This work thus describes differences and similarities in the landscape of genomic aberrations in the DLBCL subgroups in a large collection of cases, confirming already known targets, but also discovering novel copy number changes with possible pathogenetic relevance.

Publication Title

Characterization of genomic imbalances in diffuse large B-cell lymphoma by detailed SNP-chip analysis.

Sample Metadata Fields

Sex, Age

View Samples
accession-icon GSE23117
Gene expression in minor salivary gland of patients with Sjogren's syndrome (SS) and control
  • organism-icon Homo sapiens
  • sample-icon 15 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

To study the gene expression profile of salivary glands with varying degrees of inflammation in Sjogren's and non Sjogren's patients

Publication Title

Chitinases in the salivary glands and circulation of patients with Sjögren's syndrome: macrophage harbingers of disease severity.

Sample Metadata Fields

Specimen part, Disease

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accession-icon GSE103944
Gene Expression Profiling reveals a close relationship between Follicular lymphoma Grade 3A and 3B, but distinct profiles of Follicular Lymphoma Grade 1 and 2
  • organism-icon Homo sapiens
  • sample-icon 84 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133A Array (hgu133a)

Description

Since follicular lymphoma (FL) grade 3A often coexist with a FL1/2 component a linear progression model of FL1, FL2 and FL3A has been developed. FL3B, on the other hand, is supposed to be more closely related to diffuse large B-cell lymphoma (DLBCL) and both FL3B and DLBCL are often simultaneously present in one tumor (DLBCL/FL3B).

Publication Title

Gene expression profiling reveals a close relationship between follicular lymphoma grade 3A and 3B, but distinct profiles of follicular lymphoma grade 1 and 2.

Sample Metadata Fields

Sex, Age, Specimen part

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accession-icon GSE22229
Identification of a B cell signature associated with renal transplant Tolerance in humans
  • organism-icon Homo sapiens
  • sample-icon 55 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

In this study, investigators recruited the largest reported cohort of tolerant kidney transplant recipients who maintained their graft after ceasing to take their immunosuppression drug, and compared this cohort to subjects with stable allograft function while on immunosuppression and healthy non transplated, controls. Using gene expression studies, they identified genetic markers that are strong candidates for predicting kidney transplant candidates who may benefit from minimization or withdrawl of immunosuppression.

Publication Title

Identification of a B cell signature associated with renal transplant tolerance in humans.

Sample Metadata Fields

Specimen part

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accession-icon GSE108113
Shared molecular targets in the glomerular and tubulointerstitial transcriptomes from patients with nephrotic syndrome and ANCA-associated vasculitis
  • organism-icon Homo sapiens
  • sample-icon 275 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Gene 2.1 ST Array (hugene21st)

Description

This SuperSeries is composed of the SubSeries listed below. A subset of samples profiled in this analysis were also profiled in Series GSE68127, and GSE104066. Corresponding glomerular transcriptome data can be found under GEO ID: GSE108109.

Publication Title

Metabolic pathways and immunometabolism in rare kidney diseases.

Sample Metadata Fields

Specimen part

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accession-icon GSE104948
Glomerular Transcriptome from European Renal cDNA Bank subjects and living donors
  • organism-icon Homo sapiens
  • sample-icon 196 Downloadable Samples
  • Technology Badge Icon Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)

Description

summary : Glomerular Transcriptome from European Renal cDNA Bank subjects and living donors. Samples included in this analysis have been previously analyzed using older CDF definitions and are included under previous GEO submissions - GSE47183 (chronic kidney disease samples), and GSE32591 (IgA nephropathy samples).

Publication Title

Metabolic pathways and immunometabolism in rare kidney diseases.

Sample Metadata Fields

Specimen part, Disease

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)

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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